ArticleKorean journal of family medicine2026
Assessment of neck to height ratio as a predictive tool for metabolic dysfunction-associated steatotic liver disease in Korean adults: a cross-sectional analysis from the Korea National Health and Nutrition Examination Survey 2019-2021.
Article in Korean journal of family medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Early screening and management of metabolic dysfunction-associated steatotic liver disease (MASLD) are essential to prevent progression to fibrosis, cirrhosis, and related chronic diseases. The neck circumference to height ratio (NHtR) is a reliable measure of upper body fat. This study explored the relationship between the NHtR and MASLD in the Korean population, with the aim of validating it as a reliable screening tool. Methods: We analyzed data from the 2019 to 2021 Korea National Health and Nutrition Examination Survey, including 11,414 participants aged 40 years or older. The association between the NHtR and MASLD was evaluated using logistic regression analysis, while predictive accuracy was evaluated using receiver operating characteristic curve analysis. Results: A total of 11,414 participants aged 40 years or older were included in the study. Participants in the highest NHtR quartile had higher levels of metabolic risk markers, including body mass index, waist circumference, glucose, hemoglobin A1c, and homeostatic model assessment of insulin resistance (P<0.001). In logistic regression analysis, the odds ratio for MASLD in quartile 4 compared to quartile 1 was 1.77 (95% confidence interval [CI], 1.31-2.40; P<0.001) in the fully adjusted model. The area under the curve and 95% CI of NHtR for MASLD were 0.749 (95% CI, 0.740-0.758), demonstrating superior accuracy compared with other indicators. The optimal NHtR cut-off for MASLD was 21.564, with a sensitivity and specificity of 0.726 and 0.644, respectively. Conclusion: NHtR is a more effective predictor of MASLD than other measures, highlighting its potential as a valuable screening tool in clinical and self-care settings.
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