Evidence map›Paper›PMID 26483358›Full record

ArticleDrug and alcohol dependence2015

Age-varying associations between substance use behaviors and depressive symptoms during adolescence and young adulthood.

Megan S Schuler, Sara A Vasilenko, Stephanie T Lanza

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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  10. A Nationally Representative Study of Sexual Orientation and High-Risk Drinking From Adolescence to Young Adulthood.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
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  18. Dynamic Associations of Parent-Adolescent Closeness and Friend Support With Adolescent Depressive Symptoms Across Ages 12-19.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2021
    Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Megan S SchulerDepartment of Health Care Policy, Harvard Medical School, Boston, MA 02215, United States. Electronic address: schuler@hcp.med.harvard.edu.
Sara A VasilenkoThe Methodology Center, The Pennsylvania State University, State College, PA 16801, United States. Electronic address: sav141@psu.edu.
Stephanie T LanzaThe Methodology Center, Department of Biobehavioral Health, The Pennsylvania State University, State College, PA 16801, United States. Electronic address: slanza@psu.edu.

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
THE REFINEMENT &APPLICATION OF MEDICAL DECISION MAKING IN PREVENTION SCIENCESP50DA010075 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI COFFMAN, DONNA LYNN · 1996 to 2014
$24.5M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
Age-Varying Effects in the Epidemiology of Drug AbuseR01DA039854 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LANZA, STEPHANIE T · 2015 to 2017
$676k
Advancing Tobacco Research by Integrating Systems Science and Mixture ModelsR01CA168676 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI LANZA, STEPHANIE T · 2012 to 2014
$498k
NCI NIH HHS R01 CA168676NICHD NIH HHS P01 HD031921NICHD NIH HHS P01-HD31921NIDA NIH HHS P50 DA010075NIDA NIH HHS P50DA010075NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA039854NIDA NIH HHS T32 DA017629NIDA NIH HHS T32DA017629
6 · The paper itself

Abstract

backgroundSubstance use and depression often co-occur, complicating treatment of both substance use and depression. Despite research documenting age-related trends in both substance use and depression, little research has examined how the associations between substance use behaviors and depression changes across the lifespan.

methodsThis study examines how the associations between substance use behaviors (daily smoking, regular heavy episodic drinking (HED), and marijuana use) and depressive symptoms vary from adolescence into young adulthood (ages 12-31), and how these associations differ by gender. Using data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), we implemented time-varying effect models (TVEM), an analytic approach that estimates how the associations between predictors (e.g., substance use measures) and an outcome (e.g., depressive symptoms) vary across age.

resultsMarijuana use and daily smoking were significantly associated with depressive symptoms at most ages from 12 to 31. Regular HED was significantly associated with depressive symptoms during adolescence only. In bivariate analyses, the association with depressive symptoms for each substance use behavior was significantly stronger for females at certain ages; when adjusting for concurrent substance use in a multivariate analysis, no gender differences were observed.

conclusionsWhile the associations between depressive symptoms and both marijuana and daily smoking were relatively stable across ages 12-31, regular HED was only significantly associated with depressive symptoms during adolescence. Understanding age and gender trends in these associations can help tailor prevention efforts and joint treatment methods in order to maximize public health benefit.

Indexed as

AdolescentAdultAgingAlcohol DrinkingChildDepressionFemaleHumansLongitudinal StudiesMaleMarijuana SmokingSex CharacteristicsSmokingYoung AdultAdolescenceAge-varying effectsComorbidityDepressionSubstance useYoung adulthood

Identifiers

PMID26483358
PMCPMC4663168

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.