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Retrospective Analysis of Metabolic Syndrome: Prevalence and Distribution in Executive Population in Urban Pakistan
- Source :
- International Journal of Family Medicine
- Publication Year :
- 2012
- Publisher :
- Hindawi Limited, 2012.
-
Abstract
- Background. Metabolic Syndrome (MetS) is a major public health concern. Objective. The aim of this study was to estimate the frequency of MetS, its components, and factors associated with MetS amongst apparently healthy individuals in Pakistan. Methods. A retrospective cross-sectional study was conducted at the executive Clinics of Aga Khan Hospital, Pakistan. Medical records of patients aged ≥18 years visiting the clinics from July 2011 to December 2011 were consecutively reviewed. Records in which either MetS components data or 10% of overall data was missing were excluded. A total of 1329 participants’ records was included in final analysis. Data was analyzed using SPSS version 19 and multivariable logistic regression was used to identify the factors associated with MetS. Results. A total of 847 (63.7%) participants had MetS; mean age of the participants were 47.6 ± 11.6 years. About 70.4% were males and 29.6% were females. Approximately 70% of participants had BMI ≥25 kg/m2. MetS was associated with male gender (AOR = 2.1; 95% C.I: 1.6–3.2) and history of diabetes among parents (AOR = 3.0; 95% C.I: 1.6–6.0). Conclusion. This study shows that a large proportion of population has MetS and is overweight or obese. This requires urgent interventions on part of health care providers’ especially family physicians. Educating masses about life style factors can make a difference. Further researches on this issue are warranted.
- Subjects :
- Gerontology
education.field_of_study
medicine.medical_specialty
Article Subject
business.industry
Medical record
Public health
Population
Psychological intervention
Overweight
medicine.disease
Logistic regression
Health care
medicine
Metabolic syndrome
medicine.symptom
education
business
Research Article
Demography
Subjects
Details
- ISSN :
- 20902050 and 20902042
- Volume :
- 2012
- Database :
- OpenAIRE
- Journal :
- International Journal of Family Medicine
- Accession number :
- edsair.doi.dedup.....c5d8e1fdf0c755aec77d93ed00e4d605