Estimating the Sex Gap in Depression-Free Life Expectancy Among Widowed Americans Aged 50 and Older: An Application Using the Interpolated Markov Chain Approach.

TitleEstimating the Sex Gap in Depression-Free Life Expectancy Among Widowed Americans Aged 50 and Older: An Application Using the Interpolated Markov Chain Approach.
Publication TypeJournal Article
Year of PublicationForthcoming
AuthorsFeraldi, A, Giudici, C, Brouard, N
JournalJournal of Aging and Health
Pagination8982643241233029
ISSN Number1552-6887
Keywordsdepression-free life expectancy, multi-state life tables, Sex differences, Widowhood
Abstract

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.

DOI10.1177/08982643241233029
Citation Key13780
PubMed ID38380998