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(1) Background: High blood pressure (HBP) and obesity are significant and growing public health issues worldwide. Our study aimed to evaluate the associations of neck circumference (NC), mid-upper arm circumference (MUAC), and wrist circumference (WrC) with HBP among Lithuanian children and adolescents aged 7-17 years. (2) Methods: In this cross-sectional study, data on BP and anthropometric measurements were analysed in 3688 children and adolescents aged 7-17 years. Multivariate logistic regression analysis was used to estimate the associations between anthropometric indices and HBP. (3) Results: Overall, the prevalence rates of elevated BP and hypertension were 13.7% and 12.9%, respectively. After adjustment for age, BMI, and WC, statistically significant elevated aORs were observed for associations between greater NC, MUAC, WrC, and HBP in boys (aORs: 2.13, 2.46, and 2.48, respectively) and in girls (aORs: 2.01, 2.36, and 2.09, respectively). Moreover, per-unit increase in NC, MUAC, and WrC was also associated with greater odds of HBP in boys (aORs: 1.20, 1.21, and 1.37, respectively) and in girls (aORs: 1.10, 1.10, and 1.21, respectively). The analysed anthropometric indices presented higher area under the curve values for predicting HBP in boys than in girls. (4) Conclusions: This study suggests that higher NC, MUAC, and WrC are associated with increased odds of HBP in Lithuanian children and adolescents.

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OBJECTIVES: To evaluate the strength of association of two measures of BFS: frame-size one (FS1; height ÷ wrist circumference) and frame-size two (FS2; elbow breadth), with body-fat indices, body composition, and hypertension in Indian children and adolescents, and to determine age and sex-specific cutoffs of BFS to predict hypertension. METHODS: This was a cross-sectional, multicenter, school-based study in 9- to 18-y-old healthy children (n = 1423) randomly selected from 3 Indian states. Based on tertiles, FS1 and FS2 were categorized as small, medium, and large. RESULTS: Greater BFS (both FS1 and FS2) was associated with higher body-fat indices, BP (r = -0.424 for FS1 and r = 0.282 for FS2, p < 0.01) and lower muscle mass (MM). A significantly greater percentage of children classified as having large BFS according to FS1 were found to be overweight/obese (46% vs. 25%), hypertensive (34% vs. 17%) than FS2 (p < 0.01). FS1 showed strong to very strong association (Cramer's V 0.15 to > 0.25) with body-fat indices, MM, and BP as opposed to FS2 (For BP X2 = 120.9 for FS1 vs. 9.06 for FS2). FS1 better identified obesity and hypertension, and a value of 10.6 was determined to be the optimum cutoff for predicting hypertension in both genders (sensitivity 71%, specificity 75%, AUC 0.795, and NPV 95%). CONCLUSIONS: Height-to-wrist circumference is a novel, simple, and precise BFS measure for predicting hypertension and muscle mass (9-18 y) and a single cutoff value (< 10.6) may contribute to rapid screening and prompt identification of children at risk of hypertension.

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We evaluated whether wrist circumference (WrC), as a novel anthropometric measure, is associated with incidences of any fractures. The study population included 8288 adults (45.3% men) aged ≥30 years, who were followed for incidences of any fractures from 31 January 1999 to 16 March 2016. We used Cox proportional hazard models adjusted for well-known risk factors to evaluate the association of WrC, both as continuous and categorical variables (bottom tertile as reference), with incidences of any fractures and major osteoporotic fractures (MOF). Over 15 years of follow-ups, 348 fractures occurred (men = 162). For a 1 cm increase in WrC, hazard ratios (HRs) were 1.18 (95% CI: 1.03-1.35) for incident any fractures and 1.22 (1.01-1.49) for incident MOF. In addition to WrC, age, female sex, lower BMI, higher WC, current smoking, and usage of steroidal medications were significantly associated with the incidences of any fractures. Moreover, participants in the middle and top tertiles of WrC had a higher risk of incidence for any fractures [HR = 1.62 (1.19-2.20) and 1.70 (1.14-2.55), respectively, p-value for trend = 0.012]. We presented WrC as a strong and independent risk factor for incidences of any fractures that might be considered in the risk prediction of bone fracture in Iranian adults.

