Body Fat Index Research Articles

Effects of 24-Form Tai Chi on Cardio-Pulmonary Functions, Exercise Performances, and Cognitive Functions of the Aged.

The study aimed to discuss the influences of 24-form Tai Chi on cardio-pulmonary functions, exercise performances, and cognitive functions of the aged. Forty old people in Pingdingshan of China were selected through convenient sampling method from 2020 to 2021. They were randomly divided into the observation group (n=20) and the control group (n=20). The observation group exercised 24-form Tai Chi for 8 weeks, three times per week, 45 min per session. The respondents were evaluated by cardiopulmonary exercise testing, sitting-standing test, 6-min walking test, and the Berg balance scale. The P300 test was performed to evaluate the cognitive functions of respondents. After the intervention, the observation group was significantly (P<0.05) superior to the control group concerning maximal oxygen consumption, anaerobic threshold, vital capacity, stroke volume (SV), cardiac output (CO), left ventricular end-diastolic diameter (LVEDD), left end-diastolic velocity (EDV), sitting-standing test, 6-min walking test, and the Breg balance function scores, showing statistically significant differences (P<0.05). The content of body fat and body mass index (BMI) of the observation group decreased significantly, whereas muscle mass and fat-free mass increased dramatically, which were however significantly lower than those of the controlled group (P<0.05). Moreover, the P3b amplitude of the observation group increased significantly (P<0.05) and was significantly higher than that of the control group (P<0.05). The 24-form Tai Chi not only improves cardio-pulmonary functions and exercise performances of the aged but also increases cognitive functions of the aged.

Alcohol use, physical activity, and muscle strength moderate the relationship between body composition and frailty risk among people living with HIV.

Antiretroviral therapy has improved life expectancy among people living with HIV (PLWH). Despite increased longevity, PLWH are at increased risk of age-related comorbidities, including frailty. We examined the relationship between body composition and frailty among PLWH, and moderation of this relationship by substance use, physical activity (PA), and physical function. Participants (n= 341; 71% male, 48 ± 10 years, body mass index (BMI)=27.3 ± 7.0 kg/m2 ) enrolled in the New Orleans Alcohol Use in HIV (NOAH) study underwent measures of body composition, muscle strength, and gait speed. Whole blood phosphatidylethanol (PEth) was measured, and substance use and PA were self-reported. Frailty risk measures included the 58-Item Deficit Index (DI58) and the Veterans Aging Cohort Study (VACS) Index 1.0, where higher scores indicate greater frailty risk. Multivariable linear regression adjusted for age, sex, and race showed that higher fat-free mass index (FFMI), body fat (%), waist-to-hip ratio, and body mass index (BMI) ≥ 25.0 kg/m2 vs. < 25.0 kg/m2 were significantly (p< 0.05) associated with decreased frailty risk measured by the VACS Index, whereas adjusted analyses showed no association between body composition variables and the DI58 score. Recent alcohol use, muscle strength, and PA, but not lifetime alcohol use or gait speed, significantly moderated associations between body composition variables and frailty risk with medium-to-large effect sizes. Subgroup analyses revealed a negative relationship between DI58 and FFMI among people with PEth>8 ng/ml and negative relationships of VACS Index with FFMI and WHR in people with lower muscle strength. Overweight or obese BMI categories were positively associated with DI58 in people with lower muscle strength or higher PA level but negatively associated in those with higher muscle strength. Our findings indicate that body composition has significant modulatory effects on frailty risk in PLWH, where obesity increases the risk of frailty and greater muscle mass may be protective, even in individuals who use alcohol. These results highlight the importance of considering body composition, physical activity, and physical function in assessing frailty risk in PLWH, particularly among individuals who use alcohol. Moreover, they support the implementation of physical activity interventions to ameliorate the risk of frailty in aging PLWH.

Antibiotics administration alleviates the high fat diet-induced obesity through altering the lipid metabolism in young mice.

