SOCIAL FACTORS IN MEDICATION AND ALCOHOL USE BY THE AGED

老年人吸毒/用药的社会因素没有 在社会老年学研究中接受了广泛的检查。 现有的信息没有集中在这个问题上，也没有 社会功能和社会功能之间可能的相互作用 吸毒或酗酒。这个项目的目标是进行一项 使用三个数据波评估疾病程度的纵向研究 药物/药物和酒精使用，找出致病因素，以及 检查随时间推移的互惠联系。主要分析 解释将围绕以下个人资源模型展开 包括实际和感知的身体健康，主观 对生活质量的评估，包括社会支持和其他 主观调整指标。 自变量的范围包括前面显示的变量 由其他研究人员影响主观适应和社会 功能正常。根据初步的横断面分析， 被认为可以预测后续使用的一系列模型将是 通过第二波数据收集开发和测试 在第一个月之后的12个月内进行。因变量将 包括吸毒和酗酒以及心理社会措施 生活质量变量的数量，并检查 适当的因果顺序。12个月后，第三波 将收集数据以测试改进的模型和互惠 联系。数据分析将利用OLS、Logistic回归和 结构方程模型(LISREL VI)，如适用，至 确定随时间变化的情况。 受试者(N=1000)将从独立生活的老年人中挑选 居住在整个社区的人(N=500)或居住在 大都会地区的12个非个人护理中心 500例。为了适应人口分布，男性将 过采样。每名受试者将接受三次面试， 包括对那些可能因任何原因改变地点的人的后续行动。

Social factors in drug/medication use among the elderly have not received extensive examination in social gerontological research. The information that exists has not focused on this issue nor on the possible reciprocal interaction between social functioning and drug or alcohol usage. The goal of this project is to conduct a longitudinal study using three data waves to assess extent of drug/medication and alcohol use, identify contributing factors, and examine reciprocal linkages over time. The primary analytic explanation will revolve around a personal resource model that includes actual and perceived physical health, subjective assessments of quality of life, including social support, and other indicators of subjective adjustment. The range of independent variables includes those previously shown by other researchers to affect subjective adjustment and social functioning. Based on the initial cross-sectional analyses, a series of models thought to predict subsequent use will be developed and tested through a second wave of data collection undertaken 12 months following the first. Dependent variables will include drug and alcohol usage and psychosocial measures of a number of quality of life variables, with examination of appropriate causal ordering. Twelve months later, a third wave of data will be collected to test refined models and reciprocal linkages. Data analysis will utilize OLS, logistic regression, and structural equation models (LISREL VI), where applicable, to determine change over time. Subjects (N=1000) will be drawn from independently living older persons residing in the community at large (N=500) or in one of the metropolitan area's 12 non-personal care congregate facilities (N=500). To accommodate demographic distributions, males will be oversampled. Each subject will be interviewed three times, including follow-up of those who may change locales for any reason.