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OBJECTIVE: To describe the utility of wrist circumference in the identification of cardiometabolic risk in overweight and obese children. METHODS: A cross-sectional study was conducted in the obesity clinic of a tertiary care referral hospital over a two year period. All children and adolescents aged 5-17 years with nutritional overweight and obesity were recruited. Data pertaining to chronological age, sex, risk factors and family history were collected. Clinical assessment of anthropometry: Weight, height, body mass index (BMI), Tanner's stage, wrist circumference, blood pressure, waist circumference and triceps skinfold thickness done as per standard criteria. Biochemical assessment of blood glucose, serum insulin, lipid profile, and Homeostatic Model for Insulin Resistance performed after 12 h of fasting. RESULTS: We recruited 118 subjects (mean age 10.9 years, 71.1% males, 87.3% obese and 12.7% overweight); 30 (25.4%) had metabolic syndrome. The mean z scores of wrist circumference of children who presented with and without metabolic syndrome was 2.7 ± 0.8 and 2.1 ± 0.7, respectively (p<0.05). We observed a fair positive correlation between wrist circumference z score and BMI z score, (r=0.5; p<0.05). On receiver operating characteristic curve analysis, 97th percentile of wrist circumference predicted metabolic syndrome among overweight and obese children with a sensitivity of 86.7% and specificity of 37.5% (AUC=0.675). CONCLUSIONS: Wrist circumference with 97th percentile as a cut-off is a useful tool to identify metabolic syndrome amongst overweight and obese children and adolescents.

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BACKGROUND: Individuals with transition from metabolically healthy overweight/obese (MHO) to metabolically unhealthy overweight/obese (MUO) phenotype are significantly predisposed to greater risks of cardiovascular events compared to those with a persistent MHO phenotype. The aim of this study was to evaluate the predictive performance of wrist circumference for this transition in adults over a 15.5-year follow-up. METHODS: We included 309 males and 821 females with the age of ≥18 years old, body mass index ≥25 kg/m2, and metabolically healthy status according to the criteria of the Joint Interim Statement. The incidence of MUO phenotype was evaluated for each gender, across tertiles wrist circumference, using Cox-proportional hazard models. RESULTS: The overall rate of transition from MHO to MUO phenotype was 87.1% in males and 77.5% in females. The hazard ratios (HRs) with 95% CI across second and third tertiles of wrist circumference were 0.89 (0.64-1.24) and 1.31 (0.99-1.73) in men (P for trend =0.027); and 1.34 (1.09-1.66) and 1.61 (1.30-2.00) in women (P for trend <0.001), respectively. After multivariable adjustment, HRs across second and third tertiles of wrist circumference were 0.92 (0.64-1.32) and 1.18 (0.83-1.67) in males (p for trend =0.352), and 1.32 (1.05-1.65) and 1.34 (1.06-1.96) in females (p for trend =0.025), respectively. CONCLUSIONS: Wrist circumference significantly predicts the transition from MHO to MUO phenotype in adults of both genders. However, it is an independent predictor of the transition only in females. Future studies are warranted to clarify the role of wrist circumference mechanisms on metabolic risk deterioration.

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Neck circumference (NC) and wrist circumference (WrC) have been proposed as practical and inexpensive tools with the capacity to indicate metabolic alterations to some extent. Nevertheless, their application in the pediatric population is relatively recent. Thus, the aim of this scoping review was to review and analyze the reported evidence regarding the correlation of NC and WrC with metabolic alterations in the pediatric stage. The literature search was performed in January 2021 in seven indexes and databases. A total of 26 articles published between 2011 and 2020 were included. Most significant results were grouped into three categories: serum lipid profile, glucose homeostasis, and blood pressure. The parameter that showed the most significant results regardless of the anthropometric indicator analyzed for association was blood pressure. In contrast, total cholesterol and LDL-cholesterol showed non-significant associations along with conflicting results. We conclude that the use of NC and WrC, in addition to other well-established indicators, could facilitate the identification of metabolic alterations, specifically in plasma insulin and blood pressure. In fact, further studies are required to address the potential use of NC and WrC as predictors of early metabolic alterations, especially in countries with a fast-growing prevalence in obesity.

