SynthesisPreventing chronic disease2022
Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies.
Synthesis in Preventing chronic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Trends in prevalence of type 2 diabetes, obesity, and hypertension in urban India since 2000: a systematic review and meta-analysis.Epidemiologic reviews · 2026Pooled it
- Modifiable Determinants of Metabolic Syndrome in Middle-Aged Adults: A Cross-Sectional Analysis of a Nationally Representative Health Survey.Nursing research and practice · 2026Article
- Galectin-1, Adiponectin, Leptin, and the Adiponectin to Leptin Ratio as Predictors of Metabolic Syndrome: Influence of Age and Body Mass Index.BioMed research international · 2026Article
- Relationships between metabolic syndrome and lifestyle factors: a retrospective cohort study in Japan.Preventive medicine reports · 2025Article
- Predictors of Metabolic Syndrome in Polish Women-The Role of Body Composition and Sociodemographic Factors.Journal of clinical medicine · 2025Article
- Age-Related Differences in Anthropometric and Lifestyle Factors Linked to Metabolic Syndrome in Women with Overweight and Obesity: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Correlation Between the Levels of Fasting and Postprandial ApoB48 with Metabolic Syndrome: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- The synergistic impact of sleep duration and obesity on metabolic syndrome risk: exploring the role of microRNAs.BioImpacts : BI · 2025Article
- Interaction of CETP rs708272 Polymorphism on Trans Fatty Acid Intake and Glucose Metabolism Markers.Nutrients · 2024Article
- Article
- Development of a User-Friendly Self-Screening Tool for Assessing Metabolic Syndrome Risk in Youths from Economically Challenged Regions.Journal of personalized medicine · 2024Article
- Advances in oligosaccharides production from brown seaweeds: extraction, characterization, antimetabolic syndrome, and other potential applications.Bioengineered · 2023Review
- Burden, determinants and treatment status of metabolic syndrome among older adults in India: a nationally representative, community-based cross-sectional survey.BMJ public health · 2023Article
- Association between Serum Vitamin D and Metabolic Syndrome in a Sample of Adults in Lebanon.Nutrients · 2023Article
- Obesity and Its Association with Undiagnosed Diabetes Mellitus, High Blood Pressure and Hypercholesterolemia in the Malaysian Adult Population: A National Cross-Sectional Study Using NHMS Data.International journal of environmental research and public health · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSeveral 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.
methodsWe 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.
resultsWe 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.
conclusionOverweight 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.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.