Currently, there is a global trend of rapid increase in obesity, especially among adolescents. The antibiotics cocktails (ABX) therapy is commonly used as an adjunctive treatment for gut microbiota related diseases, including obesity. However, the effects of broad-spectrum antibiotics alone on young obese hosts have rarely been reported. In the present study, the 3-week-old C57BL/6J male mice fed a high-fat diet (HFD) were intragastric administration with ampicillin, vancomycin, metronidazole or neomycin for 30 days. The lipid metabolites in plasma were assessed by biochemical assay kits, and genes related to lipid metabolite in the white adipose were assessed by qPCR. To further analyze the underlying mechanisms, the expression of genes related to lipid metabolism, inflammatory reactions and oxidative stress in the liver were determined by qPCR assay. In addition, the expression of oxidative damage-associated proteins in the liver were detected by western blot. The results showed that oral antibiotics exposure could reduce body weight and fat index in HFD-fed mice, concurrent with the increase of white adipose lipolysis genes and the decrease of hepatic lipogenic genes. Furthermore, antibiotics treatment could clearly reverse the HFD-induced elevation of oxidative damage-related proteins in the liver. Together, these findings will provide valuable clues into the effects of antibiotics on obesity.

How Stress Is Related to Age, Education, Physical Activity, Body Mass Index, and Body Fat Percentage in Adult Polish Men?

Stressful events and chronic tension are considered a burden and a threat to physical, mental, and social health. The aim of the study was to demonstrate the associations of variation in stress exposure with social factors, physical activity, basic components of physical fitness, body mass index (BMI) and percentage of body fat (BFP). An additional objective was to identify the main BFP modifiers among those analyzed. The material consisted of data of ethnically homogeneous group 355 men (32–87 yrs), invited to the study as part of the Wroclaw Male Study research project. The analyzed features included socioeconomic status (age, educational level), elements of lifestyle (physical activity), major and most important stressful life events—Social Readjustment Rating Scale (SRRS) and basic parameters of the somatic structure of the body (BMI, BFP). Statistical analyses included: chi-square test, Mann–Whitney U test and backward stepwise regression (significance level α = 0.05). Stress exposure showed significant socioeconomic variation among the adult Poles studied. Higher levels of education were associated with higher levels of stress. Significant correlations between SRRS and physical activity were found, especially in men older than 60 years and with higher levels of education. A positive relationship was shown between SRRS and BFP, especially in men under 60 years of age. BFP appeared to depend mainly on age and stress. The main determinants of SRRS were age and education level, while BFP turned out to be more sensitive to stress than BMI. The modifying force of physical activity for SRRS appears to be age dependent.

The CUN-BAE, Deurenberg Fat Mass, and visceral adiposity index as confident anthropometric indices for early detection of metabolic syndrome components in adults

There is no definition for the metabolic syndrome; visceral obesity, elevated lipids and glucose, and hypertension coexist. The aim of the study is to determine which anthropometric indicators best determine it. Cross-sectional study in 418,343 Spanish workers. Metabolic syndrome was determined using the NCEP-ATPIII, IDF and JIS criteria. The anthropometric variables studied were: body mass index, waist circumference, waist-to-height ratio, CUNBAE, Deuremberg formula, body fat index, body surface index, normalized weight adjusted index, body roundness index, body shape index, visceral adiposity index (VAI), dysfunctional adiposity index, conicity index, metabolic score for visceral fat (METS-VF), waist triglyceride index. In men, the anthropometric indices with the largest areas under the ROC curve are VAI with ATPIII criteria and JIS. If we use the IDF criteria: waist circumference and METS-VF, with the same result. In women, the largest areas under the curve were observed with the Deuremberg formula in both ATPIII and JIS while with the IDF criteria it is METS-VF. The most useful anthropometric indices for identifying metabolic syndrome are CUN-BAE and Deuremberg, followed by the VAI. A single definition of metabolic syndrome should be agreed to determine the best anthropometric index with predictive capacity for its diagnosis.