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Introduction: In diagnosing carpal tunnel syndrome (CTS) there is no consensus about the upper limit of normal (ULN) of the cross-sectional area (CSA) of the median nerve at the carpal tunnel inlet. A previous study showed wrist circumference is the most important independent predictor for the ULN. In this study we optimised a wrist circumference-dependent ULN equation for optimal diagnostic accuracy and compared it to the generally used fixed ULN of 11 mm2. Methods: CSA and wrist circumference were measured in a prospective cohort of 253 patients (clinically defined CTS) and 96 healthy controls. An equation for the ULN for CSA was developed by means of univariable regression analysis. We calculated z-scores for all patients and healthy controls, and analysed these scores in a ROC curve and a decision plot. Sensitivity and specificity were determined and compared to fixed ULN values. Results: We found augmented diagnostic accuracy of our newly developed equation y = 0.88 * x -4.0, where y = the ULN of the CSA and x = wrist circumference. This equation has a corresponding sensitivity and specificity of 75% compared to a sensitivity of 70% while using a fixed cut-off value of 11 mm2 (p = 0.015). Conclusion: Optimising the regression equation for wrist circumference-dependent ULN cross-sectional area of the median nerve at the wrist inlet might improve diagnostic accuracy of ultrasonography in patients with carpal tunnel syndrome and seems to be more accurate than using fixed cut-off values.

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The aim of this study is to investigate rs1805086 and rs1805065 polymorphisms of MSTN gene of national and amateur Turkish arm wrestlers and people leading a sedentary lifestyle, and the anthropometric properties such as hand, wrist, and forearm circumferences of national and amateur Turkish arm wrestlers are aimed to be explored. In this study, a total of 79 volunteers who were 24 national (7 females, 17 males) Turkish arm wrestlers, 21 amateur (7 females, 14 males) Turkish arm wrestlers and 34 sedentary people (12 females, 22 males) participated. To analyse the data, Statistical Package for the Social Sciences, SPSS 22 (SPSS Inc., Chicago, IL, USA) was used. As a result of the study, when data on rs1805086 and rs1805065 polymorphisms of MSTN gene were examined respectively, it was found out that MSTN 153KK genotype was 100.0% dominant in both national (n=24) and amateur (n=21) arm wrestlers, and it was 94.12 % dominant in sedentary people. KR genotype was observed in 5.88 % of the sedentary people. The data from the other rs1805065 polymorphism of MSTN gene showed that all participants (n = 45, 100.0 %) were carriers of normal homozygous genotype. Furthermore, for both female group and male group, there found to be statistically significant difference in terms of anthropometric properties. It can be concluded that though there was no significant difference between national and amateur Turkish arm wrestlers in terms of their MSTN gene characteristics; in terms of anthropometric properties, significant differences were discovered. It was found out that on these athletes, not MSTN gene polymorphisms but anthropometric properties were effective.

El objetivo de este estudio fue investigar los polimorfismos rs1805086 y rs1805065 del gen MSTN de luchadores de brazos turcos, nacionales y aficionados, y personas que llevan un estilo de vida sedentario, y las propiedades antropométricas además de las circunferencias de manos, muñecas y antebrazos de los luchadores de brazos turcos nacionales y aficionados. En este estudio, participaron un total de 79 voluntarios: 24 luchadores de brazos turcos nacionales (7 mujeres, 17 hombres), 21 luchadores de brazos turcos aficionados (7 mujeres, 14 hombres) y 34 personas sedentarias (12 mujeres, 22 hombres). Para analizar los datos, se utilizó el Paquete Estadístico para las Ciencias Sociales, SPSS 22 (SPSS Inc., Chicago, IL, EE. UU.). Como resultado del estudio, cuando se examinaron los datos sobre los polimorfismos rs1805086 y rs1805065 del gen MSTN respectivamente, se descubrió que el genotipo MSTN 153KK era 100,0 % dominante en luchadores de brazos nacionales (n = 24) y aficionados (n = 21) , y era 94,12 % dominante en personas sedentarias. El genotipo KR se observó en el 5,88 % de las personas sedentarias. Los datos del otro polimorfismo rs1805065 del gen MSTN mostraron que todos los participantes (n = 45; 100,0 %) eran portadores del genotipo homocigoto normal. Además, tanto para el grupo femenino como para el masculino, se encontró una diferencia estadísticamente significativa en términos de propiedades antropométricas. Se puede concluir que, aunque no hubo una diferencia significativa entre los luchadores de brazos turcos nacionales y aficionados en términos de sus características genéticas MSTN; en términos de propiedades antropométricas, se descubrieron diferencias significativas. Se descubrió que, en estos atletas, no fueron los polimorfismos del gen MSTN sino las propiedades antropométricas las efectivas.

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BACKGROUND: Nowadays, obesity and overweight are projected to become main risk factors for coronary artery disease (CAD). We aimed to determine the association of anthropometric measures with presence of significant (sig.) CAD as evaluated by coronary angiography, among an adult Iranian population. METHODS: The present study included 441 patients (men=275) aged > 30 years with suspected CAD, who had undergone coronary angiography between January 2019 and November 2019. All demographic data and patients' medical history as well as clinical examinations were recorded by a trained physician. Coronary angiography was performed using standard techniques to determine the presence of sig. coronary artery lesions. Logistic regression analyses were conducted to assess the odds ratio (OR) of each anthropometric measure for the presence of sig. CAD. RESULTS: The mean age of participants was 51.2±8.7 years and sig. CAD was detected in 185 patients. Univariate analyses showed that body mass index (BMI), waist circumference (WC), and waist to hip ratio (WHR) were significantly associated with increased risk of CAD. On multivariable logistic regression model, BMI and WHR correlated independently with increased risk of CAD; while higher WC and wrist circumference (WrC) could not predict the CAD risk. The corresponding ORs (95% confidence interval) were 1.36 (1.04-1.74), 1.17 (0.95-1.63), 1.29 (1.12-1.41), and 1.24 (0.76-1.92) for BMI, WC, WHR, and WrC, respectively. Considering the receiver operating characteristic analysis, no superiority was observed for each of the measures for discriminating sig. CAD from non-sig. CAD status. CONCLUSION: BMI and WHR are independently associated with the presence of CAD among Iranian population. These results emphasize the value of anthropometric assessment among those with suspected CAD.

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BACKGROUND: Insulin resistance (IR) is the main complication found in 35%-80% of women with polycystic ovary syndrome (PCOS). However, there is no definite consensus regarding which marker to use for its assessment in PCOS women. Research has shown that hyperinsulinemia is correlated with increased bone mass. Given that most women with PCOS are insulin resistant, which is independent from body fat and characterized by hyperinsulinemia, it could be hypothesized that there would be an increased bone mass in the patient as a result. Subsequently, increased bone mass could be measured using the wrist circumference method. AIM: To assess the wrist circumference as an easy-to-detect marker of IR in Congolese women with PCOS. METHODS: Seventy-two Congolese women with PCOS and seventy-one controls from the same ethnic group, were enrolled in the study (mean age 24.33 ± 5.36 years). Fasting biochemical parameters, and the Homeostasis Model Assessment of insulin resistance (HOMA-IR) and body composition were evaluated. The non-dominant wrist circumference was measured manually, as was the waist circumference (WC), hip circumference, height and weight. Calculated measures included evaluation of body mass index (BMI), Waist-to-Height (WHtR) and Waist-to-hip ratio (WHR). In addition, body composition was assessed by Bioelectrical Impedance Analysis using a body fat analyzer. RESULTS: The non-dominant wrist circumference was more closely correlated with HOMA-IR (r = 0.346; P = 0.003) and was the best anthropometrical marker correlated with IR (P = 0.011 ) compared with other anthropometrical markers in women with PCOS: Dominant Wrist Circumference (r = 0.315; P = 0.007), Waist Circumference (WC) (r = 0.259; P = 0.028), BMI (r = 0.285; P = 0.016), WHR (r = 0.216; P = 0,068) and WHtR (r = 0.263; P = 0.027). The diagnostic accuracy of the non-dominant wrist circumference for the presence or absence of IR using Receiver-operating characteristic (ROC) curve analysis showed that the area under the ROC curve was 0.72. A cutoff value for the non-dominant wrist circumference of 16.3 cm was found to be the best predictor of IR in Congolese women with PCOS. CONCLUSION: Non-dominant wrist circumference is, to date, the best anthropometrical marker of IR in Sub-Saharan African women with PCOS. It could be suggested as an easy-to-detect marker for assessing IR.

