Literature DB >> 9651634

Factors associated with smoking among children and adolescents in Connecticut.

P F Coogan1, M Adams, A C Geller, D Brooks, D R Miller, R A Lew, H K Koh.   

Abstract

INTRODUCTION: The age of smoking initiation has dropped over the past four decades. Since behaviors and attitudes adopted in late childhood or early adolescence predict future smoking, it is important to understand the smoking and other risk-taking behaviors and attitudes of children aged 12 and younger. The goal of the analyses presented here was to describe behavioral and attitudinal factors associated with smoking among elementary school (grades 4-6), middle school (grade 7-8), and high school (grades 9-12) students in Connecticut.
METHODS: We have used data from 8 years (1988-1996) of an anonymous, self-administered health risk appraisal survey given to children and adolescents in self-selected public and private schools. We compared the proportion of smokers and nonsmokers who reported various behaviors and attitudes and compared them with the chi-square test.
RESULTS: Fifteen percent (n = 4,884) of the total population (n = 31, 861) were current smokers. At all grade levels, current smokers were more likely than nonsmokers to engage in risk-taking behaviors, and to report more stress and depression. Indicators of risk-taking and stress were also associated with the intent to smoke among children in grades 4-6.
CONCLUSIONS: Smoking occurs within the context of other risk-taking behavior and psychological distress, among both children and older adolescents. Our data provide support for the idea of early identification and targeting of children at high risk of smoking in elementary school, possibly as early as grade four.

Entities:  

Mesh:

Year:  1998        PMID: 9651634     DOI: 10.1016/s0749-3797(98)00022-1

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  9 in total

1.  Personal, interpersonal, and cultural predictors of stages of cigarette smoking among adolescents in Johannesburg, South Africa.

Authors:  J S Brook; N K Morojele; D W Brook; C Zhang; M Whiteman
Journal:  Tob Control       Date:  2006-06       Impact factor: 7.552

2.  Association between psychological factors and adolescent smoking in seven cities in China.

Authors:  Jie Wu Weiss; Paula H Palmer; Chih-Ping Chou; Michele Mouttapa; C Anderson Johnson
Journal:  Int J Behav Med       Date:  2008

3.  A comparison of tobacco-related risk factors between preadolescents with and without cancer.

Authors:  Vida L Tyc; James L Klosky; Shelly Lensing; Leslee Throckmorton-Belzer; Shesh N Rai
Journal:  J Cancer Surviv       Date:  2009-10-29       Impact factor: 4.442

4.  Gender, smoking status, and risk behavior attitudes explain adolescents' patterns of nicotine replacement therapy use.

Authors:  William T Dalton; Lisa M Klesges; Laura Henderson; Grant Somes; Leslie Robinson; Karen C Johnson
Journal:  Addict Behav       Date:  2009-09-26       Impact factor: 3.913

5.  Clustering of smoking, alcohol drinking and cannabis use in adolescents in a rapidly developing country.

Authors:  David Faeh; Bharathi Viswanathan; Arnaud Chiolero; Wick Warren; Pascal Bovet
Journal:  BMC Public Health       Date:  2006-06-27       Impact factor: 3.295

6.  Considerations related to vaping as a possible gateway into cigarette smoking: an analytical review.

Authors:  Peter N Lee; Katharine J Coombs; Esther F Afolalu
Journal:  F1000Res       Date:  2018-12-10

7.  Prevalence of smoking and chronic obstructive pulmonary disease amongst teachers working in Kocaeli, Turkey.

Authors:  Serap A Barış; Füsun Yıldız; Ilknur Başyiğit; Haşim Boyacı; Ahmet Ilgazlı
Journal:  Multidiscip Respir Med       Date:  2011-04-30

8.  Cardiovascular risk behavior among sedentary female smokers and smoking cessation outcomes.

Authors:  Tellervo Korhonen; Taru Kinnunen; Zandra Quiles; Robert F Leeman; Donna Medaglia Terwal; Arthur J Garvey
Journal:  Tob Induc Dis       Date:  2005-12-15       Impact factor: 2.600

9.  Cigarette smoking among adolescents in Northwest Ohio: correlates of prevalence and age at onset.

Authors:  Sadik A Khuder; James H Price; Timothy Jordan; Saja S Khuder; Kathi Silvestri
Journal:  Int J Environ Res Public Health       Date:  2008-12       Impact factor: 3.390

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.