Comparison of different obesity indicators with dyslipidemia and hypertension in adults of Guangxi Yao ethnic group

To investigate the relationship between obesity indicators and dyslipidemia and hypertension in the Yao population of Guangxi. In 2015, we examined the body composition data of 784 Yao residents aged 18 years or older in Guangxi using a multi-stage whole-group random sampling method, analyzed the association between 10 indicators responding to the degree of obesity and dyslipidemia and hypertension, and analyzed the predictive value of each obesity indicator for dyslipidemia and hypertension by receiver operating characteristic(ROC) curves. There were 58.80% of Yao adults with dyslipidemia, with no difference between men and women(χ~2=0.24, P&gt;0.05); 15.94% of Yao adults had hypertension, with a higher prevalence in men than in women(χ~2=4.76, P&lt;0.05). ROC curves plotted with dyslipidemia as the dependent variable showed that the best predictor of risk of dyslipidemia prevalence in the Yao adult population was waist-to-hip ratio(WHR)(AUC=0.62, 95% CI 0.56-0.68) with a cut point of 0.86 in men and waist circumference(AUC=0.64, 95% CI 0.59-0.69) with a cut point of 75.50 cm in women. The ROC curves were plotted with hypertension as the dependent variable, and the result showed that the best predictor of risk of hypertension in the Yao adult population was: visceral fat content(AUC=0.62, 95% CI 0.56-0.68) with a cut point of 0.65 kg in men and WHR(AUC=0.67, 95% CI 0.62-0.72) with a cut point of 0.82 in women. Compared with indicators reflecting general obesity such as body mass index and percentage of body fat, indicators reflecting abdominal obesity such as waist circumference, WHR and visceral fat content are more closely related to two metabolic diseases such as dyslipidemia and hypertension in the Yao population.

Body composition and anthropometric indicators as predictors of blood pressure: a cross-sectional study conducted in young Algerian adults.

Various body indicators are used to predict health risks. However, controversies still exist regarding the best indicators to predict CVD. Using a large number of measurements, our aim was to assess their associations with blood pressure (BP) and to identify the most relevant parameters to be used in health surveillance studies. The population included 589 students (67·2 % women) aged 20-25 years from Constantine (Algeria). Sixteen parameters were considered, including crude body measurements, ratios and body fat indicators based on bioelectrical impedance analysis (BIA). We used multi-adjusted linear regression models to assess the associations between body measurements and BP. According to WHO definitions, underweight, overweight-without obesity, obesity and hypertension (HT) were identified in 6·1, 18·0, 2·4 and 5·1 % of the subjects, respectively. Prevalence of HT was higher in men than in women (11·9 % v. 1·8 %; P < 0·001). In the whole sample, almost all indicators were positively associated with systolic and diastolic BP. The suprailiac skinfold had the strongest associations with systolic (β = 3·498; P < 0·001) and diastolic (β = 2·436; P < 0·001) BP, and as a whole, arm circumferences and weight were also good candidates. The currently used BMI, waist-to-hip, waist-to-height ratio and BIA indictors also predicted BP, but they did not seem to be better determinants of BP than crude anthropometric measurements. This study showed that overweight and HT were already found in the present population of young Algerian adults. Most body indicators were highly associated with BP, but simple anthropometric measurements appeared to be particularly useful to predict BP.

Performance of body mass index and body fat percentage in predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran

BackgroundBody Fat percentage (BFP) and body mass index (BMI) are used to measure obesity-related metabolic syndrome risk. The present study aimed to determine the values of percent body Fat and body mass index for predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran.MethodsA total of 1022 (499 males and 523 females) diabetic patients participated in this study. According to Asian BMI criteria, Overweight was diagnosed if a participant had a BMI ≥25 kg/m2 (both male and female) or BFP ≥25% for male and ≥ 32% for female. Based on calculated BMI and BFP and after adjusting for age, height, weight and smoking habits, the participants were classified into group A (normal weight and Non-Fat), group B (overweight and Non-Fat), group C (normal weight and Fat), and group D (overweight and Fat).ResultsAccording to the results, the BMI of 23.4% were normal and BMI of 76.6% were overweight, respectively. Moreover, the BFP of 25.7 and 74.3% of the studied population were considered as Non-Fat and Fat, respectively. A strong relationship was found with respect to sex stratification; R2 = 0.79. For men, BMI can be a better predictor of hypertension and hypertriglyceridemia than BFP. For women, BMI was a better predictor of hyperglycemia than BFP. Moreover, BFP can be regarded as a better predictor of hyperglycemia in male group, while it was a good predictor of hypertension and hypertriglyceridemia and hypo HDL than BMI, in female group.ConclusionSignificant differences were observed between BMI and BFP to predict metabolic syndrome risk factors in diabetic patients across different sexes in our study population. In conclusion, both BMI and BFP should be considered in screening steps.

