Elderly health beliefs, attitudes, and maintenance. 1992

J Jensen, and M A Counte, and G L Glandon
Gottlieb Memorial Hospital, Melrose Park, Illinois 60160.

BACKGROUND Why older persons engage in varying amounts of health maintenance activity is becoming both an increasingly important policy issue and a topic of interest to health services researchers. Such activity may help the elderly to delay the onset of the health-related problems associated with aging, maintain if not improve their functional abilities, and perhaps improve their quality of life. METHODS Using a conceptual model largely based upon the health belief model, this study sought to examine predictors of variability of health maintenance activity among older persons. The project included cross-sectional data drawn from the first phase of a multiyear panel study of elderly community residents. RESULTS Results of ordinary least-squares and logistic regression analyses of seven types of health maintenance activity suggest that health beliefs are an important consideration but that other variables, namely, type of insurance plan and select sociodemographic factors, also had significant impacts. Another consistent finding was that each of the types of health maintenance activity was associated with different types of predictor variables. CONCLUSIONS These findings suggest that in order for levels of health maintenance activity to be increased, intervention programs need to be targeted toward specific types of health beliefs and need to take into account the importance of social differences.

UI MeSH Term Description Entries
D007087 Illinois State bounded on the north by Wisconsin, on the east by Lake Michigan, Indiana, and Kentucky, on the west by Missouri and Iowa, and on the south by Kentucky.
D008297 Male Males
D011314 Preventive Health Services Services designed for HEALTH PROMOTION. Health Services, Preventive,Preventive Health,Preventive Health Care,Preventive Health Programs,Preventive Programs,Services, Preventive Health,Care, Preventive Health,Health Care, Preventive,Health Program, Preventive,Health Programs, Preventive,Health Service, Preventive,Health, Preventive,Preventive Health Program,Preventive Health Service,Preventive Program,Program, Preventive,Program, Preventive Health,Programs, Preventive,Programs, Preventive Health,Service, Preventive Health
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females
D006279 Health Maintenance Organizations Organized systems for providing comprehensive prepaid health care that have five basic attributes: (1) provide care in a defined geographic area; (2) provide or ensure delivery of an agreed-upon set of basic and supplemental health maintenance and treatment services; (3) provide care to a voluntarily enrolled group of persons; (4) require their enrollees to use the services of designated providers; and (5) receive reimbursement through a predetermined, fixed, periodic prepayment made by the enrollee without regard to the degree of services provided. (From Facts on File Dictionary of Health Care Management, 1988) Group Health Organizations, Prepaid,HMO,Prepaid Group Health Organizations,Health Maintenance Organization,Organizations, Health Maintenance,Organization, Health Maintenance
D006293 Health Promotion Encouraging consumer behaviors most likely to optimize health potentials (physical and psychosocial) through health information, preventive programs, and access to medical care. Health Campaigns,Promotion of Health,Wellness Programs,Promotional Items,Campaign, Health,Campaigns, Health,Health Campaign,Health Promotions,Item, Promotional,Items, Promotional,Program, Wellness,Programs, Wellness,Promotion, Health,Promotional Item,Promotions, Health,Wellness Program
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age

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