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array:22 [ "pii" => "S0300289624002254" "issn" => "03002896" "doi" => "10.1016/j.arbres.2024.06.005" "estado" => "S200" "fechaPublicacion" => "2024-07-16" "aid" => "3600" "copyright" => "SEPAR" "copyrightAnyo" => "2024" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:17 [ "pii" => "S0300289624002266" "issn" => "03002896" "doi" => "10.1016/j.arbres.2024.06.007" "estado" => "S200" "fechaPublicacion" => "2024-07-19" "aid" => "3602" "copyright" => "SEPAR" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original Article</span>" "titulo" => "Investigation of Inspiratory Muscle Training Efficiency Before Bronchoscopic Lung Volume Reduction: A Randomized Controlled Trial" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:3 [ 0 => "en" 1 => "en" 2 => "en" ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 1 "multimedia" => array:5 [ "identificador" => "fig0010" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => false "mostrarDisplay" => true "figura" => array:1 [ 0 => array:4 [ "imagen" => "fx1.jpeg" "Alto" => 991 "Ancho" => 1333 "Tamanyo" => 158463 ] ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Esra Pehlivan, Erdoğan Çetinkaya, Zeynep Betül Özcan, Fulya Senem Karaahmetoğlu, Mustafa Çörtük, Amine Ataç, Halit Çınarka" "autores" => array:7 [ 0 => array:2 [ "nombre" => "Esra" "apellidos" => "Pehlivan" ] 1 => array:2 [ "nombre" => "Erdoğan" "apellidos" => "Çetinkaya" ] 2 => array:2 [ "nombre" => "Zeynep Betül" "apellidos" => "Özcan" ] 3 => array:2 [ "nombre" => "Fulya Senem" "apellidos" => "Karaahmetoğlu" ] 4 => array:2 [ "nombre" => "Mustafa" "apellidos" => "Çörtük" ] 5 => array:2 [ "nombre" => "Amine" "apellidos" => "Ataç" ] 6 => array:2 [ "nombre" => "Halit" "apellidos" => "Çınarka" ] ] ] ] "resumen" => array:2 [ 0 => array:3 [ "titulo" => "Graphical abstract" "clase" => "graphical" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall"><elsevierMultimedia ident="fig0010"></elsevierMultimedia></p></span>" ] 1 => array:3 [ "titulo" => "Highlights" "clase" => "author-highlights" "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall"><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">•</span><p id="par0005" class="elsevierStylePara elsevierViewall">Pre-bronchoscopic lung volume reduction (BLVR) pulmonary rehabilitation (PR) has a positive impact on patients’ clinic.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">•</span><p id="par0010" class="elsevierStylePara elsevierViewall">Adding IMT to standard PR can lead to a greater increase in improvement in exercise capacity and spirometric parameters.</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">•</span><p id="par0015" class="elsevierStylePara elsevierViewall">Evaluating the effects of post-PR gains on patient clinic is necessary to make a decision regarding the BLVR procedure.</p></li></ul></p></span>" ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0300289624002266?idApp=UINPBA00003Z" "url" => "/03002896/unassign/S0300289624002266/v1_202407190426/en/main.assets" ] "itemAnterior" => array:16 [ "pii" => "S0300289612000968" "issn" => "03002896" "doi" => "10.1016/j.arbres.2012.02.017" "estado" => "S200" "fechaPublicacion" => "2013-05-08" "aid" => "621" "documento" => "simple-article" "crossmark" => 0 "subdocumento" => "ret" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 348 "formatos" => array:2 [ "HTML" => 82 "PDF" => 266 ] ] "en" => array:8 [ "idiomaDefecto" => true "titulo" => "WITHDRAWN: Respiratory Muscle Assessment in Predicting Extubation Outcome in Patients With Stroke" "tienePdf" => "en" "tieneTextoCompleto" => 0 "tieneResumen" => "en" "contieneResumen" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Antonio A.M. Castro, Felipe Cortopassi, Russell Sabbag, Luis Torre-Bouscoulet, Claudia Kümpel, Elias Ferreira Porto" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Antonio A.M." "apellidos" => "Castro" ] 1 => array:2 [ "nombre" => "Felipe" "apellidos" => "Cortopassi" ] 2 => array:2 [ "nombre" => "Russell" "apellidos" => "Sabbag" ] 3 => array:2 [ "nombre" => "Luis" "apellidos" => "Torre-Bouscoulet" ] 4 => array:2 [ "nombre" => "Claudia" "apellidos" => "Kümpel" ] 5 => array:2 [ "nombre" => "Elias Ferreira" "apellidos" => "Porto" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0300289612000968?idApp=UINPBA00003Z" "url" => "/03002896/unassign/S0300289612000968/v2_201305131254/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original Article</span>" "titulo" => "Associations of Cardiorespiratory Fitness and Muscular Endurance Fitness With Pulmonary Function in Physically Active Young Adults" "tieneTextoCompleto" => true "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Chia-Hsin Liu, Yen-Chen Lin, Wei-Chun Huang, Xuemei Sui, Carl J. Lavie, Gen-Min Lin" "autores" => array:6 [ 0 => array:3 [ "nombre" => "Chia-Hsin" "apellidos" => "Liu" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 1 => array:3 [ "nombre" => "Yen-Chen" "apellidos" => "Lin" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "Wei-Chun" "apellidos" => "Huang" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 3 => array:3 [ "nombre" => "Xuemei" "apellidos" => "Sui" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] 4 => array:3 [ "nombre" => "Carl J." "apellidos" => "Lavie" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">f</span>" "identificador" => "aff0030" ] ] ] 5 => array:4 [ "nombre" => "Gen-Min" "apellidos" => "Lin" "email" => array:1 [ 0 => "farmer507@yahoo.com.tw" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">g</span>" "identificador" => "aff0035" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">h</span>" "identificador" => "aff0040" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:8 [ 0 => array:3 [ "entidad" => "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Department of Internal Medicine, Linkou Chang-Gung Memorial Hospital, Taoyuan, Taiwan" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Department of Critical Care Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA" "etiqueta" => "e" "identificador" => "aff0025" ] 5 => array:3 [ "entidad" => "John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA, USA" "etiqueta" => "f" "identificador" => "aff0030" ] 6 => array:3 [ "entidad" => "Department of Medicine, Hualien Armed Forces General Hospital, Hualien City, Taiwan" "etiqueta" => "g" "identificador" => "aff0035" ] 7 => array:3 [ "entidad" => "Department of Medicine, Tri-Service General Hospital and National Defense Medical Center, Taipei, Taiwan" "etiqueta" => "h" "identificador" => "aff0040" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "resumenGrafico" => array:2 [ "original" => 1 "multimedia" => array:5 [ "identificador" => "fig0020" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => false "mostrarDisplay" => true "figura" => array:1 [ 0 => array:4 [ "imagen" => "fx1.jpeg" "Alto" => 749 "Ancho" => 1333 "Tamanyo" => 116508 ] ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Pulmonary function is a fundamental aspect of respiratory health, achieving its highest levels in young adulthood, around the ages of 20–25.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">1</span></a> Tobacco smoke exposure is a well-documented major risk factor for “impaired respiratory health”—a condition that can progress to chronic lung disease due to diminished lung growth and function.<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">2</span></a> Furthermore, recent research also suggests associations between impaired respiratory health and factors such as air pollution, obesity, and low physical fitness levels.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">2,3</span></a> A reduction in lung function not only limits exercise capacity but also increases the risk of respiratory and cardiovascular diseases, lowers health-related quality of life (HRQoL), and results in increased respiratory hospitalizations, mortality, and healthcare demands.<a class="elsevierStyleCrossRefs" href="#bib0235"><span class="elsevierStyleSup">4–6</span></a> Therefore, it is crucial to identify and address these modifiable risk factors to preserve and enhance lung function.</p><p id="par0010" class="elsevierStylePara elsevierViewall">Physical fitness serves as a critical indicator of health outcomes and influences long-term health.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">7</span></a> Studies have evaluated physical fitness through cardiorespiratory fitness (CRF) and muscular fitness, using various tests to measure them either separately or together.<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">8</span></a> Research suggests that enhanced aerobic fitness in childhood and adolescence plays a significant role in lung development, leading to improvements in FEV<span class="elsevierStyleInf">1</span> and FVC from ages 9 to 26.