尼泊尔Rupandehi地区初级卫生保健机构人员中酒精使用障碍的患病率及相关因素

IF 1.5 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Global Health Epidemiology and Genomics Pub Date : 2025-09-30 eCollection Date: 2025-01-01 DOI:10.1155/ghe3/2790450
Chet Kant Bhusal, Sigma Bhattarai, Savyata Panthi, Ashok Chhatkuli, Aishwarya Verma, Ananya Kunwar Chhetri, Anwiti Parajuli, Ayushma Khanal, Jainab Khan, Madhav Basyal, Sagar Panta
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引用次数: 0

摘要

背景:酒精使用障碍(AUD)是一个全球性的公共卫生问题,影响个人的生理、社会和精神。在尼泊尔进行了有限的研究以探索相关因素。本研究旨在评估在尼泊尔鲁班迪接受初级卫生保健服务的人群中澳元的患病率及其相关因素。方法:采用多阶段概率抽样技术,对尼泊尔鲁潘代希地区初级卫生保健机构就诊的688名患者进行了基于机构的横断面研究。本研究使用尼泊尔版本的有效AUD识别测试(AUDIT)来筛选AUD。为了评估因变量和自变量之间的关系,最初进行了双变量分析。结果:AUD患病率为30.8% (CI: 27.4-34.4)。约62.8%为低危,26.7%为高危,5.1%为有害和危险,5.4%为酒精依赖。年龄≥50岁(校正优势比[AOR] = 0.26, CI: 0.11-0.61)、女性(AOR = 0.14, CI: 0.07-0.28)、非印度教徒(AOR = 0.05, CI: 0.01-0.43)、≥SLC教育(AOR = 0.16, CI: 0.08-0.31)与AUD呈负相关。然而,Newar (AOR = 4.10, CI: 1.00-16.88)、农村地区(AOR = 1.57, CI: 1.02-2.42)、共同家庭(AOR = 1.58, CI: 1.05-2.37)、日工资(AOR = 3.57, CI: 1.10-11.56)、6-9个月的食物充足(AOR = 1.94, CI: 1.01-3.75)、饮酒习惯(AOR = 8.46, CI: 5.28-13.55)、朋友饮酒史(AOR = 2.16, CI: 1.19-3.94)和亲密伴侣饮酒史(AOR = 2.16, CI: 1.30-3.75)与AUD呈正相关。结论:近三分之一的受访者经历过澳元,其因素包括年龄、性别、种族、居住状况、宗教、家庭类型、教育、职业、自己土地上的食物充足程度、个人饮酒习惯和社会关系。因此,本研究建议在初级卫生保健中进行筛查和治疗,强调卫生保健工作者的政府导向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Prevalence and Factors Associated With Alcohol Use Disorder Among People Attending Primary Health Care Facilities in Rupandehi District, Nepal.

Prevalence and Factors Associated With Alcohol Use Disorder Among People Attending Primary Health Care Facilities in Rupandehi District, Nepal.

Background: Alcohol use disorder (AUD) is a global public health issue, impacting individuals physiologically, socially, and mentally. Limited studies were conducted to explore associated factors in Nepal. This study aims to assess AUD prevalence and associated factors among people attending primary healthcare services in Rupandehi, Nepal.

Methods: An institutional-based cross-sectional study was conducted among 688 individuals attending primary healthcare facilities of Rupandehi district, Nepal, using multistage probability sampling technique. The study utilized validated AUD identification test (AUDIT) in its Nepali version for screening AUD. To assess relationships between dependent and independent variables, bivariate analysis was initially conducted. Variables that showed significant association with dependent variable having p value < 0.05 were then included in a multivariate logistic regression model to identify final associated factors.

Results: The prevalence of AUD was 30.8% (CI: 27.4-34.4). About 62.8% are in low risk, 26.7% higher risk, 5.1% harmful and hazardous, and 5.4% in alcohol dependence. Respondents aged ≥ 50 years (adjusted odds ratio [AOR] = 0.26, CI: 0.11-0.61), female (AOR = 0.14, CI: 0.07-0.28), non-Hindu (AOR = 0.05, CI: 0.01-0.43), ≥ SLC education (AOR = 0.16, CI: 0.08-0.31) were negatively associated with AUD. Whereas, Newar (AOR = 4.10, CI: 1.00-16.88), rural areas (AOR = 1.57, CI: 1.02-2.42), joint family (AOR = 1.58, CI: 1.05-2.37), daily wages (AOR = 3.57, CI: 1.10-11.56), food sufficiency of 6-9 months (AOR = 1.94, CI: 1.01-3.75), habit of alcohol (AOR = 8.46, CI: 5.28-13.55) friends' history of alcohol (AOR = 2.16, CI: 1.19-3.94) and intimate partners' history of alcohol (AOR = 2.16, CI: 1.30-3.75) were positively associated with AUD.

Conclusions: Nearly one-third of the respondents' experiences AUD, with factors including age, sex, ethnicity, residential status, religion, family type, education, occupation, food sufficiency from own land, personal alcohol habits, and social connections. Hence, this study recommends screening and treatment in primary healthcare, emphasizing government orientation for healthcare workers.

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Global Health Epidemiology and Genomics
Global Health Epidemiology and Genomics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
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