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12 resultados
A cross-sectional study of prevalence of overweight and obesity among bus drivers and conductors of North-West Karnataka Road Transport Corporation (NWKRTC) in Belgaum Division, Belgaum.
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Obesity has become a major chronic disorder affecting a large population more than any other disease in the world. To study the prevalence of overweight and obesity among bus drivers and conductors of North-West Karnataka Road Transport Corporation (NWKRTC) in Belgaum, and to compare the prevalence
Knowledge, attitudes, and practices of public sector primary health care physicians of rural north karnataka towards obesity management.
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BACKGROUND
Obesity is a risk factor for cardiovascular disease (CVD), diabetes mellitus (DM), and hypertension (HTN). In an era of rapidly growing prevalence of obesity, it is important to explore the current knowledge, attitude, and practices of primary care physicians.
METHODS
Study participants
A cross-sectional analysis of obesity among a rural population in coastal Southern Karnataka, India.
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BACKGROUND
Obesity is a disease condition that is highly prevalent in both developed and developing countries. Obesity accounts for 60% of cases of diabetes, 40% cases of hypertension and 20% of coronary heart disease and stroke. Although obesity is a silent killer in the third world countries,
Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India.
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BACKGROUND
Increased incidences of cardiovascular disorder and metabolic syndrome particularly after menopause have raised curiosity for the underlying factors. However, it is still a debate whether age or menopausal transition is a greater contributor.
OBJECTIVE
To elucidate the inter-relationships
Childhood Obesity and Its Associated Factors among School Children in Udupi, Karnataka, India.
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Women of higher socio-economic status are more likely to be overweight in Karnataka, India.
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This study explores differences in body mass index (BMI), diet, and lifestyle between women of varying socio-economic status in Karnataka, India, using data from the National Family Health Survey 2 (n = 4374), in-depth interviews (n = 20) and six focus group discussions (n = 40) completed in
Prevalence and determinants of overweight and obesity among adolescent school children of South karnataka, India.
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Biological risk factors for coronary artery disease among adults residing in rural area of North Karnataka, India.
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A Cross-sectional Study of the Pattern of Body Image Perception among Female Students of BBM College in Vijayapur, North Karnataka.
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BACKGROUND
Body image is an essential aspect of young girls' self-definition and individual identity which is influenced by various biological, psychological and social factors. Excessive concern about body image, body image misconception are leading to dissatisfaction, disturbed eating patterns,
Anthropometry and Prevalence of Common Health Problems among School Going Children in Surathkal, Karnataka.
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OBJECTIVE
To measure the anthropometric data of school children and to compare with the CDC and Agarwal centile Growth charts. The prevalence of thinness, stunting, overweight and obesity were estimated. Children were also screened for hypertension, refractory errors, dental problems, skin disease
High blood pressure prevalence and significant correlates: a quantitative analysis from coastal karnataka, India.
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Hypertension is a premier risk factor for cardiovascular disease which can be recognized if sought and treated effectively. Effective management of high blood pressure is possible when the magnitude of the problem is identified. So, a cross-sectional community based survey among 1,239 respondents
World health organization-body mass index for age criteria as a tool for prediction of childhood and adolescent morbidity: a novel approach in southern karnataka, India.
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BACKGROUND
Health status of children and adolescents is determined to a larger extent by their nutritional status. There are no published studies available on the influence of thinness on childhood morbidity using new World Health Organization-body mass index (WHO-BMI) for age criteria.
METHODS
This
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