Anthropometric indicators as predictor of pre-diabetes in Indian adolescents

Pandey, Umeshwar; Midha, Tanu; Rao, Yashwant Kumar; Katiyar, Praveen; Wal, Pranay; Kaur, Sarjit; Martolia, D S

doi:10.1016/j.ihj.2017.06.006

Cited by 15 publications

(22 citation statements)

References 15 publications

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“…is finding was close to the report from a study done in India, which showed the cut-off point of BMI for predicting prediabetes was 22.8 kg/m 2 in boys and 20.5 kg/m 2 in girls [9]. A study among Japanese showed BMI ≥ 23 is a risk factor for insulin resistance and diabetes [40].…”

Section: Discussionsupporting

confidence: 88%

“…A population-based cohort study showed that BMI was not a significant risk factor for prediabetes [17]. Another study showed that BMI was a good predictor of prediabetes for both sexes [9]. Among Ethiopian, Malaysian, and ai, body fat percent was reported to be under estimated by BMIbased Caucasian predication equation [25].…”

Section: Discussionmentioning

confidence: 99%

“…e distribution of fat in the body is measured by using simple, most practical, at a low cost, and widely used markers of obesity index like anthropometric measurements, such as body mass index (BMI), waist circumference (WC), waistto-hip ratio (WHR), and waist-to-height ratio (WHtR) [7,8]. Different previous studies showed varied prediction abilities of anthropometric measurements to predict prediabetes and diabetes [9][10][11][12][13][14][15][16][17][18][19][20][21]. A study conducted in Ethiopia indicated that WC was a predictor of CVD risk [22].…”

Section: Introductionmentioning

confidence: 99%

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Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study

Woldegebriel

Berhe

Desta

et al. 2020

Journal of Nutrition and Metabolism

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Back ground. Diabetes mellitus is an emerging noncommunicable disease in Ethiopia. Overlooking an appropriate tool for identifying diabetes and prediabetes would have significant impact for future diabetes and prediabetes projections and its management. Therefore, the study aims to examine the effectiveness of anthropometric measurements for identifying prediabetes and diabetes in Mekelle city, Tigray, Northern Ethiopia. Methods. The study involved a cross-sectional survey carried out from October 2015 to February 2016 among 1504 subjects aged from 18 to 75 years of age. Receiver operating characteristic (ROC) was used to select the most effective anthropometric cut-off point among waist circumference, waist-to-hip ratio, waist-to-height ratio, and BMI for identifying prediabetic and diabetes. Statistical significance was declared at p value of ≤0.05. Results. Waist circumference was found better for identifying diabetes (AUC = 0.69) and prediabetes (AUC = 0.63) in women, respectively. Waist-to-hip ratio was better identifying diabetes (AUC = 0.67) while waist circumference-to-height ratio was better identifying prediabetes (AUC = 0.63) in men compared to body mass index. The optimal cut-off point with maximum sensitivity and specificity of waist circumference for identifying diabetes and prediabetes was 83.5 cm and 82.9 cm in women, respectively. The optimal ut-off point with maximum sensitivity and specificity of waist-to-hip ratio for identifying diabetes and prediabetes was 0.97 and 0.82 in men, respectively. Conclusion. Waist circumference and waist-to-hip ratio exhibited better discriminate performance than BMI for identifying prediabetes and diabetes in women and men, respectively.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study

Woldegebriel

Berhe

Desta

et al. 2020

Journal of Nutrition and Metabolism

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“…12 In a study carried out by Pandey et al, on paramedic students of Kanpur region, both boys and girls, aged between 17 and 19 years the prevalence of prediabetes was reported to be 32.1%. 13 Anjana et al, in the phase III of Indian Council of Medical Research-India Diabetes study in the North Eastern states of India from 2012 to 2015 found the incidence of prediabetes from 6% in Mizoram to 14.7% in Tripura. 14 Two large-scale national surveys conducted in China in the year 2007 and 2010 revealed that the prevalence of prediabetes increased from 16.0% to 50.9% in rural areas.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of prediabetes in apparently healthy population of Tehsil Kangra and adjoining areas

