Neck Circumference Cut-off Points Research Articles

Neck Circumference Cut-Off Points for Identifying Adiposity: Association with Chronic Metabolic Diseases in Older People

Background: The leading cause of death in older people is cardiovascular diseases. Several studies have found that neck circumference (NC) is a simple anthropometric marker associated with adiposity. The aim of this study is to estimate and validate NC cut-off points as adiposity markers and analyze their association with cardiovascular and chronic metabolic diseases in older people. Methods: A cross-sectional study in 358 non-disabled, community-dwelling older people (71.7 ± 3.9 years) living in Santiago de Chile and participating in the HTSMayor study was conducted. Measurements of body composition and cardiovascular risks were evaluated. Receiver operating characteristic (ROC) curves and multiple logistic regression models were used to evaluate the association of NC with cardiovascular and chronic metabolic diseases. NC cut-off points were obtained to predict obesity, abdominal obesity, and adiposity. Results: The best performance values of neck circumference relative to obesity and adiposity were obtained with respect to abdominal obesity (40.6 cm in men and 34.2 cm in women). Higher NC values were associated with a higher area under the curve (AUC) for men and women (men: AUC = 0.84; women: AUC = 0.86). NC was significantly associated with a higher risk for diabetes mellitus (OR = 1.95), hypertension (OR = 2.42), acute myocardial infarction (OR = 4.36), and comorbidities (OR = 2.01), and a lower risk for sarcopenia (OR = 0.35). Conclusions: This study shows that NC is a useful tool for detecting abdominal obesity, obesity, and adiposity in older people and that a higher NC increases the risk of chronic diseases.

Cut-off points of neck and waist circumference as predictors of obstructive sleep apnea in the Colombian population: a comparison with polysomnography.

Neck circumference (NC) is a useful anthropometric measure for predicting obstructive sleep apnea (OSA). Ethnicity and sex also influence obesity phenotypes. NC cut-offs for defining OSA have not been established for the Latin American population. To evaluate NC, waist circumference (WC), and body mass index (BMI) as predictors of OSA in the Colombian population and to determine optimal cut-off points. Diagnostic tests were conducted at the Javeriana University, Bogota. Adults from three cities in Colombia were included. NC, WC, and BMI were measured, and a polysomnogram provided the reference standard. The discrimination capacity and best cut-off points for diagnosing OSA were calculated. 964 patients were included (57.7% men; median age, 58 years) and 43.4% had OSA. The discrimination capacity of NC was similar for men and women (area under curve, AUC 0.63 versus 0.66, P=0.39) but better for women under 60 years old (AUC 0.69 versus 0.57, P<0.05). WC had better discrimination capacity for women (AUC 0.69 versus 0.57, P<0.001). There were no significant differences in BMI. Optimal NC cut-off points were 36.5cm for women (sensitivity [S]: 71.7%, specificity [E]: 55.3%) and 41 cm for men (S: 56%, E: 62%); and for WC, 97 cm for women (S: 65%, E: 69%) and 99 cm for men (S: 53%, E: 58%). NC and WC have moderate discrimination capacities for diagnosing OSA. The cut-off values suggest differences between Latin- and North American as well as Asian populations.

Neck Circumference is Associated with Metabolic Syndrome Components in Chinese Subjects with Type 2 Diabetes.