New roles of N6-methyladenosine methylation system regulating the occurrence of non-alcoholic fatty liver disease with N6-methyladenosine-modified MYC.

Non-alcoholic fatty liver disease (NAFLD) has become a major chronic disease in contemporary society, affected by N6-methyladenosine (m6A) RNA methylation, one of the most common RNA modifications. Compared with healthy control, m6A RNA methyltransferase 3 (METTL3) and METTL14 increased, while Wilms tumor 1-associated protein (WTAP) and RNA-binding motif protein 15 (RBM15) decreased significantly in NAFLD, and the m6A demethylases fat mass and obesity-associated protein (FTO) elevated. Meanwhile, the m6A binding proteins, YT521-B homology (YTH) domain-containing 1 (YTHDC1), YTHDC2, insulin-like growth factor 2 mRNA binding protein 1 (IGF2BP1), heterogeneous nuclear ribonucleoprotein C (HNRNPC), and HNRNPA2B1 were decreased, while eukaryotic translation initiation factor 3 subunit H (EIF3H) was increased significantly. All these changes of m6A regulators had significant differences between healthy control and NAFLD, but no differences between the NAFL and NASH group. The expression level of RBM15, HNRNPC, and HNRNPA2B1 were related to body fat index. RBM15, YTHDC2, HNRNPC, HNRNPA2B1, and EIF3H were related to steatosis. Also, KIAA1429 and YTH domain family 1 (YTHDF1) were related to lobular inflammation. Taken together, m6A regulators were involved in the occurrence of NAFLD. More importantly, abnormal MYC was determined as a key link to m6A regulation of NAFLD. The higher MYC mRNA level was accompanied by higher HDL cholesterol and unsaturated fatty acid proportions, as well as lower fat mass, glucose, and transaminase. Taken together, dysregulation of m6A methylation caused steatosis and fibrosis, affecting the occurrence of NAFLD, and MYC might be its potential target.

Effects of Dietary Allitol on Body Fat Accumulation in Rats.

Allitol is a rare sugar alcohol obtained by reducing d-allulose (d-psicose). However, information on the effects of long-term dietary allitol intake is limited. This study aimed to investigate the effect of allitol supplementation, as a sugar substitute, on body fat accumulation in rats compared with sucrose, rare sugar d-allulose, or erythritol. Thirty-two male Wistar rats (3 wk old) were fed experimental diets including 5% sucrose, allitol, erythritol, or d-allulose for 8 wk ad libitum. Weight gain, food intake, and food efficiency did not differ among the groups. The total body fat mass and percentage, and intra-abdominal adipose tissue weights were significantly lower in rats fed with the allitol diet than in those fed with the sucrose diet. These body fat indicators tended to be lower in rats fed with the erythritol and d-allulose diets than in those fed with the sucrose diet, but there was no significant difference. The serum glucose-lowering effect obtained in rats fed with the d-allulose diet did not appear in rats fed with the allitol diet. These results suggest that the anti-obesity effect of allitol may be equal to or greater than that of d-allulose.

Objective and Subjective Appetite Assessment in Patients with Gynecological Cancer: A Pre- and Post-Operative Pilot Study.

Although appetite and its disorders have been implicated in disease progression and outcomes, ghrelin concentrations, an objective appetite measure, are rarely assessed in patients with gynecological malignancies. The present study aimed to assess changes in post-operative versus pre-operative appetite levels in patients with gynecological cancers scheduled for tumor removal surgery (N = 53). Acylated ghrelin concentrations were assessed as an objective appetite proxy, whereas the Council of Nutrition appetite questionnaire (CNAQ) was employed as a subjective appetite measure. Ghrelin concentrations were increased post-operatively (median: 12.1 pg/mL, IQR: 0.67 to 23.5, p-value = 0.001) but the perceived appetite of patients (CNAQ) remained unchanged (median: −1, IQR: −3 to 1). Tumor removal surgery decreased all anthropometric indices (body weight, body mass index, waist and hips circumferences, triceps skinfolds, body fat, fat mass and fat mass index, p-value ≤ 0.001 for all) and doubled the risk of malnutrition among patients. No difference was recorded in the change in participants’ objective and subjective appetite when they were classified according to the tumor type. No correlation was observed between ghrelin concentrations and CNAQ score pre-operatively (Spearman’s rho correlation coefficient = −0.181, p-value = 0.298) or post-operatively (Spearman’s rho correlation coefficient = 0.071, p-value = 0.684). The observed post-operative rise in ghrelin concentrations is associated with body weight loss and consists of a possible defense mechanism of the human body, aiming to prolong survival.

