Appropriate neck circumference cut-off points for metabolic syndrome in Turkish patients with type 2 diabetes

Anthropometric indexes for predicting high blood pressure in Turkish adults

Purpose

It is controversial which anthropometric indexes are the best in predicting the risk of hypertension and how anthropometric measurements are related to blood pressure (BP). This study aimed to evaluate the relationship between BP and anthropometric indexes and to determine the best predictors for hypertension risk.

Methods

This cross-sectional study was conducted with 415 consecutive participants (161 men, mean age: 33.4 years) aged 18-88 years in Istanbul, Turkey. Weight, height, waist circumference (WC), and neck circumference (NC) and BP were measured by well-trained personnel. Waist-to-height ratio (WHtR) and body mass index (BMI) were calculated. Pearson correlation, linear regression, and multivariate analyses were used to assess the relationship between anthropometric measurements and SBP, DBP, using the Statistical Package for the Social Sciences version 23.0.

Results

The systolic BP (SBP) and diastolic BP (DBP) were related to weight, WC, NC, BMI, and WHtR (P < 0.05). Linear regression analyses showed BMI and WC as independent risk factors for SBP with an increase by 1.11 mmHg in men (P = 0.036) and 1.59 mmHg in women (P = 0.001) in SBP when BMI increased 1 unit, while SBP increases by 0.2 mmHg when WC increases by 1 unit regardless of gender (P = 0.013).

Conclusion

Our results showed that BMI and WC are related to BP and important predictors of hypertension risk. Therefore, the uses of BMI and WC are recommended as screening tools for the prediction of hypertension risk among Turkish adults.

Is Neck Circumference Related to Other Anthropometric Measurements and Biochemical Parameters in Type 2 Diabetes?

Background

Obesity is one of the leading risk factors for developing type 2 diabetes mellitus (T2DM). Body mass index (BMI), waist circumference, and waist/hip ratio are anthropometric measurements used to diagnose obesity. In recent years, neck circumference, one of the anthropometric indicators used in assessing obesity, has come to the fore. This study investigates the relationship between neck circumference and other anthropometric measurements and specific biochemical parameters in T2DM.

Methods

Four hundred sixty-four individuals with type 2 diabetes were included in the study. Subjects’ body weight, height, and other anthropometric measurements like circumferences of the waist, hip, and neck were measured. BMI, waist/hip, and waist/height ratio were calculated. The biochemical tests of the subjects in the previous month from the study were accessed from the hospital information system. The relationship between anthropometric measurements and biochemical parameters with neck circumference was evaluated.

Results

The mean age of the subjects was 54.6±8.51 years. 56.2% were female and 43.8% were male, and the time from T2DM diagnosis was 9.9±7.49 years. Most male subjects were overweight (49.8%), and approximately one-third of the women were first-degree obese (33.0%). Body weight, BMI, waist, hip, and neck circumferences, and waist/hip and waist/height ratios were significantly higher in both male and female subjects in the neck circumference high-risk group than those in the low-risk group (p<0.05). In terms of biochemical parameters, fasting blood glucose and HbA1c values of men with neck circumference at risk were significantly higher than those in the low-risk group. Neck circumference measurements of the participants were positively correlated with body weight (r=0.543; p<0.001), height (r=0.260; p<0.001), waist circumference (r=0.562; p<0.001), hip circumference (r=0.293; p<0.001), BMI (r=0.366; p<0.001), waist/hip ratio (r=0.428, p<0.001), and waist/height ratio (r=0.393, p<0.001). Neck circumference had a low positive correlation with fasting blood glucose (r=0.165; p<0.001), HbA1c (r=0.281; p<0.001), and triglyceride (r=0.231; p<0.001) and a negative relationship with low-density lipoprotein cholesterol (r=-0.118; p=0.001). When the relationship between neck circumference and biochemical parameters was examined, it was seen that this correlation was only in men.

