Estimating the Sex Gap in Depression-Free Life Expectancy Among Widowed Americans Aged 50 and Older: An Application Using the Interpolated Markov Chain Approach - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Aging and Health Année : 2024

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

Alessandro Feraldi
  • Fonction : Auteur
Cristina Giudici
  • Fonction : Auteur

Résumé

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.
Fichier principal
Vignette du fichier
Feraldi-etal_estimating-the-sex-gap-in-depression-free-life-expectancy_JAH_2024.pdf (941.55 Ko) Télécharger le fichier
Origine : Accord explicite pour ce dépôt

Dates et versions

hal-04477928 , version 1 (26-02-2024)

Licence

Paternité

Identifiants

Citer

Alessandro Feraldi, Cristina Giudici, Nicolas Brouard. Estimating the Sex Gap in Depression-Free Life Expectancy Among Widowed Americans Aged 50 and Older: An Application Using the Interpolated Markov Chain Approach. Journal of Aging and Health, 2024, Online First, pp.1-14. ⟨10.1177/08982643241233029⟩. ⟨hal-04477928⟩
10 Consultations
1 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More