Excellent intra and inter-observer reproducibility of wrist circumference measurements in obese children and adolescents

In a previous study, we found that wrist circumference, in particular its bone component,was associated with insulin resistance in a population of overweight/obese children. Theaim of the present study was to evaluate the intra- and inter-operator variability in wrist cir-cumference measurement in a population of obese children and adolescents. One hundredand two (54 male and 48 female) obese children and adolescents were consecutivelyenrolled. In all subjects wrist circumferences were measured by two different operators twotimes to assess intra- and inter-operator variability. Statistical analysis was performed usingSAS v.9.4 and JMP v.12. Measurements of wrist circumference showed excellent inter-operator reliability with Intra class Correlation Coefficients (ICC) of 0.96 and ICC of 0.97 forthe first and the second measurement, respectively. The intra-operator reliability was, also,very strong with a Concordance Correlation Coefficient (CCC) of 0.98 for both operators.The high reproducibility demonstrated in our results suggests that wrist circumference mea-surement, being safe, non-invasive and repeatable can be easily used in out-patient set-tings to identify youths with increased risk of insulin-resistance. This can avoid testing theentire population of overweight/obese children for insulin resistance parameter

Abdominal obesity and the prevalence of diabetes and intermediate hyperglycaemia in Chinese adults

Objective: To assess the association of indicators of general and abdominal obesity with the prevalence of type 2 diabetes (T2DM) and intermediate hyperglycaemia (IHG) in the Chinese population. Methods: We used data of 50 905 adults aged 18¿79 years in the 2002 China National Nutrition and Health Survey. Recommended Chinese cut-off values were used for BMI (24 kg/m2) and waist circumference (WC; 85 cm in men, 80 cm in women). Optimal cut-offs for waist:height ratio (WHtR) were determined from analyses of receiver-operating characteristic (ROC) curves. Results: The prevalence of T2DM and IHG was 2?6% and 1?9% respectively. ROC curve analyses indicated 0?5 as the optimal cut-off value for WHtR in both sexes. High BMI, WC and WHtR were all associated with the prevalence of glucose tolerance abnormalities, with the highest prevalence ratio (PR) for high WHtR (men: PR52?85, 95% CI 2?54, 3?21; women: PR53?10, 95% CI 2?74, 3?51). When combining BMI and WHtR, in men either a high BMI or a high WHtR alone was associated with increased risk. Among women, a high BMI without a concomitant high WHtR was not associated with increased glucose tolerance abnormalities risk, whereas a high WHtR was associated with risk irrespective of BMI. Conclusions: Among the Chinese adult population measures of central obesity are better predictors of glucose tolerance abnormalities prevalence than BMI. AWHtR cutoff point of 0?5 for both men and women can be considered as optimum for predicting (pre-) diabetes and may be a useful tool for screening and health education

Waist-to-height ratio as index of cardiometabolic risk among the doctors

The aim of this study was to see the cardiometabolic risk among doctors using waist-to-height ratio index as tool. Cardiometabolic risk is an umbrella term that includes all the risk factors of diabetes and cardiovascular disease. The study was conducted among 195 doctors. According to waist-to-height ratio index 167 (85.6%) doctors had cardiometabolic risk. Waist-to-height ratio index was found good (area under the curve >0.5, sensitivity 88.1%, specificity 23.2%, positive predictive value 53.9%, and negative predictive value 66.7%) for their predictive value of cardiometabolic risk. Age grouping was done and found that no age group was free from cardiometabolic risk

Waist-to-height ratio is independently associated with chronic kidney disease in overweight type 2 diabetic patients