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">9</span></a> Additionally, young adults with higher baseline CRF levels, as measured by treadmill tests, showed reduced declines in FEV<span class="elsevierStyleInf">1</span> and FVC over 20 years, according to the Coronary Artery Risk Development in Young Adults (CARDIA) study.<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">10</span></a> While these findings suggest that CRF contributes to lung development and may help protect against future declines in lung function, the relatively small effect sizes reported indicate that the impact of fitness on lung function requires further clarification. Furthermore, the causal relationship between improved lung function and gains in fitness remains lacking. In the cohort, when the data was analyzed with lung function as the independent variable and fitness as the dependent variable, it yielded similar results.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">9</span></a> These results suggest a bidirectional relationship: individuals with superior lung function might be predisposed to higher physical fitness levels.</p><p id="par0015" class="elsevierStylePara elsevierViewall">Muscular fitness, characterized by both muscular endurance (repeated force exertion) and muscular strength (single maximal effort), is essential for sustained activity and peak performance.<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">11</span></a> In children and adolescents, higher muscular fitness correlates with lower obesity rates, diminished cardiometabolic risks, and improved HRQoL.<a class="elsevierStyleCrossRefs" href="#bib0275"><span class="elsevierStyleSup">12,13</span></a> A meta-analysis highlighted that strong muscular fitness during these early years is associated with less body fat and better cardiometabolic health later in life.<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">14</span></a> Additionally, a recent study has found a positive link between muscular strength (measured by handgrip strength and chair stand tests) and lung function in a community general population.<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">15</span></a> However, the exact relationship between CRF, muscular endurance fitness (MEF), and their impact on lung function, especially among physically active individuals, is not fully understood.</p><p id="par0020" class="elsevierStylePara elsevierViewall">The Cardiorespiratory Fitness and Health In Armed Forces (CHIEF) Lung Study aims to evaluate the association between CRF (time for a 3000-m run) and MEF (2-min push-ups and 2-min sit-ups numbers) with pulmonary function, and to clarify their individual impacts on the respiratory health of active young adults. We hypothesize that superior CRF and MEF levels are positively associated with pulmonary function, with each type of fitness making a unique correlation.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Study population</span><p id="par0025" class="elsevierStylePara elsevierViewall">The CHIEF Lung Study meticulously assessed lung function in 1231 military recruits, both male and female, aged 19–38, across Taiwan from 2017 to 2019 (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). Participants underwent medical exams for military enlistment, with no history of pulmonary tuberculosis, chronic lung conditions (e.g., lung abscess, emphysema, asthma), diaphragmatic or pleural disorders, chest wall deformities, or surgeries for pneumothorax or segmentectomy. They participated in a rigorous daily exercise regimen at a military base for six months, focusing on muscular endurance training and cardiovascular fitness. The regimen required all military personnel to complete a 3000-m run twice daily at 6:00<span class="elsevierStyleHsp" style=""></span>AM and 4:00<span class="elsevierStyleHsp" style=""></span>PM, led by the captain at a pace of 120<span class="elsevierStyleHsp" style=""></span>m per minute on weekdays. Following each run, all participants were required to perform 20 consecutive push-ups and sit-ups within 30<span class="elsevierStyleHsp" style=""></span>min. This training course lasted until the end of June. Before the mid-term physical test in July, all participants underwent an annual health checkup in June, which included laboratory tests and physical evaluations. They also filled out a questionnaire about substance use habits, such as cigarette smoking (active and former/never), alcohol consumption, and betel nut chewing at the Hualien Armed Forces General Hospital. Furthermore, participants underwent pulmonary function testing to assess their FEV<span class="elsevierStyleInf">1</span>, FVC, and the ratio of FEV<span class="elsevierStyleInf">1</span>/FVC before undergoing the annual military exercise tests. The study adhered to stringent ethical standards and was approved by the Institutional Review Board of Mennonite Christian Hospital in Hualien City (No. 16-05-008), ensuring that all participants provided informed consent.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Blood pressure and anthropometric measurements</span><p id="par0030" class="elsevierStylePara elsevierViewall">Blood pressure (BP) was measured once on each participant's right arm after a 15-min rest, using an automatic device (FT201) via the oscillometric method. Mean Arterial Pressure (MAP) was calculated using the formula: MAP<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>diastolic BP<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>1/3 (systolic BP<span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>diastolic BP). Anthropometric data, including waist circumference (WC), height, and weight, were recorded for standing participants, with body mass index (BMI) calculated as weight (kg) divided by height squared (m<span class="elsevierStyleSup">2</span>).</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">MEF and CRF assessments</span><p id="par0035" class="elsevierStylePara elsevierViewall">MEF in participants was assessed using 2-min push-up and sit-up tests, adhering to protocols from previous studies.<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">16</span></a> These evaluations were scheduled between 14:00 and 15:00 at the Military Physical Training and Testing Center, allowing for a flexible sequence. Performance was recorded on sponge pads with electronic or infrared sensors: sit-ups required elbow contact with thigh-mounted sensors, with hands near ears and feet fixed; push-ups demanded correct elbow motion and a straight body alignment, confirmed by sensors, disqualifying any touch outside of hands or toes before time. CRF was gauged through a 3000-m run, performed outdoors on level ground after an hour's rest from MEF tests. This field test, held outdoors on flat terrain at the Military Physical Training and Testing Center, was scheduled for 16:00, following an hour's rest after the muscular endurance tests. Participants wore standard sweat suits and carried no extra items.<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">17</span></a> The entire run for each participant was video-recorded and monitored by eight military sports officers. The run was contingent upon certain environmental factors: the coefficient, determined by the product of the outdoor temperature (in Celsius) and the relative humidity (%) multiplied by 0.1, had to be below 40, and there should not have been any significant rainfall. The completion time of the 3000-m run was used to assess each participant's cardiorespiratory endurance capacity.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Pulmonary function assessment</span><p id="par0040" class="elsevierStylePara elsevierViewall">Lung function was measured with a Jaeger VyntusTM Pneumo spirometer as per the American Thoracic Society.<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">18</span></a> Participants, seated with a nose clip, performed the test thrice for accurate FVC, FEV<span class="elsevierStyleInf">1</span>, and FEV/FVC ratios, inhaling fully and exhaling rapidly for 6<span class="elsevierStyleHsp" style=""></span>s. The best effort was recorded via a flow-volume curve. Lung function is expressed as <span class="elsevierStyleItalic">Z</span>-scores using the Global Lung Initiative reference equations, accounting for height, sex at birth, age, and Asian ethnicity. In addition, the predicted percentage of lung function was also presented.