scholarly journals Evaluation of anthropometric indices as metabolic syndrome predictors in Ecuadorian Military Personnel

2020 ◽  
Vol 41 (2) ◽  
pp. 141-147
Author(s):  
Germán Muñoz ◽  
Alberth Patricio Muñoz Gualan
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Military Personnel ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Low Prevalence ◽  
Waist Height Ratio

Anthropometric measurements are simple and effective techniques for central or abdominal obesity evaluation. Although it is known their good predicting value, there is not a consensus about which is best in Metabolic Syndrome (MetSyn) diagnostic, using ATP III criteria. Anthropometric measurements included waist circumference (WC), waist hip ratio (WHR), waist height ratio (WHtR) and body mass index (BMI). This study aimed to determine the prevalence of MetSyn and compare anthropometric indices for optimal predicting value with their respective cut-offs for MetSyn diagnosis among army members in ESFORSE, Ecuador. The study includes 181 participants (175 male and 6 female), with mean age 37 ± 6 years, MetSyn prevalence is 8%, with WC (p <.001), WHtR (p. .009) and WHR (p .020) as variables statistically significant. We analyzed the area under the curve (AUC) in a receiver operating characteristic (ROC) curve, in anthropometric measurements. Thus, WC and WHtR represent the highest AUC (WC: 0.77, 95% CI 0.69-0.86; WHtR: 0.70, 95% CI 0.59-0.82). The optimal cut-off values for predicting MetSyn are 92 cm in WC, 0.52 in WHtR and 0.93 in WHR. Therefore, the army members have a low prevalence of MetSyn, with WC as the best predicting value.

scholarly journals Evaluation of anthropometric indices as metabolic syndrome predictors in Ecuadorian Military Personnel

2020 ◽  
Vol 41 (2) ◽  
pp. 141-147
Author(s):  
Germán Muñoz ◽  
Alberth Patricio Muñoz Gualan
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Military Personnel ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Low Prevalence ◽  
Waist Height Ratio

Anthropometric measurements are simple and effective techniques for central or abdominal obesity evaluation. Although it is known their good predicting value, there is not a consensus about which is best in Metabolic Syndrome (MetSyn) diagnostic, using ATP III criteria. Anthropometric measurements included waist circumference (WC), waist hip ratio (WHR), waist height ratio (WHtR) and body mass index (BMI). This study aimed to determine the prevalence of MetSyn and compare anthropometric indices for optimal predicting value with their respective cut-offs for MetSyn diagnosis among army members in ESFORSE, Ecuador. The study includes 181 participants (175 male and 6 female), with mean age 37 ± 6 years, MetSyn prevalence is 8%, with WC (p <.001), WHtR (p. .009) and WHR (p .020) as variables statistically significant. We analyzed the area under the curve (AUC) in a receiver operating characteristic (ROC) curve, in anthropometric measurements. Thus, WC and WHtR represent the highest AUC (WC: 0.77, 95% CI 0.69-0.86; WHtR: 0.70, 95% CI 0.59-0.82). The optimal cut-off values for predicting MetSyn are 92 cm in WC, 0.52 in WHtR and 0.93 in WHR. Therefore, the army members have a low prevalence of MetSyn, with WC as the best predicting value.

scholarly journals FRAILTY SYNDROME AND ANTHROPOMETRIC MEASUREMENTS IN THE ELDERLY LIVING AT HOME

2017 ◽  
pp. 1-7
Author(s):  
R.A. Partezani Rodrigues ◽  
J.R. Silva Fhon ◽  
V.M. Rojas Huayta ◽  
W.L. Fuentes Neira ◽  
M. de Lourdes de Farias Pontes ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
The Elderly ◽  
Anthropometric Measurements ◽  
Frailty Syndrome ◽  
Height Ratio ◽  
Anthropometric Measures ◽  
Waist Height Ratio ◽  
At Home

Disturbance in the nutritional status in the elderly can change anthropometric measurements. These changes on their body could associated with frailty syndrome. The aim was to assess the frailty syndrome and its association with demographic variables and anthropometric measures. Cross-sectional study with 235 elderly people living at home. Descriptive statistics applied were measures of central tendency and dispersion, with frequencies for the qualitative variables. Student’s t test was used to compare the means of sex with age, weight, height, waist circumference, waist/height ratio, body mass index and frailty and multinomial logistic regression analysis between categories of frailty and demographic and anthropometric variables. It was significant p≤0.05. There was a relationship between gender and body weight, waist circumference and the waist/height ratio; the data also showed that frailty increases with age. It was found that having a waist/height ratio ≥0.50 and a body mass index ≥27 increased the risk of frailty. The study shows that the association between frailty and anthropometric measures should be a priority in elderly care.

scholarly journals Obesity Index That Better Predict Metabolic Syndrome: Body Mass Index, Waist Circumference, Waist Hip Ratio, or Waist Height Ratio

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Abdulbari Bener ◽  
Mohammad T. Yousafzai ◽  
Sarah Darwish ◽  
Abdulla O. A. A. Al-Hamaq ◽  
Eman A. Nasralla ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Sensitivity And Specificity ◽  
Youden Index ◽  
Operating Characteristics ◽  
Height Ratio ◽  
Waist Hip Ratio ◽  
Waist Height Ratio

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.

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 A Cross-Sectional Study: Predicting Health Risks Among Female University Students

2020 ◽  
Vol 13 (1) ◽  
pp. 316-322
Author(s):  
Qassim I. Muaidi ◽  
Mohammad Ahsan
Keyword(s):  
Waist Circumference ◽  
Health Risks ◽  
Visceral Fat ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Visceral Fat Area ◽  
Cross Sectional ◽  
Waist Height Ratio

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.

scholarly journals Which is a better marker for overweight: waist height ratio or waist circumference?

2019 ◽  
Vol 7 (2) ◽  
pp. 462
Author(s):  
Sanam Anwar ◽  
Bushra Aleem ◽  
Hajir H. Rashid ◽  
Ghadeer J. Moslhey
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Fat ◽  
Roc Curve ◽  
Nutritional Assessment ◽  
Height Ratio ◽  
Overweight People ◽  
Prevalence Of Obesity ◽  
Males And Females ◽  
Waist Height Ratio

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.

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