Emergent Anthropometric Indices in Differential Prediction of Prehypertension and Hypertension in Mexican Population: Results according to Age and Sex.

Background Hypertension (HTN) is recognized as a significant public health problem in the world. The objective of this study is to evaluate emergent anthropometric indices as predictors of preHTN and HTN according to age and sex in a sample of Mexican adults. Methods A cross-sectional study was conducted in 1,150 participants aged 18–80 years old. Anthropometric data and blood pressure measurements were analyzed. Comparisons between men and women were carried out by independent analysis. Cutoff points for each emergent anthropometric index were obtained using the values' upper second and third tertiles. Logistic regression models and receiver operating characteristics curve analyses were used to assess the association and the predictive value of several emergent anthropometric indices with the presence of preHTN and HTN. Results The prevalence of preHTN and HTN was 29.74% and 14.35%, respectively. In a logistic regression analysis adjusted by age and sex, the body roundness index (BRI) (OR = 2.08, p < 0.001) and conicity index (CI) (OR = 1.37, p=0.044) were associated with preHTN, while CI (OR = 2.47, p < 0.001) and waist to height squared (W/Ht2) (OR = 2.19, p < 0.001) were associated with HTN. Furthermore, in both sexes, BRI was the main predictor of preHTN (AUC: 0.634 and 0.656, respectively). Particularly, according to sex and age range, the predictive emergent anthropometric indices in men were the body shape index (ABSI) and waist to height cubic (W/Ht3) (AUC = 0.777 and 0.771, respectively), whereas in women, the predictors were CI and ABSI (AUC = 0.737 and 0.729, respectively). In men ≤40 years old, central body fat indices were predictors of preHTN and HTN, but in men >40 years old, the predictor indices were W/Ht3 and W/Ht2. In women ≤40 years, the pulse mass index (PMI) was the best main predictor (AUC = 0.909) of HTN. Conclusion CI, PMI, W/Ht3, W/Ht2, and ABSI could represent differential predictors of preHTN and HTN between men and women according to age range.

Identification of the Best Anthropometric Index for Predicting the 10-Year Cardiovascular Disease in Southwest China: A Large Single-Center, Cross-Sectional Study.

This population-based cross-sectional study aimed to identify the best predictor of the 10-year cardiovascular (CV) high risk among old and new anthropometric indices. We investigated 76,915 adults older than 18 years of age living in southwest China. Ten obesity indices were calculated. The 10-year cardiovascular disease (CVD) risk was estimated using the Framingham risk score. Receiver operating characteristic curve analysis was performed to assess the ability of the anthropometric index to predict the 10-year high risk of CVD events. The waist-to-hip ratio (WHR) had the highest area under the curve (AUC) value (0.711; sensitivity: 62.22%, specificity: 42.73%) in men, while the body fat index (BAI) had the lowest AUC value (0.624, sensitivity: 49.07%, specificity: 54.84%). The waist-to-height ratio (WHtR) and the body roundness index (BRI) showed the highest AUC value (0.751, sensitivity: 39.24%, 39.83%, specificity: 75.68%, 68.59%) in women, while the BAI showed the lowest AUC value (0.671, sensitivity: 53.15%, specificity: 57.14%). The WHR was the best anthropometric measure for assessing the 10-year high risk of CVD in men, while the WHtR and BRI were the best measures for women. In men, the WHR should be <0.88, and in women, the WHtR should be <0.502 or the BRI should be <3.41.

Sex Differences in Anthropometric and Physiological Profiles of Hungarian Rowers of Different Ages.

