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An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1
BACKGROUND: The purpose of this study is to assess the status of physical body indices such as body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) among the older adults aged 45 and above in India. Further, to explore the association of anthropometric indices with various n...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268209/ https://www.ncbi.nlm.nih.gov/pubmed/34238276 http://dx.doi.org/10.1186/s12889-021-11421-4 |
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author | Bramhankar, Mahadev Pandey, Mohit Rana, Gursimran Singh Rai, Balram Mishra, Nand Lal Shukla, Anandi |
author_facet | Bramhankar, Mahadev Pandey, Mohit Rana, Gursimran Singh Rai, Balram Mishra, Nand Lal Shukla, Anandi |
author_sort | Bramhankar, Mahadev |
collection | PubMed |
description | BACKGROUND: The purpose of this study is to assess the status of physical body indices such as body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) among the older adults aged 45 and above in India. Further, to explore the association of anthropometric indices with various non-communicable morbidities. METHODS: The study uses secondary data of the Longitudinal Ageing Survey’s first wave in India (2017–18). The national representative sample for older adults 45 and above (65,662) considered for the analysis. The prevalence of the non-communicable diseases (NCDs) included in the study is based on the self-reporting of the participants. Diseases included are among the top ten causes of death, such as cancer, hypertension, stroke, chronic heart diseases, diabetes, chronic respiratory diseases, and multi-morbidity. Multi-morbidity is a case of having more than one of the morbidities mentioned above. BMI-obese indicates an individual having a BMI ≥30, and the critical threshold value for high-risk WC for men is ≥102 cm while for women is ≥88 cm. The critical limit for the high-risk WHR for men and women is ≥0.90 and ≥ 0.85, respectively. Descriptive statistics and multiple logistic regressions are used to assess the association BMI, WC, and WHR with non-communicable morbidities. RESULTS: Based on the multivariate-adjusted model, odds shows that an Indian older adult aged 45 and above is 2.3 times more likely (AOR: 2.33; 95% CI (2.2, 2.5)) by obesity, 61% more likely (AOR: 1.61; 95% CI (1.629, 1.631)) by high-risk WHR and 98% more likely (AOR: 1.98; 95% CI (1.9, 2.1)) by high-risk WC to develop CVDs than their normal counterparts. Similarly, significant positive associations of obesity, high-risk WC, and high-risk WHR were observed with other NCDs and multi-morbidity. CONCLUSION: Our study shows that obesity, high-risk WC, and high-risk WHR are significant risks for developing NCDs and multi-morbidity among the older adults in India. There is a need for a multi-sectoral approach to reduce the share of the elderly population in high-risk groups of BMIs, WHR, and WC. |
format | Online Article Text |
id | pubmed-8268209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82682092021-07-09 An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1 Bramhankar, Mahadev Pandey, Mohit Rana, Gursimran Singh Rai, Balram Mishra, Nand Lal Shukla, Anandi BMC Public Health Research BACKGROUND: The purpose of this study is to assess the status of physical body indices such as body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) among the older adults aged 45 and above in India. Further, to explore the association of anthropometric indices with various non-communicable morbidities. METHODS: The study uses secondary data of the Longitudinal Ageing Survey’s first wave in India (2017–18). The national representative sample for older adults 45 and above (65,662) considered for the analysis. The prevalence of the non-communicable diseases (NCDs) included in the study is based on the self-reporting of the participants. Diseases included are among the top ten causes of death, such as cancer, hypertension, stroke, chronic heart diseases, diabetes, chronic respiratory diseases, and multi-morbidity. Multi-morbidity is a case of having more than one of the morbidities mentioned above. BMI-obese indicates an individual having a BMI ≥30, and the critical threshold value for high-risk WC for men is ≥102 cm while for women is ≥88 cm. The critical limit for the high-risk WHR for men and women is ≥0.90 and ≥ 0.85, respectively. Descriptive statistics and multiple logistic regressions are used to assess the association BMI, WC, and WHR with non-communicable morbidities. RESULTS: Based on the multivariate-adjusted model, odds shows that an Indian older adult aged 45 and above is 2.3 times more likely (AOR: 2.33; 95% CI (2.2, 2.5)) by obesity, 61% more likely (AOR: 1.61; 95% CI (1.629, 1.631)) by high-risk WHR and 98% more likely (AOR: 1.98; 95% CI (1.9, 2.1)) by high-risk WC to develop CVDs than their normal counterparts. Similarly, significant positive associations of obesity, high-risk WC, and high-risk WHR were observed with other NCDs and multi-morbidity. CONCLUSION: Our study shows that obesity, high-risk WC, and high-risk WHR are significant risks for developing NCDs and multi-morbidity among the older adults in India. There is a need for a multi-sectoral approach to reduce the share of the elderly population in high-risk groups of BMIs, WHR, and WC. BioMed Central 2021-07-09 /pmc/articles/PMC8268209/ /pubmed/34238276 http://dx.doi.org/10.1186/s12889-021-11421-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Bramhankar, Mahadev Pandey, Mohit Rana, Gursimran Singh Rai, Balram Mishra, Nand Lal Shukla, Anandi An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1 |
title | An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1 |
title_full | An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1 |
title_fullStr | An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1 |
title_full_unstemmed | An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1 |
title_short | An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1 |
title_sort | assessment of anthropometric indices and its association with ncds among the older adults of india: evidence from lasi wave-1 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268209/ https://www.ncbi.nlm.nih.gov/pubmed/34238276 http://dx.doi.org/10.1186/s12889-021-11421-4 |
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