Cut-off Values Of Waist Circumference Research Articles

Correlation Between Intrinsic Capacity and Muscle Strength and Quality in Older Patients with Cardiovascular Disease: A Cross-Sectional Study.

Cardiovascular disease (CVD) has become the leading cause of death worldwide. High muscle mass can reduce the incidence and mortality of CVD. In recent years, increasing attention has been given to the relationship between intrinsic capacity (IC) and CVD. This study aims to explore the relationship between the decline of IC, muscle strength, and muscle quality in older patients with CVD, providing a new method and basis for early recognition of IC decline in the older adults. This cross-sectional study included 475 older individuals from communities in Zhejiang. General data were collected, and a comprehensive geriatric assessment (CGA) was conducted. Participants with CVD were divided into three groups: IC retention, IC impairment, and IC significantly impaired. Bioelectrical impedance analysis (BIA) measurements were completed. Student's t-test or non-parametric tests (Mann-Whitney) were used to analyze the correlation between IC and muscle-related indicators. The best cutoff values were obtained using ROC curve analysis. Compared to non-CVD patients, CVD patients were older, more educated, and had higher rates of polypharmacy and comorbidity. IC decreased more significantly in CVD patients. Age (P=0.001), Fried (P=0.024), and GDS-5 (P=0.002) increased with the severity of IC decline. ADL (P=0.002), MMSE (P=0.000), MNA-SF (P=0.000), SARC-Calf (P=0.026), waist circumference (P=0.037), and muscle quality (P=0.010) decreased with the decline in IC. When IC decreased, the cutoff values for hand grip strength, waist circumference, and muscle quality were 25.45 kg, 72.55 cm, and 3.05, respectively. When IC decreased significantly, the cutoff values were 17.15 kg, 71.55 cm, and 2.28, respectively. The results of this study showed that in patients with CVD, the hand grip strength and muscle quality of patients with IC injury were lower than those of patients with IC retention.

The prevalence of obesity and relationship between obesity indicators and chronic diseases in Northern Shaanxi, China.

Obesity not only affects human health but also is an important risk factor for a variety of chronic diseases. Therefore, it is particularly important to analyse the epidemic trend of obesity and actively carry out the prevention and control of obesity in the population. A total of 4565 adults were selected by multi-stage stratified random sampling in Shenmu, Shaanxi Province, China. Univariate analysis was used to explore the epidemic characteristics of obesity in this region. Multivariate logistic regression was used to analyse the relationship between obesity and chronic diseases. Finally, the prediction efficiency of different obesity indexes was analysed by drawing receiver operator characteristic curves (ROC). All statistical analysis was completed by SPSS 26.0 software. The prevalence rates of overweight, obesity, and central obesity were 39.9%, 18.2%, and 48.0%, respectively. After adjusting for other confounding factors, multivariate logistic regression analysis showed that overweight and obesity were risk factors for hypertension, dyslipidaemia, and hyperuricaemia. Central obesity is a risk factor for dyslipidaemia and hyperuricaemia. High level of waist-to-height ratio (WHtR) was a risk factor for dyslipidaemia and hyperuricaemia (p < 0.05). Obesity-related indicators: body mass index (BMI), waist circumference (WC), and WHtR, are strongly correlated with the increased risk of chronic diseases in northern Shaanxi, China. The optimal BMI cut-off values for predicting hypertension, dyslipidaemia, and hyperuricaemia were 24.27, 24.04, and 25.54, respectively. The optimal WC cut-off values for predicting dyslipidaemia and hyperuricaemia were 84.5 and 90.5, and WHtR cut-off values were 0.52 and 0.54, respectively. The problem of overweight, obesity, and central obesity in adults is serious in northern Shaanxi, China. Obesity of all types will increase the risk of chronic diseases. Therefore, a variety of preventive and therapeutic measures should be adopted to curb obesity and reduce the incidence of related chronic diseases.

