The Incidence of Experimental Smoking in School Children: An 8-Year Follow -up of the Child and Adolescent Behaviors in Long-Term Evolution (Cable) Study
Resource
BMC PUBLIC HEALTH v.11 pp.ARTN844
Journal
BMC Public Health
Pages
844
Date Issued
2011
Date
2011
Author(s)
Chang, Hsing-Yi
Wu, Wen-Chi
Wu, Chi-Chen
Cheng, Jennifer Y
Hurng, Baai-Shyun
Yen, Lee-Lan
Abstract
Background: Studies have established that most regular adult smokers become addicted in their adolescent years. We investigated the incidence of and risk factors associated with initial experimental smoking among a group of school children who were followed for 8 years. Methods: We used cohort data collected as part of the Child and Adolescent Behaviors in Long-term Evolution (CABLE) study, which selected nine elementary schools each from an urban area ( Taipei City) and a rural area (Hsingchu county) in northern Taiwan. From 2002 to 2008, children were asked annually whether they had smoked in the previous year. An accelerated lifetime model with Weibull distribution was used to examine the factors associated with experimental smoking. Results: In 2001, 2686 4(th)-graders participated in the study. For each year from 2002 to 2008, their incidences of trial smoking were 3.1%, 4.0%, 2.8%, 6.0%, 5.3%, 5.0% and 6. 0%, respectively. There was an increase from 7(th) to 8(th) grade (6.0%). Children who were males, lived in rural areas , came from single-parent families, had parents who smoked, and had peers who smoked were more likely to try smoking earlier. The influence of parents and peers on experimental smoking demonstrated gradient effects. Conclusions: This study used a cohort to examine incidence and multiple influences, including individual factors, familial factors, and community factors, on experimental smoking in adolescents. The findings fit the social ecological model, highlighting the influences of family and friends. School and community attachment were associated with experimental smoking in teenagers.
Subjects
cigarette smoking
adolescent behavior
epidemiological factors
socioeconomic factors
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