2009-2019 年酒精使用障碍趋势中的性别差异:交叉分析。

T L Verplaetse, R F Carretta, C A Struble, B Pittman, W Roberts, Y Zakiniaeiz, M R Peltier, S A McKee
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引用次数: 0

摘要

背景:过去 20 年中,全国性调查的趋势估计表明,随着时间的推移,成年男性和女性的饮酒率趋于一致。然而,利用交叉视角来研究社会人口特征如何影响这些趋势中的性别差异的研究却很有限:本研究使用了美国国家药物使用和健康调查(NSDUH)的数据,以考察性别是否与种族/民族、年龄、教育程度、婚姻状况、就业状况、家庭收入和城市化程度等因素交织在一起,影响酒精使用障碍(AUD)的时间趋势(2009-2019 年)。我们还进行了逻辑回归和线性趋势分析,以研究社会人口变量与男性和女性酒精使用障碍发病率随时间变化的交互作用:我们观察到,随着时间的推移,男性和女性的 AUD 患病率都在下降,男性的下降幅度更大(P=0.01;男性 OR=0.96 与女性 OR=0.98 相比)。我们发现在这一时期(2009-2019 年)内,女性亚群的降幅很小或没有降幅,这些亚群因种族/民族、年龄、婚姻状况、就业和收入而异,但与教育程度或城市化程度无关。在 49 岁及以下的成年人中(总体 p=0.02;18-25 岁男性 OR=0.92 ,女性 OR=0.96 ;26-29 岁男性 OR=0.97 ,女性 OR=0.99),以及在就业者中(总体 p=0.05;男性 OR=0.96 ,女性 OR=0.99),女性的下降幅度小于男性。此外,报告自己是黑人(p=0.006;男性 OR=0.94,女性 OR=1)、单身(p=0.009;男性 OR=0.94,女性 OR=0.96)或收入在 20,000 美元至 49,000 美元之间(p=0.012;男性 OR=0.96,女性 OR=0.98)的女性与具有相同人口特征的男性相比,其 AUD 下降幅度较小或没有下降:我们的研究结果支持了两性之间AUD发病率的趋同性,并新发现了可能面临更高风险的女性亚人群。
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Gender Differences in Alcohol Use Disorder Trends from 2009-2019: An Intersectional Analysis.

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.

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