scholarly journals A waist-to-height ratio of 0.54 is a good predictor of metabolic syndrome in 16-year-old male and female adolescents

2018 ◽  
Vol 85 (3) ◽  
pp. 269-274 ◽  
Author(s):  
Fabian Vasquez ◽  
Paulina Correa-Burrows ◽  
Estela Blanco ◽  
Sheila Gahagan ◽  
Raquel Burrows
Keyword(s):  
Metabolic Syndrome ◽  
Good Predictor ◽  
Female Adolescents ◽  
Height Ratio ◽  
Male And Female ◽  
Waist To Height Ratio

scholarly journals Body composition and risk for metabolic alterations in female adolescents

2014 ◽  
Vol 32 (2) ◽  
pp. 207-215 ◽  
Author(s):  
Eliane Rodrigues de Faria ◽  
Cristiana Araújo Gontijo ◽  
Sylvia do Carmo C. Franceschini ◽  
Maria do Carmo G. Peluzio ◽  
Silvia Eloiza Priore
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Composition ◽  
Density Lipoprotein ◽  
Female Adolescents ◽  
Fasting Insulin ◽  
Height Ratio ◽  
Metabolic Alterations ◽  
Waist To Height Ratio ◽  
Body Fat Percent

OBJECTIVE: To study anthropometrical and body composition variables as predictors of risk for metabolic alterations and metabolic syndrome in female adolescents.METHODS: Biochemical, clinical and corporal composition data of 100 adolescents from 14 to 17 years old, who attended public schools in Viçosa, Southeastern Brazil, were collected.RESULTS: Regarding nutritional status, 83, 11 and 6% showed eutrophia, overweight/obesity and low weight, respectively, and 61% presented high body fat percent. Total cholesterol presented the highest percentage of inadequacy (57%), followed by high-density lipoprotein (HDL - 50%), low-density lipoprotein (LDL - 47%) and triacylglycerol (22%). Inadequacy was observed in 11, 9, 3 and 4% in relation to insulin resistance, fasting insulin, blood pressure and glycemia, respectively. The highest values of the fasting insulin and the Homeostasis Model Assessment-Insulin Resistance(HOMA-IR) were verified at the highest quartiles of body mass index (BMI), waist perimeter, waist-to-height ratio and body fat percent. Body mass index, waist perimeter, and waist-to-height ratio were the better predictors for high levels of HOMA-IR, blood glucose and fasting insulin. Waist-to-hip ratio was associated to arterial hypertension diagnosis. All body composition variables were effective in metabolic syndrome diagnosis.CONCLUSIONS: Waist perimeter, BMI and waist-to-height ratio showed to be good predictors for metabolic alterations in female adolescents and then should be used together for the nutritional assessment in this age range.

scholarly journals METABOLICALLY HEALTHY AND UNHEALTHY OBESITY IN CHILDREN FROM THE POINT OF VIEW OF EVIDENCE-BASED MEDICINE

2020 ◽  
Vol 8 (3) ◽  
pp. 255-267
Author(s):  
V. Furdela ◽  
I. Smiian ◽  
M. Furdela
Keyword(s):  
Metabolic Syndrome ◽  
Childhood Obesity ◽  
High Risk ◽  
School Age ◽  
Metabolically Healthy Obesity ◽  
Metabolic Disturbances ◽  
Height Ratio ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio ◽  
Metabolically Healthy