IntroductionWe aimed to investigate the correlation between neck circumference (NC) and metabolic syndrome (MetS) components in type 2 diabetes (T2DM) patients.MethodsThis cross-section study included 610 patients with T2DM, including 312 males and 298 females. Height, weight, body mass index (BMI), NC, waist circumference (WC), hip circumference, and blood pressure were measured. Serum glucose, lipid, and uric acid levels were examined. The correlation between NC and anthropometric parameters and metabolic disorders was analyzed. Receiver operating characteristic curve analysis was performed to determine the best NC cutoff value for predicting MetS.ResultsEither in male or female subjects, NC was positively correlated with BMI, WC, waist-to-hip ratio, systolic blood pressure, diastolic blood pressure, and serum triglyceride and uric acid levels and negatively correlated with serum HDL-C levels. NC is an independent influencing factor of female serum uric acid levels (standardized coefficient β = 0.141, t = 2.088, P = 0.038). NC of the MetS group was significantly larger than that of the non-MetS group (male 38.42±3.05 cm vs 36.20±2.90 cm, female 36.14±2.75 cm vs 34.01±2.94 cm, P < 0.001). The NC cutoff value for predicting MetS is 37.3 cm for males and 35.8cm for females. There was no difference between using cutoff points of NC and WC to recognize all MetS components in males and hyperuricemia in females (P>0.05).ConclusionNC is closely related to BMI, WC, and MetS components in T2DM. The cutoff points of NC can identify all MetS components in males and hyperuricemia in females with the same efficiency as WC.

An investigation of anthropometric measurements of early adolescents and determination of BMI-for-age-based neck circumference and BMI-for-age-based mid-upper-arm circumference cut-off points.

This study aimed to examine the anthropometric measurements of adolescents between the ages of 10 and 13, and to determine the BMI-for-age-based neck circumference (NC) and BMI-for-age-based mid-upper-arm circumference (MUAC) cut-off points for this age group. This methodological study was conducted with 626 students of early adolescent age in Kırklareli in Turkey. The cut-off values of BMI-for-age-based NC and MUAC were determined by ROC analysis from severe thinness to obesity. The most suitable AUC value was evaluated according to LR(+) and LR(-) and Sensitivity and Specificity were shown. The frequency of severe thinness, thinness, overweight, obese among adolescents was 8.0%, 8.9%, 11.7%, and 16.3%, respectively. WHpR of 14.4% of the adolescents was ≥0.90 in boys and ≥0.85 in girls. According to WHtR, 23.8% had a value of <0.40 and, 17.8% had a value of ≥0.50. BMI-for-age-based NC cut-off points were severe thinness, thinness, overweight, obesity 25.50, 26.50, 29.50, 30.50cm in girls, respectively; 26.50, 27.50, 30.50, 31.50cm in boys, respectively. BMI-for-age-based MUAC cut-off points were severe thinness, thinness, overweight, obesity 19.50, 20.50, 24.50, 25.50cm in girls, respectively; 19.50, 20.50, 25.50, 26.50cm in boys, respectively. Double burden of malnutrition was identified in early adolescents. The cutoff points for NC and MUAC found in this study showed good specificity to identify double burden of malnutrition in early adolescents and can be used as a reference in especially in cases of insufficient resources or isolated environments.

Circunferência do pescoço: proposta de pontos de corte para crianças brasileiras

ABSTRACT Objective The objective of the present study was to propose cutoff points of neck circumference for predicting overweight in Brazilian children. Methods We conducted a cross-sectional study with 875 children from public schools in Brazil. Weight, height, and neck circumference were measured. Nutritional status and the risk of complications were assessed based on the values of body mass index and neck circumference. Receiver operating characteristic curve analysis was used to verify the cutoff points. Results The median age was eight years, and the majority of the children had normal weights by body mass index and had no risk of metabolic complications by neck circumference. There was a correlation between neck circumference and body mass index (k=0.689; p&lt;0.005). The mean values proposed for overweight were 29.2 cm for girls and 29.1 cm for boys. Conclusion Neck circumference had a good correlation with body mass index, and the cutoff points proposed can identify overweight in Brazilian children.

