Factors associated with metabolic syndrome in patients with mental disorders in Mexico
Lina Diaz-Castro1*,Kurt L. Hoffman1,Hector Cabello-Rangel2 and Armando Arredondo3
Affiliation
- 1Psychiatrist, MBA in Health Systems,Ministry of Health, Psychiatric Hospital "Fray Bernardino Alvarez" Mexico, DF
- 2Biology-Neuroscience. Centre for Research in Animal Reproduction (CIRA), the Autonomous University of Tlaxcala, CINVESTAV
- 3Doctor of Science in Health Systems, Researcher F. Research Centre in Health Systems, National Institute of Public Health, Cuernavaca, Morelos
Corresponding Author
Lina Díaz-Castro, Psychiatrist, Master in Public Health, Ministry of Health, Psychiatric Hospital “Fray Bernardino Álvarez” Mexico, DF Tel: 1+52 (55) 23005632; E-mail: dralaindiaz@hotmail.com
Citation
Díaz-Castro, L., et al. Factors Associated with Metabolic Syndrome in Patients with Mental Disorders in Mexico (2014) J Diabetes Obes 1(1): 21-26.
Copy rights
© 2014 Díaz-Castro L. This is an Open access article distributed under the terms of Creative Commons Attribution 4.0 International License.
Keywords
Abstract
Background: Metabolic syndrome (MS) is a public health problem globally and nationally, with a prevalence of up to 26%; associated with mental disorders, the magnitude and chronicity may be increased.
Methods: We carried out a clinical, cross sectional study of a secondary database of patients (n = 216) with mental illness. We used descriptive analysis, bivariate analysis and a logistic regression model with STATA software in order to define factors associated with MS.
Results: The prevalence of MS was 28.7%. Raw odds ratios (OR) indicated a significant association between MS and gender (women), weight (being overweight or obese), a family history of obesity, a sedentary lifestyle, and age (above 35 years old). When adjusted for all other variables, only gender (OR 4, 23), weight (OR 1.07) and age (OR 2.31) remained significantly associated with MS. Notably, none of the mental health-related variables were significantly associated with MS.
Conclusions: Within this population, being female and over 35 years old were the most important risk factors for MS. In future studies, it will be important to determine how variables related to mental health might interact with gender, age, and metabolic and cardiovascular variables, in order to define a risk profile for patients with mental disorders.