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Statistical analyses</span><p id="par0045" class="elsevierStylePara elsevierViewall">Continuous variables were presented as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation (SD) and categorical ones as frequencies and percentages (%). Descriptive statistics described demographics and clinical characteristics. The fitness data are presented as the median (interquartile range). Pearson's correlation and scatter plots with <span class="elsevierStyleItalic">r</span> and <span class="elsevierStyleItalic">p</span> values analyzed the relationship between pulmonary parameters and the performance of each physical test. Multivariable linear regression analysis was used to examine the associations between physical performance measurements and lung functions. The analysis was stratified into four distinct models, each designed to incrementally build upon the previous by integrating additional variables. Model 1 served as the baseline, adjusting for demographic and physiological factors including age, gender, height, weight, waist circumference, mean arterial pressure, and smoking status. Model 2 expanded on this by incorporating the 3000-m run time and the number of 2-min push-ups, aiming to assess their specific impacts. Model 3 followed a similar format but focused on the 3000-m run time and 2-min sit-ups. Finally, Model 4, the most comprehensive of the series, combined all the metrics from the previous models to provide a holistic view of the effects of combined physical activities on lung function. Results across these models were expressed through standardized beta coefficients, with significance levels noted for key findings (*<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.05, **<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.01). The <span class="elsevierStyleItalic">p</span>-interaction value was calculated to assess whether there are sex differences in the association between physical fitness and lung function. Analysis was performed using SPSS (version 29).</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Results</span><p id="par0050" class="elsevierStylePara elsevierViewall">Out of the initial cohort, four were excluded due to acute illnesses, leaving 1227 participants in the final analysis. Clinical characteristics of participants are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. The participants, primarily male at 88.2%, had an average age of 27.4 years. They maintained a healthy physique with an average BMI of 24.6<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>, and a waist circumference of 82.3<span class="elsevierStyleHsp" style=""></span>cm. Smoking status varied, with 38% currently smoking and 54% either former smokers or having never smoked. Regarding physical fitness, the participants completed a 3000-m run in an average time of 15<span class="elsevierStyleHsp" style=""></span>min and 12<span class="elsevierStyleHsp" style=""></span>s and demonstrated considerable strength and endurance by performing an average of 44.1 push-ups and 44.6 sit-ups within a two-minute timeframe for each exercise. In the study comparing clinical and physiological characteristics between sexes, notable differences were observed. Males were older, taller, and heavier than females, with correspondingly higher BMI and waist circumferences. Significant differences in smoking habits were evident, with a higher percentage of males being active or former smokers compared to females, where a majority were never smokers. Physical fitness assessments showed that males performed better in muscular endurance exercises like push-ups and sit-ups, and demonstrated superior cardiorespiratory fitness, evidenced by shorter times in the 3000-m run compared to females. Lung function measurements revealed higher absolute values of FEV<span class="elsevierStyleInf">1</span> and FVC, but no differences were observed in standardized lung function metrics such as predicted percentages and <span class="elsevierStyleItalic">Z</span>-scores.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0055" class="elsevierStylePara elsevierViewall">Pearson's correlation coefficients were used to assess the relationship between spirometer parameters and physical performance tests, specifically focusing on CRF and MEF. The relationship between pulmonary function and performance in the 3000-m run test, as well as the outcomes of the 2-minute push-up and sit-up tests, is illustrated in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>. There is a negative correlation between the time for a 3000-m run and pulmonary function, with FEV<span class="elsevierStyleInf">1</span> (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>A) and FVC (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>B) both decreasing as the run time increases (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.29, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001 for FEV<span class="elsevierStyleInf">1</span>; <span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.27, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001 for FVC). No significant correlation is observed with the FEV<span class="elsevierStyleInf">1</span>/FVC ratio. Furthermore, there is a positive correlation between the number of 2-min push-ups and pulmonary function, with both FEV<span class="elsevierStyleInf">1</span> (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>C) and FVC (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>D) increasing as the number of push-ups increases (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.32, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001 for FEV<span class="elsevierStyleInf">1</span>; <span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.29, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001 for FVC). Again, no significant correlation is observed with the FEV<span class="elsevierStyleInf">1</span>/FVC ratio. Similarly, a positive correlation is shown between the number of 2-minute sit-ups and pulmonary function, with FEV<span class="elsevierStyleInf">1</span> (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>E) and FVC (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>F) both increasing with a greater number of sit-ups performed (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.25, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001 for FEV<span class="elsevierStyleInf">1</span>; <span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.24, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001 for FVC). The FEV<span class="elsevierStyleInf">1</span>/FVC ratio does not show a significant correlation. These results suggest that better performance in fitness tests, specifically faster run time and higher numbers of push-ups and sit-ups, is associated with better pulmonary function, as measured by FEV<span class="elsevierStyleInf">1</span> and FVC. However, these fitness performances do not appear to affect the FEV<span class="elsevierStyleInf">1</span>/FVC ratio significantly. We also analyzed the correlation between physical fitness and standardized lung function using <span class="elsevierStyleItalic">Z</span>-scores. The results showed that when lung function was presented as <span class="elsevierStyleItalic">Z</span>-scores, there was no significant correlation between physical fitness and lung function (<a class="elsevierStyleCrossRef" href="#sec0075">Fig. E1, Supplementary material</a>). To ensure the results were not influenced by outlier effects, we excluded outliers defined by more than 3 standard deviations from the mean for physical fitness and lung function. Despite this, the correlation between absolute lung function measurements and physical fitness remains significant (<a class="elsevierStyleCrossRef" href="#sec0075">Fig. E2, Supplementary material</a>). Given the established correlation between tobacco consumption and physical capacity, we stratified physical fitness by cigarette smoking status. The results show that active smokers exhibited better physical fitness performance in activities such as the 3000-m run, 2-min push-ups, and 2-min sit-ups (<a class="elsevierStyleCrossRef" href="#sec0075">Fig. E3, Supplementary material</a>).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">To elucidate the relationship between CRF and MEF, data from scatter plots depicted in <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>A reveal a notable negative correlation (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.48, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001) between the number of 2-min push-ups and time for a 3000-m run. Higher numbers of push-ups correlate with shorter run times, suggesting enhanced CRF. Similarly, a negative correlation (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.40, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001) between 2-minute sit-up numbers and run time is shown in <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>B, indicating that greater muscular endurance fitness from sit-ups is associated with improved CRF. The relationship is further underscored in <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>C, which shows a strong positive correlation (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.752, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001) between performance in push-ups and sit-ups, indicating a consistent link between these two forms of exercise. Collectively, these findings highlight the interrelation of MEF and CRF, as well as the association between endurance in upper and lower limb exercises.