OBJECTIVE: Chronic kidney disease (CKD) is one of the most serious complications in obesity-induced type 2 diabetes mellitus (T2DM). Body mass index (BMI), waist-to-hip ratio (WHR), waist circumference (WC) and waist-to-height ratio (WHtR) are recognised as sensitive obesity measures. We aimed to investigate the association of BMI, WC, WHR and WHtR with CKD prevalence in overweight T2DM patients. ----- DESIGN, SUBJECTS AND METHODS: We obtained 125 overweight T2DM patients coming for their in-patient annual visit. Metabolic profiles and anthropometric indices were measured and calculated. Urine albumin excretion (UAE) was determined as the mean of 24-h urine from two consecutive days. Serum creatinine was measured from fasting blood sample in order to calculate the estimated glomerular filtration rate (eGFR) using the Chronic Kidney Disease Epidemiology Collaboration formula. Patients were divided into two groups according to CKD prevalence. ----- RESULTS: Thirty-six (28.8%) patients met diagnostic criteria for CKD. The WHtR and WC were higher in the group with CKD. WHtR correlated positively with UAE (r = 0.828, p < 0.001) and negatively with eGFR (r = -0.262, p = 0.015). No significant correlation was observed with WC in relation to UAE (p = 0.335) nor eGFR (p = 0.121). WHtR yielded the significant and great OR in association with nephropathy after adjustment for all confounding risk factors. ----- CONCLUSION: WHtR might be of a greater importance in association to CKD compared to other anthropometric parameters that indicate central obesity. Whether it is a best measure of central obesity and its exact role in CKD pathology is yet to be investigated

Upotreba antropometrijskih obilježja debljine u procjeni mikrovaskularnih komplikacija u pretilih bolesnika s tipom 2 šećerne bolesti

Waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) are superior to body mass index (BMI) in predicting type 2 diabetes mellitus (T2DM) development. The aim of this study was to investigate the predictive power of BMI, WC, WHR and WHtR for microvascular (chronic kidney disease (CKD), retinopathy and peripheral neuropathy) prevalence in obese (BMI ≥35 kg/m2) T2DM patients. This cross-sectional study included 125 T2DM patients of both genders. The validity of each test was assessed by Receiver Operating Characteristic (ROC) curves; the area under the curve (AUC) was calculated for each anthropometric parameter and microvascular complication. AUCs for WHtR were significantly higher than AUCs for WC with respect to CKD. Optimal cut-off for WHtR was >0.593 and WC >112 cm regarding CKD. The AUC for peripheral neuropathy was significant only for WHR and optimal cut-off for WHR was >1.409 with low sensitivity and high specificity. Our study demonstrated that WHtR, WC and WHR might be used as simple and noninvasive methods for detection of CKD and peripheral neuropathy in obese T2DM population.Opseg struka (OS), omjer opsega struka i bokova (OSB) i omjer opsega struka i visine (OSV) su bolji predskazatelji razvoja šećerne bolesti tipa 2 (ŠB2) nego široko upotrebljavani indeks tjelesne mase (ITM). Svrha ovoga istraživanja je bila istražiti učinkovitost ITM, OS, OSB i OSV u procjeni učestalosti mikrovaskularnih komplikacija (kronična bubrežna bolest (KBB), retinopatija i periferna neuropatija) u pretilih (ITM ≥35 kg/m2) bolesnika sa ŠB2. Ova presječna studija je uključila 125 bolesnika oba spola sa ŠB2. Dijagnostička vrijednost testova je procijenjena krivuljama ROC (engl. Receiver Operator Characteristic); područje ispod krivulje (AUC) je izračunato za svaki antropometrijski parametar i rizični čimbenik (mikrovaskularnu komplikaciju). AUC za OSV je bio značajno viši nego AUC za OS za KBB. Optimalna granična vrijednost za OSV je bila >0,593, a za OS >112 cm za KBB. AUC za perifernu neuropatiju je bio značajan samo za OSB i optimalna granična vrijednost za OSB je bila >1,409, uz nisku osjetljivost i visoku specifičnost. Rezultati našega istraživanja ukazuju na to da OSV, OS i OSB mogu biti jednostavna i neinvazivna metoda procjene učestalosti KBB i periferne neuropatije u pretilih bolesnika sa ŠB2

Body composition and morphological assessment of nutritional status in adults : a review of anthropometric variables

