Estimating the Sex Gap in Depression-Free Life Expectancy Among Widowed Americans Aged 50 and Older: An Application Using the Interpolated Markov Chain Approach.
| Autor: | Feraldi A; Research Group in Labor Demography, Max Planck Institute for Demographic Research, Rostock, Germany.; Department of Statistica Science, Sapienza University of Rome, Rome, Italy., Giudici C; Department of Statistica Science, Sapienza University of Rome, Rome, Italy., Brouard N; Department of Mortality Health and Epidemiology, French Institute for Demographic Studies, Paris, France. |
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| Jazyk: | angličtina |
| Zdroj: | Journal of aging and health [J Aging Health] 2025 Jan; Vol. 37 (1-2), pp. 117-130. Date of Electronic Publication: 2024 Feb 21. |
| DOI: | 10.1177/08982643241233029 |
| Abstrakt: | Objectives: Using Interpolated Markov Chain software, we compare the length of life with and without depression among married individuals and widowers, and the related sex differences. Methods: We applied a multi-state life table approach to estimate depression-free life expectancy among recent cohorts of older married and widowed women and men in the United States, using data from the Health and Retirement Study over a 7-year period (2012-2018). Results: The study revealed that the difference in life expectancy between sexes widens in the context of widowhood. At age 50, the sex gap in depression-free life expectancy is 0.8 years among married people, whereas the gap almost doubles to 1.7 years among widowed people. Discussion: By quantifying disparities in the duration of life affected by depression between married and widowed women and men, policymakers could properly allocate resources specifically to address the mental health needs of these groups. Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
| Databáze: | MEDLINE |
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