Disparities in drinking patterns and risks among ethnic majority and minority groups in China: The roles of acculturation, religion, family and friends

Disparities in drinking patterns and risks among ethnic majority and minority groups in China: The roles of acculturation, religion, family and friends
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DOI:
10.1016/j.drugalcdep.2015.12.028
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发表时间:
2016-02-01
影响因子:
4.2
通讯作者:
McNeil, Edward
McNeil, Edward
中科院分区:
医学2区
文献类型:
--
作者:
He, Jianhui;Assanangkornchai, Sawitri;McNeil, Edward

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目的:调查酒精消费相关因素的研究很少关注文化适应,宗教和饮酒模式之间的关系。本研究的目的是探讨饮酒模式及其相互关系的预测因素,特别是文化适应,种族和religion.Methods:横断面家庭调查,采用多级系统抽样技术在中国云南省进行。采用修订的温哥华文化适应指数(VIA)和酒精使用障碍识别测验(AUDIT)中文版测量文化适应和饮酒模式。采用结构方程模型(SEM)探讨预测因素如何影响饮酒模式的结构。结果:共调查了977名12-35岁的受试者。在傈僳族中,酗酒的比例较高。而饮酒至醉的比例则以汉族最高。性别和文化适应都有直接的(标准化β =-0.193,-0.079)和间接影响(标准化β =-0.126,0.033);饮酒的感知风险(-0.065)、家庭饮酒环境(0.061)、与朋友饮酒环境(0.352)直接影响危险饮酒行为,文化程度对危险饮酒行为有显著影响(0.066),种族(-0.038),文化适应(0.012)、宗教信仰(-0.038),年龄组(0.088)有间接影响。危险饮酒模式与性别及原住民文化涵化有直接或间接的相关,与主流文化的涵化和宗教信仰间接相关。其他人口统计学因素(如教育程度)和社会家庭因素(如朋友饮酒环境)也对危险饮酒模式有影响。(C)2015爱思唯尔爱尔兰有限公司版权所有。
Objective: Studies investigating alcohol consumption related factors have rarely focused on the relationship between acculturation, religion and drinking patterns. The objective of this study is to explore the predictors of drinking patterns and their mutual relationships, especially acculturation, ethnicity and religion.Methods: A cross-sectional household survey using a multistage systematic sampling technique was conducted in Yunnan Province of China. A revised Vancouver Index of Acculturation (VIA) and Alcohol Use Disorder Identification Test (AUDIT) Chinese version were used to measure acculturation and drinking patterns. Structural equation modeling (SEM) was used to explore the structures of how predictors affect drinking patterns.Results: A total of 977 subjects aged 12-35 years were surveyed. A higher percentage of binge drinking was found among Lisu people. However, the proportion of drinking until intoxication was highest among Han. Gender and enculturation had both direct (standardized beta=-0.193, -0.079) and indirect effects (standardized beta=-0.126, 0.033) on risky drinking pattern; perceived risk of alcohol consumption (-0.065), family drinking environment (0.061), and friend drinking environment (0.352) affected risky drinking pattern directly, while education level (0.066), ethnicity (-0.038), acculturation (0.012), religious belief (-0.038), and age group (0.088) had indirect effects.Conclusion: Risky drinking pattern was associated with gender and aboriginal culture enculturation both directly and indirectly, and related to mainstream culture acculturation and religious belief indirectly. Other demographic (such as education level) and social family factors (friend drinking environment for example) also had effects on risky drinking pattern. (C) 2015 Elsevier Ireland Ltd. All rights reserved.