Bisht

Dhanda

Chauhan

et al. 2018

Int J Community Med Public Health

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Background: More than 50% of the diabetes mellitus (DM) subjects in India remain unaware of their diabetic status. The aim of the study was to screen and identify apparently healthy individuals for impaired glucose tolerance in Tehsil Kangra and adjoining areas of Himachal Pradesh, India.Methods: Cross sectional study with 80 apparently healthy subjects in the age group of 30 to 70 years were taken. Anthropometric parameters viz. weight, height and waist circumference of subjects were measured. Whole blood sample was used for estimation of glycosylated hemoglobin (HbA1c) and serum sample for fasting blood sugar (FBS) and some lipid parameters.Results: The prevalence of prediabetes in apparently healthy population was found to be 25%. Additionally, a significant increase was observed in the FBS levels in prediabetics as compared to healthy subjects. However, no significant change was observed in the mean body mass index (BMI), mean body surface area (BSA), waist to height ratio (WHtR) and lipid parameters between prediabetics and healthy subjects.Conclusions: The burden of prediabetes in apparently healthy subjects of Tehsil Kangra and adjoining areas was found to be 25% and this urgently calls for mass awareness and screening programmes to identify and overcome DM.

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“…18 Yet, a longitudinal study from an ethnically diverse population of US adolescents indicated that although BMIchange was associated with most of the cardiometabolic risk factors, only WC could predict changes in FPG. 45 Cross-sectional studies from different populations have also indicated inconsistent results regarding the preferable adiposity indices which are associated with insulin resistance or prediabetes, some showing stronger associations with BMI, 46,47 and others highlighting WC as a better predictor. 48,49 Our findings indicate that central adiposity does not have any association with IFG, independent of general adiposity.…”

Section: Discussionmentioning

confidence: 99%

Impaired fasting glucose prevalence surge among Iranian adolescents in a decade: The Tehran Lipid and Glucose Study

et al. 2019

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Purpose Impaired fasting glucose (IFG) is associated with incident diabetes, cardiovascular risk, and markers of atherosclerosis in early adulthood. We aimed to explore the 10‐year change in IFG prevalence among adolescent participants of the Tehran Lipid and Glucose Study, a population‐based study from Iran. Methods For our study, we used data on fasting plasma glucose (FPG), anthropometric, and demographic information of 11 to 19‐year‐old adolescents in study periods I (1999‐2005; 1415 boys, 1583 girls) and II (2011‐2014; 477 boys, 469 girls). Sex‐adjusted and sex‐stratified multivariable logistic regression models were used to assess the relationship of the study period (reference: study period I) with IFG. Results The prevalence of IFG, general obesity, and central obesity increased from 7%, 13.3%, and 18.8% in study period I to 16.6%, 24%, and 37.4% in study period II; while a favorable trend was seen for blood pressure, triglycerides, and high‐density lipoprotein cholesterol. In the fully adjusted model, being older (age group 15‐19 vs 11‐14 years) and female sex were associated with lower risk. Being overweight and obese increased the risk by risk ratios (confidence interval) of 1.57 (1.17‐2.11) and 1.63 (1.15‐2.30), respectively. Central adiposity did not remain as an independent risk factor. Nevertheless, study period persisted as a significant factor despite all adjustments [2.20 (1.81‐2.68)]. Results in the sex‐stratified models were generally the same. Conclusion Our results demonstrated that the over 2‐fold rise in IFG prevalence among adolescents was not solely dependent on general and central obesity.

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Anthropometric indicators as predictor of pre-diabetes in Indian adolescents

Cited by 15 publications

References 15 publications

Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study

Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study

Prevalence of prediabetes in apparently healthy population of Tehsil Kangra and adjoining areas

Impaired fasting glucose prevalence surge among Iranian adolescents in a decade: The Tehran Lipid and Glucose Study

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