ANALYSES OF HEALTH MAINTENANCE BEHAVIOR OF OLDER PEOPLE

拟议的研究项目的目的是描述海流的特征 老年人的保健活动水平，并试图 确定观察到的可变性的重要来源。概念性 为在本研究中使用而开发的框架假设 变量可能会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、 社会支持和个人的健康状况。两种类型的健康 检查维护行为，使用预防性卫生服务和 个人健康实践。具体目标是解决以下问题 问题：(1)是老年人养生行为的指标 人的单向度；(2)健康维持行为水平 老年人可与年轻成人年龄组相媲美；(3)健康 (四)与老年人健康状况有关的赡养行为； 保健活动是否因性别、年龄、社会阶层和种族而异 和种族背景；(5)提出的概念模型做得如何 解释老年人健康维护行为的可变性； 以及(6)这项研究的发现对健康有什么影响 针对老年人的教育运动。三个数据来源 将在研究中使用。一个样本，1990 NHIS/DPHP，包括N=9464 60岁及以上人士。这些样本中的第二个包括 N=3394名成年人，他们参加了1986年的一项全国性研究 《美国人的改变生活》。第三个研究样本包含N=36,409人 世卫组织参加了1987年的全国医疗费用调查。这个 后两个样本来自复杂的多阶段概率设计 他们对60岁以上的人和少数族裔老年人进行了过度抽样。分析 技术将包括许多相关方法，包括LISREL (结构方程)可供选择的因果模型分析。

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.