Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study

Jamar, Giovana; Almeida, Flávio; Gagliardi, Antônio; Sobral, Marianna Ribeiro; Ping, Chao Tsai; Sperandio, Evandro Fornias; Romiti, Marcello; Arantes, Rodolfo Leite; Dourado, Victor Zuniga

doi:10.1590/1516-3180.2016.0358280417

Cited by 19 publications

(17 citation statements)

References 37 publications

(50 reference statements)

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“…This agrees with Miralles et al [8] who analyzed the correlation of WHtR with the other anthropometric variables, and observed a positive significant correlation with BMI, WC, BF%, lipid profile and TG/HDL and significant negative correlation with HDL. Moreover, Jamar et al [35] found that among anthropometric obesity indicators, WHtR was most closely associated with occurrences of IR and predicted the onset of diabetes in obese individuals as compared with other parameters (BMI, WC, WHR, neck circumference, and body shape index).…”

Section: Discussionmentioning

confidence: 99%

Waist-to-height ratio as a clinical predictor for cardiovascular risks and insulin resistance in children and adolescents with exogenous obesity

Soliman

Ahmed

Ibrahim

2021

Egypt Pediatric Association Gaz

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Background Obesity is one of the most challenging clinical syndromes associated with deleterious health problems. Waist-to-height ratio (WHtR), a newer index for abdominal fat assessment, can be a superior tool in the evaluation of cardiometabolic risk. This study aimed to determine the relation between WHtR and lipid cardiovascular risk ratios and insulin resistance (IR) in children and adolescents with exogenous obesity. Results This analytical cross-sectional study included 80 children and adolescents with exogenous obesity, compared to 80 age- and sex-matched healthy non-overweight non-obese controls. Fasting lipid profile (total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL)), fasting insulin, and fasting blood glucose were done and lipoprotein risk ratios were calculated; TC/HDL, LDL/HDL, non-HDL/HDL, and TG/HDL). In addition, homeostatic model assessment for IR (HOMA IR), triglyceride glucose index (TyG), TyG-BMI, and TyG-WC were calculated. The study group included 55 (34.4%) males and 105 (65.6%) females with a mean age of 13.6 ± 2.22 years. Obese group had significantly higher TC, TG, LDL, non-HDL, LDL/HDL, TC/HDL, non-HDL/HDL, and TG/HDL, with significantly lower HDL. In addition, they had significantly higher FBG, HOMA IR, TyG, TyG-BMI, and TyG-WC indices compared to the control group. There were statistically significant correlations between WHtR and lipid profile, lipid risk ratios and indices of IR. WHtR was found to be an independent predictor of IR by linear regression analysis. Conclusion WHtR can be an excellent, easy, and reliable clinical predictor for cardiovascular risk and IR in children and adolescents with exogenous obesity.

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Section: Discussionmentioning

confidence: 99%

Waist-to-height ratio as a clinical predictor for cardiovascular risks and insulin resistance in children and adolescents with exogenous obesity

Soliman

Ahmed

Ibrahim

2021

Egypt Pediatric Association Gaz

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“…[10,11] WHtR is suggested to be a useful screening tool for people with high risk of diabetes [11,22] and insulin resistance with maximum AUC value (0.98) for Homeostatic Model Assessment of Insulin Resistance. [23] In our study, WHtR was significantly higher in females and was positively correlated with RCBG levels in total population [Table 1]. On further analysis by ROC curve [Figure 1], WHtR was found to be a significant classifier for hyperglycemia in both males and females [Table 3].…”

Section: Discussionmentioning

confidence: 58%

Assessment of obesity indices for prediction of hyperglycemia in adult population of Varanasi (Uttar Pradesh), India

Rai

Sharma

Kumari

et al. 2021

IJPP

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Objectives: Obesity is a known risk factor for diabetes mellitus. Multiple obesity indices are available to assess and classify obesity status, including Body Mass Index (BMI), Waist Circumference (WC), and Waist-Height Ratio (WHtR). The present research was conducted to assess these obesity indices for their usefulness in predicting hyperglycemia. Materials and Methods: BMI, WC, WHtR, and Random Capillary Blood Glucose (RCBG) levels were measured in total 188 adult volunteers from Varanasi, Uttar Pradesh, India. Pearson correlation, unpaired Student’s t-test, and Chi-square tests were applied to assess associations and difference of measured parameters among different categories. Receiver operating curve analysis was performed to find best obesity indices to predict hyperglycemia (RCBG ≥140 mg/dl) and to find optimal cut off values for prediction. Results: Age of subjects, WC and WHtR (but not BMI) were found significantly correlated with RCBG levels. WHtR classified highest number of subjects as obese, compared to BMI and WC. WHtR was also found to be the best obesity index to predict hyperglycemia in both male and female subjects. Conclusion: WHtR can be used as cost effective, non-invasive, and convenient obesity index for screening and prediction of hyperglycemia in apparently healthy adult subjects. Thus, identified subjects can further be advised to undergo blood glucose testing for the early detection of diabetes and prediabetes.

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“…In our study, WC and WHR were found to be more strongly correlated with CDH than BMI. Several researchers have found limitations in the use of BMI and identified that WC and WHR were better predictors to show the correlations between obesity and IR than BMI [ 75 , 76 ], which may explain our results.…”

Section: Discussionmentioning

confidence: 74%

Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults

Diao

Yang

et al. 2021

International Journal of Hypertension

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Background. In general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This study aimed to establish a structural equation model for exploring the direct and indirect relationships amongst sociodemographic characteristics, lifestyle, obesity, and CDH amongst Chinese adults. Methods. A cross-sectional study was conducted in a representative sample of 25356 adults between June 1, 2015, and September 30, 2018, in Hubei province, China. Confirmatory factor analysis was initially conducted to test the latent variables. A structural equation model was then performed to analyse the association between latent variables and CDH. Results. The total prevalence of CDH was 2.8%. The model paths indicated that sociodemographic characteristics, lifestyle, and obesity were directly associated with CDH, and the effects were 0.187, 0.739, and 0.353, respectively. Sociodemographic characteristics and lifestyle were also indirectly associated with CDH, and the effects were 0.128 and 0.045, respectively. Lifestyle had the strongest effect on CDH (β = 0.784, P < 0.001 ), followed by obesity (β = 0.353, P < 0.001 ) and sociodemographic characteristics (β = 0.315, P < 0.001 ). All paths of the model were significant ( P < 0.001 ). Conclusion. CDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. Targeting these results might develop lifestyle and weight loss intervention to prevent CDH according to the characteristics of the population.

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Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study

Cited by 19 publications

References 37 publications

Waist-to-height ratio as a clinical predictor for cardiovascular risks and insulin resistance in children and adolescents with exogenous obesity

Waist-to-height ratio as a clinical predictor for cardiovascular risks and insulin resistance in children and adolescents with exogenous obesity

Assessment of obesity indices for prediction of hyperglycemia in adult population of Varanasi (Uttar Pradesh), India

Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults

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