Effects of 6-Month Weight Loss New Program on Anthropometric Measurements and Biological Profile

Obesity has become a leading global health problem owing to its strong association with a high incidence of diseases. Obesity is results from the complex interaction of environmental factors that act on a genetic background and led to excess accumulated of body fat. Treatment of obesity includes determination of the degree of obesity, management weight loss programme and maintenance of body weight. To investigate effect 6 months safe weight loss program on anthropometric measurements and biological and metabolic profiles in obese patients. 35 obese patients were enrolled in the present study： 20 female, 15 male. Participants underwent a comprehensive series of biochemical, anthropometrical, physical, and nutritional prior to treatment- at baseline and after the six-month of the obesity treatment program. 6 months weight loss program. Diet plan intervention in small groups. In-person training and individual diet plan intervention. There is significant reduction in weight and high improvement in laboratory parameters. Our data showed that there an improvement in weight loss. These finding may be important for controlling obesity-related co-morbidities. It would appear that moderate weight loss of 8-10 % observed in our study resulted in significant improvements in laboratory parameters

Anthropometric Breast Measurements: Analysis of the Average Breast in the Mexican Female Population

Introduction: The elements and perception of beauty vary between populations around the world. To obtain better results, surgical techniques should be planned based on anthropometric characteristics of the race, location, and body mass index (BMI). Objectives: To determine which are the standard measurements and anatomical proportions of the breast in a healthy Mexican women population. Materials and Methods: Female Mexican volunteers between 20 and 60 years of age, without any history of breast illness or breast surgery were studied. Demographic information and standard breast anthropometric measurements were collected manually by one of the authors. For the statistical analysis a Student-T test was performed, and the Pearson correlation coefficient was obtained using the latest version of SPSS software. Results: 78 volunteers were included in the analysis. Mean height, weight and BMI were 1.6 m, 68.9 Kg, and 26.6 Kg/m2 respectively. The mean anthropometric values found were: Supra Sternal notch to nipple distance (SSN:N) 22 cm, Breast volume (BV) 372.6 cm3, Upper breast pole length (UBPL) 11 cm, Lower Breast Pole length (LBPL) 7.7 cm, Midline to Nipple distance (ML:N) 10.2 cm, Transverse diameter of the Nipple areola complex (NAC-T) 4.1 cm, Height of the Nipple Areola Complex (NAC-H) 4.1 cm, Base of the breast (BB) 13.4 cm, Upper Pole to Lower Pole Ratio (UPP:LPP) 58.9:41.1. A statistically significant difference between Right and left breast was not found. The UPP/ LPP ratio in our population is far different from what is considered internationally aesthetic (45:55). A positive correlation was found between weight/ BMI and SSN:N, BV, BB, ML:N and LBPL. Also between age and SSN:N, LBPL, BV and BB. Conclusion: This study sets the Anthropometric grounds in Mexican population for an objective individual patient analysis and comparison with the female population of this and other nations.

Population-Based and Personalized Design of Total Knee Replacement Prosthesis for Additive Manufacturing Based on Chinese Anthropometric Data

At present,most total knee replacement(TKR)prostheses on the market are designed according to the sizes of Caucasians.However,extensive studies have indicated that human anatomies differ among different ethnicities.A number of reports have indicated that Chinese TKR patients do not match with available prostheses.In this study,computed tomography(CT)images of 52 knees of Chinese men and women were used for anthropometric measurements.Index and geometric measurements were definedand used for correlation analysis.Key parameters from the measurement results were identified.Detailed geometries of knees were measured as coordinates.A deformable three-dimensional(3D)knee modelbased on anatomical coordinates correlating with the identified key parameters was generated.A pros-thesis was then designed according to the analyzed results.Surface matching analysis,bone resectionanalysis,and cadaveric trials were conducted and compared with commercial products to validate theproposed design.The femoral component designed by this study resulted in the highest accuracy(rootmean square point-to-surface(RMS PS),(1.08±0.20)mm)and lowest amount of resected bone volume(27412mm^(3))in comparison with two commercial knee prostheses.This study suggests a new approachfor population-based patient-specific femoral prosthesis design With a single,easilty acquired dimen-sion-namely,epicondyle width(ECW)-as input,a patient-specific femoral prosthesis can be designed according to the analyzed measured data and manufactured by additive manufacturing(AM)methods.Meanwhile,the reconstructed femoral condylar surface was compared with the femoral condylar surfacein the original CT scanning data The average RMS PS distance of the reconstructed femoral condylar surface among all data was(1.10±0.18)mm,which is comparable to other statistical shape modeling methods using multiple radiographs as input data.There is a need to develop an anthropometric-based knee prosthesis for the Chinese population.Based on the anthropometry of the Chinese population,our new design fits Chinese patients better and reserves more bone volume compared with current commercial prostheses,which is an essential step toward AM for personalized knee prostheses.

Reference penile size measurement and correlation with other anthropometric dimensions:a prospective study in 800 men

Virility and sexual pleasure have long been associated with penile size and this,in turn,has typically been linked to some anthropometric measurements,such as foot size or height,leading to various misconceptions from both men and women.Our intention is to estimate penile size parameters in Argentina and evaluate the correlation between penile size and certain anthropometric measurements.This is a cross-sectional,descriptive,multicenter,and observational study.Male patients who underwent a urological procedure were included in four hospitals located in different regions of the country.Different anthropometric measurements were obtained:height,weight,penile circumference,flaccid and stretched length,and foot length.A total of 8o0 patients were evaluated.Mean left foot was 26.4 cm.Mean flaccid penile length was 11.4(95%confidence interval[CI]:8-14)cm,and mean penile circumference was 10.1(95%CI:8-12)cm.Finally,mean stretched penis was 15.2(95%CI:11-18.5)cm.We can confirm that estimates of the average penile measurements in Argentina are flaccid penis length of 11.4 cm,penile circumference of 10.1 cm,and stretching the penis to the maximum in flaccidity of 15.2 cm.Correlations between flaccid penis length,stretched out,penile circumference,height,weight,and length of the left foot were evaluated,finding low or no correlation between those mentioned,exceptforflaccidand stretched length.