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PURPOSE: To evaluate the relationship between wrist circumference, markers of adipose dysfunction, and cardiovascular risk in youths with obesity. METHODS: In this cross-sectional study, we measured body mass composition by dual-energy X-ray absorptiometry, wrist circumference, waist-to-height ratio, fasting blood insulin, glucose, lipid profile, adiponectin, and leptin in 280 children with overweight/obesity and without diabetes (age: 7-18 years). Cardiovascular risk was estimated by "metabolic syndrome score" (MetS score). RESULTS: Study participants had median [25th-75th percentile] wrist circumference of 17.5 [16.7-18.5] cm and waist-to-height ratio of 0.62 [0.59-0.67]. Lower adiponectin-leptin ratio was found among subjects in the upper 50th percentiles of wrist circumference [0.17 (0.09-0.36) vs. 0.38 (0.16-0.79); p < 0.001]. Wrist circumference was independently associated with MetS score (r = 0.5 p < 0.001). Among MetS score components, an independent association between wrist circumference HDLc, triglycerides, and systolic blood pressure was found (r = - 0.253 p < 0.001; r =+ 0.204 p < 0.001; r = + 0.403 p = < 0.001, respectively). The coefficient of determination for MetS score was nominally higher when considering wrist circumference as independent variable (Adj-R2 = 0.30) then when considering body mass index SD (Adj-R2 = 0.28), waist-to-height ratio (Adj-R2 = 0.26) or truncal fat percentage (Adj-R2 = 0.01). The addition of wrist circumference in age and gender adjusted models, accounting to any other anthropometric parameters, resulted in a significant improvement of the Adj-R2 (p < 0.001 for all). CONCLUSIONS: Our study shows that wrist circumference independently relates to adiponectin-leptin ratio and to the prediction of cardiovascular risk, suggesting it as an efficient and adjunctive anthropometric marker of cardiometabolic risk in children with obesity.

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BACKGROUND AND AIMS: The association of Wrist Circumference (WrC) with cardio-metabolic risk factors is still contradictory. We aimed to systematically review the association of WrC with cardio-metabolic diseases among the general populations. METHODS: We systematically searched electronic databases such as PubMed/Medline, Web of Sciences, and Scopus without language restriction until March 2017. Observational studies that examined the association of WrC with any cardio-metabolic risk factors were included. Pooled association of WrC with metabolic syndrome (MetS) was estimated using a random-effect model, and heterogeneity among studies was assessed by I2 index and Q test. RESULTS: A total of 14 papers including cohort study (n = 9), cross-sectional study (n = 4), and case-control study (n = 1) met the criteria and included. The eligible papers have been examined the association of WrC with any cardiovascular disorders (n = 8), metabolic syndrome (n = 4), insulin resistance (IR) (n = 5), diabetes mellitus (n = 2), impaired glucose tolerance (n = 1), cardio-metabolic risk factors (n = 2) and obesity/overweight (n = 1). In the whole population (both adults and pediatric population), high WrC increased the risk of MetS by 33% (Pooled OR = 1.33; 95% CI 1.20, 1.48; I2 = 60.2%, p = 0.04), while the pooled OR in adult populations was 1.27 (95% CI 1.15-1.41; I2: 32.8%, p = 0.21). Qualitative synthesis showed that associations of WrC with other cardio-metabolic risk factors are conflicting. CONCLUSION: High WrC increased the risk of MetS and other cardio-metabolic risk factors. However, due to limited studies, particularly in children, results should be declared with great caution. Further cohort studies are needed to clarify whether WrC is a suitable anthropometric index to predict cardio-metabolic disorders in adult and children populations in different societies. LEVEL OF EVIDENCE: Level 1, systematic review and meta-analysis.

