Literature DB >> 11072406

Psychosocial risk and protective factors for adolescent tobacco use.

B R Flay1, J Petraitis, F B Hu.   

Abstract

Knowledge of risk and protective factors for adolescent tobacco use will lead to the development of improved intervention strategies to reduce/prevent tobacco use. Theory and empirical findings demonstrate the multivariate complexity of the etiology of tobacco use. Sociocultural, social/interpersonal, and intrapersonal factors act through mediated chains of ultimate, distal, and proximal influences. Some influences moderate the effects of others. Once tobacco is used, feedback mechanisms modify prior causes that in turn alter subsequent tobacco use behavior. Most theories and cross-sectional, prospective, and causal process studies have contained major limitations: (a) most addressed only small portions of the total picture; (b) most mediational studies did not test for interactions and most moderation studies are based on limited theory (if any); and (c) most theories do not discuss how the causal processes might be different for males and females or for different ethnic groups (special cases of moderation). Furthermore, few studies focused on more distal or ultimate influences or examined multi-stream patterns, and few theories or causal process studies have specified or tested feedback loops. Determining psychosocial risk factors and how they influence tobacco use faces several major challenges, including discovering complex mediating processes, moderating variables, and overcoming limitations of surveys and theory. We offer six recommendations to advance transdisciplinary tobacco-prevention research: (a) base future studies on strong theory and aim to test one or more theories or theoretically derived hypotheses; (b) collect four or more waves of data and adopt dynamic strategies of prediction and analysis, including interactions, indirect effects, feedback loops, and transitions from one level of tobacco use to another; (c) provide evidence of generalizability to sub-populations within the study sample, such as by gender, ethnic group, and socioeconomic status; (d) use high-quality measures and multiple methodologies, including non-panel longitudinal studies, intensive interview, ethnography, experimental intervention, and small exploratory studies as well as further prospective studies; (e) include variables from multiple streams of influence to investigate interrelationships among cultural, social, and intrapersonal factors; and (f) collect data from multiple nested units (e.g., children within families, within schools, within neighborhoods) and employ multi-level analysis methods to investigate interrelationships among ultimate, distal, and proximal variables.

Entities:  

Mesh:

Year:  1999        PMID: 11072406     DOI: 10.1080/14622299050011611

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  33 in total

1.  A social contextual analysis of youth cigarette smoking development.

Authors:  Susan T Ennett; Vangie A Foshee; Karl E Bauman; Andrea Hussong; Robert Faris; John R Hipp; Li Cai
Journal:  Nicotine Tob Res       Date:  2010-08-05       Impact factor: 4.244

2.  A multi-level analysis examining how smoking friends, parents, and older students in the school environment are risk factors for susceptibility to smoking among non-smoking elementary school youth.

Authors:  Scott T Leatherdale; Paul W McDonald; Roy Cameron; Mari Alice Jolin; K Stephen Brown
Journal:  Prev Sci       Date:  2006-12

3.  The meanings and context of smoking among Mexican university students.

Authors:  James F Thrasher; Mararet E Bentley
Journal:  Public Health Rep       Date:  2006 Sep-Oct       Impact factor: 2.792

4.  Cigarette smoking and the lifetime alcohol involvement continuum.

Authors:  Christopher W Kahler; David R Strong; George D Papandonatos; Suzanne M Colby; Melissa A Clark; Julie Boergers; Raymond Niaura; David B Abrams; Stephen L Buka
Journal:  Drug Alcohol Depend       Date:  2007-10-25       Impact factor: 4.492

5.  Smoking susceptibility among never-smokers: data from the 2006-07 National Youth Smoking Survey.

Authors:  Wiworn Sae Yang; Scott T Leatherdale; Rashid Ahmed
Journal:  Can J Public Health       Date:  2011 Jul-Aug

6.  Multiple Levels of Influence That Impact Youth Tobacco Use.

Authors:  Patricia A Cavazos-Rehg; Melissa J Krauss; Shaina J Sowles; Edward L Spitznagel; Richard Grucza; Frank J Chaloupka; Laura J Bierut
Journal:  Tob Regul Sci       Date:  2016-04

7.  Nondaily smoking patterns in young adulthood.

Authors:  Elizabeth G Klein; Debra H Bernat; Kathleen M Lenk; Jean L Forster
Journal:  Addict Behav       Date:  2013-03-20       Impact factor: 3.913

8.  School smoking policy characteristics and individual perceptions of the school tobacco context: are they linked to students' smoking status?

Authors:  Catherine M Sabiston; Chris Y Lovato; Rashid Ahmed; Allison W Pullman; Valerie Hadd; H Sharon Campbell; Candace Nykiforuk; K Stephen Brown
Journal:  J Youth Adolesc       Date:  2009-06-07

9.  Social-ecological influences on patterns of substance use among non-metropolitan high school students.

Authors:  Christian M Connell; Tamika D Gilreath; Will M Aklin; Robert A Brex
Journal:  Am J Community Psychol       Date:  2010-03

10.  Time-Varying Risk Factors and Sexual Aggression Perpetration Among Male College Students.

Authors:  Martie P Thompson; Jeffrey Brooks Kingree; Heidi Zinzow; Kevin Swartout
Journal:  J Adolesc Health       Date:  2015-12       Impact factor: 5.012

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.