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Temporal change in prevalence of BMI categories in India: patterns across States and Union territories of India, 1999-2021.
Sung, Meekang; Kumar, Akhil; Mishra, Raman; Kulkarni, Bharati; Kim, Rockli; Subramanian, S V.
Afiliação
  • Sung M; Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Kumar A; Faculty of Arts and Sciences, University of Toronto, Toronto, ON, Canada.
  • Mishra R; Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.
  • Kulkarni B; Division of Reproductive & Child Health & Nutrition, Indian Council of Medical Research, V. Ramalingaswami Bhawan, Ansari Nagar, New Delhi, India.
  • Kim R; Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.
  • Subramanian SV; Division of Health Policy and Management, College of Health Science, Korea University, Seoul, Republic of Korea.
BMC Public Health ; 24(1): 1322, 2024 May 16.
Article em En | MEDLINE | ID: mdl-38755591
ABSTRACT

BACKGROUND:

The problem of overweight/obesity often coexists with the burden of undernutrition in most low- and middle-income countries. BMI change in India incorporating the most recent trends has been under-researched.

METHODS:

This repeated cross-sectional study of 1,477,885 adults in India analyzed the prevalence of different categories of BMI among adults (age 20-54) in 4 rounds of National Family Health Surveys (1998-1999, 2005-2006, 2015-2016, and 2019-2021) for 36 states/UTs. State differences across time were harmonized for accurate analysis. The categories were Severely/Moderately Thin (BMI < 17.0), Mildly Thin (17.0-18.4), Normal (18.5-24.9), Overweight (25.0-29.9), and Obese (≥ 30.0). We also estimated change in Standardized Absolute Change (SAC), ranking of states, and headcount burden to quantify the trend of BMI distribution across time periods for all-India, urban/rural residence, and by states/UTs.

RESULTS:

The prevalence of thinness declined from 31.7% in 1999 to 14.2% in 2021 for women, and from 23.4% in 2006 to 10.0% in 2021 for men. Obesity prevalence increased from 2.9% (1999) to 6.3% (2021) for women, and from 2.0% (2006) to 4.2% (2021) for men. In 2021, the states with the highest obesity prevalence were Puducherry, Chandigarh, and Delhi. These states also had a high prevalence of overweight. Dadra and Nagar Haveli and Diu, Gujarat, Jharkhand, and Bihar had the highest prevalence of severe/moderately thin. Prevalence of extreme categories (severely/moderately thin and obese) was larger in the case of women than men. While States/UTs with a higher prevalence of thin populations tend to have a larger absolute burden of severe or moderate thinness, the relationship between headcount burden and prevalence for overweight and obese is unclear.

CONCLUSIONS:

We found persistent interstate inequalities of undernutrition. Tailored efforts at state levels are required to further strengthen existing policies and develop new interventions to target both forms of malnutrition.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Sobrepeso / Obesidade Limite: Adult / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Sobrepeso / Obesidade Limite: Adult / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article