Prevalence of metabolic syndrome among apparently healthy adult population in Pakistan: a systematic review and meta-analysis
Abstract
Background: Metabolic syndrome (MetS) is considerably higher worldwide. It varies greatly in different populations geographically and based on criteria used to diagnose the disease. This review was conducted to determine the prevalence of MetS among apparently healthy adults of Pakistan. A systematic review was performed on Medline/PubMed, SCOPUS, ScienceDirect, Google Scholar, and Web of Science databases until July 2022. Articles published on Pakistani healthy adult population reporting MetS were included. Pooled prevalence was reported with 95% confidence interval (CI). Of 440 articles, 20 articles met the eligibility. Results: The pooled prevalence of MetS was 28.8% (95% CI: 17.8–39.7). The maximum prevalence was from a sub-urban village of Punjab (68%, 95% CI: 66.6–69.3) and Sindh province (63.7%, 95% CI: 61.1–66.3). International Diabetes Federation guidelines had shown 33.2% (95% CI: 18.5–48.0) whereas National Cholesterol Education Program guidelines showed 23.9% (95% CI: 8.0–39.8) prevalence of MetS. Furthermore, individuals with low high-density lipoprotein (HDL) 48.2% (95% CI: 30.8–65.6), central obesity 37.1% (95% CI: 23.7–50.5), and high triglyceride 35.8% (95% CI: 24.3–47.3) showed higher prevalence. Conclusion: A considerably higher prevalence of MetS was observed among apparently healthy individuals in Pakistan. High triglyceride, low HDL, and central obesity were found as significant risk factors. (Registration # CRD42022335528)Citation
Adil SO, Islam MA, Musa KI, & Shafique K (2023) Prevalence of metabolic syndrome among apparently healthy adult population in Pakistan: a systematic review and meta-analysis, Healthcare 11 (4), Article no. 531. https://doi.org/10.3390/healthcare11040531Publisher
MDPI AGJournal
Healthcare (Switzerland)PubMed ID
36833064 (pubmed)Additional Links
https://www.mdpi.com/2227-9032/11/4/531Type
Journal articleLanguage
enDescription
© 2023 The Authors. Published by MDPI. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.3390/healthcare11040531ISSN
2227-9032EISSN
2227-9032Sponsors
The Article Processing Charge (APC) payment comes from the Probability of Cardiovascular Disease and Assessing the Predictive Effect of Job Stress on CVD Risk: A Study Among Healthcare Providers Using the Framingham and Globorisk Scores Research Universiti Grant (RUI Number: 1001/PPSP/8012359), Universiti Sains Malaysia.ae974a485f413a2113503eed53cd6c53
10.3390/healthcare11040531
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Except where otherwise noted, this item's license is described as Licence for published version: Creative Commons Attribution 4.0 International
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