Iranian Journal of Public Health 2017. 46(8):1038-1045.

Appropriate Body Mass Index and Waist-hip Ratio Cutoff Points for Overweight and Obesity in Adults of Northeast China
Qiong YU, Bo PANG, Rui LIU, Wenwang RAO, Shangchao ZHANG, Yaqin YU

Abstract


Abstract

Background: The current overweight and obesity guidelines based on the Westerners are not consistent with many studies based on the Asians. The guidelines may be different because of regional diversity. This study aimed to determine the appropriate body mass index (BMI) and waist-hip ratio (WHR) cutoff points in the adults of Northeast China.

Methods: Overall, 21206 adults were selected from Jilin Province Adult Chronic Disease and Risk Factor Survey conducted in 2012. A representative sample was collected in the Jilin Province of northeast China by a multistage stratified random cluster sampling design. The age of participants was from 20 to 79 yr old. The test items were clustered by risk factors, and receiver operating characteristic (ROC) curves were computed to analyze.

Results: Under different risk factors, BMI cutoff points were affected greatly. Especially for diabetes, the cutoff value was apparently larger than others were. WHR increased with age in both genders. From a general view, male WHR was slightly larger than female. In the male, WHR cutoff point was near 0.88 with a tiny change, as for in the female was near 0.86.

Conclusion: The cutoff values of sensitivity and specificity are relatively good and false positives rate is relatively low. BMI cutoffs values of overweight and obesity are 24.5 kg/m2 and 29.0 kg/m2, WHR cutoff values of the male are 0.88, the female is 0.86.

 

 


Keywords


Body mass index; Waist-hip ratio; Adult; Cutoff point; China

Full Text:

Untitled PDF

References


Rahmouni K (2014). Obesity-associated hypertension: recent progress in deciphering the pathogenesis. Hypertension, 64:215-21.

Riobó Serván P (2013). Obesity and diabetes. Nutr Hosp, 28 Suppl 5:138-43.

Cybulska B, Klosiewicz-Latoszek L (2013). Management of severe hypertriglyceridaemia. Kardiol Pol, 71:1007-12.

Segula D (2014). Complications of obesity in adults: a short review of the literature. Malawi Med J, 26:20-4.

Kim HG, Han J (2012). Obesity and Pancreatic Diseases. Korean J of Gastroenterol, 59:35-9.

Adair LS, Gordon-Larsen P, Du SF, et al (2014). The emergence of cardiometabolic disease risk in Chinese children and adults: consequences of changes in diet, physical activity and obesity. Obes Rev, 15 Suppl 1:49-59.

Friedemann C, Heneghan C, Mahtani K, et al (2012). Cardiovascular disease risk in healthy children and its association with body mass index: systematic review and meta-analysis. BMJ, 345:e4759.

Coutinho T, Goel K, Correa de Sa D, et al (2011). Central obesity and survival in subjects with coronary artery disease: a systematic review of the literature and collaborative analysis with individual subject data. J Am Coll Cardiol, 57:1877-86.

Consultation WHO (2000). Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser, 894:1-253.

Zhou B (2002). Predictive values of body mass index and waist circumference to risk factors of related diseases in Chinese adult population. Zhonghua Liu Xing Bing Xue Za Zhi, 23:5-10 (in Chinese).

Liu LS (2011). 2010 Chinese guidelines for the management of hypertension. Zhonghua Xin Xue Guan Bing Za Zhi, 39:579-615 (in Chinese).

Zhang C, Yu L, Xu T, et al (2013). Association of Dyslipidemia with Renal Cell Carcinoma: A 1: 2 Matched Case-Control Study. PloS One, 8:e59796.

Consultation WHO (1985). Diabetes mellitus. Report of a WHO Study Group. World Health Organ Tech Rep Ser, 727:1-113.

Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (2003). Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care, 26 Suppl 1:S5-20.

Akobeng AK (2007). Understanding diagnostic tests 3: receiver operating characteristic curves. Acta Paediatr, 96:644-7.

Pan S, Yu ZX, Ma YT, et al (2013). Appropriate body mass index and waist circumference cutoffs for categorization of overweight and central adiposity among Uighur adults in Xinjiang. PLoS One, 8:e80185.

An Y, Yi S, Fitzpatrick A, et al (2013). Appropriate body mass index and waist circumference cutoff for overweight and central obesity among adults in Cambodia. PLoS One, 8:e77897.

de Padua Cintra I, Zanetti Passos MA, Dos Santos LC, et al (2014). Waist-to-height ratio percentiles and cutoffs for obesity: a cross-sectional study in brazilian adolescents. J Health Popul Nutr, 32:411-9.

Araneta MR, Kanaya AM, Hsu WC, et al (2015). Optimum BMI Cut Points to Screen Asian Americans for Type 2 Diabetes. Diabetes Care, 38:814-20.

Lucha-López MO, Lucha-López AC, Vidal-Peracho C, et al (2014). Analysis of a sample of type 2 diabetic patients with obesity or overweight and at cardiovascular risk: a cross sectional study in Spain. BMC Res Notes, 7:48.

Liu Y, Tong G, Tong W, Lu L, Qin X (2011). Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects? BMC Public Health, 11:35.

Gao Y, Chen G, Tian HM, et al (2013). Prevalence of hypertension in china: a cross-sectional study. PLoS One, 8:e65938.

Xu Y, Wang LM, He J, et al (2013). Prevalence and control of diabetes in Chinese adults. JAMA, 310:948-59.

Zhang C, Wang LY, Liao Q, et al (2013). Genetic associations with hypertension: meta-analyses of six candidate genetic variants. Genet Test Mol Biomarkers, 17:736-42.

Wang Y, Zhang Y, Zhang J, et al (2013). Association of a functional single-nucleotide polymorphism in the ALDH2 gene with essential hypertension depends on drinking behavior in a Chinese Han population. J Hum Hypertens, 27:181-6.

Liang M, Cowley AW Jr, Mattson DL, et al (2013). Epigenomics of hypertension. Semin Nephrol, 33:392-9.

Vaněčková I, Maletínská L, Behuliak M, et al (2014). Obesity-related hypertension: possible pathophysiological mechanisms. J Endocrinol, 223:R63-78.


Refbacks

  • There are currently no refbacks.


Creative Commons Attribution-NonCommercial 3.0

This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.