</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">To determine the distinct impacts of various physical fitness modalities on pulmonary function, we utilized Multivariable linear regression analyses, as depicted in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>. In Model 1, after adjusting for variables such as age, gender, height, weight, WC, MAP, and smoking status, the results showed that time for a 3000-m run was inversely associated with both FEV<span class="elsevierStyleInf">1</span> (standardized <span class="elsevierStyleItalic">β</span>: −.102, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.001) and FVC (standardized <span class="elsevierStyleItalic">β</span>: −.117, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.001). Additionally, 2-min push-ups positively correlated with both FEV<span class="elsevierStyleInf">1</span> (standardized <span class="elsevierStyleItalic">β</span>: .093, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.002) and FVC (standardized <span class="elsevierStyleItalic">β</span>: .096, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.002). In contrast, 2-min sit-ups were only positively associated with FVC (standardized <span class="elsevierStyleItalic">β</span>: .063, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.034) and not with FEV<span class="elsevierStyleInf">1</span>.</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0070" class="elsevierStylePara elsevierViewall">To explore the potential associations between these physical activities and lung function, we formulated Model 2–4. These models incorporated the same variables as Model 1, with the addition of either a 3000-m run, 2-min push-ups, or 2-min sit-ups. In both Model 2 and Model 3, the duration of the 3000-m run consistently demonstrated an inverse correlation with FEV<span class="elsevierStyleInf">1</span> (standardized <span class="elsevierStyleItalic">β</span>: −.071, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.026; standardized <span class="elsevierStyleItalic">β</span>: −.089, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.004) and FVC (standardized <span class="elsevierStyleItalic">β</span>: −.087, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.008; standardized <span class="elsevierStyleItalic">β</span>: −.093, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.003). Nevertheless, 2-min push-ups only positively correlated with FEV<span class="elsevierStyleInf">1</span> (standardized <span class="elsevierStyleItalic">β</span>: .067, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.043) but not with FVC after adjusting for time for the 3000-m run. After making the same adjustment, the relationship between 2-min sit-ups and lung functions became non-significant.</p><p id="par0075" class="elsevierStylePara elsevierViewall">After adjusting for all covariates and incorporating the three physical activities into the Model 4, time for the 3000-m run continued to show a negative relationship with FEV<span class="elsevierStyleInf">1</span> (standardized <span class="elsevierStyleItalic">β</span>: −.078, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.015) and FVC (standardized <span class="elsevierStyleItalic">β</span>: −.086, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.009). Notably, the number of 2-min push-ups maintained its positive relationship with FEV<span class="elsevierStyleInf">1</span> (standardized <span class="elsevierStyleItalic">β</span>: .102, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.014) even after adjusting for time for the 3000-m run and 2-min sit-ups, indicating its unique and independent association. In contrast, when considering the performances of time for the 3000-m run and 2-min push-ups, the number of 2-min sit-ups lacked a significant relationship with both FEV<span class="elsevierStyleInf">1</span> and FVC. In addition, we also calculated a <span class="elsevierStyleItalic">p</span>-interaction value in <a class="elsevierStyleCrossRef" href="#sec0075">Table E1 (Supplementary material)</a> to determine whether sex moderates the association between physical fitness and lung function. The results showed that sex has no interaction effect on the association between physical fitness and lung function.</p><p id="par0080" class="elsevierStylePara elsevierViewall">To investigate the contribution of lung function to maximum physical fitness, we conducted a multivariate linear regression analysis, adjusting for covariates such as age, gender, height, weight, MAP, and smoking status. The analysis revealed that pulmonary function measures, when expressed as <span class="elsevierStyleItalic">Z</span>-scores, did not show significant correlations with physical fitness tests (<a class="elsevierStyleCrossRef" href="#sec0075">Table E2, Supplementary material</a>). In contrast, the absolute values of FEV<span class="elsevierStyleInf">1</span> and FVC were positively correlated with enhanced performance in the 3000-m run and push-ups (<a class="elsevierStyleCrossRef" href="#sec0075">Table E3, Supplementary material</a>). Additionally, FVC, but not FEV<span class="elsevierStyleInf">1</span>, was associated with improved sit-up performance.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Discussion</span><p id="par0085" class="elsevierStylePara elsevierViewall">In this cross-sectional study of 1227 active young adults, we explored how physical fitness levels affect lung function. Results showed that better performance in CRF, via 3000-m run times, and MEF, assessed through 2-min push-ups and sit-ups, correlated positively with FEV<span class="elsevierStyleInf">1</span> and FVC, but not with the FEV<span class="elsevierStyleInf">1</span>/FVC ratio. We found a moderate link between 3000-m run times and push-up/sit-up numbers, with a strong association between push-ups and sit-ups. Multivariable linear analysis revealed that shorter run times were correlated with higher FEV<span class="elsevierStyleInf">1</span> and FVC, independent of MEF outcomes. Notably, push-ups positively influenced FEV<span class="elsevierStyleInf">1</span> alone, while sit-ups showed no significant lung function effect in the fully adjusted model.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Our study found that improved CRF positively correlates with FEV<span class="elsevierStyleInf">1</span> and FVC in active young adults, consistent with other research across various demographics.<a class="elsevierStyleCrossRefs" href="#bib0260"><span class="elsevierStyleSup">9,19–22</span></a> A longitudinal study tracking children into adulthood affirmed this positive CRF association with FEV<span class="elsevierStyleInf">1</span> and FVC throughout all ages, but not with the FEV<span class="elsevierStyleInf">1</span>/FVC ratio.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">9</span></a> Enhancements in CRF during youth were linked to improved FEV<span class="elsevierStyleInf">1</span> and FVC in later life. This beneficial association between CRF and ventilatory lung function has been observed in diverse populations, including middle-aged,<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">21</span></a> and elderly cohorts,<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">19</span></a> and the general population.<a class="elsevierStyleCrossRefs" href="#bib0315"><span class="elsevierStyleSup">20,22</span></a> Importantly, CRF might not just enhance lung volume but could also improve lung diffusing capacity (D<span class="elsevierStyleInf">LCO</span>).<a class="elsevierStyleCrossRefs" href="#bib0310"><span class="elsevierStyleSup">19,21</span></a> These consistent findings across studies and among different age groups highlight the substantial and positive impact of CRF on lung function throughout the life span.</p><p id="par0095" class="elsevierStylePara elsevierViewall">The gold standard for assessing CRF is Cardiopulmonary Exercise Testing (CPET), which evaluates <span class="elsevierStyleItalic">V</span><span class="elsevierStyleInf">O2max</span> or <span class="elsevierStyleItalic">V</span><span class="elsevierStyleInf">O2peak</span>, and can be estimated from work rates or algorithms.