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BACKGROUND: Wrist circumference (WrC) is an easily obtained measure in estimating the body frame and regional fat distribution, and has increasingly used as an obesity index. The aim of our study is to estimate the association of WrC with elevated blood pressure (BP) among northeastern Chinese community-dwelling residents, and compare the strength of this association to other anthropometric obesity indices. METHODS: A total of 2,331 adult participants (761 male participants, and 1,570 female participants) were included. WrC and other five generally used obesity indices, including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and neck circumference (NC) were measured. Hypertension was defined as systolic blood pressure (SBP)/diastolic blood pressure (DBP) ≥140/90 mmHg or anti-hypertensive medication use. Multivariable linear and logistic regression models were performed to identify associations of BP and hypertension with per standard deviation (SD) increase of obesity indices. Areas under receiver operative characteristic curves (AUC) were calculated to compare the predicting capacity of WrC and other obesity indices on hypertension. RESULTS: All of the six obesity indices were positively associated with both SBP and DBP after adjustment for age and gender (P-values of associations of SBP with obesity indices were 0.043 for WrC, and <0.001 for other five indices; P-values of associations of DBP with obesity indices were 0.011 for WrC, 0.031 for WHR, and <0.001 for other four indices), while the association between SBP and WrC showed no statistically significant after further adjusted for life-style and metabolic risk factors (P-value was 0.062). The increases of both SBP and DBP per SD increase of BMI were the largest. The positive associations of five obesity indices but WHR with hypertension were observed after adjustment for all risk factors (P-values were 0.024 for WrC, 0.064 for WHR and <0.001 for other four indices). However, the odd ratios (OR) of WrC was the smallest, while BMI was the largest. Consistently, the AUC of BMI was the largest and statistically larger than that observed for WrC (P-value <0.001). CONCLUSIONS: WrC was associated with hypertension among northeastern Chinese populations. However, the association was not stronger than the other generally used indices, particularly BMI.

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INTRODUCTION: No consensus exists about the upper limit of normal (ULN) of the cross-sectional area (CSA) of the median nerve in diagnosing carpal tunnel syndrome (CTS). Previously, we demonstrated a strong positive correlation between wrist circumference and CSA. ULN depending on wrist circumference turned out to have a low sensitivity, which was hypothesized to be caused by an age mismatch. The aim of this study was to re-evaluate the found invariance by augmentation of the healthy control group, adding older subjects, and to determine the diagnostic accuracy of the updated normal values. METHODS: CSA and wrist circumference were measured in an additional 42 healthy controls in the ages of 40-60. Univariable and multivariable linear regression analyses were applied to determine predicting factors for CSA. Diagnostic accuracy was assessed in a prospective cohort of 253 patients. RESULTS: A strong correlation was found between wrist circumference and CSA (r = 0.61). Wrist circumference is the most important independent predictor for ULN (r2 = 0.37). We managed to simplify our newly derived regression equations, which turned out to be unrelated to age. Sensitivity of our new equations is low, but higher than a general fixed cut-off value (53.4% and 47.4%, respectively). DISCUSSION: Wrist circumference is the most important independent predicting factor of CSA. By using our updated equations and taking wrist circumference into account, one can determine a more precise ULN for each individual, which will lead to the improvement of the diagnostic accuracy of ultrasonography (US). Sensitivity for US in diagnosing CTS remains low and it can therefore not replace EDX.