Diagnostic capacity of neck circumference to evaluate obesity in a young adult population. Data analysis from the second national health survey in Chile, 2009-2010

Introduction: Chile is among the countries with the highest rate of excess malnutrition, for that reason it is important to have effective tools to evaluate the nutritional status; interest in neck circumference (NC) measurement as a potential prognostic tool that is easy to access and low-cost has increased. Objective: to evaluate the diagnostic capacity of neck circumference to predict obesity in the population aged 15-16 years, using data from the third National Health Survey 2009-2010. Materials and methods: Concurrent Criteria of Diagnostic Validation were used for the study. The sample consisted of 536 people of ages from 15 to 26 years, where BMI data where taken in order to classify obesity versus normality (gold standard), as was NC (measured in centimeters). People with hyperthyroidism were excluded. Indicators of diagnostic accuracy were obtained; the SPSS, version 25 was used for calculations. Results: according to age and gender ranks, the NC cut-off points to classify general obesity showed sensitivities and specificities above 0.85, with an area under the curve over 0.90, all with p < 0.001. Conclusion: there is evidence that supports that NC cutoff points are a suitable tool for diagnosing obesity in this age group.

Correlation between Neck Circumference and Other Anthropometric Measurements in Eight Latin American Countries. Results from ELANS Study.

Neck circumference (NC) is being used to identify the risk of chronic diseases. There is a high prevalence of overweight and obesity in Latin America, and neck circumference is a simple and practical measurement to assess this, especially in primary health centers. We analyzed the correlation between the NC anthropometric indicator and other anthropometric measurements such as BMI and waist circumference (WC) in eight Latin American cities. We applied Pearson’s correlation to identify the correlate NC with the other anthropometric variables stratified by sex; the sensitivity (Se) and specificity (Sp) by sex were evaluated according to the cut-off established with the Youden Index. The strongest correlations between NC and WC were found when stratified by sex (women: r = 0.71; men: r = 0.69, respectively) followed by the correlation between NC and BMI (r = 0.65, both sex). NC cut-off points of 39.0 cm in men and 32.9 cm in women identified those individuals with an increased WC and 39.8 and 33.7 cm, respectively, for a substantial increase in WC. For BMI ≥ 25.0 kg/m2 for men, the cut-off point was 37.5 cm, and for women, it was 33.1 cm, and for BMI ≥ 30 kg/m2, the cut-off points were 39.2 and 34.2 cm, for men and women, respectively. Conclusion: NC proved to be a useful, practical, and inexpensive tool that can be used to identify, evaluate, and monitor overweight and obese individuals.

Diagnostic Performance and Appropriate Cut-Offs of Different Anthropometric Indicators for Detecting Children with Overweight and Obesity.

In the clinical settings, different anthropometric indicators like neck circumference (NC), waist circumference (WC), midupper arm circumference (MUAC), waist-to-height ratio (WHtR), and arm-to-height ratio (AHtR) have been suggested for evaluating overweight and obesity in children. The comparative ability of these indicators in Pakistan is yet unknown. This study is aimed at examining the validity of different anthropometric indicators of overweight and obesity simultaneously and at determining their superlative cut-off values that would correctly detect overweight and obesity in children. For this purpose, the dataset of anthropometric measurements height, weight, WC, MUAC, and NC of 5,964 Pakistani children, aged 5-12 years collected in a cross-sectional multiethnic anthropometric survey (MEAS), was used. Receiver operating characteristic (ROC) curve analysis was performed to assess the validity of different anthropometric indicators. The most sensitive and specific cut-off points, positive and negative predictive values of each indicator were also calculated. The results of the ROC curve indicated that all the studied indicators had a good performance but the indicators AHtR and WHtR had the highest value of the area under the curve (AUC) for the screening of children with overweight and obesity (AUC > 0.80). In the overall sample, AHtR, WHtR, MUAC, WC, and NC cut-off points indicative of overweight, in both boys and girls, were 0.14, 0.46, 18.41 cm, 62.86 cm, and 26.36 cm and 0.14, 0.47, 18.16 cm, 64.39 cm, and 26.54 cm, respectively; the corresponding values for obesity were 0.14, 0.47, 18.67 cm, 62.10 cm, and 26.36 cm and 0.14, 0.48, 20.19 cm, 64.39 cm, and 25.27 cm. We concluded that the sex-specific cut-off points for AHtR, WHtR, MUAC, WC, and NC can be used to diagnose overweight and obesity in Pakistani children.

