Literature DB >> 24284192

[The optimal cut-off value of waist-to-height ratio for detecting severe central obesity and low body weight adult Chinese population].

Ya-guang Peng1, Ying Li, Min Guo, Ye Tian, Xiang Li, Shu-hong Li, Yang-feng Wu, Lian-cheng Zhao.   

Abstract

OBJECTIVE: To explore the optimal cut-off values of waist-to-height ratio (WHtR) for detecting the severe central obesity and low body weight in adult Chinese population.
METHODS: A total of 30 630 participants aged 35-59 years from different areas in mainland China were surveyed for cardiovascular diseases risk factors in two independent cross-sectional studies that carried out in 1992-1994 and 1998, respectively. Indices, such as sensitivity, specificity for hypertension, abnormal glucose, high serum total cholesterol, low serum high density lipoprotein cholesterol and clustering of risk factors (number ≥ 2) were calculated to evaluate the efficacy individual cut-off point of WHtR. The cut-off point value for obvious central obesity was fixed on the point whose specificity of the point was gathered more than 90%. And the cut-off point value to indicate low weight was determined by the percentile distribution of WHtR, at which the 5th percentile of point, both in male and female population. Based on the principle of convenient and practical for use, the optimal cut-off point values of WHtR for low weight and obvious central obesity were determined.
RESULTS: The cut-off values of WHtR to detect severe central obesity were 0.54 and 0.57 for men and women, respectively. Additionally, the cut-off points of WHtR for each of the 4 cardiovascular risk factors to evaluate the severity separately ranged from 0.54 to 0.55 in male, and ranged from 0.57 to 0.58 in female. The 5th percentile of WHtR, which was the point value of WHtR to indicate low body weight, was 0.40 in both male and female population.
CONCLUSION: Our data suggest that the optimal cut-off value of WHtR for defining severe central obesity and low body weight should be 0.57 and 0.40, respectively.

Entities:  

Mesh:

Year:  2013        PMID: 24284192

Source DB:  PubMed          Journal:  Zhonghua Xin Xue Guan Bing Za Zhi        ISSN: 0253-3758


  4 in total

1.  Obesity, dyslipidaemia and candidate gene polymorphisms: a cross-sectional study among the Liangmai and Mizo tribes of Manipur, India.

Authors:  Somorjit Singh Ningombam; Masan Kambo Newmei; Varhlun Chhungi; Prakash Ranjan Mondal; Naorem Kiranmala Devi; Kallur Nava Saraswathy
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

2.  Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.

Authors:  Farzad Amirabdollahian; Fahimeh Haghighatdoost
Journal:  J Obes       Date:  2018-11-01

3.  A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults.

Authors:  Adam D Bohr; Kelly Laurson; Matthew B McQueen
Journal:  BMC Public Health       Date:  2016-04-01       Impact factor: 3.295

4.  Triple Burden of Obesity, Undernutrition, and Cardiovascular Disease Risk among Indian Tribes.

Authors:  Gautam K Kshatriya; Subhendu K Acharya
Journal:  PLoS One       Date:  2016-01-25       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.