<a class="elsevierStyleCrossRef" href="#bib0330"><span class="elsevierStyleSup">23</span></a> While previous research has linked CRF to lung function via <span class="elsevierStyleItalic">V</span><span class="elsevierStyleInf">O2max</span><a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">9</span></a> or <span class="elsevierStyleItalic">V</span><span class="elsevierStyleInf">O2peak</span><a class="elsevierStyleCrossRefs" href="#bib0310"><span class="elsevierStyleSup">19–22</span></a> measurements through CPET, its requirement for specific facilities and participant mask tolerance during testing limits its practicality, especially for children, the elderly, or large-scale studies.<a class="elsevierStyleCrossRef" href="#bib0435"><span class="elsevierStyleSup">24</span></a> The American Heart Association (AHA) endorses CPET and run field tests for assessing <span class="elsevierStyleItalic">V</span><span class="elsevierStyleInf">O2max</span> in youths.<a class="elsevierStyleCrossRef" href="#bib0335"><span class="elsevierStyleSup">25</span></a> Our prior research has found a significant correlation (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.729, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) between 3000-m run times and <span class="elsevierStyleItalic">V</span><span class="elsevierStyleInf">O2max</span> scaled to body mass in young adults, indicating that the 3000-m run is an effective, accessible method for estimating CRF, suitable for larger populations or settings with limited resources.<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">17</span></a></p><p id="par0100" class="elsevierStylePara elsevierViewall">The correlation between decreased pulmonary function and impaired peripheral muscle strength and endurance has been established in patients with chronic obstructive pulmonary disease (COPD).<a class="elsevierStyleCrossRefs" href="#bib0340"><span class="elsevierStyleSup">26–30</span></a> A case–control study showed that handgrip muscle strength decreases as the FEV<span class="elsevierStyleInf">1</span> and FVC decrease in patients with COPD compared to the normal subjects.<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">29</span></a> Moreover, it was observed that COPD patients experienced a pronounced decline in muscle endurance compared to muscle strength. Several studies have also confirmed a positive correlation between handgrip muscle strength and lung function across diverse populations, ranging from adolescents to the elderly.<a class="elsevierStyleCrossRefs" href="#bib0290"><span class="elsevierStyleSup">15,24,31–36</span></a> These results suggest that an association between muscular strength and lung function was observed not only in COPD patients but also in the general community population. Nevertheless, the impact of various forms of peripheral muscle endurance on lung function has been poorly investigated in previous studies, yielding inconsistent results. One study found a positive association between muscle endurance, assessed by quadriceps, and FEV<span class="elsevierStyleInf">1</span> in COPD patients,<a class="elsevierStyleCrossRef" href="#bib0340"><span class="elsevierStyleSup">26</span></a> but another study failed to identify a similar association when evaluating muscle endurance through handgrip.<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">29</span></a> These discrepancies might arise from the use of various muscle groups and measurement techniques, variability in the study populations, and small sample sizes. Our study examined the relationship between both upper and lower limb muscle endurance, separately measured by the number of 2-min push-ups and sit-ups, and lung function, revealing a positive correlation in a large cohort of physically active young adults without chronic lung diseases. Initially, both 2-min push-ups and sit-ups showed a positive correlation with FEV<span class="elsevierStyleInf">1</span> and FVC in univariate analysis. Nevertheless, the link between 2-minute sit-ups and FEV<span class="elsevierStyleInf">1</span> became insignificant after adjusting for covariates. In contrast, the 2-min push-ups maintained a positive correlation with FEV<span class="elsevierStyleInf">1</span>, even after accounting for additional physical fitness metrics such as 2-min sit-ups and 3000-m run time. These findings indicate that upper limb muscle endurance has a greater impact on lung function, particularly on FEV<span class="elsevierStyleInf">1</span>, compared to lower limb muscle endurance. Consequently, our findings propose that the 2-min push-ups fitness routine, focused on improving upper limb muscle and pectoral muscle endurance, might be beneficial in managing obstructive lung diseases like COPD or asthma with airflow limitation. Particularly, the performance of the 3000-m run remained positively correlated with both FEV<span class="elsevierStyleInf">1</span> and FVC across all models, indicating its robust impact on overall lung function.</p><p id="par0105" class="elsevierStylePara elsevierViewall">The mechanisms connecting improved or enhanced physical fitness with better lung function are not fully understood. It is plausible that regular exercise training, a determinant of CRF, may strengthen the respiratory muscles, enhance pulmonary perfusion as well as surfactant release, and ultimately lead to increased lung volumes.<a class="elsevierStyleCrossRefs" href="#bib0400"><span class="elsevierStyleSup">37–39</span></a> Additionally, enhanced fitness may decrease fat distribution, particularly abdominal and thoracic fat mass, which can constrain vital capacity and lead to expiratory flow limitation by restricting lung expansion during inhalation.<a class="elsevierStyleCrossRef" href="#bib0415"><span class="elsevierStyleSup">40</span></a> Moreover, reduced fat mass may also alleviate lung function decline by reducing inflammatory processes, as adipose tissue is a source of inflammatory mediators that can harm lung tissue and narrow airway diameter.<a class="elsevierStyleCrossRef" href="#bib0420"><span class="elsevierStyleSup">41</span></a> The positive correlation between the enhanced 2-min push-up test and lung function might be attributed to the fact that push-ups activate not only the arms and chest but also the accessory respiratory muscles, including the intercostal muscles, pectoral muscles, and those around the shoulder girdle. Furthermore, the repetitive and sustained strengthening of these muscles could improve their efficiency and capacity, thereby contributing to improved lung function.</p><p id="par0110" class="elsevierStylePara elsevierViewall">In the study, we analyzed the correlation between lung function and physical fitness, presenting lung function as either absolute values or <span class="elsevierStyleItalic">Z</span>-scores, which resulted in inconsistent findings. The inconsistency in the correlation results between absolute lung function values and physical fitness versus standardized lung function (<span class="elsevierStyleItalic">Z</span>-scores) could be partly explained by the attenuation of the association when anthropometric variables were accounted for at an individual level. When lung function is presented with absolute lung volumes, the measurements reflect the remaining ventilatory capacity, which may correlate more directly with physical fitness due to the physical demands on lung capacity during exercise.<a class="elsevierStyleCrossRef" href="#bib0425"><span class="elsevierStyleSup">42</span></a> However, when lung function is standardized into <span class="elsevierStyleItalic">Z</span>-scores, these values are adjusted based on a population mean and standard deviation, accounting for variations due to factors like age, sex, and height.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">1</span></a> This standardization can obscure the raw differences seen with absolute values. For example, in a cross-sectional study, males and females, even when matched on relative lung volume (like FEV<span class="elsevierStyleInf">1</span>% predicted), had significantly different absolute lung volumes, with males having a higher volume.<a class="elsevierStyleCrossRef" href="#bib0430"><span class="elsevierStyleSup">43</span></a> This discrepancy can alter perceptions of lung capacity and its relation to physical fitness when using standardized scores. Therefore, the inconsistency in the results could arise from these underlying differences in measurement and interpretation, highlighting the need for future studies to determine which lung function measurement is appropriate to correlate with physical fitness.