Difference of Prevalence and Cardiovascular Risk between Waist Circumference and Waist-Height Ratio in Diagnostic Criteria of Metabolic Syndrome

2017 ◽  
Vol 7 (2) ◽  
pp. 202-206
Author(s):  
Seung-kyu Kwon ◽  
Eun-jung Kim ◽  
In-sung Kim ◽  
Dong-hyuk Park ◽  
Der-lih Wang
Author(s):  

Objective: To correlate anthropometric parameters and biochemical markers of cardiovascular risk in chronic renal patients undergoing hemodialysis. Methods: Cross-sectional observational study, carried out at the Instituto de Medicina Integral Professor Fernando Figueira – Imip (Recife-PE), from July to October 2018. Anthropometric parameters were analyzed: The anthropometric measurements used were waist circumference (WC) and waist-height ratio (WHT), sociodemographic data (sex and base disease) and biochemical parameters (HDL, LDL, Total Cholesterol, Triglycerides, Vitamin D, phosphorus, calcium, potassium and parathyroid hormone). Results: Fifty-nine patients with CKD were evaluated in a regular HD program. and males (54.2%). The majority of the population had an undetermined disease (44.1%). Regarding anthropometry, it was observed that there was a predominance in the change in waist circumference (57.6%) and waist/height ratio (59.3%). Regarding the biochemical profile, through pearson’s correlation, it was observed that there was a significant positive association of WC and WHT with phosphorus (ρ*=0.305 and 0.329). In the correlation of WC and WHT with vitamin D, it was seen that as these anthropometric indices increase, vitamin D decreases, making this correlation significant (ρ*=-0.435 and -0.368). Conclusion: It can be concluded that most patients presented inadequate nutritional status, as well as decreased serum vitamin D levels and changes in serum phosphorus levels. These changes may result in increased risk for cardiovascular events in this population.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Abdulbari Bener ◽  
Mohammad T. Yousafzai ◽  
Sarah Darwish ◽  
Abdulla O. A. A. Al-Hamaq ◽  
Eman A. Nasralla ◽  
...  

Aim. The aim was to compare body mass index (BMI), waist circumference (WC), waist hip ratio (WHR), and waist height ratio (WHtR) to identify the best predictor of metabolic syndrome (MetS) among Qatari adult population.Methods. A cross-sectional survey from April 2011 to December 2012. Data was collected from 1552 participants followed by blood sampling. MetS was defined according to Third Adult Treatment Panel (ATPIII) and International Diabetes Federation (IDF). Receiver operating characteristics (ROC) curve analysis was performed.Results. Among men, WC followed by WHR and WHtR yielded the highest area under the curve (AUC) (0.78; 95% CI 0.74–0.82 and 0.75; 95% CI 0.71–0.79, resp.). Among women, WC followed by WHtR yielded the highest AUC (0.81; 95% CI 0.78–0.85 & 0.79; 95% CI 0.76–0.83, resp.). Among men, WC at a cut-off 99.5 cm resulted in the highest Youden index with sensitivity 81.6% and 63.9% specificity. Among women, WC at a cut-off 91 cm resulted in the highest Youden index with the corresponding sensitivity and specificity of 86.5% and 64.7%, respectively. BMI had the lowest sensitivity and specificity in both genders.Conclusion. WC at cut-off 99.5 cm in men and 91 cm in women was the best predictor of MetS in Qatar.


Autism ◽  
2021 ◽  
pp. 136236132098772
Author(s):  
Patricia Esteban-Figuerola ◽  
Paula Morales-Hidalgo ◽  
Victoria Arija-Val ◽  
Josefa Canals-Sans

Overweight and obesity have been reported to be more prevalent in populations with autism spectrum disorder than in children with typical development. The aim of this study was to compare the anthropometric status of children with autism spectrum disorder (diagnosed and subclinical) and children with typical development and analyse which variables can affect the anthropometric and health status of children with autism spectrum disorder. We present a two-phase epidemiological study in a school population of two age groups which assesses autism spectrum disorder diagnosis, anthropometric data and bioelectrical impedance analysis. From an initial sample of 3,713 children, 79 with autism spectrum disorder, 42 with subclinical autism spectrum disorder and 350 with typical development participated in the study. Pre-schoolers with autism spectrum disorder were taller than pre-schoolers with typical development. School-age children with autism spectrum disorder showed a significantly higher body mass index and rate of overweight/obesity than children with typical development (63.4% vs 46.3%). No significant differences were found for bioelectrical impedance analysis, but school-age children with autism spectrum disorder showed a significantly higher waist circumference, waist/height ratio and cardiovascular risk than children with typical development. The quality of the diet was lower in children with autism spectrum disorder than in children with typical development. Multiple regression analyses showed that having autism spectrum disorder and internalizing psychological problems were associated with waist/height ratio and high cardiovascular risk in school-age children. Lay abstract This study makes a comparison between the growth status of pre-school and school-age children with autism spectrum disorder and typical development children. Pre-schoolers with autism spectrum disorder were taller than children with typical development. School-age children with autism spectrum disorder were more overweight/obese, had more body fat and a greater waist circumference and waist/height ratio than children with typical development. The presence of autism spectrum disorder and internalizing problems was associated with cardiovascular risk in school-age children.


2014 ◽  
Author(s):  
Isaac E Kuzmar ◽  
Ernesto Cortés-Castell ◽  
Mercedes Rizo

Objective: To evaluate the effectiveness of telenutrition versus traditional nutritional consultation for obese patients. Methods: A comparative clinical study was conducted among 233 (including 20 dropouts and 60 failures) obese or overweight women who consulted a nutrition clinic in Barranquilla (Colombia) for nutritional assessment by telenutrition or traditional attention that includes a weekly follow-up consultation over 16 weeks, food consumption patterns, Body Mass Index (BMI, kg/m2) register, waist and hip circumference register. Treatment response and difference between telenutrition and traditional consultation were made according to BMI, waist, hip and initial-waist/height ratio. Data´s nonparametric statistical comparison was made. Results: In 68 (29.2%) women who chose traditional attention, 9 (37.5%) dropped out, 24 (40%) failed and 35 (23.5%) were successful, showing 1.4%(1.0 SD) BMI loss, 5.8% (3.4 SD) in waist circumference, 4.5% (2.8 SD) in hip circumference and 0.04% (0.02 SD) in iwaist/height ratio. In 165 (70.8%) women who chose telenutrition, 15 (62.5%) dropped out, 36 (60%) failed and 114 (76.5%) were successful, showing 1.1% (1.0 SD) BMI loss, 5.0% (3.2 SD) in waist circumference, 3.5% (3.1 SD) in hip circumference and 0.03% (0.02 SD) in iwaist/height ratio. A significance level of p<0.05 is considered. Conclusion: Telenutrition has a failure or dropout risk factor about half values of traditional consultation with slightly statistically significant differences. This study concludes that telenutrition can support or sometimes replace the traditional consultation when developing weight loss programs in obese women.


2020 ◽  
Vol 13 (1) ◽  
pp. 316-322
Author(s):  
Qassim I. Muaidi ◽  
Mohammad Ahsan

Background: Good health is very important in our lives and plays a significant role. Many health risks are associated with an unhealthy lifestyle. These risks are responsible for raising the risk of chronic heart diseases and other health complications. Females are not exempted from these issues. Objective: To identify the obesity-associated health risks of female students by using selected anthropometric measurements. Methods: A cross-sectional study was conducted including 300 females aged 20.82 ± 5.23 years from the college of applied medical sciences, Imam Abdulrahman bin Faisal University. The anthropometric measurements (body mass index, percentage of body fat, visceral fat area, waist circumference, waist-hip ratio,and waist-height ratio) were taken with the help of an auto-calibrated bioelectric impedance device. The waist-height ratio was determined by dividing waist circumference with height. Cross tabulation was done to scrutinize the participant’s levels at risk and high risk. Linear regression analysis was done to see the relationship and prediction between selected anthropometric measurements. Results: The finding showed that BMI level was high in 55% of participants, Waist-height ratio over the average level was 46.67% and 21% of participants had a visceral fat area on risk. Linear regression analysis showed a strong association among body mass index, percentage of body fat, visceral fat area, waist circumference, waist-hip ratio,and waist-height ratio and statistically significant to each other at the 0.01 level. Conclusion: The selected anthropometric measurements can be used to identify health-related risks. Though, when any anthropometric measurement dichotomized as standard or high, BMI is the best measure to predict health risk.