Contribution of body mass index, waist circumference, and 25-OH-D3 on the risk of pre-diabetes mellitus in the Chinese population

This study aimed to investigate the associations between body mass index (BMI), waist circumference (WC), 25-hydroxy-vitamin D3 (25-OH-D3), and the risk of pre-diabetes mellitus (PDM), as well as their predictive values in identifying PDM. A total of 1688 participants were included in this cross-sectional investigation. Spearman’s correlation analysis was used to assess the relationships between candidate indicators and PDM. The impact of indicators on PDM risk was determined by multivariate logistic regression. The receiver operating characteristic (ROC) analysis was performed to evaluate the prognostic value of indicators. Our study indicated a positive correlation between WC, BMI, and 25-OH-D3 and PDM. WC (OR = 1.05, 95% CI = 1.04–1.06, p < 0.001), BMI (OR = 1.11, 95% CI = 1.08–1.15, p < 0.001), and 25-OH-D3 (OR = 1.01, 95% CI = 1.00–1.02, p = 0.037) and an increased risk of PDM. Additionally, the ROC analysis demonstrated that WC (AUC = 0.651, Specificity = 55.00%, Sensitivity = 67.900%) had a higher diagnostic value for predicting PDM compared to the other variables (BMI, 25-OH-D3, TG, TC, LDL-C, HDL-C, and UA). A cut-off value of WC > 80.5 cm predicted PDM with both good sensitivity and specificity. Additionally, the cut-off value of waist circumference (WC) for men with prediabetes was 86.500, while for women with prediabetes, it was 76.500.

Central adiposity as a predictor of mortality in older adults: Identification of cutoffs using generalized additive models.

Obesity is associated with premature mortality in adults; however, this association has been inconsistent in the older adult population. In addition, there is a lack of specific cutoff points for indicators of negative health outcomes in older adults. Methods: This is a prospective study with 796 non-institutionalized older adults. Data on sociodemographic characteristics, lifestyle, food consumption, and nutritional status were obtained at baseline. Generalized additive models were used to identify cutoff points for the waist circumference (WC) and waist-to-height ratio (WHtR) and Cox proportional hazards models to assess the independent association between adiposity and mortality. Over the 9 years of follow-up, 197 deaths (24.7%) occurred, of which 51.8% were men, with a mean age of 76.1 ± 9.0 years. Older adults at higher risk of death had WHtR of <0.52 or ≥0.63 and WC of <83 cm or ≥101 cm. An increased risk of death was observed in older adults with high WC (HR: 2.03 95% CI: 1.20-3.41) and high WHtR (HR: 1.51 95% CI: 1.01-2.26) in the adjusted models, and an increase in WC was a risk factor for higher CVD mortality (HR: 2.09, 95% CI: 1.12-3.88) in the adjusted models. Adiposity was associated with an increased risk of death in older adults. In view of these results and considering the lack of cutoff points for anthropometric indices in Brazilian older adults, further studies are needed to confirm the WC and WHtR cutoff values found in this study.

A Cross Sectional Study on the Correlation between Waist Circumference and Fatty Liver on Ultrasonography among Non-Alcoholic Filipino Adults

Objectives: This study aimed to determine the correlation between waist circumference and fatty liver on ultrasonography among non-alcoholic Filipino adults. This will aid in detecting non-alcoholic fatty liver disease in its early course, hence improving our current therapeutic recommendations in preventing and managing the adverse health outcomes of NAFLD. Methods and Materials: A cross-sectional study with a total of 65 recruited participants. The data collected were age, sex, waist-circumference, co-morbidities with maintenance medications, history of alcohol intake with emphasis on the quantity and duration, and history of drug intake. Waist circumference was measured and recorded. The presence of NAFLD was determined through a review of the ultrasonography results of all subjects. The demographic profile and waist circumference of all subjects were described using descriptive statistics. The chi-square test was utilized to test the independence of the NAFLD and WC in the quartile. Pearson correlation was used to determine the linear relationship between the variables. Pearson correlation coefficient was statistically significant at p 0.05. Results: Among the subjects, 26 (42%) presented with fatty liver based on ultrasonography, 15 (58%) and 11 (42%), males and females, respectively. The mean waist circumference of 97.5 ± 12.43 was significantly related to the fatty liver with a p-value of 0.0001. Waist circumference showed a positive correlation with the frequency of fatty liver on ultrasonography with p-values of 0.000755 (r = 0.590083) and 3.04366E—05 (r = 0.659143523), in males and females, correspondingly. The overall correlation between waist circumference and fatty liver on ultrasonography is statistically significant with a p-value of 4.10503E—08 (r = 0.634737127). Conclusion: One measure used to assess central obesity is waist circumference. In addition, it can also be utilized to assess risk for NAFLD since they are strongly correlated as reported in this study. Waist circumference cut-off values for the Filipinos proposed in this study are the following: >88 cm and >95 cm, in males and females, respectively.

