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Published in: Community Mental Health Journal 6/2018

01-08-2018 | Original Paper

Socioeconomic Disparities and Metabolic Risk in Veterans with Serious Mental Illness

Authors: Stanley N. Caroff, Shirley H. Leong, Daisy Ng-Mak, E. Cabrina Campbell, Rosalind M. Berkowitz, Krithika Rajagopalan, Chien-Chia Chuang, Antony Loebel

Published in: Community Mental Health Journal | Issue 6/2018

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Abstract

Socioeconomic disparities were assessed in predicting metabolic risk among veterans with serious mental illness. Veterans with schizophrenia, schizoaffective, or bipolar disorders were identified in VISN 4 facilities from 10/1/2010 to 9/30/2012. Differences between patients with and without metabolic syndrome were compared using t-tests, Chi square tests and multivariate logistic regressions. Among 10,132 veterans with mental illness, 48.8% had metabolic syndrome. Multivariate logistic regression analysis confirmed that patients with metabolic syndrome were significantly more likely to be older, male, African-American, married, and receiving disability pensions but less likely to be homeless. They were more likely to receive antipsychotics, antidepressants, or anticonvulsants. Bivariate cross-sectional analysis revealed that patients with metabolic syndrome had higher rates of coronary artery disease, cerebrovascular disease, and mortality, and that metabolic syndrome was more often associated with emergency visits and psychiatric or medical hospitalizations. Demographics, socioeconomic status and medications are independent predictors of metabolic syndrome and should be considered in broader screening of risk factors in order to provide preventive interventions for metabolic syndrome.
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Metadata
Title
Socioeconomic Disparities and Metabolic Risk in Veterans with Serious Mental Illness
Authors
Stanley N. Caroff
Shirley H. Leong
Daisy Ng-Mak
E. Cabrina Campbell
Rosalind M. Berkowitz
Krithika Rajagopalan
Chien-Chia Chuang
Antony Loebel
Publication date
01-08-2018
Publisher
Springer US
Published in
Community Mental Health Journal / Issue 6/2018
Print ISSN: 0010-3853
Electronic ISSN: 1573-2789
DOI
https://doi.org/10.1007/s10597-017-0215-7

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