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Good nutrition is an essential component of life. Undernutrition is the root cause of death of over 3.5 million children under the age of five in India. To address this issue of malnutrition, though overarching national policy is desirable, it may not be effective if the root cause of malnutrition varies across regions of the country. In this context, the attempt made in this paper is two-fold. First,...
Obesity phenomenon has become a significant issue over the world. Obesity has various negative consequences that might impact not only the health but also the social and the economic issues. Current studies reveal the lack of patients' commitment to the doctors' instructions. In this paper, we propose a new cloud-based model with ultimate aim to monitor obese patients' health condition and behavior...
This work introduces a novel Behavioral Informatics Reporting Framework (BIIRF) which has been developed in the effort to review, study and compare the increasing number of Behavioral Informatics (BI) interventions for Connected Health (CH). The framework was developed through an iterative design cycle and it comprises of (i) a short-list of BI Intervention Eligibility Criteria for candidate interventions,...
We studied hemodynamics characteristics at the heart level for a lot of 15 obese patients. We investigated echocardiographic and multigated radionuclide parameters correlating with the body mass index (BMI) or left ventricular ejection fraction (LVEF). Furthermore, the linear relationship obtained by plotting end-systolic volume (ESV) against end-diastolic volume (EDV) can be more useful than the...
Obstructive sleep apnea syndrome (OSA), a highly prevalent disease, has been linked in recent years to cardiometabolic conditions. The aim of this study was to analyze the prediction of arterial hypertension in patients with obstructive sleep apnea. We examined the records of 151 patients referred to our Sleep Laboratory Center for nocturnal cardiorespiratory polygraphy in 2011. 99 patients (65.56%)...
The goal of the study is to evaluate the predictive role of body weight in the emergence and management of chronic low back pain (CLBP). The relationship between obesity-low back pain (LBP) and the phenomenon of degeneration of the lumbar disc (LDD) is not well known. Several factors such as family history, genetics and the environment can all contribute to LBP. Giving the high incidence of obesity...
Fatness is a serious health problem worldwide because of the danger factors associated with diseases which cause permanent psychological effect. To classify normal weight, overweight, underweight and obesity, body mass index (BMI) is the most recognized and extensively used measurement. BMI measurement has its limits in some cases like overstatements in athletes, and underestimates in elderly. Thus,...
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 increasing globally. Obesity brings with it many chronic conditions. There has been increasing research in the use of ICT interventions to combat obesity using food logging and image calorie analysis. These interventions allow users to document their calorie intake to help promote healthy living. However using food logs may lead to inaccurate readings as the user may incorrectly calculate...
Obesity is one of the leading health concerns in the United States. Researchers and health care providers are interested in understanding factors affecting obesity and detecting the likelihood of obesity as early as possible. In this paper, we set out to recognize children who have higher risk of obesity by identifying distinct growth patterns in them. This is done by using clustering methods, which...
The present study examines the effects of obesity on left ventricular (LV) biomechanics in obese women. Thirty-two women were evaluated: 12 were non-obese (body mass index BMI < 30 kg/m2) and 20 were obese (BMI > 30 kg/m2); ten of which were hypertensive and ten were non-hypertensive. Left ventricular dimensions and systolic and diastolic functions were assessed by 2D echocardiography and tissue...
A breast cancer risk assessment based on fuzzy set theory and fuzzy logic is proposed in this paper. The proposed fuzzy breast cancer system maps two controlled and two non-controlled input variables into the risk of breast cancer occurrence. Such an approach covers the age, menopause, simplified fuzzy body mass index (FBMI), and the existence of hormone replacement as input linguistic variable. The...
A fuzzy medical diagnostic decision system for helping support to evaluate patients with anginal chest pain and obesity clinical condition is proposed in this paper. Such an approach is based on the Braunwald symptomatic classification, the fuzzy set theory and fuzzy logic, and a risk obesity factor determined by a simplified Fuzzy Body Mass Index (FBMI). The fuzzy Braunwald symptomatic classification...
We tested the hypothesis that maternal body mass index (BMI) determines fetal cardiac sympathetic activity. Heart rate variability (HRV) parameters of fetal are measured for obese & non-obese mother prior to delivery with Doppler ultrasound method. We studied 64 maternal abdominal Doppler ultrasound signals. From these, we identify 41 subjects of whose body mass index (BMI) ranging from 20 to...
Obesity is a major health problem worldwide, with important economic and social effects. Obesity affects cardiovascular and respiratory systems directly. In this paper, after presenting a noninvasive indicator of contractility, based on the clinical echocardiografic measurements, a computer model (implemented in Simulink) based on the simplified circuit of the cardiovascular model is used, taking...
Excessive body weight, especially in the form of the so-called abdominal obesity (AO) is an important factor of the cardio-metabolic risks (CMR). The paper presents a fuzzy model of AO and CMR assessments based on such key indicators of anthropometric measurements as body mass index (BMI as a measure of the global adiposity) as well as waist circumference (WC) and waist-to-height ratio (WHtR) as AO...
The body mass index (BMI) is nowadays the most used tool to evaluate obesity, involving only two anthropometric measures easy to obtain, the weight and the height (BMI=weight/height^2). The BMI is valuable because it evaluates obesity, classifying people into `underweight', `normal weight', and `overweight' classes. The value of the BMI means that through a classification of the weight condition,...
In this paper, we propose a theoretical framework (conceptualization and formalization) which seeks to model obesity as a process of transformation of one's own body determined by individual (physical and psychological), inter-individual (relational, i.e., relative to the relationship between the individual and others) and socio-cultural (environmental, i.e., relative to the relationship between the...
This study is based on the tests of the fitness and health of Year 2007 college girls in Jinggangshan University, located in the center of Jiangxi Province. The tests were performed in 2007 and 2010 twice. The result shows that the BMI and strength (grip strength) for the girl students has improved significantly (P<0.01), while the athletic performance (standing long jump) and the cardiopulmonary...
This paper analysis lifestyle, shopping, consuming attitudes and personality of special consumer groups of obese population, based on psychological analysis, in order to frame lifestyles of the different consumers, allowing companies to have a deeper understanding of their preferences while selecting the target market and choosing their brand, for the purpose of following the future dynamic market...
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