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Background Recent studies have discussed the application of wrist circumference as an easy-to-use predictor of general and abdominal obesity. The aim of the current study is to evaluate the association of wrist circumference with generalized and abdominal obesity and to determine its sex- and age-specific optimal cutoff points in association with generalized and abdominal obesity in a national sample of pediatric population. Methods This nationwide survey was conducted among 14,880 students, aged 6-18 years, selected through a multistage, random cluster sampling method from rural and urban areas of 30 provinces in Iran from 2011 to 2012. Anthropometric indices (weight, height, wrist circumference, waist circumference [WC], hip circumference [HC]) were measured by standard protocols using calibrated instruments. Body mass index (BMI) and waist-to-height ratio (WHtR) were calculated. By considering the area under the curve (AUC) of the receiver operator characteristic (ROC) curves, we evaluated the association of wrist circumference with obesity indices and determined its sex- and age-specific optimal cutoff points in association with obesity. AUC: 0.5, AUC: 0.5-0.65 and AUC: 0.65-1.0 were interpreted as equal to chance, moderately and highly accurate tests, respectively. Results Overall, 13,486 children and adolescents with a mean age of 12.47±3.36 years completed the study (participation rate of 90.6%). In both genders, wrist circumference had a significant correlation with anthropometric measures including weight, height, BMI, WC, HC and WHtR. In all age groups and both genders, wrist circumference performed relatively well in classifying individuals into overweight (AUC: 0.67-0.75, p<0.001), generalized obesity (AUC: 0.81-0.85, p<0.001) and abdominal obesity (AUC: 0.82-0.87, p<0.001). Conclusions Wrist circumference is suggested to be a useful index for assessing excess weight in the pediatric age group. Its easy measurement without the need of calculation ratios might make it as a routine measurement in daily clinical practice and in large epidemiological studies.

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BACKGROUND: This study aimed to assess determinants of anthropometric measures in a nationally representative sample of Iranian children and adolescents. METHODS: This nationwide study was conducted among 13,280 students, aged 6-18 years, who were randomly selected from 30 provinces in Iran. Anthropometric measures were determined by calibrated instruments. Demographic and socio-economic (SES) variables, lifestyle behaviors, family history of chronic disease and prenatal factors were studied, as well. A hierarchical Bayesian tri-variate analysis was used to assess the factors associated with obesity measures of the body mass index (BMI), waist-to-height ratio (WHtR) and wrist circumference (WrC). RESULTS: The results showed that the BMI was associated with SES score, family history of obesity, family history of diabetes mellitus, physical inactivity, screen time, duration of sleep, breakfast consumption, birth weight, breastfeeding, junk food and place of residence (urban-rural). All these factors were also significantly associated with WrC except for consumption of junk food. Many of these factors had a partial but significant relationship with WHtR. CONCLUSIONS: Various factors contribute to obesity. Preventive and educational programs on manageable factors such as increasing physical activity, eating breakfast and limiting TV or screen time could be helpful in controlling obesity in schoolchildren and reducing associated complications.

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BACKGROUND: Childhood obesity and its consequences have reached alarming proportions worldwide and in India. Wrist circumference is emerging as an easily measurable reproducible parameter for screening children at risk of obesity-related morbidities such as hypertension and insulin resistance. The objectives of this study were: (1) to compute age and gender-specific wrist circumference percentiles for 3-18-year-old apparently healthy Indian children and adolescents; (2) to assess the relationship of wrist circumference with measures of obesity and adiposity such as body mass index (BMI), fat percentage and blood pressure (BP) and (3) to suggest age and gender-specific cut-offs for wrist circumference percentile for the risk of hypertension in Indian children and adolescents. METHODS: This was a cross-sectional study on samples of 10,199 3-18-year-old children (5703 boys) from randomly selected schools from five major cities in India. Height, weight, waist and wrist circumference and BP were recorded. Body composition was measured using bioelectrical impedance analysis (BIA). Wrist circumference percentiles were computed using the LMS method. RESULTS: The average wrist circumference of boys and girls was 10.4 cm and 10.0 cm at 3 years and increased to 15.1 cm and 13.9 cm, respectively, at 18 years. Compared to their Caucasian counterparts, Indian children's wrists were smaller. Receiver operating characteristic (ROC) curve analysis derived the 70th percentile of wrist circumference as the cut-off for identifying the risk of hypertension. CONCLUSIONS: Contemporary cross-sectional reference percentile curves for wrist circumference for 3-18-year-old Indian children are presented. The 70th percentile of the current study is proposed as the cut-off to screen children for cardiometabolic risk factors such as hypertension.

