Estimating the Sex Gap in Depression-Free Life Expectancy Among Widowed Americans Aged 50 and Older: An Application Using the Interpolated Markov Chain Approach
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21 février 2024
- ISIDORE Id: 10670/1.67b25d...
- hal: hal-04477928
- doi: 10.1177/08982643241233029
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Alessandro Feraldi et al., « Estimating the Sex Gap in Depression-Free Life Expectancy Among Widowed Americans Aged 50 and Older: An Application Using the Interpolated Markov Chain Approach », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1177/08982643241233029
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ObjectivesUsing Interpolated Markov Chain software, we compare the length of life with and without depression among married individuals and widowers, and the related sex differences.MethodsWe 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).ResultsThe 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.DiscussionBy 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.