</p><p id="par0115" class="elsevierStylePara elsevierViewall">Several strengths and limitations of our study warrant discussion. This research is significant for being the first to investigate the relationship between different physical fitness aspects, including CRF and MEF, and their specific impacts on lung function in a cohort of physically active young adults. It provides valuable benchmarks for physical performance and lung function metrics within this group, known for their peak physiological capacities, including optimal lung and cardiovascular efficiency. Our research uniquely focuses on active young adults without chronic lung conditions, offering clearer insights into the fitness and lung function link. However, the cross-sectional, observational design limits our ability to assert causality. Although enhanced lung function may be attributed to factors common to both exercise capacity and pulmonary metrics, the FEV<span class="elsevierStyleInf">1</span> measurement remains positively correlated in the fully adjusted model, underscoring a distinct connection between push-ups and FEV<span class="elsevierStyleInf">1</span>. Furthermore, our results indicate that active smokers demonstrated superior physical fitness performance in activities such as the 3000-m run, 2-min push-ups, and 2-min sit-ups. Nevertheless, it is important to note that our participant group is predominantly young, and detailed quantitative data on cigarette consumption and smoking duration are not available. Consequently, we are unable to conclusively determine the effects of smoking on physical performance. This limitation underscores the need for further research with more comprehensive smoking data to robustly assess the impact of tobacco use on physical fitness. Finally, the participant demographic, primarily Asian males, may not reflect the diversity needed for broader applicability. These points highlight the necessity for future studies with a prospective design, encompassing a wide range of ethnic backgrounds and a balanced gender distribution, to comprehensively understand the causal relationship between MEF and pulmonary function.</p><p id="par0120" class="elsevierStylePara elsevierViewall">In conclusion, this study demonstrated that improved CRF and MEF are positively associated with pulmonary function in active young adults. It notably suggests that push-ups are distinctly associated with increased FEV<span class="elsevierStyleInf">1</span>, highlighting the potential of specific physical activities to influence lung health. Further research is required to determine whether routine exercises like push-ups can consistently enhance lung function among various demographic and health backgrounds.</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Sources of funding</span><p id="par0125" class="elsevierStylePara elsevierViewall">This research was funded by <span class="elsevierStyleGrantSponsor" id="gs1">TSGH</span>, through awards <span class="elsevierStyleGrantNumber" refid="gs1">TSGH-D-113114</span>, and supported by the <span class="elsevierStyleGrantSponsor" id="gs2">Medical Affairs Bureau of the Ministry of National Defense</span>, under awards <span class="elsevierStyleGrantNumber" refid="gs2">MND-MAB-D-113200</span>.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Author's contributions</span><p id="par0130" class="elsevierStylePara elsevierViewall">G.M.L. designed the study. C.H.L. performed the data analysis. C.H.L. and G.M.L. interpreted the results of statistical analysis. C.H.L. wrote the manuscript. G.M.L., Y.C.L., W.C.H., X.S., and C.J.L. revised the manuscript critically for important intellectual contents. All authors contributed to the interpretations of the findings. All authors reviewed the manuscript.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Role of the sponsors</span><p id="par0135" class="elsevierStylePara elsevierViewall">The sponsors and funders of the study had no involvement or any influence in the study design, in the collection, analysis, and interpretation of data, in the writing of the manuscript, and in the decision to submit the manuscript for publication. The corresponding author confirms that he had full access to all the data and had the final responsibility for the decision to submit for publication.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Data sharing statement</span><p id="par0140" class="elsevierStylePara elsevierViewall">The datasets supporting the conclusions of this article will be made available by the authors upon reasonable request, subject to necessary approvals and confidentiality agreements. Specific data that are not publicly available due to privacy or ethical restrictions will be accessible subject to conditions outlined by the corresponding author.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Conflict of interest</span><p id="par0145" class="elsevierStylePara elsevierViewall">No conflicts exist for the authors.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:14 [ 0 => array:3 [ "identificador" => "xres2204097" "titulo" => "Graphical abstract" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abst0005" ] ] ] 1 => array:3 [ "identificador" => "xres2204096" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0010" "titulo" => "Rationale" ] 1 => array:2 [ "identificador" => "abst0015" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0020" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0025" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0030" "titulo" => "Conclusion" ] ] ] 2 => array:2 [ "identificador" => "xpalclavsec1849430" "titulo" => "Keywords" ] 3 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 4 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Study population" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Blood pressure and anthropometric measurements" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "MEF and CRF assessments" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Pulmonary function assessment" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Statistical analyses" ] ] ] 5 => array:2 [ "identificador" => "sec0040" "titulo" => "Results" ] 6 => array:2 [ "identificador" => "sec0045" "titulo" => "Discussion" ] 7 => array:2 [ "identificador" => "sec0050" "titulo" => "Sources of funding" ] 8 => array:2 [ "identificador" => "sec0055" "titulo" => "Author's contributions" ] 9 => array:2 [ "identificador" => "sec0060" "titulo" => "Role of the sponsors" ] 10 => array:2 [ "identificador" => "sec0065" "titulo" => "Data sharing statement" ] 11 => array:2 [ "identificador" => "sec0070" "titulo" => "Conflict of interest" ] 12 => array:2 [ "identificador" => "xack759759" "titulo" => "Acknowledgements" ] 13 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2024-02-19" "fechaAceptado" => "2024-06-12" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1849430" "palabras" => array:5 [ 0 => "Cardiorespiratory fitness" 1 => "Muscular endurance fitness" 2 => "Lung function" 3 => "FEV<span class="elsevierStyleInf">1</span>" 4 => "FVC" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Rationale</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">While the beneficial effects of physical fitness on general health are well-documented, the specific relationship between different types of physical fitness, particularly cardiorespiratory fitness (CRF) and muscular endurance fitness (MEF), and lung function in physically active young adults remains less explored.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Objective</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">This study investigated the relationship between CRF and MEF, and their correlation with lung function in physically active young adults.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Methods</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">This cross-sectional study involved a cohort of 1227 physically active young adults without lung diseases. Lung function was assessed using FEV<span class="elsevierStyleInf">1</span>, FVC, and FEV<span class="elsevierStyleInf">1</span>/FVC measurements. The 3000-m run was used to assess CRF, and the 2-min push-up and sit-up tests were used to assess MEF. Multivariable linear regression analysis was used to evaluate the relationships between these fitness measures and lung function, adjusting for potential covariates.