ANALYSES OF HEALTH MAINTENANCE BEHAVIOR OF OLDER PEOPLE

拟议研究项目的目的是表征电流 老年人保健活动的水平，并努力 确定观察到的变异性的重要来源。概念 在这项研究中使用的框架开发假设，五套 变量可能影响健康维护活动的水平： 健康信念和态度，社会人口因素，保险范围， 社会支持和个人健康状况。两种健康 检查维护行为，使用预防性卫生服务， 个人健康实践。具体目标是解决以下问题 问题：（1）老年人健康维护行为的指标 人的一维;（2）是健康维护行为的水平， 老年人与年轻的成年人年龄组相当;（3）健康 与老年人健康状况相关的维护行为;（4） 健康维护活动是否因性别、年龄、社会阶层和种族而异 和种族背景;（5）提出的概念模型 解释老年人健康维护行为的可变性; 以及（6）研究结果对健康的影响是什么 针对老年人的教育运动。三个数据来源 将用于研究。一个样本，1990年NHIS/DPHP，包括N=9464 60岁及以上的人。 其中第二个样本由 N=3394名成年人参加了1986年的一项全国性研究 （美国人改变生活）第三个研究样本包含N= 36，409人 1987年参加全国医疗支出调查。的 后两个样本由复杂的多阶段概率设计产生 他们对60岁以上的人和少数老年人进行了过度抽样。解析 技术将包括一些相关的方法，包括LISREL （结构方程）分析替代因果模型。

The purpose of the proposed research project is to characterize current levels of health maintenance activity of older persons and to attempt to identify significant sources of observed variability. The conceptual framework developed for use in this study hypothesizes that five sets of variables potentially influence levels of health maintenance activity: health beliefs and attitudes, sociodemographic factors, insurance coverage, social support and the individual's health status. Two types of health maintenance behavior are examined, use of preventive health services and personal health practices. The specific aims are to address the following issues: (1) are the indicators of health maintenance behavior of older persons unidimensional; (2) are levels of health maintenance behavior among older persons comparable to younger adult age groups; (3) is health maintenance behavior related to the health status of older persons; (4) does health maintenance activity vary by gender, age, social class and race and ethnic background; (5) how well does the proposed conceptual model account for variability in health maintenance behavior among older people; and (6) what are the implications of the study's findings for health education campaigns directed toward older persons. Three sources of data will be used in the study. One sample, the 1990 NHIS/DPHP, includes N=9464 persons aged 60 and over. The second of these samples is comprised of N=3394 adults who participated in the 1986 phase of a national study (Americans' Changing Lives). A third study sample contains N=36,409 persons who participated in the National Medical Expenditures Survey in 1987. The latter two samples resulted from complex multi-stage probability designs and they oversampled persons 60+ and minority elderly individuals. Analytic techniques will include a number of related methods including LISREL (structural equations) analyses of alternative causal models.