Sex differences in overweight and obesity among Mexican Americans in the National Health and Nutrition Examination Survey: A comparison of measures

The increasing prevalence of overweight and obesity in the United States, and disparities by race, ethnicity, and gender, have caused concern among public health practitioners, health care providers, and others, in part because overweight and obesity may be linked to chronic health problems and weight stigma. Researchers have traditionally relied upon body mass index (BMI) as a measure of overweight and obesity, despite its limitations. In this study we apply an intersectional framework and use data from the 2011–2018 waves of the nationally representative National Health and Nutrition Examination Survey (NHANES) to study sex differences in the risk of overweight and obesity among Mexican Americans, triangulating three measures that proxy for overweight and obesity: BMI, high waist circumference, and high percent body fat. We assess heterogeneity across nativity, education, income by parenthood status, food security, time in the United States (for immigrants), and receipt of SNAP/WIC benefits (for the low-income sample). Results from logistic regression models indicate choice of cutoff values and measure are critical to determining whether sex disparities exist. We find no evidence of disparities in BMI but evidence of greater risk for females using traditional cutoff values for high waist circumference and high percent body fat. Adjusted cutoff values provide differing results. Minimal heterogeneity is seen. Results reinforce the importance of considering sex disparities and emphasize the importance of critically examining measures that proxy for overweight and obesity risk, given the high stakes surrounding weight stigma.

PREVALENCE OF METABOLIC SYNDROME IN PATIENTS WITH TYPE 2 DIABETES MELLITUS IN NORTH EAST INDIA

Aim: Prevalence of metabolic syndrome in patients with type 2 diabetes mellitus in North East India Introduction: Metabolic syndrome is an increasingly prevalent condition which predisposes the individual to diabetes mellitus (DM) and atherosclerotic cardiovascular disease (ASCVD). The diagnosis of metabolic syndrome is made as per the AHA/NHLBI 2005 criteria. As per this criteria, metabolic syndrome can be diagnosed by the presence of any 3 of the ve factors (elevated waist circumference, elevated triglycerides, reduced HDL-C, elevated blood pressure and elevated fasting glucose). This study is being conducted to study the prevalence of metabolic syndrome among patients with type 2 diabetes mellitus. Materials and Methods: In this prospective cross-sectional study, 100 adult patients of type 2 diabetes mellitus were selected. Physical examination was conducted including BMI, waist circumference and blood pressure. Blood samples were collected after 14 hours fasting for estimation of serum fasting glucose, serum HDL-C, serum LDL-C, serum triglyceride (TG) and serum cholesterol. The prevalence of metabolic syndrome among the study subjects was accordingly calculated. Results: Among the participants, 57 % were males and 43 % were females. The median age was 57 years (range from 34-78 years). 67% of patients with type 2 diabetes mellitus in this study had metabolic syndrome while 33% did not have metabolic syndrome. The prevalence of metabolic syndrome among males and females was 61% and 74% respectively. Conclusion: This study showed that the prevalence of metabolic syndrome is quite high among patients with diabetes mellitus. Increased waist circumference was the most common abnormal parameter among others for the diagnosis of metabolic syndrome. Application of lower cut-off values for waist circumference among Asians may help in increasing the diagnostic yield.

