Historique
Article de Périodique
Gender differences in alcohol use disorder trends from 2009-2019: An intersectional analysis (2025)
Auteur(s) :
VERPLAETSE, T. L. ;
CARRETTA, R. F. ;
STRUBLE, C. A. ;
PITTMAN, B. ;
ROBERTS, W. ;
ZAKINIAEIZ, Y. ;
PELTIER, M. R. ;
McKEE, S. A.
Année
2025
Page(s) :
101-107
Langue(s) :
Anglais
Domaine :
Alcool / Alcohol
Discipline :
EPI (Epidémiologie / Epidemiology)
Thésaurus géographique
ETATS-UNIS
Thésaurus mots-clés
ALCOOL
;
EVOLUTION
;
CONSOMMATION
;
DIFFERENCE DE GENRE
;
SEXE
;
AGE
;
MORBIDITE
;
FACTEUR DE RISQUE
;
PROFIL SOCIO-DEMOGRAPHIQUE
Autres mots-clés
Note générale :
Editorial: Witkiewitz K., Leggio L. Sex and gender differences in alcohol use disorder: Quo Vadis? Alcohol, 2025, Vol. 123, p. 121-125. https://doi.org/10.1016/j.alcohol.2025.01.003
Résumé :
Background: Trend 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.
Methods: The 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.
Results: We 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.
Conclusions: Our findings provide support for converging rates of AUD between genders and newly identify subpopulations of females that may be at heightened risk. [Author's abstract]
Highlights:
Rates of AUD have increased in females over the past decade compared to males.
It is critical to examine which subpopulations of females and males may be at increased risk for AUD.
We used the NSDUH to examine how sociodemographic factors may influence gender differences in AUD trends from 2009-2019.
We found decreasing rates of AUD over time in males and females, with larger declines in males.
Women identifying as Black, aged <49, single, employed, or earning $20k-$40k, had smaller or no declines in AUD vs. men.
Methods: The 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.
Results: We 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.
Conclusions: Our findings provide support for converging rates of AUD between genders and newly identify subpopulations of females that may be at heightened risk. [Author's abstract]
Highlights:
Rates of AUD have increased in females over the past decade compared to males.
It is critical to examine which subpopulations of females and males may be at increased risk for AUD.
We used the NSDUH to examine how sociodemographic factors may influence gender differences in AUD trends from 2009-2019.
We found decreasing rates of AUD over time in males and females, with larger declines in males.
Women identifying as Black, aged <49, single, employed, or earning $20k-$40k, had smaller or no declines in AUD vs. men.
Affiliation :
Yale School of Medicine, Department of Psychiatry, New Haven, CT, USA
Center for Technology and Behavioral Health, Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
Center for Technology and Behavioral Health, Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA