P115 Determination of waist circumference and correlation of waist-to-height ratio in adolescents as a prediction tool of high blood pressure

2020 ◽  
Vol 41 (Supplement_1) ◽  
Author(s):  
A Kerimkulova ◽  
A S Ospanova ◽  
R G Nurpeissova ◽  
G M Kamalbekova ◽  
T H Rymbaeva
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
High Blood Pressure ◽  
Abdominal Obesity ◽  
Occurrence Rate ◽  
Childhood And Adolescence ◽  
Height Ratio ◽  
Cross Sectional ◽  
Major Health Problem ◽  
Waist To Height Ratio

Abstract Introduction The obesity and overweight epidemic, together with increasing cardiovascular disease, represent a major health problem worldwide, and their occurrence in childhood and adolescence has increased in recent time. Purpose to assess the association of  waist circumference (WC) and waist-to-height ratio (WHtR) coefficient with occurrence rate in adolescents with high blood pressure. Materials and methods The results of a single-step cross-sectional study of teenagers aged 12-13 years studied in 12 secondary schools in our city (Kazakhstan) are presented. The study included adolescents in the amount of 1519 (average age, standard deviation 12.3 + 0.46 years). For representing the outcomes there were used  the measurement of weight, height, BMI, WC, WHtR and the blood pressure of adolescents. Criteria for BP: normal BP (SBP and DBP <89th percentile); high normal BP (SBP and DBP ≤90 and 94th percentile); arterial hypertension (SBP and DBP > 95th percentile). ROC analysis was used to study the relationship between WC, WHtR and BMI. The distinctive impact of  WC or WHtR on the development of these states was expressed as the area under the curve (AUC 95% CI). Results From 1519 studied teenagers of 12-13 years, boys were 49.1% (n = 745), girls 50.9% (n = 774). Population with normal BP composed 62.7%, normal raised BP - 24.8%, hypertension - 12.4%, WC˂90th percentile at 98.5% (n = 939). The distribution by sex was: girls are more likely to have abdominal obesity than boys, (χ²=19.940, df = 1, р˂0.001). An elevated level of  WHtR was detected in 7.6% (n = 115) of adolescents. Among boys were 7.7% (n = 57) and girls 7.5% (n = 58), χ²=0.013, df = 1, p = 0.908. ). Girls (10.8%) with high blood pressure have increase WC than boys (2.1%), χ²=26.689, df = 1, р˂0.001. Adolescents with high blood pressure have enhanced WHtR - 12.2% than adolescents with normal blood pressure (2.7%), χ²=27.518, df = 1, р˂0.001. Increase of WC > 90th percentile enhances with 4.5 times (95% CI: 2.44-8.53) and WHtR with 2.7 times (95% CI: 1.85-4.04) in adolescents with high blood pressure. WC (AUC = 832; 95% CI: 0.792-0.872) and WHtR (AUC = 0.812; 95% CI: 0.770-0.854was a better predictor of abdominal obesity than BMI. Conclusions. Indicators of  WC, WHtR indicating to the presence of abdominal obesity to identify risk factors for the development of high blood pressure. Participants with increase of  WC > 90th percentile were 4.5 times and WHtR were 2.7 times more likely to have high blood pressure.

scholarly journals BMI, waist to height ratio and waist circumference as a screening tool for hypertension in hospital out patients: a cross-sectional study

2020 ◽  
Author(s):  
Rajan Shrestha ◽  
Bijay Khatri ◽  
Madan P. Upadhyay ◽  
Janak R. Bhattarai ◽  
Manish Kayastha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Waist Circumference ◽  
Area Under The Curve ◽  
Overweight And Obesity ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Cross Sectional ◽  
High Waist Circumference ◽  
Waist To Height Ratio

Abstract Background: Obesity has become a global epidemic with a rise in noncommunicable diseases. It is now becoming the problem of low- and middle-income countries such as Nepal. Conventional risk factors are present in a high proportion in the Nepalese population. As a routine surveillance or registry system is absent, the actual burden and trend of obesity and hypertension in Nepal are unknown. Hypertension and other cardiovascular diseases can be prevented by detecting risk factors such as obesity and high blood pressure. A simple anthropometric measurement could be used to determine the risk of hypertension. However, the best predictor of hypertension remains contentious and controversial. We aimed to determine the burden of obesity and hypertension and test the ability to determine hypertension through different anthropometric measurements in hospital outpatients in a low-income setting.Methods: This hospital-based cross-sectional descriptive study was conducted from June to December 2019 among 40-69 year outpatients in a tertiary eye and ENT hospital in a semi-urban area of Nepal among a randomly selected sample of 2,256 participants from 6,769 outpatients visited in Health Promotion and risked factor screening service. We performed a correlation analysis to determine the relationship between anthropometric measurements and blood pressure. The area under the receiver operating characteristic (ROC) curve of body mass index (BMI), waist to height ratio (WHtR) and waist circumference (WC) was calculated and compared.Results: The mean (SD) age of the participants was 51.75 (8.47) years. The overall prevalence of obesity and overweight by BMI was 16.09% and 42.20%, respectively. The overall prevalence of abdominal obesity by waist-to-height ratio was 32.76%, which is higher than obesity by BMI. High waist circumference was observed among 66.76% participants, whereas female participants had a very higher prevalence of high waist circumference (77.46%) and male participants (53.73%) (p<0.001). The prevalence of hypertension among the participants with BMI≥25 kg/m2, WHtR≥0.5 and WC≥ cutoff values was 45.97%, 42.52% and 45.28%, respectively. The overall prevalence of hypertension and prehypertension was 40.67% and 36.77%, respectively. Male participants had a slightly higher prevalence of hypertension (42.72%) than female participants (39.00%). The areas under the curve (AUCs) were significantly higher than 0.5 for BMI (0.570, 95% CI: 0.548-0.592), WC (0.585, 95% CI: 0.563-0.607) and WHtR (0.586, 95% CI: 0.564-0.608). In both genders, the area under the curve was significantly higher than 0.5 (P<0.01). In all age groups, the area under the curve was also significantly higher than 0.5.Conclusion: Waist circumference was both correlated as well as had higher predictive capacity amongst WHtR and BMI and may play a major role in the future diagnosis of HTN in Nepali adults. Regardless of the anthropometric metrics used to measure overweight and obesity, the hospital setting is an opportunity centre to screen for overweight, obesity and hypertension, which are major risk factors for NCDs.

scholarly journals Comparisons of body mass index, waist circumference, waist-to-height ratio and a body shape index (ABSI) in predicting high blood pressure among Malaysian adolescents: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e032874 ◽  
Author(s):  
Joyce Ying Hui Tee ◽  
Wan Ying Gan ◽  
Poh Ying Lim
Keyword(s):  
Blood Pressure ◽  
High Blood Pressure ◽  
Body Shape ◽  
Shape Index ◽  
Cross Sectional Study ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Waist To Height Ratio ◽  
A Body Shape Index

ObjectiveTo compare the performance of different anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and a body shape index to predict high blood pressure (BP) in adolescents using the 90th and 95th percentiles as two different thresholds.DesignCross-sectional study.SettingProbability proportionate to size was used to randomly select two schools in Selangor state, Malaysia.ParticipantsA total of 513 adolescents (58.9% women and 41.1% men) aged 12–16 years were recruited.Primary and secondary outcome measuresWeight, height, WC and BP of the adolescents were measured. The predictive power of anthropometric indices was analysed by sex using the receiver operating characteristic curve.ResultsBMI and WHtR were the indices with higher areas under the curve (AUCs), yet the optimal cut-offs to predict high BP using the 95th percentile were higher than the threshold for overweight/obesity. Most indices showed poor sensitivity under the suggested cut-offs. In contrast, the optimal BMI and WHtR cut-offs to predict high BP using the 90th percentile were lower (men: BMI-for-age=0.79, WHtR=0.46; women: BMI-for-age=0.92, WHtR=0.45). BMI showed the highest AUC in both sexes but had poor sensitivity among women. WHtR presented good sensitivity and specificity in both sexes.ConclusionsThese findings suggested that WHtR might be a useful indicator for screening high blood pressure risk in the routine primary-level health services for adolescents. Future studies are warranted to involve a larger sample size to confirm these findings.

scholarly journals Are 24 h urinary sodium excretion and sodium:potassium independently associated with obesity in Chinese adults?