The aim of this study was to determine sexual differentiation in the anthropometric and physiological characteristics of Hungarian rowers in different age categories. These characteristics were measured for 15–16-year-old juniors (55 men and 36 women), 17–18-year-old older juniors (52 men and 26 women), and 19–22-year-old seniors (23 men and 8 women). The degree of sexual dimorphism was expressed in units of measurement as percentages and the dimorphism index. In all age categories, females had significantly higher body fat indices. Body fat percentage was determined by electrical impedance and by the Pařízková formula, BMI, and skinfold thicknesses. Males had significantly higher body mass, body height, skeletal muscle mass, sitting height, arm span, lower limb length, and body surface area. Males also scored significantly higher values for the following physiological characteristics: peak power, relative peak power, ErVO2max, jump height, speed max, force max, and relative maximal power. Analysis of anthropometric and physiological characteristics in Hungarian rowers revealed that sexual dimorphism tended to increase with age, regardless of whether it was expressed in units of measurement, percentages, or dimorphism index values. The age-related increase in the sexual dimorphism of Hungarian rowers suggests that training methods should be carefully selected to accommodate the needs of various age and gender groups.

Effect of a six-week times restricted eating intervention on the body composition in early elderly men with overweight

The main aim of the study was to determine the effectiveness of time-restricted eating (TRE) in reducing body fat and lowering body mass index in early elderly men with overweight (65–74 years). An additional goal was to determine the feasibility of applying TRE for extensive use in elderly men. This study included a group of 46 healthy men (EXP = 23 persons, CON = 23 persons). The six-week intervention in the experimental group involved complete abstinence from food intake for 16 h per day, from 08:00 to 12:00 p.m. After the intervention, the body weight decreased in the EXP group (− 1.92 kg) with a 95% CI (1.14–2.70) compared to the CON group. There was also a decrease in the Visceral fat mass (− 0.64 l) with 95% CI (0.46–0.82) and in the waist circumference (− 3.11 cm) with 95% CI (1.89–4.33) in the EXP group compared to the CON group. The skeletal muscle mass did not change significantly. There was no significant change in the control group, either. The application of TRE in early elderly overweight men resulted in positive changes in body composition and visceral fat. All participants succeed in the prescribed diet plan, which shows that TRE is easy to maintain for early elderly overweight men and may become an essential obesity treatment tool in these age groups.

Characteristics of Body Composition Estimated by Air-Displacement Plethysmography in Chinese Preschool Children.

ObjectiveTo describe the characteristics of body composition by air-displacement plethysmography (ADP) among Chinese preschool children.MethodsPreschool children were recruited from three kindergartens. Adiposity indices were evaluated using the ADP method. BMI, fat mass index (FMI), fat-free mass index (FFMI) and waist-to-height ratio (WHtR) were calculated. Overweight and obesity were diagnosed using the WHO reference. Analyses were executed by SPSS and MedCalc software. Smoothed curves were constructed using the lambda-mu-sigma (LMS) method.ResultsThis study evaluated the growth trend for body composition of ADP-based body fat indices based on a relatively large sample of preschool children, the first ever reported in China. A total of 1,011 children aged 3–5 years comprised our study population. BMI and FFMI increased with age, but the slope (P = 0.710) and y intercept (P = 0.132) in the BMI trend analysis demonstrated no differences between boys and girls. For the FFMI trend lines, the slope was significantly higher for boys than for girls (P = 0.013). The percentage of fat mass (FM%), FMI, and WHtR were negatively correlated with age for both sexes, except for FMI in girls (P = 0.094). The 95% CI regression lines for FM% according to different weight statuses intersected.ConclusionsADP is applicable to estimating body composition among Chinese preschool children. Misclassifications might occur when overweight/obese status is defined based on surrogate indices.

