Abstract
Researchers have had a longstanding interest in understanding the determinants of mortality. This article examines the impact of a broad array of biological markers, together with self-reports of physical and mental health status, on the probability of dying for older adults. The estimates are derived from logistic regression models based on data from a national survey in Taiwan. The analysis confirms previous studies demonstrating the effects of clinical measures related to metabolic syndrome on mortality and identifies detrimental effects of neuroendocrine and immune-system markers. The results reveal that biomarkers provide independent explanatory power in the presence of self-reported health measures. The associations between biomarkers and mortality found here provide new avenues for projecting future mortality and elucidating differences in longevity across populations.
Original language | English (US) |
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Pages (from-to) | 675-698 |
Number of pages | 24 |
Journal | Population and Development Review |
Volume | 31 |
Issue number | 4 |
DOIs | |
State | Published - Dec 2005 |
All Science Journal Classification (ASJC) codes
- Demography
- Development
- Sociology and Political Science