Design of the Exercise Load Data Monitoring System for Exercise Training Based on the Neural Network

In order to monitor the sports load data of athletes in sports training, this paper studies the methods and systems of sports load monitoring and fatigue warning based on neural network technology. In this paper, the neural network parallel optimization algorithm based on big data is used to accurately estimate the motion load and intensity according to the determined motion mode and acceleration data, so as to realize the real-time monitoring of the exercise training. The results show that the value of η is usually small to ensure that the weight correction can truly follow the direction of the gradient descent. In this paper, 176 samples were extracted from the monitoring data collected by the “National Tennis Team Information Platform,” 160 of which were selected as training samples and the other 16 as test samples. Ant colony size M = 20. The minimum value Wmin of the weight interval is −2, and the maximum value Wmax is 2. The maximum number of iterations is set to 200. σ = 1; that is, only one optimal solution is retained. The domain is divided into 60 parts evenly; that is, r = 60. Generally, η can be taken as any number [28] between [10-3, 10], but the value is usually small to ensure that the weight correction can truly follow the direction of the gradient descent. In this paper, the value is 0.003. In the early warning stage of exercise fatigue, reasonable measurement units of exercise fatigue time were divided according to the characteristics of different exercise items. It is proved that the Bayesian classification algorithm can effectively avoid the sports injury caused by overtraining by warning the fatigue and preventing the sports injury caused by overtraining.

The association of obesity with eating disorders risk: online survey of a large cohort of Russian-speaking individuals seeking medical weight correction assistance

Background Eating Disorders pose a serious health risk to individuals. Often, eating disorder symptoms are overlooked when assessing obesity risk. The current cross-sectional study was focused on the search of association between disordered eating behaviors evaluated by Eating Attitudes Test 26 (EAT-26) and obesity in a large cohort of Russian-speaking adults seeking online assistance with medical weight correction. Methods The web-based cross-sectional study evaluated the data of online Eating Attitudes Test 26 (EAT-26) completed by 13,341 registered adult visitors of weight loss clinic website. The EAT-26 provides an overall score for potential eating disorders risk, as well as scores for three subscales: Bulimia, dieting, and oral control. Additional self-reported information about sex, weight, height, and age of respondents was used for analysis. The nonparametric analysis of variance and binominal logistic regression modeling were applied to search for an association between obesity and EAT-26 total score and subscales scores. The critical level of the significance was considered as α = 0.05. Results Women (94%) had lower BMI values but higher EAT-26 total score than men, which was indicated as statistically significant by a Wilcoxon Signed-Ranks Test (Z = − 11.80, p < 0.0001). Logistic regression for the whole cohort revealed that Bulimia subscale score was associated with higher risk of obesity (OR = 1.03, 95% CI 1.02–1.05) whereas higher score of EAT-26 oral control subscale was associated with decreased risk of obesity (OR = 0.93, 95% CI 0.91–0.95). Separate analysis for men and women showed that in men higher obesity risk was associated with higher oral control subscale scores (OR = 1.08, 95% CI 1.06–1.11); while in women both dieting and bulimia subscales scores were associated with higher obesity risk (OR = 1.02, 95% CI 1.01–1.03 and OR = 1.03, 95% CI 1.02–1.05, respectively). Older age was associated with obesity risk for both women and men. Conclusions In a large cohort of individuals seeking medical weight correction assistance, the risk of obesity was associated with the higher EAT-26 scores, age, and sex. Moreover, different eating disorder risk profiles were associated with obesity in men and women. Higher oral control subscale score was associated with decreased risk of obesity in women, but with higher risk in men. Older age was a shared obesity risk factor for both sexes. Therefore, the use of EAT-26 would facilitate individual diagnostic assessment for specific eating disorders in different sub-cohorts. Further assessment of separate EAT-26 subscales may be important to predict sex-/age-specific risks of obesity that implies their study in the future. Plain English summary Obesity is a significant health problem. Different factors (e.g. social, biological, and behavioral) are important for their successful treatment. Abnormal eating behaviors may be one of the most likely predictors of increased body weight. This study aims to determine whether there is a significant association between obesity and scores on the eating behavior questionnaire-Eating Attitudes Test-26 (EAT-26)-in a large cohort of adults seeking medical weight correction assistance at a private weight loss clinic web-site. According to the study results, the association was shown for the male sex, older age, and higher Bulimia scores as measured on the EAT-26. Moreover, different EAT-26 scales were associated with obesity risks in women and men subgroups, while older age was a shared risk factor for obesity in both sexes. The findings may suggest sex-/age-specific diagnostic approach and treatment strategies for individuals with obesity.

