Changing perspectives on marijuana use during early adolescence and young adulthood: Evidence from a panel of cross-sectional surveys

2016 ◽  
Vol 169 ◽  
pp. 5-10 ◽  
Author(s):  
Christopher P. Salas-Wright ◽  
Michael G. Vaughn ◽  
Brian E. Perron ◽  
Jennifer M. Reingle Gonzalez ◽  
Trenette Clark Goings
Keyword(s):  
Young Adulthood ◽  
Early Adolescence ◽  
Marijuana Use ◽  
Cross Sectional ◽  
Adolescence And Young Adulthood

The onset of marijuana use from preadolescence and early adolescence to young adulthood

1999 ◽  
Vol 11 (4) ◽  
pp. 901-914 ◽  
Author(s):  
JUDITH S. BROOK ◽  
RONALD C. KESSLER ◽  
PATRICIA COHEN
Keyword(s):  
Risk Factors ◽  
Young Adulthood ◽  
Early Adolescence ◽  
Marijuana Use ◽  
Ecological Predictors ◽  
Increased Risk ◽  
Interpersonal Risk ◽  
Interactional Perspective ◽  
Middle Adolescence ◽  
Smoke Tobacco

Although it is well documented that intrapersonal and interpersonal risk factors are related to the frequency of marijuana use, much less is known about the initiation of marijuana use. This paper reports on a longitudinal study of the personality, family, peer, and ecological predictors of marijuana onset. Survival analysis was applied to a sample of nonusers of illegal drugs, followed from age 9 years to the 20s. The major findings indicate that (a) youngsters who are unconventional are at a higher risk for marijuana initiation; (b) youngsters who associate with peers who use marijuana or who smoke tobacco themselves are at increased risk for marijuana initiation; (c) youngsters who identify with their parents are less likely to begin marijuana use; and (d) the predictors related to marijuana onset emerged during preadolescence, early adolescence, middle adolescence, late adolescence, and the 20s. Results are discussed within the framework of a family interactional perspective of development. Implications for prevention are discussed.

scholarly journals Peak oxygen uptake (VO2peak) across childhood, adolescence and young adulthood in Barth syndrome: Data from cross-sectional and longitudinal studies

PLoS ONE ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. e0197776 ◽  
Author(s):  
William Todd Cade ◽  
Kathryn L. Bohnert ◽  
Dominic N. Reeds ◽  
Linda R. Peterson ◽  
Adam J. Bittel ◽  
...  
Keyword(s):  
Oxygen Uptake ◽  
Longitudinal Studies ◽  
Young Adulthood ◽  
Peak Oxygen Uptake ◽  
Barth Syndrome ◽  
Cross Sectional ◽  
Adolescence And Young Adulthood

scholarly journals Polygenic Risk for Depression is Associated with the Severity and Rate of Change in Depressive Symptoms Across Adolescence

2020 ◽  
Author(s):  
Alex S. F. Kwong ◽  
Tim T. Morris ◽  
Rebecca M. Pearson ◽  
Nicholas J. Timpson ◽  
Frances Rice ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Young Adulthood ◽  
Growth Curve ◽  
Repeated Measures ◽  
Adolescent Depression ◽  
Rate Of Change ◽  
Cross Sectional ◽  
Polygenic Risk ◽  
Adolescence And Young Adulthood ◽  
Growth Curve Analyses

AbstractAdolescence marks a period where depression will commonly onset and previous research using twin studies has suggested that genetic influences play a role in how depression develops and changes across adolescence. Recent genome-wide association studies have also shown that common genetic variants – which can be combined into a polygenic risk score (PRS) – are also implicated in depression. However, the role of PRS in adolescent depression and changes in adolescent depression is not yet understood. We aimed to examine the association between a PRS for depressive symptoms and depressive symptoms across adolescence and young adulthood, and how polygenic risk is associated with changes in depressive symptoms using two methods: cross-sectional analysis and multilevel growth curve modelling to examine the rate of change over time. Using data from over 6000 participants of the Avon Longitudinal Study of Parents and Children (ALSPAC) we examined associations between genetic liability to depressive symptoms (PRS for depressive symptoms) and self-reported depressive symptoms (short mood and feelings questionnaire over 9 occasions from 10-24 years). We examined cross-sectional associations at each age and longitudinal trajectories of depressive symptoms in a repeated measures framework using growth curve analysis. The PRS was associated with depressive symptoms throughout adolescence and young adulthood in cross-sectional and growth curve analyses, though associations were stronger in the latter analyses. Growth curve analyses also provided additional insights, demonstrating that individuals with a higher PRS had steeper trajectories of depressive symptoms across adolescence with a greater increasing rate of change. These results show that common genetics variants as indexed by a PRS for depressive symptoms influence both the severity and rate of change in adolescent depressive symptoms. Longitudinal data that make use of repeated measures designs have the potential to provide greater insights into the factors that influence the onset and persistence of adolescent depression.

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