Association of waist circumference with haemoglobin A1c and its optimal cutoff for identifying prediabetes and diabetes risk in the Chinese population

Haemoglobin A1c (HbA1c) is a marker of glycaemic control in type 2 diabetes mellitus (T2DM). Increased waist circumference (WC) is known to be associated with T2DM. Therefore, we investigated the relationship of WC with HbA1c and explored its optimal cutoff for identifying prediabetes and diabetes risk. This study included 2339 participants between 18 and 84 years of age [mean (SD) age, 43.5 (11.9) years] with valid data on WC, HbA1c and related variables in the Shenzhen–Hong Kong United Network on Cardiovascular Disease study. Participants on anti-diabetic medications were excluded. Multiple linear regression was used to investigate the relationship between HbA1c and WC. Cutoff values of WC indicating an HbA1c level of 5.7% and 6.5% were also assessed using optimal binning. There was a significant linear relationship between WC and HbA1c in the overall population (B = 0.261, P < 0.001), men (B = 0.206, P < 0.001) and women (B = 0.311, P < 0.001). After adjustment for smoking, alcohol consumption, physical activity, hypertension, hypercholesterolaemia and age, the association remained significant in the overall population (B = 0.201, P < 0.001), men (B = 0.186, P < 0.001) and women (B = 0.182, P < 0.001). The optimal cutoff values of WC indicating an HbA1c level of 5.7% and 6.5% was 83 cm (entropy = 0.943) and 85 cm (entropy = 0.365) in men, and 78 cm (entropy = 0.922) and 86 cm (entropy = 0.256) in women. The linear relationship between WC and HbA1c in this study suggests that addressing central obesity issue is beneficial to people with T2DM or at risk of T2DM. WC cutoff values of 85 cm for men and 86 cm for women are appropriate for recommendation to undergo diabetes screening.

Cutoff Points of Waist Circumference for Predicting Incident Non-Alcoholic Fatty Liver Disease in Middle-Aged and Older Korean Adults.

This study aimed to determine the optimal cutoff value of waist circumference (WC) for predicting incident NAFLD. In this community-based prospective cohort study, we analyzed data from 5400 participants without NAFLD at baseline aged 40–69 years. NAFLD was defined as a NAFLD-liver fat score >−0.640. A Cox proportional hazards regression model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for an association between body composition and NAFLD incidence. The predictive power of each body composition indicator was assessed by Harrell’s concordance index for Cox models. During a mean follow-up period of 12 years, there were 2366 new-onset NAFLD events. Compared with men with WC < 81 cm, the adjusted HR (95% CI) for incident NAFLD in those with WC ≥ 81 cm was 2.44 (2.23–2.67). Compared with women with WC < 78.5 cm, the adjusted HR (95% CI) for incident NAFLD in those with WC ≥ 78.5 cm was 2.54 (2.25–2.87). WC was the most significant risk factor for predicting incident NAFLD among body composition indicators in middle-aged and older Korean adults. The optimal WC cutoff point for predicting incident NALFD was 81 cm in men and 78.5 cm in women, which might assist in the early detection and prevention of NAFLD.

The optimal WC cut-off points for the prediction of subclinical CVD as measured by carotid intima-media thickness among African adults: a cross-sectional study

BackgroundIncreased waist circumference (WC) is one of the cardiovascular disease (CVD) risk factors used to predict cardiovascular events. Waist circumference cut-off values for predicting metabolic syndrome and other cardiovascular risks have been previously studied. Carotid intima-media thickness (CIMT) is one of the cardiovascular risk factor recently described and reported to be suitable as it is a direct measurement of vascular quality. Hence the aim of the present study was to determine the optimal WC cut-off point for the prediction of subclinical CVD.MethodsThe study was a cross-sectional study using quantitative methods, conducted among 1318 adults aged between 40 and 60 years old, residing in a rural Black population in Limpopo province. Carotid Intima-Media Thickness measurements were performed using a LOGIQ ultrasound system (GE Healthcare, CT, USA). Waist Circumference (WC) (cm) was measured to the nearest 0.1 cm. Bivariate correlation, logistic regression and receiver operating characteristic were analysed using the statistical package for social sciences version 26.0 software.ResultsAmong the total population, 69% were women and 31% men with a mean age of 53 ± 7 years. Among women, WC at a cut-off value of 95 cm gave the highest sensitivity of 57%, the specificity of 55% and an area under the curve (AUC) of 0.588. In men, an optimum WC cut-off point of 82 cm yielded the highest sensitivity and specificity at 72% and 70% respectively, with an AUC of 0.767 p < 0.001.ConclusionThe traditional waist circumference cut-off points (94 cm for women and 80 cm for men) that are currently used for the diagnosis of metabolic syndrome might not be suitable in the prediction of an increased CIMT.