Introduction. Childhood obesity and associated metabolic comorbidities is a major global health concern. Metabolic syndrome (MS) is a cluster of metabolic abnormalities that confers a substantial increase in cardiovascular disease risk. In the context of the childhood obesity pandemic, a distinct subgroup of youth with obesity less prone to the development of metabolic disturbances, called “metabolically healthy obese” (MHO), recently has come into focus. However, the diagnostic criteria of both conditions are still controversial in children. Therefore, the purpose of our research is to estimate the prevalence of metabolic syndrome and metabolically healthy obesity in school-age boys using international reference standards and to recognize the most sensitive metabolic markers. Materials and methods. This study was carried out at the Ternopil regional hospital (Western Ukraine) and involved randomly chosen 112 boys from rural and urban population; aged 10–17 years (mean ± SD, 14.6 ± 0.25). Height, weight and waist and hip circumferences were measured by standard methods in each patient. Body mass index (BMI, kg/m2), waist-to-height ratio (WtHR), waist-to-hip ratio (WHR) were calculated by common formulas. Obesity was defined as a BMI  ≥ 2SD for age and gender. Blood pressure was measured and estimated according to European Society of Hypertension guidelines (2016). Biomarkers of carbohydrate and lipid metabolism were tested. Discussion. The study identified prominent physical and metabolic differences in groups of patients with MHO and manifested MS, as well as in the high-risk group for the realization of MS. As a result of this project, MHO and MS were confirmed in 49.11 % and 9.82 % surveyed boys, respectively. The rest of teenagers (32.14 %) based on metabolic disturbances, formed a cluster of the high-risk realization of MS. Moreover, fasting hyperglycemia and glucose intolerance were identified only in patients with manifested MS in 10.91 % and 5.45 % cases, respectively. It was found that the waist-to-height ratio > 0.5 is an informative test of obesity in general, and the waist-to-hip ratio > 0.9 is a sensitive screening tool for abdominal obesity in boys in our population. Based on the results, the triglyceride index is the most sensitive biomarker of insulin resistance compared to triglyceride-to-high density lipids cholesterol ratio and atherogenic coefficient in school-age boys. The results can be applied in pediatric practice for early identification of patients with metabolically unhealthy obesity with WHR and the triglyceride index at the early preclinical stage of MS manifestation. Keywords children, metabolically healthy obesity, metabolic syndrome, triglyceride index.

scholarly journals Probability and Body Composition of Metabolic Syndrome in Young Adults: Use of the Bayes Theorem as Diagnostic Evidence of the Waist-to-Height Ratio

Stats ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Ashuin Kammar ◽  
María Hernández-Hernández ◽  
Patricia López-Moreno ◽  
Angélica Ortíz-Bueno ◽  
María Martínez-Montaño
Keyword(s):  
Metabolic Syndrome ◽  
Young Adults ◽  
Body Composition ◽  
Conditional Probability ◽  
Adult Population ◽  
Bayes Theorem ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Anthropometric Parameter ◽  
Waist To Height Ratio

Metabolic syndrome (MS) directly increases the risk of cardiovascular diseases. Childhood and adulthood have been the most studied in MS, leaving aside the young adult population. This study aimed to compare the epidemiological probabilities between MS and different anthropometric parameters of body composition. Using a cross-sectional study with the sample of 1351 young adults, different body composition parameters were obtained such as Waist Circumference (WC), Body Mass Index (BMI), Body Fat% (BF%), Waist-to-Height Ratio (WHtR), and Waist-Hip Ratio. The Bayes Theorem was applied to estimate the conditional probability that any subject developed MS with an altered anthropometric parameter of body composition. Areas under receiver operating characteristic curves (AUCs) and adjusted odds ratios of the five parameters were analyzed in their optimal cutoffs. The conditional probability of developing MS with an altered anthropometric parameter was 17% in WHtR, WC, and Waist-hip R. Furthermore, body composition parameters were adjusted by age, BMI, and gender. Only WHtR (OR = 9.43, CI = 3.4–26.13, p < 0.0001), and BF% (OR = 3.18, CI = 1.42–7.13, p = 0.005) were significant, and the sensitivity (84%) and the AUCs (86%) was higher in WHtR than other parameters. In young adults, the WHtR was the best predictor of metabolic syndrome.

scholarly journals Determinants of Metabolic Syndrome among Malaysian Government Employees

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Chee Huei Phing ◽  
Hazizi Abu Saad ◽  
Barakatun Nisak Mohd Yusof ◽  
Mohd Nasir Mohd Taib
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Fat Mass ◽  
Government Agencies ◽  
Body Fat Percentage ◽  
Government Employees ◽  
Fat Percentage ◽  
Height Ratio ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio

