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Vol. 40. Issue 11.
Pages 495-501 (November 2004)
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Vol. 40. Issue 11.
Pages 495-501 (November 2004)
Original Articles
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Factors Associated With Smoking Onset: 3-Year Cohort Study of Schoolchildren
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M. Nebot
Corresponding author
mnebot@imsb.bcn.es

Correspondence: Dr. M. Nebot. Servicio de Promoción de la Salud. Instituto de Medicina y Salud. Agencia de Salud Pública de Barcelona. Pza. Lesseps, 1. 08023 Barcelona. España
, Z. Tomás, C. Ariza, S. Valmayor, M.J. López, O. Juárez
Agencia de Salud Pública de Barcelona, Barcelona, Spain
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Objective

To analyze the predictors of smoking onset among schoolchildren.

Methods

A cohort study of 1056 children starting in first year secondary school at 44 schools in Barcelona was carried out. Participating children were invited to answer a lifestyle questionnaire every year for 4 years. Each questionnaire carried a personal code to allow the 4 questionnaires to be matched. Matching questionnaires were found for 729 children, 70% of the initial sample.

Results

Over the study period, the prevalence of regular smokers increased from 1.7% to 22% among boys and from 1.6% to 38.2% among girls. The predictors of smoking onset among boys were scoring high on the pro-smoking attitudes index (odds ratio [OR]=1.2; 95% confidence interval [CI], 1.1-1.3), intention to smoke in the future (OR=2.2; 95% CI, 1.0-4.9), low self-efficacy in resisting pressures to smoke (OR=0.98; 95% CI, 0.96-0.99), having siblings that smoke (OR=2.5; 95% CI, 1.2-5.4), and spending some free time in bars (OR=2.4; CI, 1.1-4.9). Among girls, the predictors were having low self-esteem (OR=0.94; 95% CI, 0.88-0.99), scoring low on the anti-tobacco attitudes index (OR=0.92; 95% CI, 0.88-0.97), having siblings who smoke (OR=2.5; 95% CI, 1.2-5.5), spending some free time in discotheques (OR=4.5; 95% CI, 1.9-11.8), and living in high socioeconomic-status neighborhoods (OR=3.1; 95% CI, 1.4-10.9).

Conclusions

The results show the importance of cognitive variables as well as a variety of environmental variables, particularly the pattern of free time use and the influence of sibling models. Prevention programs must take into account smoking onset risk factors as a whole.

Key Words:
Smoking onset
Longitudinal study
Schoolchildren
Objetivo

El objetivo del estudio es analizar los factores pre-dictivos del inicio del consumo de tabaco entre los escolares.

Métodos

Se ha realizado un estudio longitudinal de seguimiento de 1.056 escolares de primer curso de Educación Secundaria Obligatoria de 44 escuelas de Barcelona. Durante los 4 años del estudio, se invitó a todos los escolares de la cohorte a responder cada año a un cuestionario sobre estilo de vida. A través de un código personal, al final del estudio se pudieron aparear los 4 cuestionarios de 729 escolares, un 70% de la muestra inicial.

Resultados

En el período estudiado la prevalencia de fumadores regulares pasó del 1,7 al 22% entre los chicos, y del 1,6 al 38,2% entre las chicas. Los factores predictivos del inicio del consumo fueron en los chicos tener una puntuación elevada en la escala de actitudes pro tabaco (odds ratio [OR] = 1,2; intervalo de confianza [IC] del 95%, 1,1-1,3), la intención de fumar en el futuro (OR = 2,2; IC del 95%, 1,0-4,9), una baja autoeficacia para resistir presiones hacia el consumo (OR = 0,98; IC del 95%, 0,96-0,99), el consumo de tabaco de los hermanos (OR = 2,5; IC del 95%, 1,2-5,4) y pasar parte del tiempo libre en bares (OR = 2,4; 1,1-4,9). Para las chicas las variables predictoras fueron tener una baja autoestima (OR = 0,94; IC del 95%, 0,88-0,99), tener una baja puntuación en la escala de actitudes contra el tabaco (OR = 0,92; IC del 95%, 0,88-0,97), el tabaquismo de los hermanos (OR = 2,5; IC del 95%, 1,2-5,5), pasar parte del tiempo libre en discotecas (OR = 4,5; IC del 95%, 1,9-11,8) y vivir en barrios de nivel so-cioeconómico elevado (OR = 3,1; IC del 95%, 1,4-10,9).

Conclusiones

Los resultados señalan la importancia de las variables cognitivas, así como una diversidad de variables del entorno, entre las que destaca el patrón de tiempo libre y la influencia de modelos de los hermanos. Los programas preventivos deberían tener en cuenta el conjunto de factores de riesgo para el inicio del tabaquismo desde una perspectiva global.