Optimal waist circumference cutoff values to predict cardiometabolic alterations in a Venezuela national representative sample. The EVESCAM study

Optimal waist circumference cutoff values to predict cardiometabolic alterations in a Venezuela national representative sample. The EVESCAM study

Optimal waist circumference cut-off points and prediabetic state as predictors of metabolic syndrome prevalence among Saudi adults in Jeddah city

With increasing prevalence of metabolic syndrome and absence of local waist circumference cut-off point, it is important to determine the local cut-off point of waist circumference to predict metabolic syndrome. The aim of this study is to estimate the prevalence of metabolic syndrome among Saudi adults who attend primary health care centers (PHC) in Jeddah city in 2017, and to determine the appropriate waist circumference cut-off value for identifying a person at risk for the metabolic syndrome. A cross-sectional analytic study was conducted. Results shows; mean age of participants was 30.94±9.70 and waist circumference was 96.87±17.40 in males and 86.51±15.30 in females. The prevalence (CI: 95%) of pre-diabetes was 16.3% (12.9%; 20.1%), while the prevalence of metabolic syndrome was {(95% CI = 10.6%) (7.80%; 13.8%)}. Abdominal obesity was the most frequent component of MetS, detected in 60.6%, and followed by high blood pressure in 25.0%. In males, a waist circumference≥93.5 cm is likely to indicate MetS with 100% sensitivity and 47.2% specificity; whereas, in females, optimal waist circumference cut-off was determined as ≥83.5 cm, showing 92.3% sensitivity and 46.4% specificity. In multivariate logistic regression, extended waist circumference was the strongest predictor of MetS {OR (95%CI) =3.75 (1.30; 10.81); p=0.014}, followed by the presence pre-diabetes {OR (95%CI) =2.31 (1.06; 5.04); p=0.035}. Further, high educational level was a significant predictor for MetS {OR (95%CI) = 0.34 (0.12; 0.99); p=0.047}; while age and marital status were not significant predictors.

Optimal waist circumference cutoff values to predict cardiometabolic alterations in a Venezuela national representative sample. The EVESCAM study.

Objective:Waist circumference (WC) value reflects abdominal adiposity, but the amount abdominal fat that is associated to cardiometabolic risk factors varies among ethnicities. Determination of metabolic abnormalities has not undergone a WC adaptation process in Venezuela. The aim of the study was (1) to determine the optimal WC cutoff value associated with ≥2 cardiometabolic alterations and (2) incorporating this new WC cutoff, to determine the prevalence of abdominal obesity and cardiometabolic risk factors related in Venezuela.Methods:The study was national population-based, cross-sectional, and randomized sample, from 2014 to 2017. To assess performance of WC for identifying cardiometabolic alterations, receiver operating characteristics curves, area under the curve (AUC), sensitivity, specificity, and positive likelihood ratios were calculated.Results:Three thousand three hundred eighty-seven adults were evaluated with mean age of 41.2 ± 15.8 years. Using the best tradeoff between sensitivity and specificity, WC cutoffs of 90 cm in men (sensitivity = 72.4% and specificity = 66.1%) and 86 cm in women (sensitivity = 76.2% and specificity = 61.4%) were optimal for aggregation of ≥2 cardiometabolic alterations. AUC was 0.75 in men and 0.73 in women using these new cutoffs. Prevalence of abdominal obesity and metabolic syndrome was 59.6% (95 CI; 57.5-61.7) and 47.6% (95 CI; 45.2-50.0), respectively. Cardiometabolic risk factors were associated with being men, higher age, adiposity, and living in northern or western regions.Conclusion:The optimal WC values associated with cardiometabolic alterations were 90 cm in men and 86 cm in women. More than half of the Venezuelan population had abdominal obesity incorporating this new WC cutoff.

