Madhur Verma1, Milan Das2, Priyanka Sharma3, Nitin Kapoor4, Sanjay Kalra5. 1. Department of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, India. Electronic address: drmadhurverma@gmail.com. 2. International Institute for Population Sciences, Mumbai, India. Electronic address: milandas068@gmail.com. 3. Department of Community Medicine, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India. Electronic address: sharma.priyankay@gmail.com. 4. Dept. of Endocrine, Diabetes and Metabolism, Christian Medical College, Vellore, TN, 632004, India. Electronic address: nitin.endocrine@gmail.com. 5. Department of Endocrinology, Bharti Hospital, Karnal, Haryana, India. Electronic address: brideknl@gmail.com.
Abstract
AIMS: National Family Health Survey (NFHS) conducted in India provide nationally comparable data on socio-demographic characteristics and anthropometric estimates. Present study was conducted to examine the prevalence of Indian adults who are living with overweight/obesity, their correlates, and trends observed between the last two rounds of the NFHS 2005-06 to 2015-16). METHODS: Socio-demographic characteristics and anthropometric estimates of respondents from NFHS round III & IV were analysed. Asian cut-offs were used for obesity classification. Of the total 198,754 and 811,808 eligible respondents, adults ≥18 years of age were included in the analysis. Prevalence and correlates were presented after taking into account stratification, clustering and sampling weights. GIS mapping was done to depict regional variations. RESULTS: Prevalence of men and women living with overweight/obesity were observed to be 38.4% and 36.2% respectively. Wide variations were observed in prevalence across the regions of India. Results of multivariate analysis showed that the strongest predictors for being overweight or obese were older age, currently in union, higher education, richest wealth quintile, and living in urban areas. CONCLUSION: The present study highlights the rising prevalence across the urban and rural locations and has implications for policy change based on the prevalence estimates.
AIMS: National Family Health Survey (NFHS) conducted in India provide nationally comparable data on socio-demographic characteristics and anthropometric estimates. Present study was conducted to examine the prevalence of Indian adults who are living with overweight/obesity, their correlates, and trends observed between the last two rounds of the NFHS 2005-06 to 2015-16). METHODS: Socio-demographic characteristics and anthropometric estimates of respondents from NFHS round III & IV were analysed. Asian cut-offs were used for obesity classification. Of the total 198,754 and 811,808 eligible respondents, adults ≥18 years of age were included in the analysis. Prevalence and correlates were presented after taking into account stratification, clustering and sampling weights. GIS mapping was done to depict regional variations. RESULTS: Prevalence of men and women living with overweight/obesity were observed to be 38.4% and 36.2% respectively. Wide variations were observed in prevalence across the regions of India. Results of multivariate analysis showed that the strongest predictors for being overweight or obese were older age, currently in union, higher education, richest wealth quintile, and living in urban areas. CONCLUSION: The present study highlights the rising prevalence across the urban and rural locations and has implications for policy change based on the prevalence estimates.
Authors: Antresa Jose; Kripa Elizabeth Cherian; Munaf Babajan Nandyal; Stephen A Jiwanmall; Dheeraj Kattula; Thomas V Paul; Nitin Kapoor Journal: Med Sci (Basel) Date: 2021-11-09
Authors: Stephen A Jiwanmall; Dheeraj Kattula; Munaf B Nandyal; Sandhiya Parvathareddy; Richard Kirubakaran; Felix Jebasingh; Thomas V Paul; Nihal Thomas; Nitin Kapoor Journal: Cureus Date: 2022-07-14
Authors: Nitin Kapoor; Sanjay Kalra; Peter P Toth; Manfredi Rizzo; Wael Al Mahmeed; Khalid Al-Rasadi; Kamila Al-Alawi; Maciej Banach; Yajnavalka Banerjee; Antonio Ceriello; Mustafa Cesur; Francesco Cosentino; Alberto Firenze; Massimo Galia; Su-Yen Goh; Andrej Janez; Peter Kempler; Nader Lessan; Paulo Lotufo; Nikolaos Papanas; Ali A Rizvi; Amirhossein Sahebkar; Raul D Santos; Anca Pantea Stoian; Vijay Viswanathan Journal: Diabetes Ther Date: 2022-08-27 Impact factor: 3.595