This document is the Accepted Manuscript version of the following article: A. M. Madden, and S. Smith, ‘Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables’, Journal of Human Nutrition and Dietetics, vol. 29 (1): 7-25, February 2016, DOI: https://doi.org/10.1111/jhn.12278 . This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.Evaluation of body composition is an important part of assessing nutritional status and provides prognostically useful data and opportunity to monitor the effects of nutrition-related disease progression and nutritional intervention. The aim of this narrative review is to critically evaluate body composition methodology in adults, focusing on anthropometric variables. The variables considered include height, weight, body mass index and alternative indices, trunk measurements (waist and hip circumferences and sagittal abdominal diameter) and limb measurements (mid-upper arm and calf circumferences) and skinfold thickness. The importance of adhering to a defined measurement protocol, checking measurement error and the need to interpret measurements using appropriate population-specific cut-off values to identify health risks were identified. Selecting the optimum method of assessing body composition using anthropometry depends on the purpose, i.e. evaluating obesity or undernutrition, and requires practitioners to have a good understanding of both practical and theoretical limitations and to wisely interpret the results.Peer reviewe

Anthropometric indices associated with dyslipidemia in obese children and adolescents: a retrospective study in isfahan

<p class="abstract"><strong>&nbsp;&nbsp; </strong><strong>BACKGROUND:</strong> Central obesity is an important risk factor for cardiovascular diseases (CVD). Preventive interventions from childhood are necessary due to the increasing prevalence of childhood obesity. Body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR) and waist to height ratio (WSR) are anthropometric indices for measurement of obesity. This study aimed to assess the association between these anthropometric indices and dyslipidemia in obese children and adolescents.</p> <p class="abstract"><strong>&nbsp;&nbsp; METHODS:</strong><strong> </strong>This retrospective study was done on the records of 2064 obese children and adolescents aged 6-18 years at the obesity clinic, in Isfahan Cardiovascular Research center. Age, gender, weight, height, WC, hip circumference (HC), triglyceride (TG), total cholesterol (TC), LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), Fasting blood sugar (FBS), diastolic blood pressure (DBP) and systolic blood pressure (SBP) were taken from patients&rsquo; record. Receiver operating characteristics (ROC) curve and Pearson correlation were used to analyze the data.</p> <p class="abstract"><strong>&nbsp;&nbsp; RESULTS:</strong> 2064 girls and boys aged 6-18 years were divided into 3 age groups of 6-9.9 years, 10-13.9 years and 14-18 years. Prevalence of high LDL-C, TC, TG, FBS, SBP, DBP and low HDL-C was higher among the boys compared to the girls. There was a significant association between TC, LDL-C, TG and FBS with BMI, WC, WHR and WSR. However, no significant correlation was seen between HDL-C and the four anthropometric indices.<strong>&nbsp;</strong></p> <p class="abstract"><strong>&nbsp;&nbsp; </strong><strong>CONCLUSION:</strong> Our study showed a significant correlation between BMI, WC and WSR with high levels of TC, TG and LDL-C in children and adolescents. Correlation between WHR and dyslipidemia in this study was significant but its predictive value was weaker than other three indices.</p> <p class="abstract">&nbsp;</p><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td width="35" height="12"><br /></td></tr> <tr><td><br /></td> <td>&nbsp;</td></tr></tbody></table> &nbsp; <strong>Keywords:</strong> Body Mass Index, Waist Circumference, Waist to Hip Ratio, Waist to Height Ratio, Dyslipidemia, Children, Adolescents

Which is the Best Anthropometric Technique to Identify Obesity: Body Mass Index, Waist Circumference or Waist-Hip Ratio?

This study was designed to define the most suitable anthropometric technique among body mass index (BMI), waist circumference (WC) and waist-hip ratio (WHR) as indices of obesity in adult people living in Adana, a Southern province of Turkey. A random sample design was used. A total of 900 individuals (men and non-pregnant women aged 25–65 years) were enrolled in the study. Of subjects, 50.9% were females. Anthropometric measurements were performed. Data were analysed using statistical package program. The prevalence of obesity among adults living in Adana was 20.8% 28.4% when defined using BMI, 30.5% by WC and 15.8% 42.0% by WHR. Truncal obesity and gynoid obesity showed similar prevalence with 26.6%, in the same age group. Waist circumference, BMI and WHR identified different proportions of the population, as measured for obesity prevalence. The most common methods for diagnosing overweight and obesity are based on BMI (kg/m2). However, BMI is suboptimal marker for total body fat percentage and even less suitable to assess body fat distribution. WHR is the most useful measure of obesity and the best simple anthropometric index in predicting a wide range of risk factors and related health conditions

