Are There Spillover Effects from the GI Bill? The Mental Health of Wives of Korean War Veterans.

TitleAre There Spillover Effects from the GI Bill? The Mental Health of Wives of Korean War Veterans.
Publication TypeJournal Article
Year of Publication2016
AuthorsVable, AM, Kawachi, I, Canning, D, M. Glymour, M, Jimenez, MP, Subramanian, SV
JournalPLoS One
Volume11
Issue5
Paginatione0154203
Date Published2016
ISSN Number1932-6203
KeywordsAdult, Aged, depression, Female, Humans, Korean War, Male, Mental Disorders, Mental Health, Middle Aged, Odds Ratio, Population Surveillance, Social Class, Spouses, Veterans, Veterans Health
Abstract

BACKGROUND: The Korean War GI Bill provided economic benefits for veterans, thereby potentially improving their health outcomes. However potential spillover effects on veteran wives have not been evaluated.

METHODS: Data from wives of veterans eligible for the Korean War GI Bill (N = 128) and wives of non-veterans (N = 224) from the Health and Retirement Study were matched on race and coarsened birth year and childhood health using coarsened exact matching. Number of depressive symptoms in 2010 (average age = 78) were assessed using a modified, validated Center for Epidemiologic Studies-Depression Scale. Regression analyses were stratified into low (mother < 8 years schooling / missing data, N = 95) or high (mother ≥ 8 years schooling, N = 257) childhood socio-economic status (cSES) groups, and were adjusted for birth year and childhood health, as well as respondent's educational attainment in a subset of analyses.

RESULTS: Husband's Korean War GI Bill eligibility did not predict depressive symptoms among veteran wives in pooled analysis or cSES stratified analyses; analyses in the low cSES subgroup were underpowered (N = 95, β = -0.50, 95% Confidence Interval: (-1.35, 0.35), p = 0.248, power = 0.28).

CONCLUSIONS: We found no evidence of a relationship between husband's Korean War GI Bill eligibility and wives' mental health in these data, however there may be a true effect that our analysis was underpowered to detect.

URLhttps://www.ncbi.nlm.nih.gov/pubmed/27186983
DOI10.1371/journal.pone.0154203
User Guide Notes

http://www.ncbi.nlm.nih.gov/pubmed/27186983?dopt=Abstract

Alternate JournalPLoS ONE
Citation Key8548
PubMed ID27186983
PubMed Central IDPMC4871362
Grant ListT32 HD007338 / HD / NICHD NIH HHS / United States
DP2 MD010478 / MD / NIMHD NIH HHS / United States