2015 ◽  
Vol 19 (6) ◽  
pp. 1074-1080 ◽  
Author(s):  
Zeng Ge ◽  
Jiyu Zhang ◽  
Xiaorong Chen ◽  
Liuxia Yan ◽  
Xiaolei Guo ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Abdominal Obesity ◽  
Linear Trend ◽  
Sampling Strategy ◽  
Urinary Sodium Excretion ◽  
Overweight And Obesity ◽  
Chinese Adults ◽  
Height Ratio ◽  
Cross Sectional ◽  
Waist To Height Ratio

AbstractObjectiveTo examine the association of 24 h urinary Na excretion and Na:K with obesity in Chinese adults.DesignPopulation-based cross-sectional study using a four-stage stratified sampling strategy.SettingShandong Province, China.SubjectsChinese adults (n 1906) aged 18–69 years who provided complete 24 h urine samples.ResultsOdds of obesity increased significantly across increasing quartiles of urinary Na excretion (1·00, 1·54, 1·69 and 2·52, respectively, for overweight; 1·00, 1·20, 1·50, and 2·03, respectively, for obesity; 1·00, 1·44, 1·85 and 2·53, respectively, for abdominal obesity (assessed by waist circumference); and 1·00, 1·28, 1·44 and 1·75, respectively, for abdominal obesity (assessed by waist-to-height ratio); P for linear trend <0·001 for all). In addition, odds of abdominal obesity, but not odds of overweight and obesity, increased significantly with successive Na:K quartiles. Additionally, for each increment in urinary Na excretion of 100 mmol, odds of overweight, obesity, abdominal obesity (by waist circumference) and abdominal obesity (by waist-to-height ratio) increased significantly by 46 %, 39 %, 55 % and 33 %, respectively. Similarly, with a 1 sd increase in Na:K, odds of abdominal obesity (by waist circumference) and abdominal obesity (by waist-to-height ratio) increased significantly by 12 % and 15 %, respectively.ConclusionsThese findings suggest that 24 h urinary Na excretion and Na:K might be important risk factors for obesity in Chinese adults.

scholarly journals An Interrelationship between Blood Pressure, Body Roundness Index, Waist Circumference, and Waist to Height Ratio

2019 ◽  
Vol 5 ◽  
pp. 1
Author(s):  
Ashok K. Jeppu ◽  
Kavitha A. Kumar ◽  
◽  
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
Cardiovascular Complications ◽  
Cross Sectional Study ◽  
The Body ◽  
Abdominal Adiposity ◽  
Height Ratio ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Waist To Height Ratio

Obesity is a global epidemic. Obesity related comorbidities include hypertension, diabetes, dyslipidemia, obstructive sleep apnea, and sudden death. Abdominal adiposity has been blamed for causing cardiovascular complications. The body roundness index (BRI) has been considered to be a superior anthropometric measure for abdominal adiposity. The aim of the study was to find the relationship of blood pressure in healthy individuals to BRI, waist circumference (WC), and waist to height Ratio (WHtR). It also tried to find out the relation of BRI to WC and WHtR. This cross-sectional study was conducted on 300 individuals aged between 18 and 60 years who were apparently healthy (not on any treatment or physical training) and willing to participate in this study. A structured questionnaire was used to collect the data. Parameters like height, weight, and WC were measured. BRI and WHtR were calculated. The data was analyzed using descriptive and inferential statistics. We observed that BRI was well correlated to the WC, body mass index (BMI), and WHtR. Both the systolic and diastolic blood pressure correlated well with BRI. BRI and WHtR, both are good parameters to evaluate the blood pressure of an individual.

scholarly journals Body mass index and waist-to-height ratio cut-offs as predictors of high blood pressure in adolescents

2015 ◽  
Vol 24 (1) ◽  
pp. 30-5 ◽  
Author(s):  
Kurnia Febriana ◽  
Neti Nurani ◽  
Madarina Julia
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Sensitivity And Specificity ◽  
High Blood Pressure ◽  
Standard Technique ◽  
Height Ratio ◽  
Cross Sectional ◽  
Increased Risk ◽  
Waist To Height Ratio

Background: Obesity is associated with increased risk for high blood pressure (BP). Although a routine BP measurement is indicated for all children visiting pediatric practice, recognition of children particularly at risk may save times. The aim of this study was to assess the cut-off point for body mass index (BMI) and waist-to-height ratio (WHtR) to predict high BP in adolescents. Methods: We conducted a cross-sectional study on 928 children aged 11 to 16 years in Yogyakarta. BP were measured using standard technique described by The Fourth Report on The Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents. BMI was adjusted for age and sex using the WHO 2007 growth reference. WHtR was ratio of waist circumference related to height in centimeters. Receiver operating characteristic (ROC) curves were used to estimate the best cut-offs. Results: The best cut-off point for BMI-for-age Z-score (BMIZ) to predict high BP was 0.51 with sensitivity and specificity of 82% (95% CI = 78-86) and 76% (95% CI = 67-78) for systolic BP and sensitivity and specificity of 82% (95% CI = 78-86) and 72% (95% CI = 68-76) for diastolic BP. The best cut-off point for WHtR was 0.45, with sensitivity of 76% (95% CI = 67-78) and specificity of 74% (95% CI = 71-79) for systolic BP and sensitivity of 76% (95% CI = 72-80) and specificity of 70% (95% CI = 61-75) for diastolic BP.Conclusion: BMIZ of 0.51 and WHtR of 0.45 are the best cut-off point to predict high BP in adolescents.

