Prevalence and determinants of overweight and obesity among elderly population in an urban area of Puducherry

Abstract

million people who are obese. [3] According to a report of the World Health Organization, 2.8 million adults die each year as a result of being overweight or obese. In addition, 44% of the diabetes, 23% of the ischemic heart disease, and 7-41% of certain cancers are attributable to overweight and obesity. [3] In the twenty-first century, obesity has reached epidemic proportions in India, with morbid obesity affecting 5% of the country's population. [4] India is following a trend of other developing countries that are steadily becoming more obese. According to National Family Health Survey (NFHS-3), the overall prevalence of overweight/obesity in India was 12.1% in men and 16% in women. There was a large difference in the prevalence of overweight or obese across various states. Punjab had the highest prevalence (men, 30.3%; women, 37.5%), and Tripura had the lowest prevalence (men 5.2%; women, 5.3%). [5] Aging is a normal, biological, and universal phenomenon that refers to various effects and manifestation of old age. It is described in terms of biological, psychological, and social aspects. [6] In recent decades, as life expectancy increases, the world's older population is growing in an accelerated phase. The elderly population in India increased from 20 million in 1951 to 57 million in 1991 and is expected to be 198 million in 2030 and 326 million in 2050. [7] Elderly populations are a subset of vulnerable population as they face various challenges; health issues emerge Background: Obesity has reached epidemic proportions in India, with morbid obesity affecting 5% of the country's population. Objectives: To measure the prevalence and determinants of overweight and obesity among elderly people in our urban field practice area of Puducherry, India.

Potential of mid-upper arm circumference to replace body mass index as a screening tool for assessment of nutritional status: A study among a rural elderly population in eastern India

“…Kappa statistic was calculated for different MUAC cutoff and respected BMI cutoffs. [17][18][19][20] [9,10,21] After a fully comprehensive literature search, we believed that the present study is the first to examine if MUAC can be a useful, alternative, and practical screening and predictive The present study revealed AUCs for MUAC for different BMI values ranged from 0.79 to 0.91. All these findings clearly state that MUAC can be a simpler alternative to BMI for screening the elderly for overweight or obesity.…”

“…Central obesity in elderly population of India is a major health problem which is supported by the studies done by Rajkamal et al in South India and by Swami et al in Chandigarh where they have found 41.4% and 33% obese elderly population. [9,10] Nutritional assessment in low-resource settings like rural areas in our country often relies on non-invasive, simple, and affordable anthropometric methods. Anthropometric methods have been used to describe nutritional status and rapidly identify at-risk groups for appropriate interventions.…”

The impact of maternal obesity on intra-partum events during pregnancy: a retrospective study at Puducherry

“…7 Another study done in rural areas of Puducherry showed that 27.7% of the women participants had a BMI>25.…”

“…[3][4][5][6] A study done in urban area of Puducherry showed the prevalence of overweight was 41.4% and of obesity was 4.5%. 7 Another study done in rural areas of Puducherry showed that 27.7% of the women participants had a BMI>25. 8 This shows that there is an anticipated increased risk of obesity inflicted maternal adverse outcomes among women in Puducherry.…”

“…7 Another study done in rural areas of Puducherry showed that 27.7% of the women participants had a BMI>25.8 This shows that there is an anticipated increased risk of obesity inflicted maternal adverse outcomes among women in Puducherry. A healthy dietary plan and physical activity schedule prior to conception can be a useful pre-requisite for women who are obese to save themselves from adverse obesity-related complications during pregnancy.…”