Michalak Laurence, Trocki Karen, Bond Jason
Alcohol Research Group, Public Health Institute, 6475 Christie Avenue, Suite 400, Emeryville, CA 94608, USA.
Drug Alcohol Depend. 2007 Mar 16;87(2-3):268-80. doi: 10.1016/j.drugalcdep.2006.07.013. Epub 2006 Sep 20.
This paper examines the relative importance of three religion variables (religious preference, religiosity, and alcohol proscription) and eight demographic variables (gender, ethnicity, education, income, marital status, age, region, and employment status) as statistical predictors of drinking versus abstention and moderate versus heavy drinking.
Data from 7370 telephone interviews from the 2000 National Alcohol Survey are analyzed using bivariate cross-tabulations and multiple logistic regression.
When analyzed by religious preference groups, the NAS showed diverse patterns of abstention and drinking that suggest that religion variables are important for drinking behaviors. It was found that the religion variables are strongly associated with abstention. For statistical prediction of heavy versus moderate drinking, religion variables significantly improve model fit but are secondary to gender and age.
Religion variables are important for drinking patterns, especially abstention. The relationship of religion to lower levels of alcohol abuse merits further study, such as investigating religious denominations with healthy patterns of abstention and moderate drinking, to learn how these norms are initiated and maintained. Such knowledge has promise of application in programs for prevention and treatment of alcohol problems.
本文考察三个宗教变量(宗教偏好、宗教虔诚度和饮酒禁忌)以及八个人口统计学变量(性别、种族、教育程度、收入、婚姻状况、年龄、地区和就业状况)作为饮酒与戒酒以及适度饮酒与重度饮酒的统计预测指标的相对重要性。
使用双变量交叉表和多元逻辑回归分析来自2000年全国酒精调查的7370次电话访谈数据。
按宗教偏好群体进行分析时,全国酒精调查显示出不同的戒酒和饮酒模式,这表明宗教变量对饮酒行为很重要。研究发现宗教变量与戒酒密切相关。对于重度饮酒与适度饮酒的统计预测,宗教变量显著改善了模型拟合,但仅次于性别和年龄。
宗教变量对饮酒模式很重要,尤其是戒酒。宗教与较低程度酒精滥用之间的关系值得进一步研究,比如调查具有健康戒酒和适度饮酒模式的宗教教派,以了解这些规范是如何形成和维持的。此类知识有望应用于酒精问题的预防和治疗项目。