Prevalence and Determinants of Sarcopenic Obesity in Older Adults: Secondary Data Analysis of the Longitudinal Ageing Study in India (LASI) Wave 1 Survey (2017-18)

被引:8
|
作者
Verma, Madhur [1 ]
Kapoor, Nitin [2 ,3 ]
Chaudhary, Aditi [4 ]
Sharma, Priyanka [5 ,6 ]
Ghosh, Nilanjana [7 ]
Sidana, Shivani [8 ]
Kakkar, Rakesh [1 ]
Kalra, Sanjay [9 ]
机构
[1] All India Inst Med Sci, Dept Community & Family Med, Bathinda 151001, Punjab, India
[2] Christian Med Coll & Hosp, Dept Endocrine Diabet & Metab, Vellore 632004, Tamil Nadu, India
[3] Baker Heart & Diabet Inst, Melbourne, Vic 3004, Australia
[4] Int Inst Populat Sci IIPS, Mumbai 400088, Maharashtra, India
[5] North DMC Med Coll, Dept Community Med, Delhi 110007, India
[6] Hindu Rao Hosp, Delhi 110007, India
[7] All India Inst Med Sci Guwahati, Dept Community & Family Med, Gauhati, India
[8] All India Inst Med Sci, Dept Endocrinol, Bathinda, Punjab, India
[9] Bharti Hosp, Dept Endocrinol, Karnal, Haryana, India
关键词
Sarcopenia; Sarcopenic obesity; Elderly; LASI; Healthy aging; SKELETAL-MUSCLE MASS; X-RAY ABSORPTIOMETRY; BONE-MINERAL DENSITY; HEALTHY CHINESE MEN; NATIONAL-HEALTH; BODY-COMPOSITION; AGE; ASSOCIATION; POPULATION; OVERWEIGHT;
D O I
10.1007/s12325-022-02216-z
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
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.
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收藏
页码:4094 / 4113
页数:20
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