Evidence map›Paper›PMID 39579801›Full record

ArticleAlcohol (Fayetteville, N.Y.)2025

Gender differences in alcohol use disorder trends from 2009-2019: An intersectional analysis.

T L Verplaetse, R F Carretta, C A Struble, B Pittman, W Roberts, Y Zakiniaeiz, M R Peltier, S A McKee

Abstract read
In one paragraph

Article in Alcohol (Fayetteville, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Sex-Based Mechanisms of Stress-Induced Alcohol-Seeking.Behavioral sciences (Basel, Switzerland) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. KAlcohol (Fayetteville, N.Y.) · 2025
    Article
  11. Article
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

8 authors.

T L VerplaetseYale School of Medicine, Department of Psychiatry, 40 Temple Street, New Haven, CT 06510, United States. Electronic address: terril.verplaetse@yale.edu.
R F CarrettaYale School of Medicine, Department of Psychiatry, 40 Temple Street, New Haven, CT 06510, United States.
C A StrubleCenter for Technology and Behavioral Health, Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, 46 Centerra Parkway, EverGreen Center Suite 315, Lebanon, NH 03766, United States.
B PittmanCenter for Technology and Behavioral Health, Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, 46 Centerra Parkway, EverGreen Center Suite 315, Lebanon, NH 03766, United States.
W RobertsCenter for Technology and Behavioral Health, Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, 46 Centerra Parkway, EverGreen Center Suite 315, Lebanon, NH 03766, United States.
Y ZakiniaeizYale School of Medicine, Department of Psychiatry, 40 Temple Street, New Haven, CT 06510, United States.
M R PeltierYale School of Medicine, Department of Psychiatry, 40 Temple Street, New Haven, CT 06510, United States.
S A McKeeYale School of Medicine, Department of Psychiatry, 40 Temple Street, New Haven, CT 06510, United States.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale-SCORE Resource Support CoreU54AA027989 · NIAAA · YALE UNIVERSITY · PI Ralitza Gueorguieva · 2020 to 2026
$13.0M
Characterizing brain-periphery cortisol dysregulation in AUDR01AA030971 · NIAAA · YALE UNIVERSITY · PI Terril L Verplaetse · 2024 to 2026
$2.1M
Translational Alcohol Research Program (TARP)T32AA028259 · NIAAA · YALE UNIVERSITY · PI COSGROVE, KELLY P., VASILIOU, VASILIS · 2020 to 2024
$1.8M
Behavioral and Neurochemical Mechanisms Underlying Stress-Precipitated DrinkingK01AA025670 · NIAAA · YALE UNIVERSITY · PI VERPLAETSE, TERRIL L · 2018 to 2023
$882k
Sex Differences in Alcohol Use Disorder Neurodegeneration using Multimodal PET and DTI NeuroimagingK01AA029706 · NIAAA · YALE UNIVERSITY · PI Yasmin Zakiniaeiz · 2022 to 2026
$881k
Does endotoxin administration increase alcohol consumption in individuals with AUD?R03AA028361 · NIAAA · YALE UNIVERSITY · PI VERPLAETSE, TERRIL L · 2021 to 2022
$168k
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS K01 AA025670NIAAA NIH HHS K01 AA029706NIAAA NIH HHS R01 AA030971NIAAA NIH HHS R03 AA028361NIAAA NIH HHS T32 AA028259NIAAA NIH HHS U54 AA027989
6 · The paper itself

Abstract

backgroundTrend estimates from national surveys over the last 20 years have suggested converging rates of alcohol use over time between adult men and women. However, limited research has utilized an intersectional lens to examine how sociodemographic characteristics influence gender differences in these trends.

methodsThe current study used data from the National Survey on Drug Use and Health (NSDUH) to examine whether gender intersected with race/ethnicity, age, education level, marital status, employment status, household income, and urbanicity on temporal trends (2009-2019) in alcohol use disorder (AUD). Logistic regression and linear trend analyses were conducted to examine interaction effects of sociodemographic variables and changes in rates of AUD over time in males and females.

resultsWe observed decreasing rates of AUD over time in males and females, with larger declines in males (p = 0.01; OR = 0.96 in males vs. OR = 0.98 in females). We identified subpopulations of females that demonstrated little or no reductions during this timeframe (2009-2019), which varied by race/ethnicity, age, marital status, employment, and income but not by education or urbanicity. In adults aged 49 years and younger (overall p = 0.02; ages 18-25 OR = 0.92 in males vs. 0.96 in females, ages 26-29 OR = 0.97 in males vs. OR = 0.99 in females), and in those employed (overall p = 0.05; OR = 0.96 in males vs. OR = 0.99 in females), women demonstrated smaller declines in comparison to men. Additionally, women who reported that they were Black (p = 0.006; OR = 0.94 in males vs. OR = 1 in females), single (p = 0.009; OR = 0.94 in males vs. 0.96 in females) or earning between $20,000 and $49,000 (p = 0.012; OR = 0.96 in males vs. 0.98 in females), had smaller or no declines in AUD in compared to men with the same demographic characteristic.

conclusionsOur findings provide support for converging rates of AUD between genders and newly identify subpopulations of females that may be at heightened risk.

Indexed as

AlcoholismAdolescentAdultAgedAge FactorsFemaleHealth SurveysHumansMaleMiddle AgedSex FactorsSocioeconomic FactorsUnited StatesYoung AdultAgeAlcohol use disorderDrinking trendsGender differencesRace

Identifiers

PMID39579801
PMCPMC11871986

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.