scholarly journals Comparison of anthropometric indices for predicting the risk of metabolic syndrome in older adults

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Sara Khosravian ◽  
Mohammad Ali Bayani ◽  
Seyed Reza Hosseini ◽  
Ali Bijani ◽  
Simin Mouodi ◽  
...  
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Neck Circumference ◽  
Volume Index ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Significant Difference ◽  
Waist To Height Ratio

AbstractBackground: The prevalence of obesity and metabolic syndrome (MetS) are increasing, worldwide. Using a simple, efficient and reliable tool for predicting MetS is an essential approach in preventive health programs. The aim of this study was to compare the different anthropometric indices in predicting metabolic syndrome in older adults.Methods: This cross-sectional study is a part of the Amirkola Health and Ageing cohort Project (2011-2016). Of total, 1488 older people aged 60-92 years were entered to the study. Medical and personal information of participants were collected by a questionnaire. After measuring the height, weight, waist circumference, hip circumference and neck circumference, body mass index, waist to hip ratio, waist to height ratio, abdominal volume index and conicity index were calculated. Independent t-test, chi-square and ROC curve were used to analyze the data.Results: Based on ATPIII-2005 diagnostic criteria, the prevalence of metabolic syndrome was 71.57%.The prevalence in female was higher than male. All of examined anthropometric indices, except neck circumference (p=0.10), showed a significant difference in people with MetS compared to the individuals without metabolic syndrome (p<0.001). Waist to height ratio showed the largest area under the curve for predicting MetS (0.786; 95% CI: 0.76-0.81) followed by BMI (0.746; 95% CI: 0.71-0.77), AVI (0.745; 95% CI: 0.71-0.77), and waist circumference (0.743; 95% CI: 0.71-0.77).Conclusion: Waist to height ratio was the best predictor of MetS in older adults.

scholarly journals Waist-to-Height Ratio Is a Better Anthropometric Index than Waist Circumference and BMI in Predicting Metabolic Syndrome among Obese Mexican Adolescents

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Edel Rafael Rodea-Montero ◽  
María Lola Evia-Viscarra ◽  
Evelia Apolinar-Jiménez
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Waist To Height Ratio ◽  
Mexican Adolescents

Objective. To identify the degree of association between anthropometric indices and components of metabolic syndrome (MS) and to determine optimal cut-off points of these indices for predicting MS in obese adolescents.Methods. A cross-sectional study with a sample of (n=110) Mexican obese adolescents grouped by sex and the presence/absence of MS. BMI percentile, waist circumference (WC), and waist-to-height ratio (WHtR) were tested. ROC curves of the anthropometric indices were created to identify whether an index was a significant predictor of MS.Results. BMI percentile, WC, and WHtR were significantly correlated with systolic and diastolic blood pressure. As predictors of MS overall patients, the BMI percentile generated an area under curve (AUC) of 0.651 (P=0.008), cut-off point above the 99th percentile. WC generated an AUC of 0.704 (P<0.001), cut-off point of ≥90 cm. WHtR demonstrated an AUC of 0.652 (P=0.008), cut-off point of 0.60. WHtR ≥0.62 and WHtR ≥0.61 generate AUC of 0.737 (P=0.006) and AUC of 0.717 (P=0.014) for predicting hypertension and insulin resistance, respectively, in females.Conclusion. WHtR is a better tool than WC and BMI for identifying cardiometabolic risk. The overall criterion (WHtR ≥ 0.6) could be appropriate for predicting MS in obese Mexican adolescents.

scholarly journals Malnutrition associated with inflammation in the chronic renal patient on hemodialysis

2018 ◽  
Vol 64 (9) ◽  
pp. 837-844 ◽  
Author(s):  
Hákylla Rayanne Mota de Almeida ◽  
Eduila Maria Couto Santos ◽  
Keila Dourado ◽  
Cláudia Mota ◽  
Rafaella Peixoto
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Nutritional Status ◽  
Body Mass ◽  
Neck Circumference ◽  
Height Ratio ◽  
Cross Sectional ◽  
Low Frequencies ◽  
Waist To Height Ratio ◽  
Inflammation Score

