Madhur Verma1, Nitin Kapoor2,3, Aditi Chaudhary4, Priyanka Sharma5, Nilanjana Ghosh6, Shivani Sidana7, Rakesh Kakkar1, Sanjay Kalra8. 1. Department of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, 151001, India. 2. Dept. of Endocrine, Diabetes and Metabolism, Christian Medical College, Vellore, TN, 632004, India. 3. The Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia. 4. International Institute for Population Sciences (IIPS), Mumbai, Maharashtra, 400088, India. 5. Department of Community Medicine, North DMC Medical College and Hindu Rao Hospital, Delhi, 110007, India. 6. Department of Community and Family Medicine, All India Institute of Medical Sciences Guwahati, Guwahati, India. 7. Department of Endocrinology, All India Institute of Medical Sciences, Bathinda, Punjab, India. 8. Department of Endocrinology, Bharti Hospital, Karnal, Haryana, India. brideknl@gmail.com.
Abstract
INTRODUCTION: Sarcopenic obesity (SO) represents the confluence of two epidemics-an aging population and an increasing rate of obesity. The two diseases may act synergistically, and SO may significantly affect morbidity and mortality. However, the burden is not defined to drive the policy changes. Hence the present study was done to estimate the prevalence and predictors of SO in India. METHODS: We did a secondary data analysis of the 72,250 older adults who participated in the first wave of the Longitudinal Aging Study in India (2017-18). Possible sarcopenia was defined as per the guidelines by the Asian Working Group for Sarcopenia (AWGS) criteria. The modified criterion of overweight and obesity for Asian adults was used to categorize obesity. Presence of both sarcopenia and obesity depicted SO. Weighted analysis was done to estimate the prevalence of SO, and multinomial bivariate logistics regression was used to identify the predictors of SO. RESULTS: The overall prevalence of obesity, sarcopenia, and SO was 27.1%, 41.9%, and 8.7%, respectively. The mean age, weight, body mass index (BMI), and blood pressure of adults with SO were significantly higher compared to others. Higher age, urban residence, west and south regions of India, consumption of tobacco or alcohol, no physical activity, and presence of diabetes contribute to SO. CONCLUSION: The burden of SO seems to be less but amounts to a massive number in an aging country. We stress increased screening of the geriatric age group and advocate increased physical activity and dietary modifications to realize the concept of healthy aging.
INTRODUCTION: Sarcopenic obesity (SO) represents the confluence of two epidemics-an aging population and an increasing rate of obesity. The two diseases may act synergistically, and SO may significantly affect morbidity and mortality. However, the burden is not defined to drive the policy changes. Hence the present study was done to estimate the prevalence and predictors of SO in India. METHODS: We did a secondary data analysis of the 72,250 older adults who participated in the first wave of the Longitudinal Aging Study in India (2017-18). Possible sarcopenia was defined as per the guidelines by the Asian Working Group for Sarcopenia (AWGS) criteria. The modified criterion of overweight and obesity for Asian adults was used to categorize obesity. Presence of both sarcopenia and obesity depicted SO. Weighted analysis was done to estimate the prevalence of SO, and multinomial bivariate logistics regression was used to identify the predictors of SO. RESULTS: The overall prevalence of obesity, sarcopenia, and SO was 27.1%, 41.9%, and 8.7%, respectively. The mean age, weight, body mass index (BMI), and blood pressure of adults with SO were significantly higher compared to others. Higher age, urban residence, west and south regions of India, consumption of tobacco or alcohol, no physical activity, and presence of diabetes contribute to SO. CONCLUSION: The burden of SO seems to be less but amounts to a massive number in an aging country. We stress increased screening of the geriatric age group and advocate increased physical activity and dietary modifications to realize the concept of healthy aging.
Authors: Kitty J E Kokkeler; Karen S van den Berg; Hannie C Comijs; Richard C Oude Voshaar; Radboud M Marijnissen Journal: Int J Geriatr Psychiatry Date: 2019-05-10 Impact factor: 3.485
Authors: Sari Stenholm; Tamara B Harris; Taina Rantanen; Marjolein Visser; Stephen B Kritchevsky; Luigi Ferrucci Journal: Curr Opin Clin Nutr Metab Care Date: 2008-11 Impact factor: 4.294