ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
Anthropometric Indices and Type 2 Diabetes Mellitus as a Risk Factor in Predicting Nonalcoholic Fatty Liver Disease - A Prospective Study in Indian Population.
Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Effectiveness of body roundness index for the prediction of nonalcoholic fatty liver disease: a systematic review and meta-analysis.Lipids in health and disease · 2025Pooled it
- Non-alcohlic Fatty Liver Disease (NAFLD): Is it a Dormant Volcano or Tip of an Iceberg?Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
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4 authors at 2 institutions in 1 country.
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Abstract
Background: The different anthropometric indices have different predictive values of nonalcoholic fatty liver disease (NAFLD) in various populations. Since obesity is a common cause of NAFLD and diabetes, therefore, it is critical to correlate the various anthropometric indices as a risk factor in terms of NAFLD and diabetes in the Indian population. In view of reported association between obesity and NAFLD, the study was employed to analyze the relationship of various anthropometric indices (body mass index [BMI], a body shape index [ABSI], waist-height ratio [WHtR], etc.) with NAFLD and to comment, if possible, which among them has the highest predictive value in patients with type 2 diabetes. Material and Methods: Data of 220 diabetic patients (36-80 years) were analyzed. Anthropometric data were collected using standard methods. Routine biochemical investigations data were used. Ultrasonography was used to assess liver status for NAFLD. Results: Based on the results, Waist height ratio [WHtR] and BMI had better correlation with NAFLD than ABSI. The desirable WHtR cutoff value was 0.545 with 62% of sensitivity and 62% of specificity. The cut off for BMI and ABSI were 24.6 and 0.805, respectively, with 65% of sensitivity and 62% of specificity for BMI and 63% of sensitivity and 42% of specificity for ABSI. Conclusion: There is a strong association of BMI and ABSI with NAFLD in this study. Public health measures to limit overnutrition and management of obesity are essential to prevent NAFLD, and as its negative health effects on type 2 diabetes mellitus.
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