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Diabetes, Cardiovascular Risks, and Lipoproteins · Journal article
Advances in Clinical Medical Research · September 6, 2026
Encouraging direction, but not yet definitive.
This cross-sectional study of 300 adults found neck circumference to be an independent predictor of diabetes (OR 1.08, 95% CI 1.02–1.15) and dyslipidaemia (OR 1.15, 95% CI 1.07–1.24), with discriminatory performance (AUC 0.63) comparable to but inferior to BMI (AUC 0.71). The authors propose NC as a simple supplementary screening tool for metabolic risk, though the moderate predictive ability and cross-sectional design preclude strong clinical recommendations.
Hospital-based cross-sectional study. 300 adults attending a tertiary care center with diabetes, hypertension, and/or dyslipidaemia. Intervention: Neck circumference measurement and anthropometric assessment. Compared with: BMI, waist circumference, waist–hip ratio, and body roundness index. n = 300. Single tertiary care center (location not specified).
Diabetes prevalence 52.7%, hypertension 43.3%, dyslipidaemia 66.3% in study population NC showed significant positive correlations with BMI (r=0.511, p<0.001), WC (r=0.470, p<0.001), and modest correlation with HbA1c (r=0.154, p=0.007) NC independently predicted diabetes (OR 1.08, 95% CI 1.02–1.15, p=0.009) and dyslipidaemia (OR 1.15, 95% CI 1.07–1.24, p<0.001)
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NC may be considered a simple, non-invasive supplementary tool for screening metabolic risk in clinical settings, particularly for diabetes and dyslipidaemia detection. However, its moderate discriminatory ability (AUC 0.63) suggests it should complement rather than replace BMI or other established measures in routine clinical assessment.
Cross-sectional study demonstrating NC as an independent predictor of diabetes and dyslipidaemia with modest effect sizes and moderate discriminatory ability, supporting its potential as a supplementary screening tool but not yet practice-changing.
As stated by the source record.
Quoted from the source exactly as published.
NC may be considered a simple, non-invasive supplementary tool for screening metabolic risk in clinical settings, particularly for diabetes and dyslipidaemia detection. However, its moderate discriminatory ability (AUC 0.63) suggests it should complement rather than replace BMI or other established measures in routine clinical assessment.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Background: Obesity is a major contributor to diabetes, hypertension, and dyslipidaemia. Neck circumference (NC) hasemerged as a simple anthropometric measure reflecting upper-body adiposity and may serve as a practical marker of obesityrelatedmetabolic risk. The present study evaluated NC as an anthropometric index of obesity in patients with diabetes,hypertension, and dyslipidaemia. Materials and Methods: A hospital-based cross-sectional study was conducted among300 adults attending a tertiary care center. Anthropometric measurements, including NC, body mass index (BMI), waistcircumference (WC), waist–hip ratio (WHR), and body roundness index (BRI), were recorded. Biochemical parameters andmetabolic disorders were assessed. Correlation, logistic regression, linear regression, and receiver operating characteristic(ROC) analyses were performed. Results: The prevalence of diabetes, hypertension, and dyslipidaemia was 52.7%, 43.3%,and 66.3%, respectively. Mean NC was 37.72 ± 2.24 cm. NC showed significant positive correlations with BMI (r=0.511),WC (r=0.470), and BRI (r=0.393) (all p<0.001), and a modest positive correlation with HbA1c (r=0.154, p=0.007).Participants with elevated NC had significantly higher BMI, WC, and BRI. Diabetes and dyslipidaemia were significantlymore prevalent among individuals with elevated NC in both sexes, whereas the association with hypertension was notsignificant. Multivariable analyses identified NC as an independent predictor of diabetes (OR 1.08, 95% CI 1.02–1.15,p=0.009), dyslipidaemia (OR 1.15, 95% CI 1.07–1.24, p<0.001), and HbA1c (β=0.149, p=0.008). BMI demonstrated thehighest predictive ability (AUC 0.71), while NC showed comparable discriminatory performance (AUC 0.63). Conclusion:NC is significantly associated with obesity, diabetes, dyslipidaemia, and glycaemic status and independently predictsmetabolic risk. Although its predictive ability is moderate, NC is a simple, inexpensive, and non-invasive anthropometricmeasure that may serve as a useful supplementary screening tool for early identification of obesity-related metabolic risk,particularly diabetes and dyslipidaemia.
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