scholarly journals Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Fu-Liang Zhang ◽  
Jia-Xin Ren ◽  
Peng Zhang ◽  
Hang Jin ◽  
Yang Qu ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Linear Trend ◽  
Strong Association ◽  
Jilin Province ◽  
Trend Test ◽  
Height Ratio ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio

Backgrounds. The prevalence of diabetes has increased with the increase of obesity, and finding indicators to predict diabetes risk has become an urgent need. The purpose of this study is to compare the correlation between four anthropometric indices and the prevalence of diabetes. Methods. A total of 4052 participants aged 40 years and above were selected in Dehui City, Jilin Province, using a multistage stratified whole group sampling method. Face-to-face interviews and physical examinations were conducted. Multivariate logistic analysis was used. The values of BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were divided into quartiles (Q1: <25%; Q2: ~25%; Q3: ~50%; and Q4: ~75%). The median of each quartile was used for a linear trend test. Results. For all four body fat-measuring indices of body mass index (adjusted OR: 3.300, 95% CI: 2.370, 4.595), WC (adjusted OR: 5.131, 95% CI: 3.433, 7.669), WHR (adjusted OR: 3.327, 95% CI: 2.386, 4.638), and WHtR (adjusted OR: 5.959, 95% CI: 3.922, 9.054), patients in the highest quartile were more likely to have diabetes than those in the lowest quartile. The areas under the curve of WHtR, WC, WHR, and BMI for diabetes were 0.683, 0.669, 0.654, and 0.629, respectively. In female participants, the areas under the curve of the waist-height ratio and WC were 0.710 (95% CI: 0.679-0.741) and 0.701 (95% CI: 0.670-0.732), respectively. Conclusions. The WC and WHtR were more closely related to diabetes than BMI and WHR among study   participants ≥ 40   years of age, especially in females.

scholarly journals The Influence of Anthropometric Indices and Intermediary Determinants of Hypertension in Bangladesh

2021 ◽  
Vol 18 (11) ◽  
pp. 5646
Author(s):  
Sally Sonia Simmons ◽  
John Elvis Hagan ◽  
Thomas Schack
Keyword(s):  
Public Health ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Odds Ratio ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Anthropometric Indices ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio

Hypertension is a major public health burden in Bangladesh. However, studies considering the underlying multifaceted risk factors of this health condition are sparse. The present study concurrently examines anthropometric parameters and intermediary factors influencing hypertension risk in Bangladesh. Using the 2018 World Health Organisation (WHO) STEPwise approach to non-communicable disease risk factor surveillance (STEPS) study conducted in Bangladesh and involving 8019 nationally representative adult respondents, bivariate and multivariate logistic regression analyses were performed to determine the association between anthropometrics, other intermediary factors and hypertension. The regression results were presented using the odds ratio (OR) and adjusted odds ratio (AOR) at 95% confidence intervals (CIs). The risk of hypertension was higher among females and males who were 40 years and older. However, among females, those who were age 60 years and older were more than twice and thrice more likely to be hypertensive compared to those in the younger age groups (18–39, 40–59). Females who were obese (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]) or had high waist circumference [WC] were twice as likely to be hypertensive. Males and females who were physically active, consuming more fruits and vegetables daily and educated had lower odds of developing hypertension. Key findings suggest that the association between anthropometric indices (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]), waist circumference [WC]), other intermediary determinants (e.g., education, physical activity) and hypertension exist across gender and with increasing age among adults in Bangladesh. Developing appropriate public health interventions (e.g., regular assessment of anthropometric parameters) for early identification of the risk and pattern of hypertension through appropriate screening and diagnosis is required to meet the specific health needs of the adult Bangladesh population.

scholarly journals Optimal cutoff values for anthropometric indices of obesity as discriminators of metabolic abnormalities in Korea: results from a Health Examinees study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sooyoung Cho ◽  
Aesun Shin ◽  
Ji-Yeob Choi ◽  
Sang Min Park ◽  
Daehee Kang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Metabolic Abnormalities ◽  
Height Ratio ◽  
Optimal Cutoff ◽  
Waist To Hip Ratio ◽  
Cutoff Values ◽  
Waist To Height Ratio ◽  
Conicity Index

