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患有和未患有酒精使用障碍的双相情感障碍患者在人口统计学和临床方面的差异。

Demographic and Clinical Differences Between Bipolar Disorder Patients With and Without Alcohol Use Disorders.

作者信息

Xia Yan, Ma Dongying, Perich Tania, Hu Jian, Mitchell Philip B

机构信息

Mental Health Institute, Harbin Medical University, Mental Health Centre, 1st Affiliated Hospital of Harbin Medical University, Harbin, China.

Department of Neurosurgery, 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.

出版信息

Front Psychiatry. 2020 Sep 3;11:570574. doi: 10.3389/fpsyt.2020.570574. eCollection 2020.

Abstract

BACKGROUND

Bipolar disorder (BD) and alcohol use disorder (AUD) are two major independent causes of psychopathology in the general population. The prevalence of AUD in BD is high. Identifying the clinical and demographic features of patients with BD who may develop AUD could help with early identification and intervention.

METHODS

Data from 238 patients diagnosed with BD were gathered on alcohol use, social demographics, longitudinal course of BD, clinical features of the most severe lifetime manic and depressive episodes, comorbid physical diseases, anxiety disorders, and other substance use disorders.

RESULTS

We found that 74 of 238 BD patients had AUD (67 with alcohol dependence and 7 with alcohol abuse). Bivariate logistic regression analysis and multivariate logistic regression analysis found that the best predictors of AUD in patients with BD were being male (OR = 2.086, 95% CI = 1.094-3.979, = 0.001), younger (OR = 0.965, 95% CI = 0.935-0.996, = 0.026), and comorbidity with other unclassified substance dependence (OR = 10.817, 95% CI = 1.238-94.550, = 0.031).

CONCLUSIONS

Male, younger current age, and having other substance use disorders were independently associated with AUD.

摘要

背景

双相情感障碍(BD)和酒精使用障碍(AUD)是普通人群精神病理学的两个主要独立病因。BD患者中AUD的患病率很高。识别可能发展为AUD的BD患者的临床和人口统计学特征有助于早期识别和干预。

方法

收集了238例诊断为BD的患者关于酒精使用、社会人口统计学、BD的纵向病程、最严重的终生躁狂和抑郁发作的临床特征、共病的躯体疾病、焦虑障碍以及其他物质使用障碍的数据。

结果

我们发现238例BD患者中有74例患有AUD(67例酒精依赖,7例酒精滥用)。二元逻辑回归分析和多元逻辑回归分析发现,BD患者中AUD的最佳预测因素为男性(OR = 2.086,95%CI = 1.094 - 3.979,P = 0.001)、年龄较小(OR = 0.965,95%CI = 0.935 - 0.996,P = 0.026)以及与其他未分类物质依赖共病(OR = 10.817,95%CI = 1.238 - 94.550,P = 0.031)。

结论

男性、当前年龄较小以及患有其他物质使用障碍与AUD独立相关。

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