Incidence of metabolic syndrome in rural pre-menopausal women and associated risk factors

Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies

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 should implement weight reduction strategies among patients and the general population.

Association between behavioural risk factors and metabolic syndrome among adult population in India: A systematic review and meta-analysis of observational studies

AIMS

The impact of behavioural risk factors on the metabolic syndrome has not been well understood by the researchers. This information is important to the policymakers for developing effective strategies and implement relevant policies or programs. Hence, we undertook this meta-analysis to estimate the effect of behavioural risk factors on the burden of metabolic syndrome.

DATA SYNTHESIS

We conducted a search in the databases, such as PubMed Central, EMBASE, MEDLINE, and Cochrane library, and search engines, such as ScienceDirect and Google Scholar, from inception until March 2021. We used the Newcastle-Ottawa Scale (NOS) to assess the quality of published studies. We carried out a meta-analysis with random-effects model and reported pooled odds ratio (OR) with 95% confidence interval (CI). In total, we analysed 30 studies with 41,090 participants. The majority of the studies had good to satisfactory quality as per NOS. Physical activity had a statistically significant association with the prevalence of metabolic syndrome (pooled OR = 1.57; 95%CI: 1.28 to 1.93, I² = 91%). However, smoking (pooled OR = 0.96; 95%CI: 0.75 to 1.23, I² = 90.5%) and alcohol (pooled OR = 1.00; 95%CI: 0.75 to 1.33, I² = 90.8%) did not reveal a statistically significant association with the burden of metabolic syndrome.

CONCLUSION

Physical inactivity was found to be a significant risk factor for metabolic syndrome. Given the evidence, it is important that the clinicians and policymakers are alike to recommend regular physical activity among the patients and general population.