INTRODUCTION: Extant twin research on the depression-smoking association in adolescents has been conducted in U.S. and European samples and considered depression as a unitary phenotype. This study explored genetic and environmental influences on covariation between smoking initiation and 4 depressive symptom dimensions (positive affect [PA], negative affect [NA], somatic features [SF], and interpersonal problems [IP]) in adolescent Chinese twins. METHODS: Questionnaires measuring current depressive symptoms and lifetime smoking initiation were administered to 602 twin pairs (M [SD] age = 12.2 (1.93) years, range 9-16 years). Cholesky bivariate decomposition models examined influences on each depressive symptom dimension, smoking initiation, and their covariation using age- and sex-adjusted threshold variables. RESULTS: Within-twin correlations between smoking initiation and each depressive symptom dimension were significant (|r|s = .29-.61). Bivariate twin modeling showed significant genetic effects on overall depressive symptoms (55% variance), shared environment effects on NA (36%) and PA (53%), and shared environment effects on smoking initiation (46%) unique from PA. No other familial influences on the individual phenotypes (apart from those accounting for smoking-depression covariance) were significant. Relations of smoking initiation to overall depressive symptoms and IP were influenced by familial (shared environment and/or genetic) factors and nonshared environmental factors. The SF-smoking initiation relation was influenced mostly by familial factors. Only shared environment significantly influenced the association of lower PA and higher NA to smoking initiation. CONCLUSIONS: Relations between each symptom dimension and smoking initiation are of sizeable magnitude in Chinese adolescents. Genetic and environmental factors underlying depression-smoking comorbidity may vary across different depressive symptom dimensions.
INTRODUCTION: Extant twin research on the depression-smoking association in adolescents has been conducted in U.S. and European samples and considered depression as a unitary phenotype. This study explored genetic and environmental influences on covariation between smoking initiation and 4 depressive symptom dimensions (positive affect [PA], negative affect [NA], somatic features [SF], and interpersonal problems [IP]) in adolescent Chinese twins. METHODS: Questionnaires measuring current depressive symptoms and lifetime smoking initiation were administered to 602 twin pairs (M [SD] age = 12.2 (1.93) years, range 9-16 years). Cholesky bivariate decomposition models examined influences on each depressive symptom dimension, smoking initiation, and their covariation using age- and sex-adjusted threshold variables. RESULTS: Within-twin correlations between smoking initiation and each depressive symptom dimension were significant (|r|s = .29-.61). Bivariate twin modeling showed significant genetic effects on overall depressive symptoms (55% variance), shared environment effects on NA (36%) and PA (53%), and shared environment effects on smoking initiation (46%) unique from PA. No other familial influences on the individual phenotypes (apart from those accounting for smoking-depression covariance) were significant. Relations of smoking initiation to overall depressive symptoms and IP were influenced by familial (shared environment and/or genetic) factors and nonshared environmental factors. The SF-smoking initiation relation was influenced mostly by familial factors. Only shared environment significantly influenced the association of lower PA and higher NA to smoking initiation. CONCLUSIONS: Relations between each symptom dimension and smoking initiation are of sizeable magnitude in Chinese adolescents. Genetic and environmental factors underlying depression-smoking comorbidity may vary across different depressive symptom dimensions.
Authors: Juncheng Qian; Min Cai; Jun Gao; Shenglan Tang; Ling Xu; Julia Alison Critchley Journal: Bull World Health Organ Date: 2010-04-16 Impact factor: 9.408
Authors: Tellervo Korhonen; Heli Koivumaa-Honkanen; Jyrki Varjonen; Ulla Broms; Markku Koskenvuo; Jaakko Kaprio Journal: Nicotine Tob Res Date: 2011-01-27 Impact factor: 4.244
Authors: Jeremy W Pettit; Peter M Lewinsohn; John R Seeley; Robert E Roberts; Judith H Hibbard; Arnold V Hurtado Journal: Int J Clin Health Psychol Date: 2008-05-01
Authors: Christina N Lessov-Schlaggar; Michele L Pergadia; Taline V Khroyan; Gary E Swan Journal: Biochem Pharmacol Date: 2007-08-19 Impact factor: 5.858
Authors: Jeanne M McCaffery; George D Papandonatos; Cassandra Stanton; Elizabeth E Lloyd-Richardson; Raymond Niaura Journal: Health Psychol Date: 2008-05 Impact factor: 4.267
Authors: Julia D Buckner; Samantha G Farris; Michael J Zvolensky; Sonia M Shah; Adam M Leventhal; Jennifer A Minnix; Norman B Schmidt Journal: Am J Drug Alcohol Abuse Date: 2014-11-14 Impact factor: 3.829
Authors: Michael J Zvolensky; Samantha G Farris; Adam M Leventhal; Joseph W Ditre; Norman B Schmidt Journal: Addict Behav Date: 2014-09-06 Impact factor: 3.913
Authors: Brian J Albanese; Nicholas P Allan; Joseph W Boffa; Jesus Chavarria; Amanda M Raines; Michael J Zvolensky; Norman B Schmidt Journal: J Affect Disord Date: 2015-10-21 Impact factor: 4.839
Authors: Adam M Leventhal; Jennifer B Unger; Janet Audrain-McGovern; Steve Sussman; Heather E Volk; David R Strong Journal: J Pers Assess Date: 2015-04-20
Authors: Renee D Goodwin; Melanie M Wall; Tse Choo; Sandro Galea; Jonathan Horowitz; Yoko Nomura; Michael J Zvolensky; Deborah S Hasin Journal: Ann Epidemiol Date: 2014-04-28 Impact factor: 3.797