Conclusion

Neck circumference measurement is a simple and reliable method and is not affected by external factors. It correlates with other anthropometric measurements and can be used as a good indicator of the distribution of upper subcutaneous adipose tissue in T2DM. However, more studies with larger samples are needed on this subject.

Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome

Aim

Metabolic syndrome is one of the outcomes of a sedentary lifestyle in the modern world. In this study, we want to introduce the predictors of metabolic syndrome using anthropometric indices and Bio-Electrical Impedance Analysis (BIA) test values.

Method

This cross-sectional study was performed on 2284 employees of Tehran University of Medical Sciences in different job categories. Metabolic syndrome was determined according to IDF criteria. Anthropometric dimensions, para-clinical tests, basic information were collected from the participants. Also, the body analysis of the participants was performed using a BIA method.

Result

The prevalence of metabolic syndrome in this study was 23.2% based on IDF criteria, which was 21% and 26.6% in men and women, respectively. The most important factor among the components of IDF criteria was HDL deficiency. In this study, neck circumference, fat mass, visceral fat, muscle mass percentage and waist to height ratio were observed as predictors of metabolic syndrome.

Conclusion

This study realized that there is association between fat mass, fat-free mass, visceral fat and muscle mass which all are some elements of body composition analysis and metabolic syndrome as a major health issue.

Association between neck circumference and lipid profile: a systematic review and meta-analysis of observational studies

AIMS

Previous studies suggested that neck circumference (NC) as a new, simple, and valuable tool for the measuring obesity. However, the results of studies regarding the relationship between blood lipids and neck circumference were inconsistent. Therefore, we aimed to perform a systematic review and meta-analysis to summarize the association between NC and lipid profiles in adults.

METHODS AND RESULTS

PubMed and Scopus electronic databases were searched until 30 June 2018 to find articles that reported the association between NC and blood lipids. Mean serum lipids and variables contributed to heterogeneity were extracted. Sources of inter-study heterogeneity were determined by subgroup analysis. Of 2490 publications identified, 33 studies were included in the qualitative and quantitative synthesis. We found an inverse correlation between NC and high-density lipoprotein cholesterol [HDL-C; overall Fisher's Z = -0.18; 95% confidence interval (CI): -0.21, -0.15]. Furthermore, we found positive associations between NC and total cholesterol (TC; overall Fisher's Z = 0.11; 95% CI = 0.06, 0.16), low-density lipoprotein cholesterol (LDL-C; overall Fisher's Z = 0.1; 95% CI = -0.04, 0.16), and triglyceride (TG; overall Fisher's Z = 0.21; 95% CI = 0.17, 0.25) in men. Neck circumference was directly correlated to TC (overall Fisher's Z = 0.1; 95% CI = 0.01, 0.19) and LDL-C (overall Fisher's Z = 0.16; 95% CI = 0.12, 0.20) in healthy and unhealthy women, respectively. There was no correlation between NC and serum concentration of TC (overall Fisher's Z = 0.01; 95% CI = -0.02, 0.03) and LDL-C (overall Fisher's Z = 0.09; 95% CI = 0.02, 0.16) in unhealthy and healthy women, respectively.

CONCLUSION

Higher NC in unhealthy men was strongly indirectly associated with HDL-C, and directly related to LDL-C, TG, and TC. In unhealthy women, higher NC was inversely associated with HDL and directly related to LDL-C.

