Literature DB >> 24167198

Short- and long-term associations between widowhood and mortality in the United States: longitudinal analyses.

J Robin Moon1, M Maria Glymour2, Anusha M Vable2, Sze Y Liu2, S V Subramanian2.   

Abstract

BACKGROUND: Past research shows that spousal death results in elevated mortality risk for the surviving spouse. However, most prior studies have inadequately controlled for socioeconomic status (SES), and it is unclear whether this 'widowhood effect' persists over time.
METHODS: Health and Retirement Study participants aged 50+ years and married in 1998 (n = 12 316) were followed through 2008 for widowhood status and mortality (2912 deaths). Discrete-time survival analysis was used to compare mortality for the widowed versus the married.
RESULTS: Odds of mortality during the first 3 months post-widowhood were significantly higher than in the continuously married (odds ratio (OR) for men = 1.87, 95% CI: 1.27, 2.75; OR for women = 1.47, 95% CI: 0.96, 2.24) in models adjusted for age, gender, race and baseline SES (education, household wealth and household income), behavioral risk factors and co-morbidities. Twelve months following bereavement, men experienced borderline elevated mortality (OR = 1.16, 95% CI: 1.00, 1.35), whereas women did not (OR = 1.07, 95% CI: 0.90, 1.28), though the gender difference was non-significant.
CONCLUSION: The 'widowhood effect' was not fully explained by adjusting for pre-widowhood SES and particularly elevated within the first few months after widowhood. These associations did not differ by sex.
© The Author 2013. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  longitudinal studies; mortality; socioeconomic status; spousal loss; widowhood

Mesh:

Year:  2013        PMID: 24167198      PMCID: PMC4181424          DOI: 10.1093/pubmed/fdt101

Source DB:  PubMed          Journal:  J Public Health (Oxf)        ISSN: 1741-3842            Impact factor:   2.341


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