Evidence map›Paper›PMID 35853404›Full record

ArticleAddictive behaviors2022

Bidirectional associations between depressive symptoms and cigarette, e-cigarette, cannabis, and alcohol use: Cross-lagged panel analyses among young adults before and during COVID-19.

Yan Wang, Zongshuan Duan, Katelyn F Romm, Yan Ma, W Douglas Evans, Breesa Bennett, Caroline Fuss, Katharina E Klinkhammer, Christina N Wysota, Carla J Berg

Abstract read
In one paragraph

Article in Addictive behaviors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  4. Binge alcohol and cannabis co-use associated with depression in Black men.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
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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

10 authors.

Yan WangDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Zongshuan DuanDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Katelyn F RommDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Yan MaDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University.
W Douglas EvansDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA; Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA; George Washington Cancer Center, George Washington University, Washington, DC, USA.
Breesa BennettDepartment of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Caroline FussDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Katharina E KlinkhammerDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Christina N WysotaDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Carla J BergDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA; Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA; George Washington Cancer Center, George Washington University, Washington, DC, USA; Department of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, DC, USA. Electronic address: carlaberg@gwu.edu.

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
Testing a Digital Therapeutic for Smoking Cessation among Hispanic Persons who SmokeU54MD015946 · NIMHD · UNIVERSITY OF HOUSTON · PI Fatima Aziz Merchant · 2020 to 2026
$22.0M
Recreational Marijuana Marketing and Young Adult Consumer Behavior - Administrative SupplementR01DA054751 · NIDA · GEORGE WASHINGTON UNIVERSITY · PI Carla J Berg, Patricia A Cavazos-Rehg · 2022 to 2026
$4.3M
Regulatory Impact on Vape Shops and Young Adults' Use of ENDS - Diversity SupplementR01CA215155 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERG, CARLA J · 2018 to 2022
$3.4M
Market Research to Predict Emerging Tobacco Product Use in Diverse Young AdultsR01CA179422 · NCI · EMORY UNIVERSITY · PI BERG, CARLA J · 2013 to 2017
$2.7M
Smoke-free Air Coalitions in Georgia and Armenia: A Community Randomized TrialR01TW010664 · FIC · EMORY UNIVERSITY · PI BERG, CARLA J, KEGLER, MICHELLE C · 2017 to 2021
$1.5M
Emory-Georgia Clean Air Research & Education (CARE) ProgramD43ES030927 · NIEHS · EMORY UNIVERSITY · PI BERG, CARLA J, CAUDLE, WILLIAM MICHAEL · 2019 to 2025
$1.2M
Assessing IQOS Marketing Influences and Consumer Behavior in Israel: Implications for the USR01CA239178 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERG, CARLA J, LEVINE, HAGAI · 2019 to 2021
$1.2M
Helping Everyone Achieve a LifeTime of Health - Future Addiction Scientist TrainingR25DA054015 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI OBASI, EZEMENARI M., REITZEL, LORRAINE R · 2021 to 2025
$1.0M
Parental Influences on Tobacco Use among Sexual Minority Young Adults in a New Market and Policy LandscapeF32DA055388 · NIDA · GEORGE WASHINGTON UNIVERSITY · PI ROMM, KATELYN · 2022 to 2022
$12k
FIC NIH HHS R01 TW010664NCI NIH HHS P30 CA225520NCI NIH HHS R01 CA179422NCI NIH HHS R01 CA215155NCI NIH HHS R01 CA239178NIDA NIH HHS F32 DA055388NIDA NIH HHS R01 DA054751NIDA NIH HHS R25 DA054015NIEHS NIH HHS D43 ES030927NIMHD NIH HHS U54 MD015946
6 · The paper itself

Abstract

backgroundThe literature regarding bidirectional relationships of depressive symptoms to cigarette and alcohol use is mixed, and limited regarding e-cigarette and cannabis use. Moreover, COVID-19 has significantly impacted mental health and substance use, especially among young adults. Thus, this is a critical period for focused research on these relationships among young adults.

methodsWe analyzed longitudinal data (assessments in Fall 2018, 2019, and 2020) from 3,006 young adults (M

resultsDuring the study period, depressive symptoms decreased before the pandemic but increased during, cigarette and e-cigarette use decreased in both periods, alcohol use showed no change before but increases during the pandemic, and cannabis use increased in both periods. Additionally, each outcome demonstrated greater stability before versus during COVID-19. Finally, greater antecedent depressive symptoms correlated with more days of subsequent cigarette (β = 0.03, SE = 0.01, p =.011) and e-cigarette use (β = 0.03, SE = 0.01, p =.021), but fewer days of alcohol use (β = -0.02, SE = 0.01, p =.035). W2 cannabis use and alcohol use, respectively, were related to W3 depressive symptoms (cannabis: β = 0.09, SE = 0.02, p <.001; alcohol: β = 0.06, SE = 0.02, p =.002). No other cross-lagged associations were significant.

conclusionsIntervention efforts targeting depression and substance use should explicitly address the potential for onset and escalation of substance use and depressive symptoms, respectively, especially during societal stressors.

Indexed as

CannabisCOVID-19Electronic Nicotine Delivery SystemsSubstance-Related DisordersTobacco ProductsAdultDepressionFemaleHumansMaleYoung AdultAlcohol useCannabis useCross-lagged panel modelingDepressionTobacco useYoung adults

Identifiers

PMID35853404
PMCPMC9823144

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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.