SUMMARY INTRODUCTION Malnutrition-Inflammation-Atherosclerosis Syndrome is very frequent in patients with chronic kidney disease on haemodialysis. In these patients, the inflammation associated with malnutrition is observed by the Malnutrition-Inflammation Score. OBJECTIVE To analyse the relationship between malnutrition-inflammation-atherosclerosis syndrome and anthropometric and biochemical parameters of patients on haemodialysis. METHODS A cross - sectional study was performed at the Haemodialysis Clinic of the Barão de Lucena Hospital, Recife, Brazil, between July and August 2016, with patients cared at the clinic for at least six months. Patients with amputees, hospitalized, visually impaired, HIV positive, with catheters in the neck, ascites and/or oedema, and those who were unable to provide information at the time of the interview were excluded. The patients were submitted to anthropometric evaluation for the classification of the nutritional status by waist circumference, neck circumference, body mass index, waist-to-hip ratio and waist-to-height ratio. Nutritional status related to inflammation was measured by the Malnutrition-Inflammation Score and nutritional status assessment using biochemical indicators that used urea, creatinine and albumin. RESULTS Twenty-seven individuals of both genders, adults and elderly, aged 51.3 ± 13.3 years old participated in the study. The anthropometric evaluation showed that most of the population presented cardiovascular risk. The biochemical evaluation reported low frequencies of malnutrition. Malnutrition-Inflammation-Atherosclerosis syndrome was evidenced in 3.7% of the patients. The Malnutrition-Inflammation Score had a moderate negative correlation with body mass index, waist circumference, neck circumference, waist-to-height ratio and creatinine. CONCLUSION The correlation seen among the parameters suggests that most of the parameters evaluated can be used as an indirect indicator of malnutrition-inflammation-atherosclerosis syndrome.

Waist-to-Height Ratio Is a Better Predictor of Hyperuricemia than Body Mass Index and Waist Circumference in Chinese

2019 ◽  
Vol 75 (3) ◽  
pp. 187-194 ◽  
Author(s):  
Zhi-pei Huang ◽  
Bi-xia Huang ◽  
Hui Zhang ◽  
Ming-fan Zhu ◽  
Hui-lian Zhu
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Linear Trend ◽  
Roc Curves ◽  
Height Ratio ◽  
Cross Sectional ◽  
Predictive Values ◽  
Significant Difference ◽  
Waist To Height Ratio

Objective: Our study aimed to compare the predictive value of waist-to-height ratio (WHtR) for hyperuricemia with body mass index (BMI) and waist circumference (WC). Methods: This is a cross-sectional study of 9,206 South China residents (male/female: 4,433/4,773) aged 18–89 years recruited during years 2009–2010 and 2014–2015. Anthropometric measurements, serum uric acid, blood pressure, and plasma glucose, lipid, lipoprotein, and transferase levels were measured. Receiver operating characteristic (ROC) curve and logistic regression analyses were applied to evaluate the predictive values of anthropometric indices for hyperuricemia. Results: The prevalence of hyperuricemia increased significantly with higher quartiles of WHtR in both genders. The best cutoff points of WHtR to predict hyperuricemia are 0.52 for men and 0.49 for women and differed between different BMI and WC stratums. Although there was no significant difference between the area under the ROC curves, subjects in the top quartile of WHtR were at a highest risk of hyperuricemia (p for linear trend <0.001) and the adjusted ORs of WHtR (2.24–2.77 in men and 2.66–4.95 in women) were higher than those of BMI or WC in the multivariable regression model. Conclusions: WHtR was an independent and better predictor of hyperuricemia compared with BMI and WC.