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Results</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Enhanced CRF was associated with superior FEV<span class="elsevierStyleInf">1</span> and FVC after adjusting for covariates (<span class="elsevierStyleItalic">β</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−.078, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.015 for FEV<span class="elsevierStyleInf">1</span>; <span class="elsevierStyleItalic">β</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−.086, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.009 for FVC). Push-ups were positively associated with FEV<span class="elsevierStyleInf">1</span> (<span class="elsevierStyleItalic">β</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.102, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.014), but not with FVC. In contrast, sit-ups showed no significant correlation with lung function in the fully adjusted model.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Conclusion</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">The study demonstrated a clear association between improved physical fitness and better lung function in physically active young adults, with various exercises showing distinct associations with lung metrics. Notably, push-ups were particularly associated with higher FEV<span class="elsevierStyleInf">1</span>. A future prospective study is necessary to determine whether routine exercises, such as push-ups, might lead to greater lung function.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0010" "titulo" => "Rationale" ] 1 => array:2 [ "identificador" => "abst0015" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0020" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0025" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0030" "titulo" => "Conclusion" ] ] ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "<p id="par0160" class="elsevierStylePara elsevierViewall">The followings are the supplementary data to this article:<elsevierMultimedia ident="upi0005"></elsevierMultimedia></p>" "etiqueta" => "Appendix A" "titulo" => "Supplementary data" "identificador" => "sec0080" ] ] ] ] "multimedia" => array:7 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1947 "Ancho" => 2753 "Tamanyo" => 320067 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">The flow diagram of participant selection and evaluation process for the CHIEF Lung Study.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 2399 "Ancho" => 2343 "Tamanyo" => 361281 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Scatter plots representing relationships between lung function metrics and physical tests: (A–C) Correlations of FEV<span class="elsevierStyleInf">1</span>, FVC, and FEV<span class="elsevierStyleInf">1</span>/FVC with 3000-m run time. (D–F) FEV<span class="elsevierStyleInf">1</span>, FVC, and FEV<span class="elsevierStyleInf">1</span>/FVC with 2-min push-up count. (G–I) FEV<span class="elsevierStyleInf">1</span> and FVC with 2-min sit-ups. The correlation coefficient (<span class="elsevierStyleItalic">r</span>) and <span class="elsevierStyleItalic">p</span>-value for each relationship are indicated above each plot. FEV<span class="elsevierStyleInf">1</span>, forced expiratory volume in 1<span class="elsevierStyleHsp" style=""></span>s; FVC, forced vital capacity; s, seconds. Time is represented in seconds (s).</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 751 "Ancho" => 2334 "Tamanyo" => 111979 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Scatter plots illustrating relationships: (A) 3000-m run time vs. 2-min push-ups, (B) 3000-m run time vs. 2-min sit-ups, and (C) 2-min push-ups vs. 2-min sit-ups. The correlation coefficient (<span class="elsevierStyleItalic">r</span>) and <span class="elsevierStyleItalic">p</span>-value for each relationship are indicated above each plot. Time is represented in seconds (s).</p>" ] ] 3 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">FEV<span class="elsevierStyleInf">1</span>, forced expiratory volume in 1<span class="elsevierStyleHsp" style=""></span>s; FVC, forced vital capacity.</p><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Data are presented as number (percent) for smoking, alcohol, and betel nut. Physical function measurements were presented as median (interquartile range). For all other variables, means<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD are reported.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Characteristics \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total population (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1227) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Male (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1082) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Female (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>145) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Age, years</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.011 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Height (cm)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">170.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">172.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">160.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Weight (kg)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">71.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">59.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Body mass index (kg/m</span><span class="elsevierStyleSup"><span class="elsevierStyleBold">2</span></span><span class="elsevierStyleBold">)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Waist (cm)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">74.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Mean arterial pressure (mmHg)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">85.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">86.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">81.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Smoking</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Active smoker</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">464 (38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">437 (40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27 (19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Former smoker</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">57 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.1192 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Never smoker</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">600 (49) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">497 (46) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">103 (71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Alcohol</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">426 (35) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">407 (38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Betel nut</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">145 (12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">144 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Physical function measurements</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">3000-m run (s)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">878 (840–959) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">870 (834–930) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1027 (985–1084) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">2-min push-ups numbers</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">45 (40–50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">45 (40–50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (21–33) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">2-min sit-ups numbers</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">45 (40–50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">45 (40–50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35 (30–40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Lung function measurements</span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">FEV</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">1</span></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Actual (L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>% predicted \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.926 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Z</span>-score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.69<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.68<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.74<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.494 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">FVC</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Actual (L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>% predicted \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">93.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">93.