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Socioeconomic Disparities and Metabolic Risk in Veterans with Serious Mental Illness.
Caroff, Stanley N; Leong, Shirley H; Ng-Mak, Daisy; Campbell, E Cabrina; Berkowitz, Rosalind M; Rajagopalan, Krithika; Chuang, Chien-Chia; Loebel, Antony.
Afiliação
  • Caroff SN; Behavioral Health Service, Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education and Clinical Center (MIRECC), Corporal Michael J. Crescenz Veterans Affairs Medical Center and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA. s
  • Leong SH; , 242 Hedgeman Road, Moorestown, NJ, 08057, USA. sncaroff@comcast.net.
  • Ng-Mak D; Behavioral Health Service, Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education and Clinical Center (MIRECC), Corporal Michael J. Crescenz Veterans Affairs Medical Center and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Campbell EC; Sunovion Pharmaceuticals Inc., Marlborough, MA, 01752, USA.
  • Berkowitz RM; Behavioral Health Service, Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education and Clinical Center (MIRECC), Corporal Michael J. Crescenz Veterans Affairs Medical Center and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Rajagopalan K; Behavioral Health Service, Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education and Clinical Center (MIRECC), Corporal Michael J. Crescenz Veterans Affairs Medical Center and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Chuang CC; Sunovion Pharmaceuticals Inc., Marlborough, MA, 01752, USA.
  • Loebel A; Vertex Pharmaceuticals Inc., Boston, MA, 02210, USA.
Community Ment Health J ; 54(6): 725-734, 2018 08.
Article em En | MEDLINE | ID: mdl-29285684
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esquizofrenia / Transtorno Bipolar / Síndrome Metabólica Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Community Ment Health J Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esquizofrenia / Transtorno Bipolar / Síndrome Metabólica Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Community Ment Health J Ano de publicação: 2018 Tipo de documento: Article