scholarly journals Waist-to-height ratio and skipping breakfast are predictive factors for high blood pressure in adolescents

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
C. Aparicio-Cercós ◽  
M. Alacreu ◽  
L. Salar ◽  
L. Moreno Royo
Keyword(s):  
Blood Pressure ◽  
High Blood Pressure ◽  
Height Ratio ◽  
Cross Sectional ◽  
School Year ◽  
Modifiable Factors ◽  
Chi Squared ◽  
Waist To Height Ratio ◽  
The University ◽  
Skipping Breakfast

Abstract The purpose of this study was to estimate the prevalence of high blood pressure (HBP) in adolescents of the Valencian Autonomous Community (VC) in Spain. Besides, its association with other risk factors related to cardiovascular disease (CVD) or arterial hypertension (AHT) in order to increase our knowledge of public health and to provide advice about healthy diets. We conducted a multicentre, observational, cross-sectional, epidemiological study in a sample of 4402 adolescents from 15 schools during the 2015–2016 school year. The participants were aged between 11 and 18 years, and any individuals already diagnosed with AHT were excluded. In addition to the Physical Activity Questionnaire for Adolescents (PAQ-A), Evaluation of the Mediterranean Diet Quality Index (KIDMED), a lifestyle habits survey, the waist-to-height ratio (WtHR), and body mass index (BMI) were calculated for each participant. Informed Consent was obtained from Parents of the adolescents involved in the current study. The study received approval from the University ethics committee and all procedures were conducted in accordance with the tenets of the Declaration of Helsinki. Chi-squared, Student t-tests, and ANOVA statistical analyses showed that 653 (14.8%) adolescents had previously undiagnosed HBP and that was significantly associated with male sex (p < 0.001), age over 15 years (p < 0.05), and height, weight, waist circumference, WtHR, BMI, and skipping breakfast. Based on the data we obtained in this study, the modifiable factors that influence HBP in adolescents were WtHR, BMI, and skipping breakfast.

scholarly journals Abdominal obesity-related risk factors in children from public schools of Barbacena, Minas Gerais, Brazil

2022 ◽  
Vol 40 ◽  
Author(s):  
Mariana das Dores Paiva Canuto ◽  
Adriele Vidal Lucas Silva ◽  
João Victor Martins ◽  
Marlene de Melo Fonseca ◽  
Nathália Sernizon Guimarães ◽  
...  
Keyword(s):  
Risk Factors ◽  
Public Schools ◽  
Waist Circumference ◽  
Abdominal Obesity ◽  
Cross Sectional Study ◽  
Minas Gerais ◽  
Height Ratio ◽  
Cross Sectional ◽  
Factors Associated ◽  
Waist To Height Ratio

ABSTRACT Objective: To evaluate the sociodemographic and lifestyle factors associated with abdominal obesity in children from public schools in Barbacena, state of Minas Gerais, Brazil. Methods: This is a cross-sectional study conducted on 326 students aged 7 to 9 years from public schools in the urban area of the city. Anthropometric data included body weight, height, body mass index according to age, waist circumference, and waist-to-height ratio. Food consumption was evaluated using the Previous Day Food Questionnaire. Abdominal obesity was assessed based on waist circumference and waist-to-height ratio. The bivariate and multivariate analyses were performed by logistic regression, estimating the crude and adjusted odds ratio (OR), with 95% confidence interval. Results: The prevalence of overweight was 30.7%; whereas the prevalence of abdominal obesity was 9.2 and 12.6% according to waist circumference and waist-to-height ratio, respectively. Boys (OR 2.76; 95%CI 1.22–6.25) and children from central schools (OR 2.73; 95%CI 1.08–6.80) presented an increased chance of abdominal obesity according to waist circumference. Abdominal obesity according to waist-to-height ratio was associated with the central location of the schools (OR 2.18; 95%CI 1.02–4.63) and the habit of skipping supper (OR 2.01; 95%CI 1.00–4.09). Conclusions: The findings showed that being a boy, studying in a central school, and skipping supper were the main risk factors associated with abdominal obesity.

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