Literature DB >> 25462665

Confounders or intermediate variables? Testing mechanisms for the relationship between depression and smoking in a longitudinal cohort study.

Michael Chaiton1, Joanna E Cohen2, Jürgen Rehm3, Mohamed Abdulle4, Jennifer O'Loughlin5.   

Abstract

INTRODUCTION: The relationship between the onset of smoking and the onset of depression among adolescents has been well document, but the mechanisms underlying the relationship are unclear. This paper uses an empirical method to assess potential intermediate variables in the pathway between changes in depressive symptoms and cigarette smoking in a longitudinal cohort of adolescents.
METHODS: 837 participants from a cohort in Montreal, Canada who had not smoked and did not have elevated depressive symptoms at baseline were followed for five years from 1999 to 2003. The role of a set of 15 variables previously identified in the literature as potential confounders were systematically evaluated as predictors of exposure and outcome, for attenuation of the association by more than 10%, and for intra-individual change in the variable after onset of exposure.
RESULTS: The magnitude of the association between smoking and depressive symptoms was fully attenuated after adjustment for all variables included indiscriminately. A concept map was developed detailing the empirical associations between the variables within this data set. Stress, worry about weight, and worry about parents were identified as intermediate variables for both smoking predicting depressive symptoms and depressive symptoms predicting smoking. Cox regressions with appropriate confounders maintained statistical significance.
CONCLUSION: Cigarette smoking is associated with higher depressive symptoms prior to and after inclusion of empirical confounders. Inclusion of intermediate variables in multivariable models can lead to the erroneous conclusion that there is no association between smoking and depression.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adolescent; Causal pathways; Cohort; Depression; Smoking

Mesh:

Year:  2014        PMID: 25462665     DOI: 10.1016/j.addbeh.2014.11.026

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  6 in total

1.  E-cigarette use (vaping) is associated with illicit drug use, mental health problems, and impulsivity in university students.

Authors:  Jon E Grant; Katherine Lust; Daniel J Fridberg; Andrea C King; Samuel R Chamberlain
Journal:  Ann Clin Psychiatry       Date:  2019-02       Impact factor: 1.567

2.  Interaction between maternal caffeine intake during pregnancy and CYP1A2 C164A polymorphism affects infant birth size in the Hokkaido study.

Authors:  Seiko Sasaki; Mariko Limpar; Fumihiro Sata; Sumitaka Kobayashi; Reiko Kishi
Journal:  Pediatr Res       Date:  2017-05-24       Impact factor: 3.756

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Authors:  Sharon Lawn; Joseph Van Agteren; Sara Zabeen; Sue Bertossa; Christopher Barton; James Stewart
Journal:  Int J Environ Res Public Health       Date:  2018-02-03       Impact factor: 3.390

4.  A Retrospective Cross-Sectional Study on the Prevalence of E-cigarette Use Among College Students.

Authors:  Rebecca D Jones; Matthew Asare; Beth Lanning
Journal:  J Community Health       Date:  2021-02

5.  Setting-Specific and Symptom-Specific Association between Secondhand Smoke Exposure and Depressive Symptoms.

Authors:  Xiaohua Ye; Jingya Huang; Liang Xia; Xiaojun Xu; Xiao Gong; Yanjun Xu
Journal:  Int J Environ Res Public Health       Date:  2019-04-08       Impact factor: 3.390

6.  Predictive Association of Smoking with Depressive Symptoms: a Longitudinal Study of Adolescent Twins.

Authors:  Anu Ranjit; Jadwiga Buchwald; Antti Latvala; Kauko Heikkilä; Annamari Tuulio-Henriksson; Richard J Rose; Jaakko Kaprio; Tellervo Korhonen
Journal:  Prev Sci       Date:  2019-10
  6 in total

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