Author(s):  
Sanam Anwar ◽  
Bushra Aleem ◽  
Hajir H. Rashid ◽  
Ghadeer J. Moslhey

Background: The global prevalence of obesity has been increasing. Body mass index, waist circumference and waist height ratio have been widely used for nutritional assessment. Waist height ratio has the advantage of taking into account abdominal obesity as well as height associated with body fat accumulation or distribution. The objective of this study was to suggest cut off points for waist circumference and waist height ratio to identify overweight in Omani adults.Methods: Weight, height, waist circumference and waist height ratio were measured for all participants. Pearson’s correlation was used to determine correlation of BMI with waist circumference and waist height ratio. ROC curve was used to identify AUC and specific cut off point for anthropometric indicators.Results: The largest proportion of overweight was picked up by waist height ratio across both the genders. Correlation of BMI with waist height ratio was stronger (r=0.699) than correlation with waist circumference (r=0.589) for both the genders. Maximum AUC was for waist height ratio in males (AUC=0.833, 95% CI=0.791-0.875). The specific cut off point for waist circumference in males and females was 89.5cm and 87.6cm respectively. The specific cut off point for waist height ratio in males and females was 0.53 and 0.57 respectively.Conclusions: Maximum participants were found overweight by waist height ratio followed by waist circumference and the least by BMI. The higher cut off points should be used in this population for identifying overweight people.


2019 ◽  
Vol 37 (3) ◽  
pp. 332-337 ◽  
Author(s):  
Flávio Ricardo Guilherme ◽  
Matheus Amarante do Nascimento ◽  
Carlos Alexandre Molena-Fernandes ◽  
Vânia Renata Guilherme ◽  
Stevan Ricardo dos Santos ◽  
...  

ABSTRACT Objective: To investigate the difference in the proportion of students with metabolic syndrome, diagnosed according to different criteria. Methods: The sample consisted of 241 students (136 boys and 105 girls) aged 10 to 14 years, from public and private schools in Paranavaí, Paraná. We used three distinct diagnostic criteria for metabolic syndrome, considering the presence of at least three of the following risk factors: increased waist circumference, hypertension, fasting hyperglycemia, low HDL-C, and elevated triglycerides. Results: The prevalence of metabolic syndrome found was 1.7% (confidence interval of 95% - 95%CI 0-3.3) for the IDF criterion; 3.3% (95%CI 1.0-5.6) for Cook; and 17.4% (95%CI 12.6-22.3) for Ferranti. Analyzing the criteria in pairs, the agreement between IDF and Cook was 97.5% (k=0.95); between IDF and Ferranti, 83.4% (k=0.67); and between Cook and Ferranti, 85.9% (k=0.72). Onlyone student (0.4%) was diagnosed with metabolic syndrome solely by the IDF criterion, while 34 (14.1%) were diagnosed exclusively by Ferranti. The comparison of the three criteria showed that Ferranti presented the highest proportion of metabolic syndrome (p<0.001), and Cook had a greater proportion than IDF (p<0.001). Conclusions: We found a significant difference in the proportion of metabolic syndrome in the three criteria. The choice of which criterion to use can compromise not only the percentage of metabolic syndrome prevalence but also interfere in strategies of intervention and prevention in children and adolescents with and without metabolic syndrome, respectively.


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