The Association of Metabolic Syndrome Components with Anthropometric Measurements

Aim: This study aims to research the association of metabolic syndrome components with anthropometric measurements like arm circumference, neck circumference, hip circumference, waist-hip ratio, and waist-to-height ratio, which are applied rarely. Methods: This cross-sectional study was conducted with 292 patients in November-December 2019. The arm circumference, neck circumference, waist circumference, hip circumference, waist-hip ratio, waist-to-height ratio, and body mass index measurements of the patients were made. Glucose, high-density lipoprotein, low-density lipoprotein, systolic, and diastolic blood pressure measurements were also recorded. The association between metabolic syndrome components and anthropometric measurements was analyzed. Results: Metabolic syndrome is diagnosed in 32.8% of the participants. According to body mass index, 18.6% of the patients were normal, 34.2% were overweight, and 47.2% were obese. There was a significant difference between the patients with and without metabolic syndrome in terms of laboratory parameters, blood pressure values, and anthropometric measurements. In the diagnosis of metabolic syndrome, optimal cut-off values for arm circumference, neck circumference, hip circumference, waist-hip ratio, and waist-to-height ratio were determined as 31.75 (AUC=0.703), 34.85 (AUC=0.763), 113.75 (AUC=0.757), 0.90 (AUC=0.701), 0.61 (AUC=0.769) for females while they were 35.75 (AUC=0.573), 39.75 (AUC=0.795), 111.5 (AUC=0.607), 0.96 (AUC=0.888), 0.61 (AUC=0.888) for males respectively. Conclusion: A significant correlation was detected between arm circumference, neck circumference, hip circumference, waist-hip ratio, and waist-to-height ratio, and metabolic syndrome components. However, low-density lipoprotein was not correlated with neck circumference and high-density lipoprotein with waist-to-height ratio. Keywords: metabolic syndrome, anthropometric measurement, body mass index, obesity, lipid profile

Neck circumference and waist circumference associated with cardiovascular events in type 2 diabetes (Beijing Community Diabetes Study 23)

Obesity increases the risk of developing cardiovascular disease and other metabolic diseases. We intended to compare three different anthropometric indicators of obesity, in predicting the incidence of cardiovascular events in Chinese type 2 diabetes. Beijing Community Diabetes Study was a prospective multi-center study conducted in Beijing community health centers. Type 2 diabetes patients from fourteen community health centers were enrolled at baseline. The primary endpoint was cardiovascular events. The upper quartile of neck circumference (NC) was set as greater NC. A total of 3299 diabetes patients were enrolled. In which, 941 (28.52%) had cardiovascular disease at baseline. Logistic analysis showed that central obesity (waist circumference (WC) above 90 cm in men and 85 cm in women) and greater NC were all related to baseline cardiovascular disease (adjusted OR = 1.49, and 1.55). After 10-year follow-up, 340 (10.31%) had cardiovascular events. Compared with patients without cardiovascular events, those having cardiovascular events had higher BMI, larger WC and NC. Cox regression analysis showed that greater WC and NC were all associated with the occurrence of cardiovascular events (adjusted HR = 1.41, and 1.38). A higher NC and WC might increase the risk of cardiovascular events by about 40% in type 2 diabetes patients in Beijing communities.

Body fat indicators for cardiometabolic risk screening among shift workers

BACKGROUND

In view of the costly methods currently available for the assessment of body adiposity, anthropometric obesity indicators have proven effective in predicting cardiovascular risk.

OBJECTIVE

To investigate the discriminatory power of body fat indicators for cardiovascular risk screening among shift workers.

METHODS

Cross-sectional study with male employees of an iron ore extraction company. The predictive power of body fat indicators relative to cardiovascular risk was analyzed based on the Framingham risk score and metabolic syndrome by means of receiver operating characteristic curves, sensitivity, specificity, positive and negative predictive values, area under the receiver operating characteristic curve and Youden's index.

RESULTS

The prevalence of cardiovascular risk was 14.2% in the metabolic syndrome risk model. According to the Framingham score, 95.0%, 4.1% and 0.9% of the participants exhibited low, moderate and high risk, respectively. All the analyzed body fat indicators exhibited satisfactory discriminatory power for the tested cardiovascular risk models.

CONCLUSION

Waist-height ratio exhibited the highest ability to predict cardiometabolic risk in both risk models.

