Groups of the Body Constitution and Age-Related Anthropometric Parameters in Kyrgyz Women

This article is investigating constitutional and age characteristics of the body length, body weight, body mass index (BMI), and the absolute fat mass of Kyrgyz women. The features of the BMI and fat body mass in females with different constitutional and age groups were studied. According to our study, the leptosomatic group of body constitution was determined in 20% of women, while the mesosomatic group noted in 32%, megalosomatic group recorded in 33%, and an indefinite group established in 15% among the studied women. Stenoplastic constitution was 66% - 77% in the leptosomal constitution;asthenic thin bone group was 18% - 24%;and broad bone group somatotypes were 5 - 10%. The proportion of the mesoplastic group was 31 - 66%, which is greater than picnic somatotype (34% - 69%). Results of our study revealed constitutional and age peculiarities are important for prescriptions in practical medicine.

Association of Various Anthropometric Indices with Sudomotor Dysfunction in Type 2 Diabetic Patients

Aim: To investigate the relationship between sudomotor dysfunction and various body composition analysis indices in type 2 diabetic patients. Methods: Between January 2016 and April 2021, 136 diabetic participants who had undergone body composition analysis (BCA) were recruited for this cross-sectional study. Sudomotor functions were assessed using SUDOSCAN, and participants were grouped into patients with normal (Group 1, n = 51), mildly reduced (Group 2, n = 46) and severely reduced (Group 3, n = 39) foot electrochemical skin conductance (FESC) levels. Results: The mean age was 60.4 ± 10.1 years, median diabetes duration was 12 (6 - 19) years, and 52.2% of participants were males. Among BCA parameters, the significant differences were found in total fat (TF) (p = 0.023), percentage of TF (%TF) (p = 0.025), percentage of android fat (%AF) (p = 0.048), fat mass (FM) in arms (p = 0.016), FM in legs (p = 0.002), appendicular fat mass (aFM) (p = 0.002), appendicular fat mass/body mass index (aFM/BMI) ratio (p = 0.009) between three groups. In Spearman correlation analysis, FESC was correlated with RBC, ESR and homocysteine (r = 0.171, r = −0.190, r = −0.192, p β =0.161, 0.155, 0.165, 0.185, p Conclusion: The progressive decline of sudomotor function is positively associated with loss of subcutaneous fat in arms and legs, suggesting that subcutaneous fat of extremities may be necessary to prevent DPN progression in type 2 diabetic patients.

Prediction of Abdominal Visceral Obesity From Body Mass Index,Waist Circumference and Waist-hip Ratio in Chinese Adults:Receiver Operating Characteristic Curves Analysis

Objective To evaluate the sensitivity and specificity of body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) measurements in diagnosing abdominal visceral obesity. Methods BMI, WC, and WHR were assessed in 690 Chinese adults (305 men and 385 women) and compared with magnetic resonance imaging (MRI) measurements of abdominal visceral adipose tissue (VA). Receiver operating characteristic (ROC) curves were generated and used to determine the threshold point for each anthropometric parameter. Results 1) MRI showed that 61.7% of overweight/obese individuals (BMI≥25 kg/m2) and 14.2% of normal weight (BMI<25 kg/m2) individuals had abdominal visceral obesity (VA≥100 cm2). 2) VA was positively correlated with each anthropometric variable, of which WC showed the highest correlation (r=0.73-0.77, P<0.001). 3) The best cut-off points for assessing abdominal visceral obesity were as followed: BMI of 26 kg/m2, WC of 90 cm, and WHR of 0.93, with WC being the most sensitive and specific factor. 4) Among subjects with BMI≥28 kg/m2 or WC≥95 cm, 95% of men and 90% of women appeared to have abdominal visceral obesity. Conclusion Measurements of BMI, WC, and WHR can be used in the prediction of abdominal visceral obesity, of which WC was the one with better accuracy.

Rapid 3D human body modeling based on Kinect technology

The 3D shape of the human body is useful for applications in fitness, games and apparel. Accurate body scanners, howev- er, are expensive, limiting the availability of 3D body models. In this paper, we focus on the human body 3D modeling using one Kinect sensor modeling method. To get the human body model fast, three steps in rapid modeling of the human body are carried out. Firstly, according to anthropometric parameters, the standard model is parameterized; Secondly, the Kinect depth image of the human body model is gotten through, then, by using the PCL library the point cloud data is processed and matched, and the human body model is optimized; Finally, the realistic human body model is obtained with the rapid integration of the standard model and PCL library.

Comparison of Blood Pressure Patterns of Teaching and Non-Teaching Staff of a Nigerian University

Objective: Differences in jobs descriptions and responsibilities may contribute to varying degree of exposure to diseases including high blood pressure. There is dearth of studies comparing blood pressure patterns and anthropometric parameters between teaching and non-teaching staff of university. Therefore, this study was designed to assess and compare the blood pressure and the anthropometric parameters of both teaching and non-teaching staff of a Nigerian university. Materials and Methods: A cross-sectional study was conducted to assess blood pressure pattern and anthropometric parameters among 324 apparently healthy teaching (n = 120) and non-teaching (n = 202) staff of Obafemi Awolowo University, Ile-Ife, Nigeria. Anthropometric parameters including height, weight and hip and waist circumferences were measured. Blood pressure was measured thrice during office hours (9.00 - 11.00 hours) using standard procedures and hypertension was defined as ≥140 ≥90 mmHg. Descriptive and inferential statistics were used to analyze the data at p < 0.05 alpha level. Results: The mean of ages of teaching and non-teaching staff were 46.8 ± 9.8 and 45.6 ± 10.9 years. The prevalence of high blood pressure was 34.9% with a distribution of teaching to non-teaching rate of 20.1% and 14.8% respectively. There were significant correlations between blood pressure and each of weight, body mass index and waist circumference in both groups (p < 0.05). Conclusion: Prevalence of high blood pressure was higher among teaching than non-teaching staff and significant correlations were found between blood pressure and some anthropometric parameters. Public health including regular physical activity enlightenment programmes to reduce blood pressure is recommended.