Neck circumference and the burden of metabolic syndrome disease: a population-based sample.

This study aims to verify the association between neck circumference (NC) and metabolic syndrome and establish NC cut-off points to predict metabolic syndrome. Weight, height, NC, waist circumference, body mass index, fasting plasma glucose, HDL cholesterol, triglycerides and blood pressure were measured in a cross-sectional and population-based study with 966 adults. The association between NC and the burden of metabolic syndrome disease was evaluated by multinomial logistic regression. Receiver operating characteristic curves were used to acquire gender-specific cut-off values and predict metabolic syndrome. The NC is a simple anthropometric measurement, has low evaluation costs, can estimate the subcutaneous fat in the upper body and is related to cardiometabolic risks. NC is an independent predictor of metabolic syndrome burden with high association to women. The syndrome components stratification indicated that the NC of individuals with one component was lower than those with three or more (P=0.001). Metabolic syndrome prediction cut-off point was a NC of 39.5cm for men and 33.3cm for women. Increased NC was associated with higher metabolic syndrome risks. This anthropometric parameter can be used as an additional marker for screening cardiovascular risk diseases.

Neck circumference and metabolic syndrome: A cross-sectional population-based study

ObjectivesThis study aimed to investigate the possible association of neck circumference with cardiometabolic risk factors, and to find out the possible cutoff points of neck circumference for the diagnosis of metabolic syndrome among the Iranian population. MethodThis is a cross-sectional study in 1619 participants who were selected through clustered random sampling, as a part of a health cohort in Amol, Iran. Diagnosis of metabolic syndrome (MetS) was based on the modified criteria of the National Cholesterol Educational Program Adult Treatment Panel (NCEP ATP III). Associations of neck circumference with Mets and its components were studied using logistic regression. The optimal cutoff point of neck circumference for MetS diagnosis was calculated based on the Youden index. ResultsMetabolic syndrome was diagnosed in 433 (26.7%) of patients. Neck circumference was shown to be significantly associated with central obesity, hypertension, hypertriglyceridemia, impaired fasting glucose, and low serum high-density lipoprotein (HDL) level, as well as MetS. The optimal cutoff points of neck circumference in the diagnosis of MetS are 36 cm and 42 cm for women and men, respectively. Sensitivity of the optimal cut-off point of NC for diagnosing patients with MetS was higher in women compared to men (70.6% compared to 55.9%). ConclusionA significant association was observed between neck circumference and the presence of MetS among the Iranian population and neck circumference can be offered as a new index in screening and diagnosis for MetS and assessing cardiometabolic risk factors.

Identification of neck circumference cut-off points for insulin resistance as a marker in adolescents

ABSTRACT Objective To identify cut-off points of neck circumference measurement to predict insulin resistance in adolescents. Methods Cross-sectional analysis with data derived from the Study of Cardiovascular Risks in Adolescents, nationwide, multicenter, school-based survey. We evaluated 901 adolescents, aged 12 to 17, from public and private schools in two cities of Sergipe state in Brazil. We measured demographic, anthropometric, and biochemical data, and insulin resistance using Homeostasis Model Assessment-Insulin Resistance. We used multiple linear regression and logistic analysis to evaluate the association between dependent variables (biochemical) and independent variables (anthropometric) controlled by body mass index, age, gender, and Tanner’s stage. We used the Receiver operating characteristic curve to determine cut-off points of neck circumference that can identify insulin resistance. Results The multiple linear regression analysis showed a positive association between neck circumference measurement with fasting glycemia and glycated hemoglobin (p&lt;0.001) and a negative association with insulin (p&lt;0.024). Furthermore, in logistic regression, the measurement of neck circumference was the only anthropometric indicator positively correlated with homeostasis model assessment-insulin resistance. The cut-off points of neck circumference for predicting insulin resistance were: 30.55cm for female pubertal and 32.10cm for post-pubertal adolescents; 35.90cm for male pubertal adolescents and 36.65cm for post-pubertal adolescents. Conclusions The measurement of neck circumference is a simple, practical anthropometric indicator and can be used as a screening tool to identify insulin resistance in adolescents.