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 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 Factor ◽  
Waist Circumference ◽  
Low Income ◽  
Cross Sectional Study ◽  
Anthropometric Measurement ◽  
Sectional Study ◽  
Height Ratio ◽  
Cross Sectional ◽  
Obesity And Overweight ◽  
Waist To Height Ratio

Abstract BackgroundObesity has become a global epidemic and an important risk factor for non-communicable diseases. Earlier thought to be a problem of developed world, it has now become a problem of low- and middle-income countries like Nepal. In absence of a routine surveillance or a registry system, the actual burden and trend of obesity in Nepal is unknown. Obesity and overweight are recognized risk factors for hypertension and associated with cardiovascular disease. The aim of the study was to find out burden of obesity, using three commonly employed metrics in hospital outpatient setting of a low-income country as predictors of hypertension, and compare ability of different anthropometric measurements through a non-inferiority study to predict hypertension.MethodsThis cross-sectional study was conducted among 40-69 years outpatients in a tertiary Eye and ENT hospital in a semi-urban area of Nepal among randomly selected 2,256 participants from 6,769 outpatients who were evaluated in Health Promotion and risk factor screening service. We did correlation analysis to determine the relationship between anthropometric measurement and blood pressure. The area under the Receiver Operating characteristic curve of Body Mass Index (BMI), Waist to Height Ratio (WHtR) and Waist Circumference (WC) was calculated and compared. ResultsThe prevalence of obesity and overweight by BMI was 16.09% and 42.20% respectively; by Waist-to-Height-Ratio was 32.76% which is two times higher than obesity measured by BMI. High waist circumference was observed among 66.76% participants. Female participants had greater prevalence of high WC (77.46%) than male (53.73%) (p<0.001). Prevalence of hypertension and pre-hypertension was 40.67% and 36.77% respectively. The areas under the curve were significantly higher than 0.5 for BMI (0.593), WHtR (0.602) and WC (0.610).ConclusionWaist circumference correlated well with obesity and hypertension. It also had higher predicting ability than WHtR and BMI to predict hypertension. Waist circumference thus proved to be non-inferior to two other commonly used metrics. It proved superior in detecting obesity in female. This simple and inexpensive tape measurement may play an important role in future diagnosis of obesity and prediction of HTN in resource constrained settings of developing countries.

scholarly journals KEJADIAN RESISTENSI INSULIN PADA ANAK OBESITAS USIA 9-12 TAHUN DI KOTA SEMARANG

2017 ◽  
Vol 6 (4) ◽  
pp. 391
Author(s):  
Hana Asnelviana ◽  
Muhammad Sulchan ◽  
Binar Panunggal
Keyword(s):  
Insulin Resistance ◽  
Waist Circumference ◽  
Energy Requirement ◽  
The Body ◽  
Model Assessment ◽  
Height Ratio ◽  
Cross Sectional ◽  
Z Scores ◽  
Waist To Height Ratio ◽  
Cross Sectional Design

Introduction: Obesity is caused by imbalance amount of energy intake and energy requirement of the body. Obesity in children has high risk to become obesity in adult and results in degenerative diseases. In obese children have higher of getting insulin  resistance. This study was aimed to determine insulin resistance in obesity children aged 9-12 years in Semarang.Methods: This study used a cross-sectional design with two groups: height below the median-obesity circumference (TBBM-obesity) and height above the median-obesity (TBAM-obesity). Screening was done in 602 children aged 9-12 years in urban and suburban areas of Semarang. Nutritional status was determined with measurements of z-scores of height-for-age (HAZ) and waist circumference. To define insulin resistance were measured using homeostasis model assessment of insulin resistance (HOMA-IR). Data were then analyzed by Mann-Whitney test and Spearman test.Results: There was found 75% subjects with high HOMA-IR value. HOMA-IR value in TBAM-obesity was 42.5% higher than TBBM-obesity was 32.5% (p= 0,088). Waist circumference and Waist to Height Ratio(WHtR) has a correlation on the increased HOMA-IR value (r= 0.662 p=0.000 and  r= 0.333 p=0.036) and height does not has a correlation on the increased HOMA-IR value (r=0.235; p= 0.144). Conclusion: Insulin resistance from all subject were found 75%. Waist circumference and Waist to Height Ratio(WHtR) has a correlation on the increased HOMA-IR value and height does not has a correlation on the increased HOMA-IR value.

scholarly journals The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2598 ◽  
Author(s):  
Edyta Suliga ◽  
Elzbieta Ciesla ◽  
Martyna Głuszek-Osuch ◽  
Tomasz Rogula ◽  
Stanisław Głuszek ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
International Diabetes Federation ◽  
Shape Index ◽  
Polish Population ◽  
Odds Ratios ◽  
Anthropometric Indices ◽  
Body Adiposity ◽  
Waist To Height Ratio ◽  
Definition Of

