Iranian Journal of Diabetes and Obesity
Shahid Sadoughi University Of Medical Sciences
Sat, Oct 5, 2024
[Archive]
Volume 14, Issue 2 (volume 14, number 2 2022)
IJDO 2022, 14(2): 69-76 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Bidmeshki F, Hazar N, Mirzaei M, Rahmanian M. Finding an Appropriate Cut-off Point for Neck Circumference to Determine Overweight and Obesity in a Large Sample of Iranian Adults. IJDO 2022; 14 (2) :69-76
URL: http://ijdo.ssu.ac.ir/article-1-703-en.html
URL: http://ijdo.ssu.ac.ir/article-1-703-en.html
MD Specialist of Endocrinology and Metabolism, Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abstract: (963 Views)
Objective: Obesity is a major public health concern and there are different ways to detect it in population. The aim of the present study is to evaluate the neck circumference (NC) in a simple and practical way.
Materials and Methods: This cross-sectional survey utilized data from the Yazd Health Study (YaHS) which is a population-based cohort study. In brief, 9962 individuals aged 20-70 years with measurement of body weight, height, waist circumference (WC) and NC were available for analysis. To determine the relationship between NC and other anthropometric measurement, we utilized of Pearson's correlation coefficient. Receiver operator characteristic (ROC) curve analysis was used to find out an optimal cut off value for detecting general and central obesity as well as to determine the sensitivity and specificity of NC in predicting general and central obesity. The whole analysis was performed using SPSS version 22.
Results: NC correlated positively with body mass index (BMI) (r= 0.608, P< 0.001 in men and r= 0.541, P< 0.001 in women) and WC (r= 0.662, P< 0.001 in men and r= 0.542, P< 0.001 in women). The best cut-off point for NC to determine people with general obesity was 40.25 cm for men and 35.75 cm for women.
Conclusion: The NC has an acceptable correlation with BMI and WC. In addition, NC is a simple free measurement which may be utilized in various health-care settings. These properties make the NC as the best anthropometrics to determine overweight and obesity and it can be used as an appropriate predictor for overweight and obesity in population-based screening programs.
Materials and Methods: This cross-sectional survey utilized data from the Yazd Health Study (YaHS) which is a population-based cohort study. In brief, 9962 individuals aged 20-70 years with measurement of body weight, height, waist circumference (WC) and NC were available for analysis. To determine the relationship between NC and other anthropometric measurement, we utilized of Pearson's correlation coefficient. Receiver operator characteristic (ROC) curve analysis was used to find out an optimal cut off value for detecting general and central obesity as well as to determine the sensitivity and specificity of NC in predicting general and central obesity. The whole analysis was performed using SPSS version 22.
Results: NC correlated positively with body mass index (BMI) (r= 0.608, P< 0.001 in men and r= 0.541, P< 0.001 in women) and WC (r= 0.662, P< 0.001 in men and r= 0.542, P< 0.001 in women). The best cut-off point for NC to determine people with general obesity was 40.25 cm for men and 35.75 cm for women.
Conclusion: The NC has an acceptable correlation with BMI and WC. In addition, NC is a simple free measurement which may be utilized in various health-care settings. These properties make the NC as the best anthropometrics to determine overweight and obesity and it can be used as an appropriate predictor for overweight and obesity in population-based screening programs.
Type of Study: Research |
Subject:
Special
Received: 2021/12/12 | Accepted: 2022/03/9 | Published: 2022/05/20
Received: 2021/12/12 | Accepted: 2022/03/9 | Published: 2022/05/20
References
1. Abdolahi H, Iraj B, Mirpourian M, Shariatifar B. Association of neck circumference as an indicator of upper body obesity with cardio-metabolic risk factors among first degree relatives of diabetes patients. Advanced Biomedical Research. 2014;3:237. [DOI:10.4103/2277-9175.145740]
2. Papandreou D, Noor ZT, Rashed M, Al Jaberi H. Association of neck circumference with obesity in female college students. Open Access Macedonian Journal of Medical Sciences. 2015;3(4):578-81. [DOI:10.3889/oamjms.2015.118]
3. Joshipura K, Muñoz-Torres F, Vergara J, Palacios C, Pérez CM. Neck circumference may be a better alternative to standard anthropometric measures. Journal of Diabetes Research. 2016;2016:1-8. [DOI:10.1155/2016/6058916]
4. Lindarto D, Shierly SS. Neck circumference in overweight/obese subjects who visited the binjai supermall in Indonesia. Open access Macedonian journal of medical sciences. 2016;4(3):319-23. [DOI:10.3889/oamjms.2016.072]
5. Kumar S, Gupta A, Jain S. Neck circumference as a predictor of obesity and overweight in rural central India. International Journal of Medicine and Public Health. 2012;2(1). [DOI:10.4103/2230-8598.108409]
6. Rahmani A, Sayehmiri K, Asadollahi K, Sarokhani D, Islami F, Sarokhani M. Investigation of the prevalence of obesity in Iran: a systematic review and meta-analysis study.2015;53(10):596-607.