Waist circumference and waist-to-height ratio in 7-year-old children-WHO Childhood Obesity Surveillance Initiative.

Childhood obesity is a serious global health problem. Waist circumference (WC) and waist-to-height ratio (WHtR) reflect body fat distribution in children. The objectives of this study were to assess WC and WHtR in 7-year-old children and to determine body mass index (BMI), WC, and WHtR differences in children from 10 selected countries across Europe (Bulgaria, Czechia, Greece, Ireland, Latvia, Lithuania, North Macedonia, Norway, Spain, and Sweden) participating in the World Health Organization (WHO) Europe Childhood Obesity Surveillance Initiative (COSI). The 50th and 90th percentile of WC (according to COSI and "Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS" (IDEFICS) cutoff values) and WHtR above 0.5 were used as measures of abdominal obesity in a unique sample of 38,975 children aged 7.00-7.99years. Southern European countries, including Greece and Spain, showed significantly higher BMI, WC, and WHtRin both genders (p<0.0001) than Eastern and Northern Europe. The highest values for WC were observed in Greece (60.8±7.36cm boys; 60.3±7.48cm girls), North Macedonia (60.4±7.91cm boys; 59.0±8.01cm girls), and Spain (59.7±6.96cm boys; 58.9±6.77cm girls). WC and WHtRin may add an information about the occurrence of central obesity in children.

Predicational ability of phase angle on protein energy wasting in kidney disease patients with renal replacement therapy: A cross-sectional study.

ObjectiveTo investigate the ability of phase angle (PA) and body composition for predicting protein energy wasting (PEW) in renal replacement therapy (RRT) patients.MethodsRenal replacement therapy (RRT) patients were enrolled in this study. Body composition was measured by direct segmental multi‐frequency biolectrical impedance analysis method (DSM‐BIA); phase angle (PA), fat‐free mass (FFM), fat mass (FM), mid‐arm circumference (MAC), WC (waist circumference), and ECW/TBW (extracellular water/total body water) were obtained. Biochemicals (serum albumin, triglyceride, and cholesterol) were tested. PEW patients were classified according to ISRNM (The International Society of Renal Nutrition and Metabolism) criteria. Cutoff value of PA and related variables was calculated by ROC analysis. The ability of body composition variables as indicators to predict PEW was evaluated.ResultsSixty‐four patients were enrolled in this study. Thirty‐three patients (52.6%) were males, and forty (62.5%) patients were diagnosed with PEW. The ROC curve showed that the optimal cutoff values of PA, FFMI (fat‐free mass index), MAC, WC, and BMI for PEW risk were 4.45°, 16.71, 29.7 cm, 86.4 cm, and 21.1 kg/m2, respectively. These indicators showed significant association with PEW; meanwhile, the PA and MAC can be used as the predictors for PEW with OR 6.333 (95% CI, 1.956–20.505) and 3.267 (95% CI, 1.136–9.394), respectively. Both groups have a lower BUN/Cr ratio (<20).ConclusionIn the RRT patients, over than 60% patients were diagnosed with PEW. PA, MAC, and other body composition can be used as the independent indicators for predicting PEW in renal replacement therapy kidney disease patients.

Determination of optimal cut-off values for waist circumferences used for the diagnosis of the metabolic syndrome among Batswana adults (ELS 32).

