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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Prevalence And Predictors of Metabolic Syndrome Among Adults at A Tertiary Care Centre

Authors: Dr. Rudra Reddy;

Prevalence And Predictors of Metabolic Syndrome Among Adults at A Tertiary Care Centre

Abstract

Background: Metabolic syndrome (MetS) is an important predictor of cardiovascular disease and type 2 diabetes. Its prevalence is rising in India due to rapid lifestyle transitions. Aim: To estimate the prevalence and identify predictors of MetS among adults attending a tertiary care centre, and to compare metabolic parameters with expected normal values. Materials and Methods: A cross-sectional study was conducted among 400 adults aged ≥18 years. Data on sociodemographic factors, anthropometry, blood pressure, and fasting biochemical parameters were collected. MetS was diagnosed using NCEP-ATP III criteria. Expected normal values included waist circumference 40 mg/dL (men) / >50 mg/dL (women). Logistic regression identified independent predictors. Results: The prevalence of MetS was 31.8%. Abnormal component frequencies were: increased waist circumference (44%), low HDL (41%), elevated BP (36%), high triglycerides (32%), and elevated fasting glucose (28%). Significant predictors of MetS included age >45 years (AOR 2.6), BMI ≥25 kg/m² (AOR 3.2), physical inactivity (AOR 2.1), and family history of diabetes (AOR 1.8). Conclusion: Metabolic syndrome is common among adults at a tertiary care centre. Obesity, advancing age, sedentary lifestyle, and family history of diabetes are key predictors. Early screening and targeted lifestyle interventions are essential to mitigate cardiometabolic risk.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average