Prevalence of Overweight and Obesity among Students Aged 7-22 Years in Jiangsu Province,China

Objective To report the prevalence and trend of overweight and obesity among students aged 7-22 years in Jiangsu, 2010 to 2013. Methods This cross-sectional study was carried out as part of students physical fitness and health survey in Jiangsu province. A total of 255,581 subjects （50.03% males and 49.97% females） enrolled in 82 school and 10 universities in Jiangsu. Weights and heights were obtained for each subject and its body mass index （BMI） was calculated using the Chinese Working Group on Obesity in China （CWGO）. Results Anthropometric measurement including bodyweight, height, BMI and bust were significantly different between males in urban compared to females living rural areas （P〈0.001）. The total prevalence of overweight and obesity was 12.4% and 5.7%. Males had a significantly higher rate than in female＇s student. The prevalence of overweight and obesity by age groups was （14.5%, 10.3%） at age 7-11 years, （11.2%, 6.8%） at age 12-14 years, （11.7%, 3.1%） at age 15-17 years, and （11.4%, 2.3%） at age 18-22 years. By regions; the highest prevalence of overweight obesity reported in Taizhou （10.0%, 14.2%）, Xuzhou （9.4%, 12.5%）, and Nanjing （9.2%, 15.6%）, respectively. Conclusion The finding declares that overweight and obesity are important health problems among students in Jiangsu Province. Early intervention programme are needed to address this problems.

Are body mass index and waist circumference significant predictors of diabetes and prediabetes risk: Results from a population based cohort study

AIM To determine the predictive role of body mass index(BMI) and waist circumference(WC) for diabetes and prediabetes risk in future in total sample as well as in men and women separately. METHODS In a population based cohort study, 1765 with mean ± SD age: 42.32 ± 6.18 healthy participants were followed up from 2003 till 2013(n = 960). Anthropometric and biochemical measures of participants were evaluated regularly during the follow up period. BMI and WC measures at baseline and diabetes and prediabetes status of participants at 2013 were determined. Multivariable logistic regression analysis was used for determining the risk of diabetes and prediabetes considering important potential confounding variables. Receiver operatingcharacteristic curve analysis was conducted to determine the best cut of values of BMI and WC for diabetes and prediabetes. RESULTS At 2013, among participants who had complete data, 45 and 307 people were diabetic and prediabetic, respectively. In final fully adjusted model, BMI value was a significant predictor of diabetes(RR = 1.39, 95%CI: 1.06-1.82 and AUC = 0.68, 95%CI: 0.59-0.75; P < 0.001) however not a significant risk factor for prediabetes. Also, WC was a significant predictor for diabetes(RR = 1.2, 95%CI: 1.05-1.38 and AUC = 0.67, 95%CI: 0.6-0.75) but not significant risk factor for prediabetes. Similar results were observed in both genders.CONCLUSION General and abdominal obesity are significant risk factors for diabetes in future.

Does light-intensity physical activity moderate the relationship between sitting time and adiposity markers in adolescents?

Background:While the relationship between sedentary time and adiposity markers may be independent of moderate-to-vigorous intensity physical activity(MVPA) among adolescents,little is known about the role of light-intensity physical activity(LIPA) in this relationship.The aim of this cross-sectional study was to examine whether device-measured LIPA and MVPA moderate the associations between objectively measured sitting time and adiposity markers(body mass index(BMI)) and waist circumference(WC)) among adolescents.Methods:This study included accelerometer and inclinometer data obtained from 219 adolescents(age=14.9±1.6 years,mean± SD),collected during 2014 and 2015 in Melbourne,Australia.ActiGraph GT3 X accelerometers were used to determine time spent in total-LIPA(101 counts/min to 3.99 metabolic equivalents(METs)) was dichotomized into low-LIPA(101-799 counts/min) and high LIPA(800 counts/min to 3.99 METs),and MVPA(> 4 METs).The average time spent sitting was obtained from activPAL inclinometers.Anthropometric measures were assessed by trained staff.Interactions between sitting and total-LIPA,low-LIPA,high-LIPA,and MVPA on BMI z-score(zBMI) and WC z-score(zWC),respectively,were examined using linear regression,adjusting for age and sex;and moderation by total-LIPA,low-LIPA,high-LIPA,and MVPA were examined by adding interaction terms.Significant interaction effects were probed by comparing associations at the mean and at 1 SD below and above the mean.Results:Total-LIPA significantly moderated the association between sitting time and zBMI,and low-LIPA significantly moderated the association between sitting time and zBMI and zWC.No other associations were found for total-LIPA,high-LIPA,or MVPA.Specifically,at high levels of total-LIPA(+1 SD),there is a negative association between sitting time and zBMI.In addition,at high levels of low-LIPA(+1 SD),there is a negative association between sitting time and zBMI and zWC.Conclusion:Associations between sitting and adiposity depended on time spent in total-LIPA and low-LIPA,but not high-LIPA or MVPA.Results suggest that increasing time spent in LIP A may provide protection from the deleterious effects of sitting on adiposity markers among adolescents.Experimental evidence is needed to support these conclusions.