IJPHRD_JOURNAL_06-05-2013- Diurnal variation of Pulmonary function test.pdf (2024)

Obesity scenario in North Eastern states of India

Chapter 8 Overweight and obesity (high body mass index)

2010

It is widely acknowledged that being overweight is associated with an amplified risk of disease, particularly if body fat is deposited within the abdomen, as suggested by a high waist-circumference measurement. This chapter aims to estimate the burden of disease attributable to overweight and obesity as indicated by a high body mass index (BMI), by age, sex and subregion. 1 BMI, which is calculated as weight (kg) divided by height squared (m 2), was chosen as a simple measurement of body weight in relation to height. While increases in both body fat and lean tissue cause increments in BMI, relationships between body weight and health are conventionally expressed in terms of BMI rather than body fat. Data on population weight and height, often collected as part of general medical or economic surveys, were obtained, typically from specially-commissioned analyses from ministries of health. Where these data sets or published representative information were lacking, earlier data publishe...

A cross-sectional study on prevalence of obesity in adults of rural area (hajin block) of Kashmir valley with reference to their demographic profile

International Journal of Advanced Community Medicine

Overweight and Obesity

Nutrition and Health in a Developing World, 2017

Prevalence of obesity, physical inactivity and undernutrition, a triple burden of diseases during transition in a developing economy

Acta Cardiologica, 2007

Descriptive epidemiology of body mass index of an urban adult population in western India

Journal of Epidemiology and Community Health, 2002

Distribution and determinants of body mass index of non-smoking adults in Delhi, India

Journal of health, population, and …, 2007

Prevalence, Trends and Associated Socio-Economic Factors of Obesity in South Asia

Obesity Facts, 2013

Prevalence of Obesity in Rural and Urban Areas of Puducherry and Comparison of Its Correlates and Comorbidities among Obese and Non- Obese Individuals

Background: Obesity is a cluster of non-communicable diseases called " New World Syndrome " and is one of the most neglected public health problems. Obesity is the risk factors for type 2 diabetes, hypertension, cardiovascular diseases, cancers and many more diseases. Aims: To document the prevalence of obesity among adults in Rural and Urban areas of Puducherry and to compare the prevalence of Diabetes and Hypertension among obese & non-obese individuals. Methods and Materials: A community based cross-sectional study was conducted in the rural and urban areas of Puducherry among 20-60 years age group by simple random sampling technique and 237 individuals were selected from each group. Information regarding socio-demographic characteristics, dietary habits, and height, weight, and blood pressure and blood sugar values were recorded. The data were analyzed and the prevalence was expressed in percentage. Chi-square and unadjusted odds ratios were also used. Results: The overall prevalence of obesity was 20.46%. The prevalence of obesity among urban area (29.53%) was significantly higher than the rural area (11.39%)(P< 0.001).The prevalence of obesity was statistically significant with family history of obesity, high intake of junk food(p< 0.001). About 55.67% and 69.1% were diabetic and hypertensive and their prevalence were significantly higher among obese individuals (p<0.001). Conclusion: The prevalence of obesity were found to be high and hence it can be prevented by changing the lifestyle modification and routine screening of all obese individuals is important for early identification of various comorbidities so that many complications can be prevented.

Development of obesity over four decades among North Indian females

The aim of the present study was to analyze temporal trends in general obesity and regional obesity from 1978 to 2010 according to various obesity markers. Data was obtained from four cross-sectional studies of diverse ethnic and geographic milieus conducted independently. Data was analyzed to derive mean and standard deviation of the subjects in two age group 18-19 years and 20-45 years for various obesity markers like body mass index (BMI), grand mean thickness (GMT), waist-hip ratio (WHR) and waist height ratio (WHtR). Student t-test was used to reveal the significance of the change in various parameters over time. From 1978 to 2010, BMI increased significantly among the North Indian females and, indeed, at an alarming magnitude in both age groups in the latest population. This trend was similar for almost all obesity markers regardless of age. The drop across these trend lines over time can be attributed to subtle differences in socioeconomic status, ethnic disparities, rural-ur...