scholarly journals Preditores antropométricos de hipertensão arterial sistêmica em mulheres afrodescendentes

2017 ◽  
Vol 27 (3) ◽  
pp. 27527 ◽  
Author(s):  
Bruna Merten Padilha ◽  
Alcides Da Silva Diniz ◽  
Haroldo Da Silva Ferreira ◽  
Marília Tokiko Oliveira Tomiya ◽  
Poliana Coelho Cabral
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Arterial Hypertension ◽  
Body Fat ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Waist To Hip Ratio ◽  
Systemic Arterial Hypertension ◽  
Waist To Height Ratio ◽  
Conicity Index

***Anthropometric predictors of hypertension in afro-descendant women***AIMS: To determine the association between anthropometric parameters and systemic arterial hypertension and to identify the best anthropometrics predictors of this disease in afro-descendant women from remaining quilombo communities.METHODS: A cross-sectional study was conducted with quilombola women from Alagoas State. Blood pressure, anthropometric parameters (body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, conicity index, body fat), sociodemographic variables, smoking and parity were investigated. The associations between anthropometric parameters and systemic arterial hypertension were investigated using Poisson regression with robust variance adjustment. The ability of these parameters to predict the presence of systemic arterial hypertension was analyzed using Receiver Operating Characteristic (ROC) curves.RESULTS: A total of 1,553 women, aged between 20 and 59 years, were evaluated. The prevalence of systemic arterial hypertension was 35.8% and that of overweight was 48.5%. The presence of systemic arterial hypertension was associated with body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, and body fat, even after adjusting for age, socioeconomic class, and smoking status. From the ROC curves, the following cutoff points were found: body mass index ≥26.2 kg/m², waist circumference ≥81.6 cm, waist-to-hip ratio ≥0.84, waist-to-height ratio ≥0.54, conicity index ≥1.20 and body fat ≥35.4%. Body fat, waist-to-hip ratio and waist-to-waist ratio were equally able to predict systemic arterial hypertension.CONCLUSIONS: All indicators of global obesity and those of central obesity, except for the conicity index, were associated with systemic arterial hypertension in this sample of Afro-descendant quilombola women. Percentage of body fat, waist-to-hip ratio and waist-to-height ratio were the best anthropometric predictors of systemic arterial hypertension. These measures had equal, albeit low, discriminatory power for the presence of systemic arterial hypertension in this population.

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.

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.

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