HELIUS研究中酒精使用症状与社会人口因素的相互作用:网络视角

IF 3.5 2区 医学 Q1 PSYCHIATRY
Karoline B S Huth, Orestis Zavlis, Judy Luigjes, Henrike Galenkamp, Anja Lok, Karien Stronks, Claudi L H Bockting, Anneke Goudriaan, Maarten Marsman, Ruth J van Holst
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引用次数: 0

摘要

目的:对酒精使用障碍的研究主要集中在其症状水平机制-网络视角或社会人口统计学决定因素-流行病学研究。此外,此类研究未能对重要的个人层面因素(如性别或种族)进行分层分析。本研究将网络研究与流行病学研究相结合,并对个体因素进行分层分析。方法:使用贝叶斯推断,我们估计了(1)一个预测过去一年酒精消费量的逻辑回归模型,该模型来自荷兰一个大的、多种族的城市样本(完整样本:N = 22164),(2)一个横断面网络模型,用于预测同一样本的饮酒者的酒精使用症状和社会人口因素(饮酒者:N = 10877),以及(3)在同一饮酒者子样本中性别和种族水平的分层网络。结果:我们检查的所有社会人口因素都能预测过去一年的酒精消费量(按量级排序:宗教、性别、教育、就业、感知到的种族歧视和年龄)。我们对网络的贝叶斯分析揭示了三个显著的模式。首先,宗教与不良的酒精使用问题(如因饮酒而受伤)有着独特的负相关。其次,社会经济指标(教育和就业)与酗酒呈正相关,但与酗酒的负面影响(如“早上需要喝一杯”)呈负相关。最后,在男性和女性网络中,就业和教育分别与酒精使用症状负相关。结论:我们的研究结果表明,酒精使用症状与社会人口学因素存在差异,这些影响受性别和种族的影响。我们强调的网络联系和贝叶斯方法可以证明对未来的研究和预防和干预酒精使用障碍的努力是有用的。字数:4198字。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The interplay of alcohol use symptoms and sociodemographic factors in the HELIUS study: A network perspective.

Purpose: Research on alcohol use disorder has exclusively focused on either its symptom-level mechanisms-the network perspective or sociodemographic determinants-epidemiological research. Moreover, such research failed to stratify analyses for important person-level factors (e.g., sex or ethnicity). Here, we combine network and epidemiological research and stratify analyses by person-level factors.

Method: Using Bayesian inference, we estimated (1) a logistic regression model predicting past-year alcohol consumption from various sociodemographic factors within a large, multiethnic, urban sample in the Netherlands (complete sample: N = 22,164), (2) a cross-sectional network model of alcohol use symptoms and sociodemographic factors among alcohol drinkers of the same sample (drinkers: N = 10,877), and (3) stratified networks at the sex- and ethnic- levels in the same drinkers subsample.

Results: All of our examined sociodemographic factors predicted past-year alcohol consumption (in order of magnitude: religion, sex, education, employment, perceived ethnic discrimination, and age). Our Bayesian analysis of networks revealed three notable patterns. First, religion was uniquely and negatively related to adverse alcohol use problems (such as having an injury due to drinking). Second, socioeconomic proxies (education and employment) were positively related to binge drinking, but negatively related to its adverse effects (such as 'needing a drink in the morning'). Finally, employment and education were particularly negatively related to alcohol use symptoms within male and female networks, respectively.

Conclusion: Our results suggest that alcohol use symptoms are differentially related to sociodemographic factors and that these effects are moderated by sex and ethnicity. Our highlighted network links and Bayesian methodologies could prove useful for future research and prevention and intervention efforts on alcohol use disorders.Word count: 4198 words.

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来源期刊
CiteScore
8.50
自引率
2.30%
发文量
184
审稿时长
3-6 weeks
期刊介绍: Social Psychiatry and Psychiatric Epidemiology is intended to provide a medium for the prompt publication of scientific contributions concerned with all aspects of the epidemiology of psychiatric disorders - social, biological and genetic. In addition, the journal has a particular focus on the effects of social conditions upon behaviour and the relationship between psychiatric disorders and the social environment. Contributions may be of a clinical nature provided they relate to social issues, or they may deal with specialised investigations in the fields of social psychology, sociology, anthropology, epidemiology, health service research, health economies or public mental health. We will publish papers on cross-cultural and trans-cultural themes. We do not publish case studies or small case series. While we will publish studies of reliability and validity of new instruments of interest to our readership, we will not publish articles reporting on the performance of established instruments in translation. Both original work and review articles may be submitted.
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