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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 demonstrates that neck circumference is independently associated with diabetes and dyslipidaemia, with moderate discriminatory performance (AUC 0.63) compared to BMI (AUC 0.71). NC appears useful as a supplementary screening tool but does not match established anthropometric indices and does not establish superiority or clinical outcome benefit.
Hospital-based cross-sectional study. 300 adults with diabetes, hypertension, and/or dyslipidaemia attending a tertiary care center. Intervention: Measurement of neck circumference and other anthropometric indices. Compared with: BMI, waist circumference, waist–hip ratio, body roundness index. n = 300. Single tertiary care center (location not specified).
Prevalence of diabetes 52.7%, hypertension 43.3%, dyslipidaemia 66.3% in study population NC showed significant positive correlations with BMI (r=0.511), WC (r=0.470), BRI (r=0.393), all p<0.001 NC independent predictor of 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)
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
NC may provide a simple, inexpensive supplementary screening tool for metabolic risk, particularly for diabetes and dyslipidaemia identification. However, its moderate discriminatory ability (AUC 0.63) and lack of prospective validation or clinical outcome data limit recommendation for primary screening or replacement of established measures.
Cross-sectional study showing NC as an independent predictor of diabetes and dyslipidaemia with moderate discriminatory ability (AUC 0.63), but limited by observational design and modest effect sizes that do not establish clinical utility.
As stated by the source record.
Quoted from the source exactly as published.
NC may provide a simple, inexpensive supplementary screening tool for metabolic risk, particularly for diabetes and dyslipidaemia identification. However, its moderate discriminatory ability (AUC 0.63) and lack of prospective validation or clinical outcome data limit recommendation for primary screening or replacement of established measures.
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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