Introduction: The metabolic syndrome comprises a collection of cardiovascular disease risks, which has been demonstrated to predict type 2 diabetes mellitus and cardiovascular disease. Metabolic syndrome is a crucial health concern in Malaysia, with a prevalence of about 42.5% in the general population based on the ‘Harmonized’ definition. The aim of this study was to ascertain the association between socioeconomic status among Malaysian government employees with metabolic syndrome, compared with those without metabolic syndrome. Furthermore, this study also aimed to ascertain the associated obesity indicators for metabolic syndrome among employees—explicitly body mass index, waist circumference, waist-to-hip ratio, body fat percentage, fat mass index, and waist-to-height ratio. Methods: This cross-sectional study was undertaken at government agencies in Putrajaya, Malaysia, via multi-stage random sampling. A total of 675 government employees were randomly sampled from a list of 3,173 government employees working in five government agencies under five geographical areas. Data on socioeconomic status, anthropometric, biochemical, and clinical assessments were collected. Results: Employees who were males had higher metabolic syndrome prevalence compared to their counterparts (p=0.019). In addition, employees aged between 20 to younger than 30 years had lowest metabolic syndrome prevalence (p=0.002). The risk of having metabolic syndrome was almost 10 times more likely in men with a waist-to-hip ratio of ≥0.90 compared to men with a waist-to-hip ratio of <0.90 (p<0.001). Women with a waist-to-hip ratio of ≥0.85 were approximately 33 times more likely to have metabolic syndrome as compared to women with waist-tohip ratios of <0.85 (p<0.001). Men with a waist circumference of ≥90 cm were approximately twice as likely to have metabolic syndrome, compared to men with waist circumferences of <90 cm (p=0.030). The risk of having metabolic syndrome was almost three times more likely in women with a waist circumference of ≥80 cm compared to women with waist circumferences of <80 cm (p<0.001). Furthermore, the risk of having metabolic syndrome was almost five times more likely in women with fat mass indexes in Quartile 4 (≥7.93), compared to women with fat mass indexes in Quartile 1 (<5.25) [p<0.001]. On the other hand, men with waist-to-height ratios of <0.445 were 75% less likely to have metabolic syndrome as compared to men with waist-to-height ratios of ≥0.625 (p=0.020). Women with waist-to-height ratios of 0.445 to <0.525 were 95% less likely to have metabolic syndrome as compared to women with waist-to-height ratios of ≥0.625 (p<0.001). In addition, women with waist-to-height ratios of 0.525 to <0.625 were 77% less likely to have metabolic syndrome as compared to women with waist-to-height ratios of ≥0.625 (p<0.001). Conclusion: Gender and age were associated with metabolic syndrome prevalence. Waist-to-hip ratio, waist circumference, and waist-to-height ratio seems to be the better obesity indicators to predict the presence of metabolic syndrome than body mass index and body fat percentage in both men and women.

scholarly journals Waist-to-height ratio as a predictor of metabolic syndrome in a population with different degrees of glucose tolerance

2015 ◽  
Vol 7 (S1) ◽  
Author(s):  
Tássia Cividanes Pazinato ◽  
Bárbara Limberger Nedel ◽  
Anize Delfino von Frankenberg ◽  
Vanessa Piccoli ◽  
Luciana Pavan Antoniolli ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Glucose Tolerance ◽  
Height Ratio ◽  
Waist To Height Ratio

Waist-to-Height Ratio Is a Good Predictor of Metabolic Syndrome in Adolescents: A Report From the Thai National Health Examination Survey V, 2014

2021 ◽  
pp. 101053952110464
Author(s):  
Sirinapa Siwarom ◽  
Kwanchai Pirojsakul ◽  
Wichai Aekplakorn ◽  
Witchuri Paksi ◽  
Pattapong Kessomboon ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Sensitivity And Specificity ◽  
National Health ◽  
Health Examination ◽  
Z Score ◽  
Height Ratio ◽  
Cutoff Value ◽  
Health Examination Survey ◽  
Waist To Height Ratio

This study aimed to assess the performance of waist-to-height ratio (WHtR) in the prediction of metabolic syndrome and to determine the appropriate cutoff value in Thai adolescents. Demographic data, blood pressure, fasting blood glucose, and lipid profile were obtained from the Thai National Health Examination Survey V database. The performances of WHtR, waist circumference, body mass index (BMI), and BMI z-score were analyzed by the receiver operating characteristics. Among 2644 adolescents, metabolic syndrome was identified in 4.27%. The areas under the receiver operating characteristic curves of WHtR, waist circumference, BMI, and BMI z-score were comparable (0.924-0.960). Performance of WHtR was more constant across age groups compared with other parameters. Using the cutoff value of WHtR at 0.5 resulted in the sensitivity and specificity of 98.5%/83.4% and 88.9%/86.0% in males and females, respectively. In conclusion, the cutoff value of WHtR at 0.5 provided good sensitivity and specificity for identifying metabolic syndrome in both genders. However, the other clinical risk factors or more definite scores should be considered when further assessment.

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