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김종연; 박순우

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저자정보: 김종연 박순우

저널정보: 대한예방의학회 예방의학회지 예방의학회지 제42권 제1호

발행연도: 2009.1

수록면: 59 - 66 (8page)

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Objectives : This study was performed using a longitudinal approach to explore the predictors for current smoking among male high school students. Methods : Baseline data was collected in May 2004 through a self-administrated questionnaire completed by 607 male students in a technical high school in Daegu city, Korea. Subsequently, their smoking behaviors were followed one year after. Among the 544 followed participants, data for 439 non-smokers in the first year was used in longitudinal analysis. Current smokers were defined as those respondents who had smoked one or more cigarettes within the 30 days preceding the survey. Several potential predictors for smoking were investigated including smoking history (never, experimental, former smoker), sociodemographic factors, environmental factors, attitudes toward smoking, and behavioral factors. Logistic regression was used to predict smoking with SPSS ver. 12.0. Results : According to multiple logistic regression analysis, those students who were more likely to smoke after one year were former smokers (OR: 2.12, 95% CI=1.01-4.44), current drinkers (OR: 2.55, 95% CI=1.33- 4.89), who had four or five smokers among five best friends (OR: 3.43. 95% CI=1.14-10.30). In addition, those who had smokers among family members besides parents or siblings (OR: 1.66, 95% CI=0.92-2.98), exhibited a high level of subjective stress (OR: 1.77, 95% CI=0.96-3.26), or had a very good relationship with friends (OR: 1.93, 95% CI=0.99-3.75) were also more likely to smoke albeit with marginal statistical significance (p<0.1). Conclusions : A smoking prevention program aimed at high school students may be more effective with due consideration of the predictors highlighted in this study. However, further studies with larger sample size and various target populations are necessary to find potential predictors not found in this study but suggested in other longitudinal studies.

Objectives : This study was performed using a longitudinal approach to explore the predictors for current smoking among male high school students. Methods : Baseline data was collected in May 2004 through a self-administrated questionnaire completed by 607 male students in a technical high school in Daegu city, Korea. Subsequently, their smoking behaviors were followed one year after. Among the 544 followed participants, data for 439 non-smokers in the first year was used in longitudinal analysis. Current smokers were defined as those respondents who had smoked one or more cigarettes within the 30 days preceding the survey. Several potential predictors for smoking were investigated including smoking history (never, experimental, former smoker), sociodemographic factors, environmental factors, attitudes toward smoking, and behavioral factors. Logistic regression was used to predict smoking with SPSS ver. 12.0. Results : According to multiple logistic regression analysis, those students who were more likely to smoke after one year were former smokers (OR: 2.12, 95% CI=1.01-4.44), current drinkers (OR: 2.55, 95% CI=1.33- 4.89), who had four or five smokers among five best friends (OR: 3.43. 95% CI=1.14-10.30). In addition, those who had smokers among family members besides parents or siblings (OR: 1.66, 95% CI=0.92-2.98), exhibited a high level of subjective stress (OR: 1.77, 95% CI=0.96-3.26), or had a very good relationship with friends (OR: 1.93, 95% CI=0.99-3.75) were also more likely to smoke albeit with marginal statistical significance (p<0.1). Conclusions : A smoking prevention program aimed at high school students may be more effective with due consideration of the predictors highlighted in this study. However, further studies with larger sample size and various target populations are necessary to find potential predictors not found in this study but suggested in other longitudinal studies.

#Smoking #Adolescent #Prospective study

참고문헌 (24)

참고문헌 신청

Ary DV / 1988 / Longitudinal changes in adolescent cigarette smoking behavior: Onset and cessation / J Behav Med 11 (4) : 361 ~ 382

Association of Smoking & Health / / Database for youth smoking status in Korea, 1988-2008

Avenevoli S / 2003 / Familial influences on adolescent smoking / Addiction 98 (1) : 1 ~ 20

Breslau N / 1996 / Smoking cessation in young adults: Age at initiation of cigarette smoking and other suspected influences / Am J Public Health 86 (2) : 214 ~ 220

Conrad KM / 1992 / Why children start smoking cigarettes: Predictors of onset / Br J Addict 87 (12) : 1711 ~ 1724

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