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Metabolic syndrome among psychiatric outpatients with mood and anxiety disorders

BACKGROUND: Few studies have simultaneously compared the impacts of pharmacotherapy and mental diagnoses on metabolic syndrome (MetS) among psychiatric outpatients with mood and anxiety disorders. This study aimed to investigate the impacts of pharmacotherapy and mental diagnoses on MetS and the pre...

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Autores principales: Hung, Ching-I, Liu, Chia-Yih, Hsiao, Mei-Chun, Yu, Nan-Wen, Chu, Chun-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4079179/
https://www.ncbi.nlm.nih.gov/pubmed/24952586
http://dx.doi.org/10.1186/1471-244X-14-185
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author Hung, Ching-I
Liu, Chia-Yih
Hsiao, Mei-Chun
Yu, Nan-Wen
Chu, Chun-Lin
author_facet Hung, Ching-I
Liu, Chia-Yih
Hsiao, Mei-Chun
Yu, Nan-Wen
Chu, Chun-Lin
author_sort Hung, Ching-I
collection PubMed
description BACKGROUND: Few studies have simultaneously compared the impacts of pharmacotherapy and mental diagnoses on metabolic syndrome (MetS) among psychiatric outpatients with mood and anxiety disorders. This study aimed to investigate the impacts of pharmacotherapy and mental diagnoses on MetS and the prevalence of MetS among these patients. METHODS: Two-hundred and twenty-nine outpatients (men/women = 85/144) were enrolled from 1147 outpatients with mood and anxiety disorders by systematic sampling. Psychiatric disorders and MetS were diagnosed using the Structured Clinical Interview for DSM-IV-TR and the new International Diabetics Federation definition, respectively. The numbers of antipsychotics, mood stabilizers, and antidepressants being taken were recorded. Logistic regression was used to investigate the impacts of pharmacotherapy and psychiatric diagnoses on MetS. RESULTS: Among 229 subjects, 51 (22.3%) fulfilled the criteria for MetS. The prevalence of MetS was highest in the bipolar I disorder (46.7%) patients, followed by bipolar II disorder (25.0%), major depressive disorder (22.0%), anxiety-only disorders (16.7%), and no mood and/or anxiety disorders (14.3%). The percentages of MetS among the five categories were correlated with those of the patients being treated with antipsychotics and mood stabilizers. Use of antipsychotics and/or mood stabilizers independently predicted a higher risk of MetS after controlling for demographic variables and psychiatric diagnoses. When adding body mass index (BMI) as an independent variable in the regression model, BMI became the most significant factor to predict MetS. CONCLUSION: BMI was found to be an important factor related to MetS. Pharmacotherapy might be one of underlying causes of elevated BMI. The interactions among MetS, BMI, pharmacotherapy, and psychiatric diagnoses might need further research.
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spelling pubmed-40791792014-07-03 Metabolic syndrome among psychiatric outpatients with mood and anxiety disorders Hung, Ching-I Liu, Chia-Yih Hsiao, Mei-Chun Yu, Nan-Wen Chu, Chun-Lin BMC Psychiatry Research Article BACKGROUND: Few studies have simultaneously compared the impacts of pharmacotherapy and mental diagnoses on metabolic syndrome (MetS) among psychiatric outpatients with mood and anxiety disorders. This study aimed to investigate the impacts of pharmacotherapy and mental diagnoses on MetS and the prevalence of MetS among these patients. METHODS: Two-hundred and twenty-nine outpatients (men/women = 85/144) were enrolled from 1147 outpatients with mood and anxiety disorders by systematic sampling. Psychiatric disorders and MetS were diagnosed using the Structured Clinical Interview for DSM-IV-TR and the new International Diabetics Federation definition, respectively. The numbers of antipsychotics, mood stabilizers, and antidepressants being taken were recorded. Logistic regression was used to investigate the impacts of pharmacotherapy and psychiatric diagnoses on MetS. RESULTS: Among 229 subjects, 51 (22.3%) fulfilled the criteria for MetS. The prevalence of MetS was highest in the bipolar I disorder (46.7%) patients, followed by bipolar II disorder (25.0%), major depressive disorder (22.0%), anxiety-only disorders (16.7%), and no mood and/or anxiety disorders (14.3%). The percentages of MetS among the five categories were correlated with those of the patients being treated with antipsychotics and mood stabilizers. Use of antipsychotics and/or mood stabilizers independently predicted a higher risk of MetS after controlling for demographic variables and psychiatric diagnoses. When adding body mass index (BMI) as an independent variable in the regression model, BMI became the most significant factor to predict MetS. CONCLUSION: BMI was found to be an important factor related to MetS. Pharmacotherapy might be one of underlying causes of elevated BMI. The interactions among MetS, BMI, pharmacotherapy, and psychiatric diagnoses might need further research. BioMed Central 2014-06-21 /pmc/articles/PMC4079179/ /pubmed/24952586 http://dx.doi.org/10.1186/1471-244X-14-185 Text en Copyright © 2014 Hung et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research Article
Hung, Ching-I
Liu, Chia-Yih
Hsiao, Mei-Chun
Yu, Nan-Wen
Chu, Chun-Lin
Metabolic syndrome among psychiatric outpatients with mood and anxiety disorders
title Metabolic syndrome among psychiatric outpatients with mood and anxiety disorders
title_full Metabolic syndrome among psychiatric outpatients with mood and anxiety disorders
title_fullStr Metabolic syndrome among psychiatric outpatients with mood and anxiety disorders
title_full_unstemmed Metabolic syndrome among psychiatric outpatients with mood and anxiety disorders
title_short Metabolic syndrome among psychiatric outpatients with mood and anxiety disorders
title_sort metabolic syndrome among psychiatric outpatients with mood and anxiety disorders
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4079179/
https://www.ncbi.nlm.nih.gov/pubmed/24952586
http://dx.doi.org/10.1186/1471-244X-14-185
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