Palabras clave:
Inicio del tabaquismo
Estudio longitudinal
Escolares
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REFERENCES
[1]
C Ariza, M Nebot, JR Villalbí, E Díez, Z Tomás, S Valmayor.
Tendencias en el consumo de tabaco, alcohol y cannabis de los escolares de Barcelona (1987-1999).
Gac Sanit, 17 (2003), pp. 190-195
[2]
A King, B Wold, C Tudor-Smith, Y Harel.
The health of youth. A cross-national survey, World Health Organization, (1996),
[3]
JC Surís, N Parera.
Enquesta de salut als adolescents escolaritzats de la ciutat de Barcelona, 1999, Fundació Santiago Dexeus Font, (2000),
[4]
C Ariza, M Nebot.
Factores asociados al consumo de tabaco en una muestra de escolares de enseñanza primaria y secundaria.
Gac Sanit, 9 (1995), pp. 101-109
[5]
E Díez, JR Villalbí, M Nebot, J Aubà, F Sanz.
El inicio del consumo de tabaco en escolares: estudio transversal y longitudinal de los factores predictivos.
Med Clin (Barc), 110 (1998), pp. 334-339
[6]
Anónimo.
Trends in cigarette smoking among high school students - United States, 1991-2001.
MMWR Morb Mortal Wkly Rep, 51 (2002), pp. 409-412
[7]
EA Gilpin, JP Pierce.
Trends in adolescent smoking initiation in the United States: is tobacco marketing an influence?.
Tob Control, 6 (1997), pp. 122-127
[8]
Ministerio de Sanidad y Consumo.
ecretaría General Técnica. Encuesta Nacional de Salud 1997.
[9]
Ministerio del Interior.
Observatorio Español sobre drogas.
[10]
KM Conrad, BR Flay, D Hill.
Why children start smoking cigarettes: predictors of onset.
Br J Addict, 87 (1992), pp. 1711-1724
[11]
C Jackson, L Henriksen, D Dickinson, L Mecer, SB Robertson.
A longitudinal study predicting patterns of cigarette smoking in late childhood.
Health Educ Behav, 25 (1998), pp. 436-447
[12]
GJ Botvin, EM Botvin, E Baker, L Dusenbury, CJ Goldberg.
The false consensus effect: predicting adolescents' tobacco use from normative expectations.
Psychol Rep, 70 (1992), pp. 171-178
[13]
GR Najem, F Batuman, AM Smith, M Feuerman.
Patterns of smoking among inner-city teenagers: smoking has a pediatric age of onset.
J Adolesc Health, 20 (1997), pp. 226-231
[14]
H de Vries, E Backvier, G Kok, M Dijkstra.
The impact of social influences in the context of attitude, self-efficacy, intention and previous behaviour as predictors of smoking onset.
J Appl Soc Psychol, 25 (1995), pp. 237-257
[15]
M Nebot.
Las encuestas de salud en el ámbito escolar: entre el rigor y la oportunidad.
Gac Sanit, 12 (1998), pp. 239-240
[16]
C Ariza, M Nebot.
Factors associated with smoking progression among Spanish adolescents.
Health Educ Res, 17 (2002), pp. 750-760
[17]
C Ariza, M Nebot, M Jané, Z Tomás, H de Vries.
El proyecto ESFA en Barcelona: un programa comunitario de prevención del tabaquismo en jóvenes.
Prev Tab, 3 (2001), pp. 70-77
[18]
A Ventura, C Càrcel, RM Canals, R García, C Pujol, P Tomás.
Índex de capacitat econòmica familiar II, Gabinet de Programació. Publicacions de l'Ajuntament de Barcelona, (1999),
[19]
H de Vries, M Dijkstra, P Kuhlman.
Self-efficacy: the third factor besides attitude and subjective norms as a predictor of behavioral intentions.
Health Educ Res, 3 (1998), pp. 273-282
[20]
UE Pallonen, JO Prochaska, WF Vellicer, AV Prokhorov, NF Smith.
Stages of acquisition and cessation for adolescent smoking: an empirical integration.
Addict Behav, 23 (1998), pp. 303-324
[21]
AV Swan, RJW Melia, B Fitzsimmons, E Breeze, M Murray.
Why do more girls than boys smoke cigarettes?.
Health Education Journal, 48 (1989), pp. 59-64
[22]
WR Stanton, PA Silva.
School achievement as an independent predictor of smoking in childhood and early adolescence.
Health Education Journal, 50 (1991), pp. 84-88
[23]
C Borrell, M Nebot, M Ballestín, JR Villalbí.
Prevalencia y características asociadas al consumo de tabaco en población general en Barcelona entre 1983 y 1992.
Rev Clin Esp, 196 (1996), pp. 359-364
[24]
A Schiaffino, E Fernández, C Borrell, E Saltó, M García, JM Borràs.
Gender and educational differences in smoking initiation rates in Spain from 1948 to 1992.
Eur J Pub Health, 13 (2003), pp. 56-60
[25]
A Charlton, D While.
Smoking and menstrual problems in 16-year-olds.
R Soc Med, 89 (1996), pp. 193-195
[26]
E Stice, H Shaw.
Prospective relations of body image, eating, and affective disturbances to smoking onset in adolescent girls: how Virginia slims.
Consult Clin Psychol, 71 (2003), pp. 129-135
[27]
SC Carvajal, DE Wiatrek, RI Evans, CR Knee, SG Nash.
Psychosocial determinants of the onset and escalation of smoking: cross-sectional and prospective findings in multiethnic middle school samples.
Adolesc Health, 27 (2000), pp. 255-265

Study partly subsidized by a grant from the Fondo de Investigaciones Sanitarias (99/748).

Copyright © 2004. Sociedad Española de Neumología y Cirugía Torácica (SEPAR)
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