Estimating Negative Effect of Abdominal Obesity on Mildly Decreased Kidney Function Using a Novel Index of Body-Fat Distribution

Abdominal obesity is a major risk factor of chronic kidney disease (CKD). Conventional obesity-related indicators, included body mass index (BMI), waist circumference (WC), and conicity index (C-index), have some limitations. We examined the usefulness of trunk/body fat mass ratio (T/Br) to predict negative effect of abnormal fat distribution on excretory kidney function. We analyzed anthropometric, biochemical and densitometric data from a nation-wide, population-based, case-control study (the Korean National Health and Nutrition Examination Survey [KNHANES] IV and V). A total of 11,319 participants were divided into 2 groups according to estimated glomerular filtration rate (eGFR, mL.min(-1).1.73 m(-2)) as follows: Group I (n= 7,980), eGFR &amp;gt;= 90 and &amp;lt;= 120; and group II (n= 3,339), eGFR &amp;gt;= 60 and &amp;lt; 90. Linear regression analysis revealed that T/Br was closely related to eGFR (beta = -0.3173, P &amp;lt; 0.001), and the correlation remained significant after adjustment for age, gender, BMI, WC, C-index, systolic blood pressure (BP), hemoglobin, and smoking amount (beta = -0.0987, P &amp;lt; 0.001). Logistic regression analysis showed that T/Br (odds ratio [OR] = 1.046; 95% confidence interval [CI] = 1.039-1.054) was significantly associated with early decline of kidney function, and adjustment for age, gender, BMI, C-index, systolic BP, hemoglobin, serum glucose level, high-density lipoprotein (HDL)cholesterol, and smoking amount did not reduce the association (OR = 1.020; 95% CI = 1.007-1.033). T/Br is useful in estimating the negative impact of abdominal obesity on the kidney function

Prevalence of Obesity and the Relationship between the Body Mass Index and Body Fat: Cross-Sectional, Population-Based Data

Background: Anthropometric measures such as the body mass index (BMI) and waist circumference are widely used as convenient indices of adiposity, yet there are limitations in their estimates of body fat. We aimed to determine the prevalence of obesity using criteria based on the BMI and waist circumference, and to examine the relationship between the BMI and body fat.Methodology/Principal Findings: This population-based, cross-sectional study was conducted as part of the Geelong Osteoporosis Study. A random sample of 1,467 men and 1,076 women aged 20&ndash;96 years was assessed 2001&ndash;2008. Overweight and obesity were identified according to BMI (overweight 25.0&ndash;29.9 kg/m2; obesity 30.0 kg/m2) and waist circumference (overweight men 94.0–101.9 cm; women 80.0–87.9 cm; obesity men 102.0 cm, women $88.0 cm); body fat mass was assessed using dual energy X-ray absorptiometry; height and weight were measured and lifestyle factors documented by self-report. According to the BMI, 45.1% (95%CI 42.4&ndash;47.9) of men and 30.2% (95%CI 27.4&ndash;33.0) of women were overweight and a further 20.2% (95%CI 18.0&ndash;22.4) of men and 28.6% (95%CI 25.8&ndash;31.3) of women were obese. Using waist circumference, 27.5% (95%CI 25.1&ndash;30.0) of men and 23.3% (95%CI 20.8&ndash;25.9) of women were overweight, and 29.3% (95%CI 26.9&ndash;31.7) of men and 44.1% (95%CI 41.2&ndash;47.1) of women, obese. Both criteria indicate that approximately 60% of the population exceeded recommended thresholds for healthy body habitus. There was no consistent pattern apparent between BMI and energy intake. Compared with women, BMI overestimated adiposity in men, whose excess weight was largely attributable to muscular body builds and greater bone mass. BMI also underestimated adiposity in the elderly. Regression models including gender, age and BMI explained 0.825 of the variance in percent body fat.Conclusions/Significance: As the BMI does not account for differences in body composition, we suggest that gender- and age-specific thresholds should be considered when the BMI is used to indicate adiposity.<br /