Linden-Carmichael Ashley N, Dziak John J, Lanza Stephanie T
Department of Biobehavioral Health and the Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, 314 Biobehavioral Health, University Park, PA, USA.
The Methodology Center, The Pennsylvania State University, 408 Health and Human Development Building, University Park, PA, USA.
Alcohol Alcohol. 2019 Jan 1;54(1):97-103. doi: 10.1093/alcalc/agy074.
Alcohol use disorders (AUDs) are linked with numerous severe detrimental outcomes. Evidence suggests that there is a typology of individuals with an AUD based on the symptoms they report. Scant research has identified how these groups may vary in prevalence by age, which could highlight aspects of problematic drinking behavior that are particularly salient at different ages. Our study aimed to (a) identify latent classes of drinkers with AUD that differ based on symptoms of AUD and (b) examine prevalences of latent classes by age.
Our findings advocate for personalized treatment approaches for AUD and highlight the need for carefully considering the role of age in prevention and intervention efforts.
We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III). Current drinkers aged 18-64 who met criteria for a past-year AUD were included (n = 5402).
Latent class analysis (LCA) based on 11 AUD criteria revealed 5 classes: 'Alcohol-Induced Injury' (25%), 'Highly Problematic, Low Perceived Life Interference' (21%), 'Adverse Effects Only' (34%), 'Difficulty Cutting Back' (13%) and 'Highly Problematic' (7%). Using time-varying effect modeling (TVEM), each class was found to vary in prevalence across age. The Adverse Effects Only and Highly Problematic, Low Perceived Life Interference classes were particularly prevalent among younger adults, and the Difficulty Cutting Back and Alcohol-Induced Injury classes were more prevalent as age increased.
Findings suggest that experience of AUD is not only heterogeneous in nature but also that the prevalence of these subgroups vary across age.
酒精使用障碍（AUDs）与众多严重不良后果相关。有证据表明，根据报告的症状，存在一种酒精使用障碍患者的类型划分。极少有研究确定这些群体在患病率上如何随年龄变化，这可能会凸显出在不同年龄特别突出的问题饮酒行为方面。我们的研究旨在（a）识别基于酒精使用障碍症状而不同的酒精使用障碍饮酒者潜在类别，以及（b）按年龄检查潜在类别的患病率。
我们的研究结果支持针对酒精使用障碍的个性化治疗方法，并强调在预防和干预工作中仔细考虑年龄作用的必要性。
我们使用了全国酒精及相关状况流行病学调查（NESARC - III）的数据。纳入了年龄在18 - 64岁且符合过去一年酒精使用障碍标准的当前饮酒者（n = 5402）。
基于11项酒精使用障碍标准的潜在类别分析（LCA）揭示了5个类别：“酒精所致损伤”（25%）、“高度成问题，低感知生活干扰”（21%）、“仅有害影响”（34%）、“难以减少饮酒量”（13%）和“高度成问题”（7%）。使用随时间变化效应建模（TVEM），发现每个类别在不同年龄的患病率有所不同。“仅有害影响”和“高度成问题，低感知生活干扰”类别在年轻成年人中尤为普遍，而“难以减少饮酒量”和“酒精所致损伤”类别随着年龄增长更为普遍。
研究结果表明，酒精使用障碍的经历不仅本质上具有异质性，而且这些亚组的患病率在不同年龄也有所不同。