Despite several papers having been published on the association between adiposity and the risk of metabolic syndrome (MetS), it is still difficult to determine unambiguously which of the indices of nutritional status is the best to identify MetS. The aim of this study was to analyze the ability of six anthropometric indices to identify MetS in the Polish population. The highest odds ratios for the occurrence of MetS, according to International Diabetes Federation (IDF), were noted for the following indices: waist-to-height ratio (WHtR, OR = 24.87) and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE, OR = 17.47) in men and WHtR (OR = 25.61) and body roundness index (BRI, OR = 16.44) in women. The highest odds ratios for the modified definition of MetS (without waist circumference) were found for the following indices: WHtR (OR = 7.32), BRI (OR = 6.57), and CUN-BAE (OR = 6.12) in women and CUN-BAE (OR = 5.83), WHtR (OR = 5.70), and body mass index (BMI, OR = 5.65) in men (p < 0.001 for all). According to the Receiver Operating Characteristic (ROC) analyses conducted for the identification of MetS, defined in accordance with IDF, the largest areas under the curve (AUCs) in men were observed for WHtR and CUN-BAE indices, whereas in women, they were observed for WHtR and BRI. In the analysis carried out for the identification of MetS (according to modified definition, without waist circumference), the AUCs were larger for WHtR and BRI in women, while in men, they were larger for CUN-BAE, BMI, and WHtR. BMI was also characterized by a relatively strong discriminatory power in identifying individuals with MetS. An optimal cut-off point for MetS, in accordance with the conventional definition, for both sexes was the value of BMI = 27.2 kg/m2. The weakest predictor of the syndrome was the ABSI (a body shape index) indicator. The most useful anthropometric indicator for the identification of MetS, both in men and in women in the Polish population, was WHtR. The optimal cut-off points for WHtR equaled 0.56 in men and 0.54 in women.

scholarly journals Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study

BMJ Open ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. e016062 ◽  
Author(s):  
Haoyu Wang ◽  
Aihua Liu ◽  
Tong Zhao ◽  
Xun Gong ◽  
Tianxiao Pang ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Roc Curve ◽  
Volume Index ◽  
Anthropometric Parameters ◽  
Anthropometric Indices ◽  
Prospective Longitudinal Study ◽  
Adiposity Index ◽  
Significant Difference ◽  
Prospective Longitudinal

ObjectivesOur study aimed to distinguish the ability of anthropometric indices to assess the risk of metabolic syndrome (MetS).DesignProspective cohort study.SettingShenyang, China.ParticipantsA total of 379 residents aged between 40 and 65 were enrolled. 253 of them were free of MetS and had been followed up for 4.5 years.MethodsAt baseline, all the participants underwent a thorough medical examination. A variety of anthropometric parameters were measured and calculated, including waist circumference (WC), body mass index (BMI), a body shape index (ABSI), abdominal volume index (AVI), body adiposity index, body roundness index, conicity index, waist-to-hip ratio and visceral adiposity index (VAI). After 4.5 year follow-up, we re-examined whether participants were suffering from MetS. A receiver operating characteristic (ROC) curve was applied to examine the potential of the above indices to identify the status and risk of MetS.OutcomesOccurrence of MetS.ResultsAt baseline, 33.2% participants suffered from MetS. All of the anthropometric indices showed clinical significance, and VAI was superior to the other indices as it was found to have the largest area under the ROC curve. After a 4.5 year follow-up, 37.8% of men and 23.9% of women developed MetS. ROC curve analysis suggested that baseline BMI was the strongest predictor of MetS for men (0.77 (0.68–0.85)), and AVI was the strongest for women (0.72 (0.64–0.79)). However, no significant difference was observed between WC and both indices. In contrast, the baseline ABSI did not predict MetS in both genders.ConclusionsThe present study indicated that these different indices derived from anthropometric parameters have different discriminatory abilities for MetS. Although WC did not have the largest area under the ROC curve for diagnosing and predicting MetS, it may remain a better index of MetS status and risk because of its simplicity and wide use.

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.

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