A cutoff value for body composition on the severity of locomotive syndrome in Japanese older women: A cross-sectional study

We aimed to investigate the relationship between body compositions and locomotive syndrome in older women and derive body composition cutoff values to evaluate locomotive syndrome severity. In total, 236 women were included in this study. The percentage of body fat and skeletal muscle mass index was measured using multi-frequency bioelectrical impedance analysis. The locomotive syndrome severity (stage 0–3) was determined using the standup test, the two-step test, and a self-administered questionnaire. The receiver operating characteristic curve analysis indicated that the cutoff value for body fat percentage was 33.1% for locomotive syndrome stage 1 in women. This finding may aid in designing exercise and nutritional interventions to prevent locomotive syndrome in older women.

Trends in BMI Percentile and Body Fat Percentage in Children 12 to 17 Years of Age.

This study evaluates the cross-sectional trends in body fat percentage (BF%) and body mass index (BMI) percentile rank, and the relationship between the two in 332 (177 boys, 155 girls) 12- to 17-year-old children. Body mass index (BMI) was calculated using measured height and body mass, and sex-specific BMI for age percentile rank was determined using CDC growth charts. Body fat percentage (BF%) was measured with DEXA. Fat mass index (FMI) and fat-free mass index (FFMI) were calculated by normalizing the fat mass and fat-free mass for height. Compared to boys of the same age, girls had significantly higher BF% and FMI values and lower FFMI values. Compared to boys, at a given BMI percentile rank, females had a higher BF% and FMI, and a lower FFMI. In both boys and girls, there was an exponential increase in adiposity above the 70th percentile rank. BMI percentile rank is not an equivalent indicator of body fatness in boys and girls. Other measures of body composition can further inform the practitioner of a child’s adiposity.

Alterations in metabolic biomarkers and their potential role in amyotrophic lateral sclerosis.

BackgroundMetabolic dysfunction has been suggested to be involved in the pathophysiology of amyotrophic lateral sclerosis (ALS). This study aimed to investigate the potential role of metabolic biomarkers in the progression of ALS and understand the possible metabolic mechanisms.MethodsFifty‐two patients with ALS and 24 normal controls were included, and blood samples were collected for analysis of metabolic biomarkers. Basal anthropometric measures, including body composition and clinical features, were measured in ALS patients. The disease progression rate was calculated using the revised ALS functional rating scale (ALSFRS‐R) during the 6‐month follow‐up.ResultsALS patients had higher levels of adipokines (adiponectin, adipsin, resistin, and visfatin) and other metabolic biomarkers [C‐peptide, glucagon, glucagon‐like peptide 1 (GLP‐1), gastric inhibitory peptide, and plasminogen activator inhibitor type 1] than controls. Leptin levels in serum were positively correlated with body mass index, body fat, and visceral fat index (VFI). Adiponectin was positively correlated with the VFI and showed a positive correlation with the ALSFRS‐R and a negative correlation with baseline disease progression. Patients with lower body fat, VFI, and fat in limbs showed faster disease progression during follow‐ups. Lower leptin and adiponectin levels were correlated with faster disease progression. After adjusting for confounders, lower adiponectin levels and higher visfatin levels were independently correlated with faster disease progression.InterpretationThe current study found altered levels of metabolic biomarkers in ALS patients, which may play a role in ALS pathogenesis. Adiponectin and visfatin represent potential biomarkers for prediction of disease progression in ALS.

Modeling Analysis of the Relationship between Adolescent Aerobic Exercise and Obesity Reduction Based on Deep Learning

In order to explore the modeling analysis of the relationship between adolescent aerobic exercise and obesity reduction, the relationship modeling method of deep learning algorithm is proposed. This study integrates deep learning algorithms and first uses the changes in body shape, weight, BMI index, body fat, body circumference, and other indicators of adolescent obese before and after aerobic exercise as the initial pheromone distribution matrix and introduces random evolution factor and evolutionary drift threshold to establish the objective function of aerobic exercise to reduce adolescent obesity. It also explains the constraint conditions that aerobic exercise has to meet in the reduction of adolescent obesity and introduces particle algorithm to establish a model of optimal aerobic exercise to reduce adolescent obesity. The simulation results show that, under the same number of experiments, the advantages of this method are more obvious. On the overall level, the average modeling error of this method is about 0.053%, while the average of the traditional method is about 0.186%, indicating that the method can reduce the error control within a reasonable range. It proves that deep learning can effectively reflect the modeling analysis of the relationship between adolescent aerobic exercise and obesity reduction.