To date, no definitive waist circumference (WC) cut-off values for abdominal obesity (AO) have been established for sub-Saharan Africa, including Botswana. Therefore, the classification of AO among these populations is based on European values. For accurate diagnosis of the metabolic syndrome (MetS), cut-off values reflective of the population investigated must be used. The study was an attempt to determine optimal cut-off values for AO among Batswana adults. The receiver operating characteristic curve was used to determine the optimal cut-off values for predicting at least two other risk factors of the MetS. Data were used from a descriptive cross-sectional study employing a complex multi-stage cluster sampling. Demographic and anthropometric measurements (weight and height, waist and hip circumferences), blood pressure, and blood glucose, triglycerides, high-density lipoprotein cholesterol and total cholesterol levels were collected from 384 men and 416 women in Gaborone and the surrounding villages. The ability of waist circumference to predict at least two other risk factors of the MetS gave cut-off values of ≥ 91.0 cm (sensitivity 69.1% and specificity of 90.8%, area under the curve 0.85) for men and ≥ 82.3 cm (sensitivity of 88.6% and specificity of 58.9%, area under the curve of 0.76) for women. There is a difference between the cut-off values for Europeans with those determined for Batswana adults. Inconsistencies in cut-off values used have the potential for undesirable consequences for cardiovascular risk stratification and prioritisation of preventative strategies for AO and the MetS. The need to determine population-, ethnic- and gender-based cut-off values for AO for Batswana adults has never been more paramount.

Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China

BackgroundMetabolic syndrome (MetS), a condition of metabolic disorders, is now causing large disease burden around the world. This study aimed to update the prevalence of MetS in Jiangsu Province of China and evaluate the predicting value of five anthropometric measures including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), a body shape index (ABSI) and body roundness index (BRI) in MetS.Methods8040 participants from 12 survey sites were enrolled into this cross-sectional study by multi-stage stratified cluster random sampling method from 2014 nutrition and diet investigation project in Jiangsu Province. The transformation of sex-specific z-score made the comparison meaningful when conducting the logistic analysis between anthropometric indices and MetS. The abilities of anthropometric indices to predict MetS were evaluated by the receiver operating characteristic curve (ROC). Delong test was applied to compare area under different ROC curves.ResultsThe prevalence of MetS in Jiangsu Province was 35.2% and the standardized prevalence was 34.8%. WC, BMI, WHtR, ABSI and BRI z-scores were positively related to MetS and its components. WC, WHtR and BRI z-score had stronger associations with MetS than BMI and ABSI in both male and female population. WC, WHtR and BRI had larger area under ROC curve than BMI and ABSI in male and female. WC in men had the largest area under the ROC curve, significantly higher than the other four measures of BMI, WHtR, ABSI and BRI (Z value = 9.08, 2.88, 16.73, 2.75 respectively). Among women, WC, WHtR and BRI had larger area under the ROC curve than BMI and ABSI, but the area under the WC, WHtR and BRI curve were not significantly different after the pairwise comparison by the Delong test. The optimal cut-off values of WC, WHtR and BRI for predicting MetS was 85.25 cm, 0.52 and 3.61 in male, 80.05 cm, 0.51 and 3.83 in female.ConclusionMetS has become one of the major chronic diseases in Jiangsu Province. WC was better than other four indices in predicting MetS among male population in Jiangsu. WC, WHtR and BRI had superior abilities than BMI/ABSI in predicting MetS among female population.

Optimal Cutoff Values for Anthropometric Adiposity Measures of Sri Lankan Adult Women