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OBJECTIVE: The predictive potentials of neck and wrist circumferences for cardiometabolic risks in children and adolescents remain to be determined. The aim of this study was to evaluate the association of neck and wrist circumferences with some cardiometabolic risk factors in children and adolescents. METHODS: This multicenter study was conducted during the 2014 to 2015 school year with 4200 children and adolescents ages 7 to 18 y. The children were selected by multistage cluster sampling from 30 provinces of Iran. Anthropometric indices (neck, wrist and waist circumference, and body mass index), biochemical and clinical parameters were measured. Metabolic syndrome was defined based on the Adult Treatment Panel III criteria modified for the pediatric age group. High total cholesterol, high low-density lipoprotein cholesterol, and obesity were included as other cardiometabolic risk factors. RESULTS: The participation rate for blood sampling was 91.5% (n = 3843). The mean (standard deviation) age of participants was 12.3 y (3.2 y). In a multivariate model, neck and wrist circumferences had significant association with elevated blood pressure, low high-density lipoprotein cholesterol, increased body mass index (overweight, excess weight, and generalized obesity), abdominal obesity, and metabolic syndrome. Additionally, obesity had the strongest associations with neck (odds ratio, 1.48; 95% confidence interval, 1.45-1.51) and wrist circumference (odds ratio, 2.25; 95% confidence interval, 2.15-2.36). CONCLUSION: Neck and wrist circumferences are associated with some cardiometabolic risk factors. They could be used as alternative clinical tools and easy-to-use indicators of cardiometabolic risk in children and adolescents.

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BACKGROUND AND PURPOSE: The burden of stroke is increasing in low to middle income countries. Identifying risk patterns for ischemic stroke (IS) can help develop individualized preventive measures for at risk populations. METHODS: The study population included 3088 Iranian subjects (1426 men) aged ≥50 years, free of cardiovascular diseases at baseline. The risk factors for ischemic stroke were identified by multivariate Cox analysis. A survival tree model was used to explore interactions between risk factors. RESULTS: During 12years of follow-up, 106 cases of IS occurred. Age (hazard ratio (HR): 1.08), male gender (HR: 1.69), diastolic blood pressure (DBP) (HR: 1.04), fasting plasma glucose (HR: 1.10), waist circumference (WC) (HR: 1.03) and smoking (HR: 1.96), were associated with increased risk and estimated glomerular filtration rate (eGFR) (HR: 0.97) and wrist circumference (HR: 0.68) decreased the risk of IS (all P-values <0.05). The survival tree identified six risk patterns. The highest and lowest risks were related to subjects ≥60.5years with DBP ≥100mmHg and subjects <60.5years with DBP<97mmHg, respectively. In subjects ≥60.5years with DBP <100mmHg, risk of ischemic stroke was determined by WC ≥96.5cm or (eGFR) <60.87ml/min/1.73m2. CONCLUSION: By applying survival tree as a complementary method to the conventional Cox-analysis, for the first time, we identified risk patterns of ischemic stroke and explored the interactions between risk factors of the disease. DBP was the most important predictor of ischemic stroke in middle-aged and old subjects. In elderly subjects with DBP <100mmHg, abdominal obesity was associated with high risk; however, among non-obese subjects, kidney dysfunction increased the risk of ischemic stroke. Wrist circumference was reported as a novel predictor.

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PURPOSE: Wrist circumference is an easy to measure anthropometric index of body frame and bone size. The aim of this study was to examine the association of wrist circumference with incidence of cardiovascular disease (CVD) among adult men. METHODS: For this study 2531 male participants aged ≥30 years, without any history of CVD were selected and followed from 1999 to 2011. Cox proportional hazard models and logistic regression were used to examine the relation of wrist circumference with incident CVD. RESULTS: A total of 339 cases of CVD were reported throughout a median follow-up of 9.4 years. In the multi-variable Cox model, 1 unit increase of wrist circumference was inversely associated with incident CVD with a HR (95 % CI) of 0.84 (0.72-0.98, P value = 0.02). The receiver operating characteristics curve in a logistic regression model for wrist circumference in prediction of CVD showed a cutoff of 17.75 cm, beyond which was associated with a lower risk for CVD. CONCLUSION: In a population with a high prevalence of CVD risk factors, it was shown that a higher wrist circumference was associated with lower risk for incident CVD. Further studies are needed to explore the underlying mechanisms of this inverse relation.

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