Abstract Background Obesity is well known as a risk factor for cardiovascular disease. We aimed to determine the performance of and the optimal cutoff values for obesity indices to discriminate the presence of metabolic abnormalities as a primary risk factor for cardiovascular diseases in a Health Examinees study (HEXA). Methods The current study analyzed 134,195 participants with complete anthropometric and laboratory information in a Health Examinees study, consisting of the Korean population aged 40 to 69 years. The presence of metabolic abnormality was defined as having at least one of the following: hypertension, hyperglycemia, or dyslipidemia. The area under the receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs) were calculated for body mass index, waist to hip ratio, waist to height ratio, waist circumference, and conicity index. Results The AUC of metabolic abnormalities was the highest for waist-to-height ratio (AUC [95% CIs], 0.677 [0.672–0.683] among men; 0.691 [0.687–0.694] among women), and the lowest for the C index (0.616 [0.611–0.622] among men; 0.645 [0.641–0.649] among women) among both men and women. The optimal cutoff values were 24.3 kg/m2 for the body mass index, 0.887 for the waist-to-hip ratio, 0.499 for the waist-to-height ratio, 84.4 cm for waist circumference and 1.20 m3/2/kg1/2 for the conicity index among men, and 23.4 kg/m2 for the body mass index, 0.832 for the waist-to-hip ratio, 0.496 for the waist-to-height ratio, 77.0 cm for the waist circumference and 1.18 m3/2/kg1/2 for the conicity index among women. Conclusion The waist-to-height ratio is the best index to discriminate metabolic abnormalities among middle-aged Koreans. The optimal cutoff of obesity indices is lower than the international guidelines for obesity. It would be appropriate to use the indices for abdominal obesity rather than general obesity and to consider a lower level of body mass index and waist circumference than the current guidelines to determine obesity-related health problems in Koreans.

Waist-to-Height Ratio Is a Better Predictor of Hyperuricemia than Body Mass Index and Waist Circumference in Chinese

2019 ◽  
Vol 75 (3) ◽  
pp. 187-194 ◽  
Author(s):  
Zhi-pei Huang ◽  
Bi-xia Huang ◽  
Hui Zhang ◽  
Ming-fan Zhu ◽  
Hui-lian Zhu
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Linear Trend ◽  
Roc Curves ◽  
Height Ratio ◽  
Cross Sectional ◽  
Predictive Values ◽  
Significant Difference ◽  
Waist To Height Ratio

Objective: Our study aimed to compare the predictive value of waist-to-height ratio (WHtR) for hyperuricemia with body mass index (BMI) and waist circumference (WC). Methods: This is a cross-sectional study of 9,206 South China residents (male/female: 4,433/4,773) aged 18–89 years recruited during years 2009–2010 and 2014–2015. Anthropometric measurements, serum uric acid, blood pressure, and plasma glucose, lipid, lipoprotein, and transferase levels were measured. Receiver operating characteristic (ROC) curve and logistic regression analyses were applied to evaluate the predictive values of anthropometric indices for hyperuricemia. Results: The prevalence of hyperuricemia increased significantly with higher quartiles of WHtR in both genders. The best cutoff points of WHtR to predict hyperuricemia are 0.52 for men and 0.49 for women and differed between different BMI and WC stratums. Although there was no significant difference between the area under the ROC curves, subjects in the top quartile of WHtR were at a highest risk of hyperuricemia (p for linear trend <0.001) and the adjusted ORs of WHtR (2.24–2.77 in men and 2.66–4.95 in women) were higher than those of BMI or WC in the multivariable regression model. Conclusions: WHtR was an independent and better predictor of hyperuricemia compared with BMI and WC.

scholarly journals Markers of adiposity in HIV/AIDS patients: Agreement between waist circumference, waist-to-hip ratio, waist-to-height ratio and body mass index

PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0194653 ◽  
Author(s):  
Christian Akem Dimala ◽  
Roland Cheofor Ngu ◽  
Benjamin Momo Kadia ◽  
Frank-Leonel Tianyi ◽  
Simeon Pierre Choukem
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Height Ratio ◽  
Aids Patients ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio ◽  
Hiv Aids
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