7. Hingorjo MR, Qureshi MA, Mehdi A. Neck circumference as a useful marker of obesity: a comparison with body mass index and waist circumference. JPMA-Journal of the Pakistan Medical Association. 2012;62(1):36.
8. Zhou JY, Ge H, Zhu MF, Wang LJ, Chen L, Tan YZ, et al. Neck circumference as an independent predictive contributor to cardio- metabolic syndrome. Cardiovascular diabetology. 2013;12(1):1-7. [DOI:10.1186/1475-2840-12-76]
9. Moazezi Z, Banasaz B, Khanlarzadeh E, Heidari F. Accuracy of neck circumference as a screening tool in classifying general and central obesity. Iranian Journal of Diabetes and Obesity. 2016;8(2):55-60.
10. Kelishadi R, Djalalinia S, Motlagh ME, Rahimi A, Bahreynian M, Arefirad T, et al. Association of neck circumference with general and abdominal obesity in children and adolescents: the weight disorders survey of the CASPIAN-IV study. BMJ open. 2016;6(9):e011794. [DOI:10.1136/bmjopen-2016-011794]
11. Ben‐Noun L, Sohar E, Laor A. Neck circumference as a simple screening measure for identifying overweight and obese patients. Obesity research. 2001;9(8):470-7. [DOI:10.1038/oby.2001.61]
12. Stabe C, Vasques AC, Lima MM, Tambascia MA, Pareja JC, Yamanaka A, et al. Neck circumference as a simple tool for identifying the metabolic syndrome and insulin resistance: results from the Brazilian Metabolic Syndrome Study. Clinical endocrinology. 2013;78(6):874-81. [DOI:10.1111/j.1365-2265.2012.04487.x]
13. Wang X, Zhang N, Yu C, Ji Z. Evaluation of neck circumference as a predictor of central obesity and insulin resistance in Chinese adults. International journal of clinical and experimental medicine. 2015;8(10):19107.
14. Preis SR, Massaro JM, Hoffmann U, D'Agostino Sr RB, Levy D, et al. Neck circumference as a novel measure of cardiometabolic risk: the Framingham Heart study. The journal of clinical endocrinology & metabolism. 2010;95(8):3701-10. [DOI:10.1210/jc.2009-1779]
15. Mirzaei M, Salehi-Abargouei A, Mirzaei M, Mohsenpour MA. Cohort Profile: The Yazd Health Study (YaHS): a population-based study of adults aged 20-70 years (study design and baseline population data). International journal of epidemiology. 2018;47(3):697-8h. [DOI:10.1093/ije/dyx231]
16. World Health Organization. Waist circumference and waist-hip ratio: report of a WHO expert consultation,Geneva,2008.
17. National Cholesterol Education program. ATP III guidelines at-a-glance quick desk reference. Accecible at: https://www.nhlbi.nih.gov/files/docs /guidelines/atglance.pdf [Last Accessed on 2021 Mar 15].
18. Verma M, Rajput M, Sahoo SS, Kaur N. Neck circumference: independent predictor for overweight and obesity in adult population. Indian Journal of Community Medicine: Official Publication of Indian Association of Preventive & Social Medicine. 2017;42(4):209. [DOI:10.4103/ijcm.IJCM_196_16]
19. Qureshi NK, Hossain T, Hassan MI, Akter N, Rahman MM, Sultana MM, et al. Neck circumference as a marker of overweight and obesity and cutoff values for Bangladeshi adults. Indian journal of endocrinology and metabolism. 2017;21(6):803. [DOI:10.4103/ijem.IJEM_196_17]
20. Alzeidan R, Fayed A, Hersi AS, Elmorshedy H. Performance of neck circumference to predict obesity and metabolic syndrome among adult Saudis: a cross-sectional study. BMC obesity. 2019;6(1):1-8. [DOI:10.1186/s40608-019-0235-7]
21. Yang GR, Yuan SY, Fu HJ, Wan G, Zhu LX, Bu XL, et al. Neck circumference positively related with central obesity, overweight, and metabolic syndrome in Chinese subjects with type 2 diabetes: Beijing Community Diabetes Study 4. Diabetes care. 2010;33(11):2465-7. [DOI:10.2337/dc10-0798]
22. Mondal N, Sen J, Bose K, Timungpi R, Kathar M, Hanse S. Neck circumference as a screening measure of overweight/obesity among Indian adults. Anthropological Review. 2016;79(3):347-65. [DOI:10.1515/anre-2016-0025]
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
