ArticleFrontiers in public health2025
Relationship between neck circumference and body composition: a cross-sectional study based on a Chinese population.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Clinical Assessment of Obesity Beyond Body Mass Index: Adiposity Evaluation, Body-Composition Phenotyping and Disease Staging: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
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Authors and funding
5 authors.
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Abstract
Background: Obesity is a chronic metabolic disorder characterized by excessive fat accumulation, physiological dysfunction, and metabolic disturbances, closely associated with diabetes, cardiovascular diseases, and dyslipidemia. Currently, the primary indices for obesity screening include Body Mass Index (BMI), Waist Circumference (WC), and Percentage of Body Fat (PBF). However, these indices have certain limitations in practical application. Neck Circumference (NC), a novel anthropometric index, has garnered increasing attention in recent years. Objective: This study aims to assess the correlation between NC and several obesity-related metrics, including BMI, PBF, Fat Mass Index (FMI), and Visceral Fat Area (VFA). Furthermore, the reliability of NC as a diagnostic tool for obesity is evaluated. Methods: This study retrospectively analyzed body composition data from 8,319 Chinese young adults. For statistical analyses, IBM SPSS Statistics version 26.0 and R version 4.5.1 were used, which included multi-model fitting for verifying linear correlations, followed by Pearson correlation analysis, gender-stratified linear regression analysis, Receiver Operating Characteristic (ROC) curve analysis, calibration curve analysis, and Decision Curve Analysis (DCA). The optimal cut-off value of NC was determined using the Youden index, and its consistency with BMI-defined classification of obesity was validated using the Kappa test. Results: NC was significantly positively correlated with BMI, FMI, VFA, PBF (all Conclusion: NC correlates with key obesity indices. It is a simple, effective obesity screening tool for young females, while males require comprehensive assessment with BMI, PBF, and VFA.
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