1. Medical and social predictors of longevity in the elderly: Total predictive value and interdependence
- Author
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Deeg Dj, J. D. F. Habbema, van der Maas Pj, and van Zonneveld Rj
- Subjects
Male ,Gerontology ,Multivariate statistics ,Longitudinal study ,Health (social science) ,Activities of daily living ,Health Status ,Health Behavior ,Longevity ,Population ,Social support ,History and Philosophy of Science ,Activities of Daily Living ,Health care ,Humans ,education ,Aged ,Netherlands ,Aged, 80 and over ,education.field_of_study ,Models, Statistical ,business.industry ,Social Support ,Regression analysis ,Explained variation ,Socioeconomic Factors ,Regression Analysis ,Female ,business ,Psychology ,Demography - Abstract
In the Dutch Longitudinal Study among the Elderly, a probability sample of 3149 persons from the population of the Netherlands, initial ages 65-99 years, was followed from 1955 for 28 years. Vital status was determined in 1983 for 84% of the original sample. Multivariate regression models were used to predict the realized probability of dying (RPD), a measure of longevity based on actual survival time, sex and age at baseline. Predictor variables included physical, mental and social indicators of health status. The total variance explained was 20.2%. Objective health (rated by the examining physician) showed the strongest relationship with the RPD. Upon removing objective health from the model, 19.5% of the variance remained explained. Separate analyses were performed for (1) bio-medical, physical and mental examination variables, (2) disability and health care use variables, and (3) social and psychological variables; in each case the variance explained was over 11%, demonstrating considerable interdependence among predictors. Across different regression models, bio-medical and disability variables proved to be the most stable predictors of longevity.
- Published
- 1989