Diagnostic Performance of Neck Circumference and Cut-off Values for Identifying Overweight and Obese Pakistani Children: A Receiver Operating Characteristic Analysis

Objective:Neck circumference (NC) is considered to be an alternative screening method for obesity. The aims were: (1) to examine the correlation between body mass index (BMI) and NC; and (2) to determine diagnostic performance including the best cut-off values of NC for identification of overweight and obese Pakistani children.Methods:The study sample was 7,921 children, aged 5-14 years, by cross-sectional survey carried-out in four major cities of Pakistan. Receiver operating characteristic analysis was used to investigate the diagnostics performance of NC and to determine the optimal cut-off points for identifying children with overweight and obesity.Results:The mean of each anthropometric variable (i.e., height, weight, BMI and NC) increased with age in both sexes. In the whole sample, NC had a strong positive correlation (r=0.61, p<0.01) with BMI. NC optimal cut-off points for identifying overweight and obesity in Pakistani boys ranged between 25.00 to 30.35 cm and the corresponding values for the girls were 24.00 to 31.62 cm. In the prepubertal period, NC cut-off points indicative overweight, in both boys and girls were 26.36 cm and 25.27 cm, respectively; the corresponding values for obesity were 26.78 cm and 25.02 cm. During puberty, the cut-off values for overweight and obesity respectively were 28.32 cm and 28.57 cm in boys and 28.70 cm and 28.82 cm in girls.Conclusion:NC may be used as a simple and widely applicable measure for identification of overweight and obesity with reasonable accuracy in Pakistani children.

Neck circumference is a good predictor for insulin resistance in women with polycystic ovary syndrome

To assess the role of neck circumference (NC) in assessing insulin resistance (IR) in polycystic ovary syndrome (PCOS). A cross-sectional study. University-affiliated hospital. One hundred forty-three women with PCOS were recruited from November 2018 to February2020. None. The associations of NC with IR and the cutoff points of NC for IR. The prevalence rates of IR were 64.3%. The patients with PCOS with IR had significantly greater values of systolic blood pressure, NC, body mass index, waist-to-hip ratio, waist circumference, fasting blood glucose, fasting insulin, and homeostasis model assessment of insulin resistance (HOMA-IR). Pearson correlation analysis showed body mass index (log-transformed), waist circumference, waist-to-hip ratio, and HOMA-IR (log-transformed) were positively correlated with NC. Multivariable linear regression showed that NC was significantly associated with HOMA-IR (log-transformed), with the standardized regression coefficient of 0.330 with adjustment for potential confounding factors. Furthermore, multivariate logistic regression analyses showed NC was associated significantly with increased risk of IR, with the adjusted odds ratio of 1.423. Additionally, NC was able to identify IR in women with PCOS; the optimal cut-off points was 34.3 cm (Youden index = 0.586). Neck circumference is positively associated with IR in women with PCOS. We suggest NC as a novel, simple, practical, and reliable anthropometric measure to be used to predict the risk of IR in patients with PCOS.

Neck circumference cutoff points to identify excess android fat

ObjectiveTo evaluate the ability of neck circumference to identify excess android fat and to propose cutoff points for Brazilian children. MethodThis was a cross‐sectional study with 376 children aged 8 and 9 years enrolled in public and private schools in the urban area of the municipality of Viçosa, Minas Gerais. A semi‐structured questionnaire containing sociodemographic and lifestyle information was applied. The following were collected: neck circumference, weight, and height for the calculation of body mass index. The percentage of fat in the android region was determined by dual energy X‐ray absorptiometry. Linear regression analysis was used to evaluate the association between neck circumference and android fat, adopting a significance level of 5%. Receiver operating characteristic curves were used to evaluate the capacity of neck circumference to determine the excess android fat, as well as to estimate the cutoff points of neck circumference according to gender. ResultsMultiple linear regression showed an association between neck circumference and android fat (β: 2.94, 95% CI: 2.41, 3.47). Neck circumference was able to identify excess android fat in girls (AUC: 0.909, 95% CI: 0.999, 0.945) and boys (AUC: 0.938, 95% CI: 0.892, 0.968). The proposed cutoff points showed satisfactory sensitivity, specificity, and predictive values. ConclusionsNeck circumference is capable of identifying excess android fat in children and can be used in clinical practice and in population studies to determine central adiposity. The proposed cutoff points were satisfactory, but should be validated for other populations.