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.587 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Z</span>-score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.55<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.55<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.54<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.844 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">FEV</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">1</span></span><span class="elsevierStyleItalic">/FVC %</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Actual (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">84.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">84.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">85.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.205 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>% predicted \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">86.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">86.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">86.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.254 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Z</span>-score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.25<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.38<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.171 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3596955.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Clinical characteristics of study population.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Multivariable linear regression analysis was used to determine the associations between physical performance and lung functions, with the following adjustments, including exposures (different types of physical performance) and confounders. Model 1: age, gender, height, weight, waist, mean blood pressure, smoking; Model 2: age, gender, height, weight, waist, mean blood pressure, smoking, 3000<span class="elsevierStyleHsp" style=""></span>m-run time, and 2-min push-up numbers; Model 3: age, gender, height, weight, waist, mean blood pressure, smoking, 3000<span class="elsevierStyleHsp" style=""></span>m-run time, and 2-min sit-up numbers; Model 4: age, gender, height, weight, waist, mean blood pressure, smoking, 3000<span class="elsevierStyleHsp" style=""></span>m-run time, and 2-min push-up numbers, 2-min sit-up numbers; <span class="elsevierStyleItalic">β</span> denotes standardized <span class="elsevierStyleItalic">β</span> coefficient.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Model 1</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Model 2</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Model 3</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Model 4</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">FEV<span class="elsevierStyleInf">1</span></th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">FVC</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">FEV<span class="elsevierStyleInf">1</span></th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">FVC</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">FEV<span class="elsevierStyleInf">1</span></th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">FVC</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">FEV<span class="elsevierStyleInf">1</span></th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">FVC</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">β</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">β</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">β</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">β</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">β</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">β</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">β</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">β</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Time for a 3000-m run (s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.102 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001<a class="elsevierStyleCrossRef" href="#tblfn0010">**</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.117 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001<a class="elsevierStyleCrossRef" href="#tblfn0010">**</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.071 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.026<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.087 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.008<a class="elsevierStyleCrossRef" href="#tblfn0010">**</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.089 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.004<a class="elsevierStyleCrossRef" href="#tblfn0010">**</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.093 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.003<a class="elsevierStyleCrossRef" href="#tblfn0010">**</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.078 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.015<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.086 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.009<a class="elsevierStyleCrossRef" href="#tblfn0010">**</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2-min push-ups numbers \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.093 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.002<a class="elsevierStyleCrossRef" href="#tblfn0010">**</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.096 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.002<a class="elsevierStyleCrossRef" href="#tblfn0010">**</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.067 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.043<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.056 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.096 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.102 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.014<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.066 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.122 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2-min sit-ups numbers \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.034 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.244 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.063 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.034<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.009 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.775 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.033 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.289 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.056 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.158 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−.190 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.849 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3596954.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0005"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.05.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "**" "nota" => "<p class="elsevierStyleNotepara" id="npar0010"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.01.</p> <p class="elsevierStyleNotepara" id="npar0015"><span class="elsevierStyleItalic">Abbreviations</span>: FEV<span class="elsevierStyleInf">1</span>, forced expiratory volume in 1<span class="elsevierStyleHsp" style=""></span>second; FVC, forced vital capacity; L, liter; s, second.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Multivariable linear regression analysis for the correlations of various physical fitness modalities with pulmonary functions.</p>" ] ] 5 => array:5 [ "identificador" => "upi0005" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => false "mostrarDisplay" => true "Ecomponente" => array:2 [ "fichero" => "mmc1.pdf" "ficheroTamanyo" => 948746 ] ] 6 => array:5 [ "identificador" => "fig0020" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => false "mostrarDisplay" => true "figura" => array:1 [ 0 => array:4 [ "imagen" => "fx1.jpeg" "Alto" => 749 "Ancho" => 1333 "Tamanyo" => 116508 ] ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:43 [ 0 => array:3 [ "identificador" => "bib0220" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "P.H. 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Special thanks to TSGH and Ministry of National Defense R.O.C. for their financial support.</p>" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/03002896/unassign/S0300289624002254/v1_202407160437/en/main.assets" "Apartado" => null "PDF" => "https://static.elsevier.es/multimedia/03002896/unassign/S0300289624002254/v1_202407160437/en/main.pdf?idApp=UINPBA00003Z&text.app=https://archbronconeumol.org/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0300289624002254?idApp=UINPBA00003Z" ]
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