Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies
Krishnamoorthy Y., Rajaa S., Murali S., Sahoo J., Kar SS.
Meta-analysis with a reported sample of 965, published in Prev Chronic Dis (2022) — summary generated from the PubMed abstract.
Relatively higher-quality human studies compared with other topics in this database, e.g. multiple RCTs or systematic reviews. This does not mean it is standard or approved care.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Meta-analysis
- Journal
- Prev Chronic Dis (2022)
- Reported sample size
- 965
- Source database
- Europe PMC
- PMID
- 35512304
- PMCID
- PMC9109643
- DOI
- 10.5888/pcd19.210231
- Citations
- 15
Abstract (original English)
Introduction Several studies have explored the effect of anthropometric risk factors on metabolic syndrome. However, no systematic effort has explored the effect of overweight and obesity on the prevalence of metabolic syndrome in India. Thus, we undertook a meta-analysis to estimate the effect of anthropometric risk factors on the prevalence of metabolic syndrome. Methods We searched databases PubMed Central, EMBASE, MEDLINE, and Cochrane library and search engines ScienceDirect and Google Scholar, from January 1964 through March 2021. We used the Newcastle-Ottawa scale to assess the quality of published studies, conducted a meta-analysis with a random-effects model, and reported pooled odds ratios (OR) with 95% CIs. Results We analyzed 26 studies with a total of 37,965 participants. Most studies had good to satisfactory quality on the Newcastle-Ottawa scale. Participants who were overweight (pooled OR, 5.47; 95% CI, 3.70-8.09) or obese (pooled OR, 5.00; 95% CI, 3.61-6.93) had higher odds of having metabolic syndrome than those of normal or low body weight. Sensitivity analysis showed no significant variation in the magnitude or direction of outcome, indicating the lack of influence of a single study on the overall pooled estimate. Conclusion Overweight and obesity are significantly associated with metabolic syndrome. On the basis of evidence, clinicians and policy makers shou
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
Evidence level
Relatively higher-quality human studies compared with other topics in this database, e.g. multiple RCTs or systematic reviews. This does not mean it is standard or approved care.
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