THE PROBLEM OF OBESITY, CORRECTION OF EXCESS WEIGHT IN DOGS

One of the most pressing problems of the 21st century is the problem of overweight and obesity in humans and animals. Currently, obesity is considered a chronic metabolic disease that occurs at any age. Scientific studies confirm that pet owners who are overweight also keep animals whose weight exceeds the norm by about 20 %. Among domestic dogs, obesity is registered in more than 30-40 % of animals. Meanwhile, there is a growing interest among specialists in medicine, both human and animal, for weight correction is a comprehensive approach, in which the main components are proper nutrition and therapeutic physical culture.

CORRECTION OF AUTONOMIC DYSFUNCTION IN YOUNG WOMEN BY OPTIMIZATION OF COMPONENT BODY COMPOSITION

The aim: The article aims toevaluate the possibility of optimizing the state of the autonomic nervous system in almost healthy young females with different component body composition through physicalactivity and sensible nutrition. Materials and methods: The study involved 30 young females. Body weight of women was measured both before and after the proposed weight correction program. Such parameters as body mass index (BMI, kg / m2),fat mass percentage(FMP,%),visceral fat content (VF,unit) and fat free mass content (FFM, %) using a bioimpedance analyser “TANITA BC-601”were measured. Also, the study of the state of the autonomic nervous system (ANS) based on the registration of the rhythmogram using the computer hardware complex “CARDIOLAB” (HAI – Medica) was carried out. Results: Analysis of the results of the study revealed that the regulation of functions in women with suboptimal ratio of adipose and muscle tissues in the body was carried out mainly through suprasegmental levels of regulation (VLF%) and was accompanied by a decrease in the activity of segmental autonomic influences.At the same time, the theoretical assumption about the possibility of correction of autonomic disorders by normalizing adipose and muscle tissueswas experimentally confirmed.Under the influence of a two-month program of body weight correction an increase in the functional activity of the autonomic control loop and improvement of the internal structure of the spectrum of neuroautonomicregulation (reduction of VLF-oscillations and increase of LF-effects and HF-effects) in the examined women were observed. Conclusions: Thus, physical activity and sensible nutrition have a positive effect on the rheology of adipose tissue and the mechanisms of regulation of body functions, so they can be used to correct their disorders.

OBESITY: CLINICAL AND PATHOGENETIC JUSTIFICATION OF PREVENTION AND TREATMENT

Obesity is one of the most common chronic diseases worldwide. Numerous studies in recent years have identified obesity as a key cause of type 2 diabetes, metabolic syndrome, and cardiovascular disease. Comprehensive medical and non−medical treatment of metabolic disorders, obesity and correction of excess body weight are the urgent tasks for both the patient and doctor. When defining the obesity as a chronic psychosomatic disease caused by the interaction of numerous genetic and environmental factors there is emphasized the complexity of the problem, including psychological, medical, social, physical and economic aspects. The widespread prevalence of obesity, which determines its comorbid nature, dictates the need to clarify the principles and options for treatment and prevention. In the process of active study, the multicomponent pathogenesis of obesity with the important role of different parts of the brain determines the relevance of a combination of pharmacotherapy and lifestyle intervention. In pharmacotherapy, the weight correction is an important component and reduces the risk of cardiovascular complications, improves quality of life and prognosis. The basis of weight correction measures is a change in lifestyle, increased physical activity and alteration in diet in order to achieve a balance between energy consumption and expenditure. Weight loss is accompanied with an increased tissue sensitivity to insulin, improved lipid metabolism, elimination of latent inflammation, lowering blood pressure and, accordingly, plays a critical role in prevention of the associated diseases and reducing the risk of complications. The fight against obesity is not only an improvement in the patient general condition, but also a great economic benefit, as the doses of drugs are reduced or the need for hypolipidemic, antidiabetic and antihypertensive drugs disappears. Key words: obesity, metabolic syndrome, diabetes mellitus, cardiometabolic risk, microbiota, insulin resistance, treatment, prevention.