Examining cohort effects in developmental trajectories of substance use
Year: 2016
Type: article
Abstract: The current study demonstrates the application of an analytic approach for incorporating multiple time trends in order to examine the impact of cohort effects on individual trajectories of eight drugs of abuse. Parallel analysis of two independent, longitudinal studies of high-risk youth that span ages 10 to 40 across 23 birth cohorts between 1968 and 1991 was conducted. The two studies include the Michigan Longitudinal Study (current analytic sample of n=579 over 12 cohorts between 1980-1991 and ages 10-27) and the Adolescent/Adult and Family Development Project (current analytic sample of n=849 over 11 cohorts between 1968-1978 and ages 10-40). A series of nonlinear, multi-level growth models controlled simultaneously for cohort and age trends in substance use trajectories. Evidence was found for both age and cohort effects across most outcomes as well as several significant age-by-cohort interactions. Findings suggest cohort trends in developmental trajectories of substance use are sample and drug-specific in the adolescent and early to mid-adult years. Thus, studies that do not control for both trends may confound cohort and developmental trends in substance use. For this reason, demonstration of one analytic approach that can be used to examine both time trends simultaneously is informative for future multi-cohort longitudinal studies where change over time is of interest.
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: Evaluating existing and innovative models for adolescent substance use data, SUBSTANCE USE AMONG CHILDREN OF ALCOHOLICS, Investigating Intergenerational Transmission of Stress Coping and Substance Abuse, Family Study of Risk for Alcoholism Over the Life Course, Substance Use Among Children of Alcoholics, Family Study of Risk for Alcoholism Over the Life Course, Internalizing pathways to drug use: A multi-sample analysis
OpenAlex ID: W2421974951