Cost-Effectiveness of Passion Fruit Albedo versus Turmeric in the Glycemic and Lipaemic Control of People with Type 2 Diabetes: Randomized Clinical Trial

BACKGROUND

Robust evidence has related yellow passion fruit albedo and long turmeric to the metabolic and glycemic control of diabetes.

AIM

To analyze the incremental cost-effectiveness of the flour made from yellow passion fruit albedo versus long turmeric merged with piperine in the glycemic and lipid control of individuals with type 2 diabetes.

METHOD

Eighty-nine patients were enrolled in this randomized, placebo-controlled, clinical trial for 120 days. The first group was prescribed 500 mg capsules, three times a day, of yellow passion fruit albedo flour (FAMA). The second group was prescribed long turmeric capsules (500 mg), merged with piperine (5 mg) (CURPI), at fasting. The third group followed the standard advice recommendations, and ingested a placebo of carboxymethyl cellulose (500 mg) at fasting.

RESULTS

The group using FAMA showed a higher reduction (-5.9%) of glycemia after fasting, compared to placebo (+9%), and CURPI (-3.2%) (p < 0.05). Regarding HbA1c, the study observed a significant and similar statistical reduction (-0.8%) in the intervention groups, in contrast with the placebo group (p < 0.05). The reduction in HOMA-IR in the CURPI group (-9.4%) was higher than the other groups (p < 0.05). The CURPI group also showed a higher reduction of serum triglyceride levels (-20.8%) compared to the placebo (-0.09%) and FAMA (+1.8%) (p < 0.05) groups.

CONCLUSION

It was concluded that turmeric is the most cost-effective in comparison with yellow passion fruit albedo, because of its decrease in the levels of triglycerides and HOMA-IR, even when adjusted for confounding variables. On the other hand, HbA1c cost-effectiveness relation was similar.

Influencing factors for peripheral and posterior lesions in mild non-proliferative diabetic retinopathy-the Kailuan Eye Study

AIM

To explore the influencing factors of diabetes type 2 patients with mild non-proliferative diabetic retinopathy (NPDR) in the Kailuan area of Tangshan, Hebei Province, China.

METHODS

In this non-interventional, retrospective study, 683 patients with type 2 diabetes were included in the Kailuan Diabetic Retinopathy Study involving participants with diabetes in the community-based longitudinal Kailuan Study. Based on the undilated ultra-wide field (200°; UWF) images and partial dilated digital fundus images, the diabetic retinopathy (DR) of the surveyed population was graded. Interobserver agreement was estimated by using Cohen's Kappa statistics. The main outcome indicators included gender, age, weight, height, body mass index, blood pressure, circumferences of neck, waist and hip, current smoking, levels of fasting plasma glucose (FPG), hypersensitive C-reactive protein, creatinine, and cholesterol, etc. According to different lesions' locations of patients with mild NPDR, logistic regression models were used to estimate the odds ratios (ORs) and their 95%CIs of each risk factor.

RESULTS

The study group of 683 patients included 570 males and 113 females. The mean age of the patients was 62.18±9.41y. Compared with dilated fundus examinations, there was fair agreement with the level of DR identified on UWF images in 63.91% of eyes (k=0.369, 95%CI, 0.00-0.00). Detected by UWF images, there were 98 patients with mild NPDR having peripheral retinal lesions, 35 patients with mild NPDR having posterior lesions, 44 patients with mild NPDR whose lesions were detected both in and out the standard two fields area, and 336 patients with non obvious DR. Parameters that conferred a statistically significant increased risks for mild NPDR with having peripheral retinal lesions were neck circumstance (OR, 1.124; 95%CI, 1.044-1.211), and with posterior lesions were FPG (OR, 1.052; 95%CI, 1.007-1.099).

CONCLUSION

UWF is an effectiveness means of DR screening. Moreover, it is necessary to evaluate peripheral diabetic retinal lesions which can help to estimate the severity of DR. The phenomenon that nonuniform and inhomogeneous distribution of DR lesions has been found. And the influencing factors in mild NPDR are differing by different lesions' locations.