Anthropometric adiposity measures (AAMs) such as body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) are used to evaluate obesity status. Country-specific cutoff values of AAMs would provide more accurate estimation of obesity prevalence. This cross-sectional study was designed to determine the optimal cutoff values for AAMs, BMI, WC, hip circumference (HC), and WHR, of Sri Lankan adult women. The study was conducted in Galle, Sri Lanka, with 350 healthy community-dwelling middle-aged women aged 30–60 years, divided into two groups (Group A, n = 175 and Group B, n = 175). Total body fat percentage (TBFP) (kg) was measured with DXA. Body weight (kg), height (m), and WC and HC (cm) were measured. BMI (kg/m2) and WHR were calculated. Optimal cutoff values were determined by area under curve (AUC) in Receiver-Operating Characteristic (ROC) curve analysis using TBFP as the criterion at the TBFP level of 33% and 35% using the women in Group A. Then, the prevalence of obesity was determined in Group B while comparing the prevalence based on the cutoff values recommended by the World Health Organization (WHO) for Asians and the newly developed cutoff values for Sri Lankan women. Optimal cutoff values of AAMs which correspond to TBFP 33% are BMI, 24.5 kg/m2; WC, 80 cm; HC, 95 cm; and WHR, 0.83. TBFP 35% corresponds to the optimal cutoff values of BMI, 25.0 kg/m2; WC, 85 cm; HC, 100 cm; and WHR, 0.83. Prevalence of obesity (number, %) according to the WHO and newly defined cutoff values that correspond to TBFP 33% and 35% were as follows: BMI = 83 (47.4%), 98 (56.0%), 83 (47.4%); WC = 106 (60.6%), 106 (60.6%), 72 (41.1%); and WHR = 140 (80.0%), 106 (60.6%), 106 (60.6%). The observed cutoff values of BMI and WC in this study were within the ranges of those described by the WHO for Asian populations which correspond to the 33% and 35% TBFP levels, respectively. However, the WHR cutoff value of WHO (Asians) is lower when compared to the newly determined value for Sri Lankan females while overestimating the prevalence. More studies are needed to confirm these values before clinical use.

Neck circumference and waist circumference as a tool for evaluating obesity

Background: Obesity has acquired an epidemic proportion, leading to increased morbidity and mortality. Early identification and timely intervention in children are the need of the hour. Objective: The objective of the study was to measure and compare the neck circumference (NC) and waist circumference (WC) in normal, overweight, and obese children followed by their correlation with body mass index (BMI). Materials and Methods: This cross-sectional study was conducted in 1000 school-going children of 6–14 years age group. Their BMI, NC, and WC were measured, compared, and correlated by appropriate statistical analysis. Results: The difference between NC and WC of overweight and obese children and that of normal children was statistically significant and the measurements correlated with the BMI. The age-wise cutoff values of NC and WC in male and female children were calculated along with their sensitivity and specificity for detecting obesity. Conclusion: NC and WC are practical, efficient, and cost-effective tools to identify obesity amongst school-going children.

Optimal maternal neck and waist circumference cutoff values for prediction of gestational diabetes mellitus at the first trimester in Turkish population; a prospective cohort study

Aims: To investigate if the maternal neck (NC) and waist (WC) circumferences measured in the first trimester of pregnancy have a predictive value in diagnosing gestational diabetes mellitus (GDM).Materials and methods: In this prospective study NC and WC of pregnant women were measured at 11–14th weeks. GDM was evaluated with a two-step oral glucose tolerance test at 24–28th weeks.Result: A total of 525 women were recruited; 49(9%) developed GDM. NC was positively correlated with WC (r: 0.583, p < .001), BMI (r: 0.533, p < .001), age (r: 0.123, p = .002), parity (r: 0.170, p < .001), and 50 g OGTT levels (r: 0.206, p < .001). Regarding the area under receiver operating characteristic (ROC) curve (AUC) analysis of NC and WC for predicting GDM were 0.585 (95% confidence interval (CI): 0.50–0.66, p = .043), and 0.693 (95%CI: 0.61–0.76, p < .001). The optimal cut off level of maternal NC was >38.5 cm, with 69% sensitivity and 45% specificity, and WC was >84.50 cm with a sensitivity of 78% and a specificity of 54%. Increased WC >84.50 cm (OR: 3.58, 95% CI:1.77–7.27; p < .001) and age >25 (OR: 3.05, 95% CI:1.38–6.72; p = .006) were independent predictors for the development of GDM adjusted for age, gravidity, parity, BMI, and NC.Conclusion: Maternal NC and WC were significantly higher in women with GDM; however, only maternal WC was a significant predictive marker for GDM in low-risk pregnant women.