Literature DB >> 20966446

Marital loss, mental health and the role of perceived social support: findings from six waves of an Australian population based panel study.

Belinda Hewitt1, Gavin Turrell, Katrina Giskes.   

Abstract

OBJECTIVES: To investigate the impact of transitions out of marriage (separation, widowhood) on the self reported mental health of men and women, and examine whether perceptions of social support play an intervening role.
METHODS: The analysis used six waves (2001-06) of an Australian population based panel study, with an analytical sample of 3017 men and 3225 women. Mental health was measured using the MHI-5 scale scored 0-100 (α=0.97), with a higher score indicating better mental health. Perceptions of social support were measured using a 10-item scale ranging from 10 to 70 (α=0.79), with a higher score indicating higher perceived social support. A linear mixed model for longitudinal data was used, with lags for marital status, mental health and social support.
RESULTS: After adjustment for social characteristics there was a decline in mental health for men who separated (-5.79 points) or widowed (-7.63 points), compared to men who remained married. Similar declines in mental health were found for women who separated (-6.65 points) or became widowed (-9.28 points). The inclusion of perceived social support in the models suggested a small mediation effect of social support for mental health with marital loss. Interactions between perceived social support and marital transitions showed a strong moderating effect for men who became widowed. No significant interactions were found for women.
CONCLUSION: Marital loss significantly decreased mental health. Increasing, or maintaining, high levels of social support has the potential to improve widowed men's mental health immediately after the death of their spouse.

Entities:  

Mesh:

Year:  2010        PMID: 20966446     DOI: 10.1136/jech.2009.104893

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


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