Key result
Cervical obesity predicted moderate/high cardiovascular risk (OR 1.95; 95% CI 1.04-3.68) with an area under the curve of 81.4%, which was not statistically different from central obesity (P=0.152).
Why the study?
Neck circumference has emerged as a predictor of obesity and metabolic syndrome, but its clinical usefulness for different population groups remains unclear.
Does neck circumference predict moderate/high cardiovascular risk as effectively as waist circumference in Chilean adults?
Cross-Sectional (n=4,607)
Does neck circumference predict moderate/high cardiovascular risk as effectively as waist circumference in Chilean adults?
Neck circumference has a high predictive capacity for moderate/high cardiovascular risk, comparable to waist circumference, offering an easier alternative for clinical practice.
Neck circumference predicts CVR comparably to waist in Chileans; leaves open clinical utility pending prospective validation.
OBJECTIVES: Neck circumference has emerged as a predictor of obesity and metabolic syndrome, but its clinical usefulness for different groups of population is not clearly defined. The aim is to evaluate the predictive capacity of neck circumference in order to detect cardiovascular risks (CVRs) on the Chilean population and to compare it with waist circumference performance. DESIGN: Cross-sectional study. SETTING: General Chilean population. PARTICIPANTS: Data of 4607 adults aged 18 and over from the Chilean National Health Survey 2009-2010 were analysed. PRIMARY AND SECONDARY OUTCOME MEASURES: Anthropometrics measures included neck and waist circumference, height and weight. CVR was identified according to the Framingham tables adapted for the Chilean population. Receiver operating characteristics curves and logistic regression models were made to evaluate the performance of neck circumference to predict a moderate/high CVR, comparing it to waist circumference. RESULTS: Almost 10% of the sample had a moderate or high CVR. The probability of having a moderate/high cardiovascular risk increase with cervical obesity (OR 1.95, 95% CI 1.04 to 3.68) and central obesity (OR 4.5, 95% CI 2.47 to 8.22). The area under the curves were high for cervical obesity (AUC 81.4%, 95% CI 78.8% to 84.0%) and central obesity (AUC 82.2%, 95% CI 79.7% to 84.7%) and not statistically different (p=0.152). CONCLUSIONS: Neck obesity has a high capacity to predict moderate/high CVR in the Chilean population. Its good performance appears as an opportunity to use it in clinical practice when waist circumference measurement is difficult to measure and eventually replace the waist circumference measurement as the technique is easier.
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Caro et al. (2019) conducted a cross-sectional in Cardiovascular risk (n=4,607). Cervical obesity (neck circumference) vs. Central obesity (waist circumference) was evaluated on Moderate/high cardiovascular risk (OR 1.95, 95% CI 1.04 to 3.68). Cervical obesity predicted moderate/high cardiovascular risk (OR 1.95; 95% CI 1.04-3.68) with an area under the curve of 81.4%, which was not statistically different from central obesity (P=0.152).
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