Neck circumference as an indicator of elevated central adiposity in children.

We aimed to study the correlation between neck circumference (NC) and anthropometric adiposity indicators, and to determine cut-off points of NC for both sexes to identify elevated central adiposity in schoolchildren in western Mexico. Cross-sectional study. Rural settings in western México.ParticipantsChildren from a convenience sample of six schools in Acatlán, Jalisco, Mexico (n 1802). NC showed a strong positive correlation with all anthropometric adiposity indicators in both sexes, which were notably higher in boys regardless of age. Noteworthy, waist circumference displayed the highest significant correlation when analysed by both age and sex. As age increased, NC cut-off points to identify elevated central adiposity ranged from 25·7 to 30·1 cm for girls and from 27·5 to 31·7 cm for boys. NC could be used as a simple, inexpensive and non-invasive indicator for central obesity assessment in Mexican schoolchildren.

Neck circumference cutoff points to identify excess android fat

ObjectiveTo evaluate the ability of neck circumference to identify excess android fat and to propose cutoff points for Brazilian children. MethodThis was a cross-sectional study with 376 children aged 8 and 9 years enrolled in public and private schools in the urban area of the municipality of Viçosa, Minas Gerais. A semi-structured questionnaire containing sociodemographic and lifestyle information was applied. The following were collected: neck circumference, weight, and height for the calculation of body mass index. The percentage of fat in the android region was determined by dual energy X-ray absorptiometry. Linear regression analysis was used to evaluate the association between neck circumference and android fat, adopting a significance level of 5%. Receiver operating characteristic curves were used to evaluate the capacity of neck circumference to determine the excess android fat, as well as to estimate the cutoff points of neck circumference according to gender. ResultsMultiple linear regression showed an association between neck circumference and android fat (β: 2.94, 95% CI: 2.41, 3.47). Neck circumference was able to identify excess android fat in girls (AUC: 0.909, 95% CI: 0.999, 0.945) and boys (AUC: 0.938, 95% CI: 0.892, 0.968). The proposed cutoff points showed satisfactory sensitivity, specificity, and predictive values. ConclusionsNeck circumference is capable of identifying excess android fat in children and can be used in clinical practice and in population studies to determine central adiposity. The proposed cutoff points were satisfactory, but should be validated for other populations.

Neck circumference is associated with nutritional status in elderly nursing home residents.

Anthropometry is an easy and noninvasive method to evaluate nutritional status in institutionalized elderly people who are often bedridden. The aim of this study was to investigate the relationship between the neck circumference (NC) and nutritional status of elderly nursing home residents and to find cutoff points for NC size to identify individuals at risk of malnutrition. A cross-sectional study was developed with data collected from 352 elderly people living in five public nursing homes. Different anthropometric measures and the Mini Nutritional Assessment (MNA) were used to determine nutritional status. Receiver operating characteristic (ROC) curves were built for each anthropometric variable to determine their sensitivity and specificity for predicting the risk of malnutrition according to the MNA. The mean age of the participants (59% females) was 83 years old. In total, 48.3% of women and 45.5% of men were at risk of malnutrition according to their MNA scores. All anthropometric measurements were highly intercorrelated in both men and women, indicating a high degree of collinearity. Bootstrapped linear regression was used to assess the strength of the association between an individuals' nutritional status and their anthropometric parameters. Calf circumference and NC presented the best predictive value with the highest sensitivity for diagnosing the risk of malnutrition in both institutionalized elderly men and women. The best cutoff points of NC to identify elderly nursing home residents at risk of malnutrition were 35.2 cm for females and 37.8 cm for males. NC is associated with other classical anthropometric parameters and malnutrition status in elderly people living in nursing homes.

