Evidence map›Paper›PMID 34541283›Full record

ArticleSSM - population health2021

Cohort effects on gender differences in alcohol use in the United States: How much is explained by changing attitudes towards women and gendered roles?

Katherine M Keyes, Jonathan Platt, Caroline Rutherford, Megan E Patrick, Deborah D Kloska, John Schulenberg, Justin Jager

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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, 14 citations in OpenAlex.

  1. Alcohol and Cancer Messaging: A Scoping Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 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

7 authors at 3 institutions in 1 country.

Katherine M KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Jonathan PlattDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Caroline RutherfordDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Megan E PatrickInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Deborah D KloskaInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.
John SchulenbergInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Justin JagerT. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, AZ, USA.
Columbia University · USUniversity of Michigan · USArizona State University · US

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19-65 - Diversity Supplement (Solberg)R01DA016575 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Megan E. Patrick · 2003 to 2026
$44.6M
Age, period, and cohort effects on gender differences in alcohol use and alcohol use disorders in 47 national, longitudinally-followed cohortsR01AA026861 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JAGER, JUSTIN O, KEYES, KATHERINE M. · 2018 to 2022
$1.9M
NIAAA NIH HHS R01 AA026861NIDA NIH HHS R01 DA001411NIDA NIH HHS R01 DA016575
6 · The paper itself

Abstract

Gender differences in binge drinking have converged in recent cohorts, due in part to faster decreases in consumption among boys in adolescence, and faster increases in consumption among women in young to middle adulthood. Changes in education and occupation explain a portion, but not all, of these differences; the present study examines how attitudes about gender, religion and family additionally explain cohort effects in binge drinking by sex. Data were drawn from the Monitoring the Future panel studies, including >54,000 participants who were high school seniors from 1976 through 2006, followed to age 29/30 from 1988 through 2016. The main effect relationship between cohort and binge drinking was assessed, and 28 items on gender, religion and family were evaluated to determine if mediation criteria were met; mediation models assessed direct and indirect effects. Results indicated that gender, religion and family attitudes and beliefs among US adults across the 20 th and 21 st centuries have shifted dramatically but not monotonically. US adolescents and adults have largely become less religious; some attitudes on women and family have become less conservative and some more. Among men, views on marriage showed the largest mediation effects; agreeing with the statement 'one partner is too restrictive' mediated 3.35% of the cohort effect (95% C.I. 2.42, 4.31) and 'couples should live together before they are married' mediated 1.6% of the cohort effect (95% C.I. -2.37, -0.8). Among women, declines in religious service attendance mediated 2.0% of cohort effects in binge drinking (95% C.I. -3.03, -1.09), as well as similar family attitudes as men. In conclusion, changes in social roles, as well as some gender, and religious views, partially mediate cohort effects on binge drinking for men and women. The dynamic changes in how adolescents and adults view family and gender are important components of alcohol epidemiology.

Indexed as

AlcoholAlcoholismGenderGender rolesLongitudinal analysisSocial epidemiologyYoung adults

Identifiers

PMID34541283
PMCPMC8435695
OpenAlexW3199821684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.