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According to some estimates of World Health Organization (WHO), in 2014, more than 1.9 billion adults aged 18 years and older were overweight. Overall, about 13% of the world's adult population (11% of men and 15% of women) were obese. 39% of adults aged 18 years and over (38% of men and 40% of women) were overweight. The worldwide prevalence of obesity more than doubled between 1980 and 2014. The...
The aim of this study was to investigate the effect of N-back task training to the memory system in obese patients indexed by the EEG power spectrum. Seven normal weight and seven obese patients were included in this study in order to evaluate the modifications of electroencephalographic (EEG) power spectra and EEG connectivity in obese patients. EEG activities were recorded in three minutes during...
This study aimed to evaluate the modifications of electroencephalographic (EEG) power spectra in overweight and obese patients. EEG was recorded while performing the Stroop Color Word Test. Stroop Color Word Test was performed and EEG activity was also monitored during the experiment. Paired t-test and independent t-test were used to show statistical difference between baseline and Stroop Color Word...
Artificial Neural Networks (ANNs) play a vital role in the medical field in solving various health problems like estimating the risk of cardiovascular diseases. The article concerns the process of developing ANNs for estimating the risk of arterial hypertension. ANNs proposed in this article use anthropometrical predictors, easy to control for everybody at home without special equipment. In the article...
Obesity is considered an endemic within the whole European continent, just as in most part of the developed world. Obesity poses an increasing risk, childhood obesity has more than doubled in children and tripled in adolescents in the past 30 years. To assess the impact of obesity we need to take into account the severity of the problems that obesity might cause, as risk is usually interpreted as...
The development of a virtual supermarket as an educational tool is of great relevance in the evaluation of interventions to reduce diabetes risk. This tool allows the consideration of population-specific dietary preferences and provides the opportunity of adapting the educational experience to high-risk groups. Using NeuroVR 2.0, we modeled a local area supermarket to create a testing and training...
The environment in which Indian industries are operating today is continuously changing in term of organisational culture and climate due to increase in international business and foreign assignment The study conducted by us also coincides with these findings. Work stress leads to burnout in industry. Food habits leads to gastric problems. Musculoskeletal problems are also common in every industry...
The obesity was an important factor that affected the healthy growth of young people seriously, which aroused wide spread concern in the community. In this research, comprehensive interventions with exercise training, nutrition and psychology were applied to investigate blood pressure, blood lipid of simple obesity of young people. The blood pressure and lipid were reduced significantly by the cross-intervention...
Obesity is a worldwide epidemic, with childhood obesity currently ranking as one of the biggest health challenges facing the United States today. In this project we introduce a mobile and wearable health video game, Dancing in the Streets (DITS). DITS uses two wireless, 3-axis accelerometers as input to a social, mobile, phone-based dancing game played by groups of collocated users. DITS was evaluated...
In this paper we present data mining and its utilization for childhood obesity prediction. Data mining was widely used in many childhood obesity prediction systems. Predicting obesity at an early age is both useful and important because the number of obese patients is increasing while its main cause cannot yet be defined. The ability to predict childhood obesity will help early prevention. The purpose...
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