Neck circumference in adolescents and cardiometabolic risk: A sistematic review.

To critically analyze articles on the relation between neck circumference (NC) in adolescents and: body mass index, fat distribution, metabolic syndrome and its individual components, and cardiovascular risk. Systematic review undertaken by two independent researchers using the Pubmed/Medline, Lilacs/Medline, Scielo and Cochrane databases in English, Spanish and Portuguese in the period comprising the past 5 years. Eighteen (18) articles were selected. The articles show an association between NC in adolescents and body fat (BMI), central fat distribution (WC), metabolic syndrome and several of its individual components, and cardiovascular risk. Some values are proposed for NC cutoff points as a diagnostic tool for nutritional status, high blood pressure and pre-hypertension, cardiovascular risk, insulin resistance and metabolic syndrome. We identified a percentile curve constructed for Brazilian adolescents. There is a shortage of studies with representative samples, variety at the NC measurement sites, and the age of the participants, which makes it difficult to establish definitive landmarks.

Neck circumference: A valuable anthropometric measurement to detect metabolic syndrome among different age groups in China.

The aim of this study was to investigate the correlation between neck circumference and metabolic syndrome in Chinese residents and to explore the cut-off points of neck circumference for metabolic syndrome in different age groups. In all, 4227 Chinese adults (18-90y) were enrolled in the study and divided into 3 subgroups (young, middle-aged, and elderly) according to their ages. The compared data for the subjects included anthropometric indicators and biochemical detection indices. Neck circumference was compared with other simple anthropometric indices using receiver operating characteristic curves. (1) In all, 362 of the subjects who were diagnosed with metabolic syndrome were young (16.8%), 428 were middle-aged (36.9%), and 485 were elderly people (53.1%). (2) The areas under the curve of neck circumference for metabolic syndrome for the 3 subgroups, young, middle-aged, and elderly, for males were 0.853, 0.792, and 0.828, respectively, and these values were 0.859, 0.780, and 0.725 for females, respectively. (3) Neck circumference cut-offs were 39.05, 39.45, and 38.90cm in men and 34.15, 33.55, and 33.95cm in women. Neck circumference contributed to determining metabolic syndrome risk beyond the classical anthropometric indices among different age groups in China.

Neck Circumference in Overweight/Obese Subjects who Visited the Binjai Supermall in Indonesia.

BACKGROUND:Neck circumference (NC) is a simple screening measure for identifying overweight and obesity, it reflects upper-body fat distribution and central obesity.AIM:To determine whether a single measure of NC might be used to identify overweight/obesity.MATERIAL AND METHODS:An observational, analytical, cross-sectional study was done. The subjects consisted of all consecutive subjects who visited Binjai Supermall (North Sumatera Province, Indonesia) between 23rd and 29th September 2015 and agreed to participate in the study. NC, weight, height, body mass index (BMI), and waist circumference (WC) were measured. Overweight and obesity were defined as BMIs of 23.0–24.9 and ≥ 25 kg/m2, respectively.RESULTS:In total, 1554 subjects participated. Of these, 1238 (79.7%) were overweight/obese. NC correlated significantly with weight, height, BMI, and WC. Receiver operating characteristic (ROC) analysis showed that for all men and women, the area under the curve of overweight/obesity for NC was 0.83 and 0.79, respectively. The best NC cutoff points for males and females that indicated overweight/obesity were ≥ 37 cm (sensitivity, 78.3% and specificity, 75.5%) and ≥ 33.5 cm (sensitivity, 76.6% and specificity, 66.7%), respectively.CONCLUSION:The NC cutoffs that were identified may be useful for screening for overweight/obesity and related co-morbidities.