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Prevalence and determinants of hysterectomy in India
Increase in the prevalence of hysterectomy among low-and middle-income countries (LMICs) such as India has become a significant concern. Reports based on either a particular group or region show an increasing trend in hysterectomy, but there is a dearth of national-level data in this domain. Hence,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477345/ https://www.ncbi.nlm.nih.gov/pubmed/37666936 http://dx.doi.org/10.1038/s41598-023-41863-2 |
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author | Rout, Dejalin Sinha, Abhinav Palo, Subrata Kumar Kanungo, Srikanta Pati, Sanghamitra |
author_facet | Rout, Dejalin Sinha, Abhinav Palo, Subrata Kumar Kanungo, Srikanta Pati, Sanghamitra |
author_sort | Rout, Dejalin |
collection | PubMed |
description | Increase in the prevalence of hysterectomy among low-and middle-income countries (LMICs) such as India has become a significant concern. Reports based on either a particular group or region show an increasing trend in hysterectomy, but there is a dearth of national-level data in this domain. Hence, there seems to be an urgent need to garner evidence on the prevalence and determinants of hysterectomy, which could pave the way for future programs and policies. We aimed to estimate the prevalence of hysterectomy and assess its determinants using a nationally representative sample. An observational analysis was conducted using data from Longitudinal Aging Study in India (LASI), 2017–2018. 38,154 women aged > 18 years were included. A multivariable logistic regression, presented as an adjusted odds ratio (AOR) with a 95% confidence interval (CI), was used to predict the association between various socio-demographic characteristics and hysterectomy. A separate multivariable logistic regression model was executed to determine the association between selected non-communicable diseases (NCDs) and hysterectomy. Survey weights compensated the complex study design. The overall prevalence of hysterectomy was around 11.35%. Excessive menstrual bleeding followed by fibroids emerged as the leading causes of hysterectomy. The various determinants of hysterectomy were urban residents [AOR: 1.54 (1.21–1.96)], other backward class [AOR: 2.19 (1.72–2.78], working women [AOR: 1.19(1–1.42)] and the most affluent (rich) group [AOR: 2.06 (1.62–2.63)]. Hysterectomy was associated with cancer [AOR: 4.83 (2.51–9.29)], diabetes [AOR: 1.79 (1.25–2.57)], hypertension [AOR: 1.48 (1.27–1.71)] and joint diseases [AOR: 1.43 (1.09–1.88)]. Hysterectomy is considerably prevalent in India, which cannot be overlooked. Health promotion regarding hysterectomy and its implications is needed especially among urban residents, affluent groups and those with a higher body mass index. Health programmes aimed at women should follow a life course approach by prioritizing health and overall well-being even after reproductive years. |
format | Online Article Text |
id | pubmed-10477345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104773452023-09-06 Prevalence and determinants of hysterectomy in India Rout, Dejalin Sinha, Abhinav Palo, Subrata Kumar Kanungo, Srikanta Pati, Sanghamitra Sci Rep Article Increase in the prevalence of hysterectomy among low-and middle-income countries (LMICs) such as India has become a significant concern. Reports based on either a particular group or region show an increasing trend in hysterectomy, but there is a dearth of national-level data in this domain. Hence, there seems to be an urgent need to garner evidence on the prevalence and determinants of hysterectomy, which could pave the way for future programs and policies. We aimed to estimate the prevalence of hysterectomy and assess its determinants using a nationally representative sample. An observational analysis was conducted using data from Longitudinal Aging Study in India (LASI), 2017–2018. 38,154 women aged > 18 years were included. A multivariable logistic regression, presented as an adjusted odds ratio (AOR) with a 95% confidence interval (CI), was used to predict the association between various socio-demographic characteristics and hysterectomy. A separate multivariable logistic regression model was executed to determine the association between selected non-communicable diseases (NCDs) and hysterectomy. Survey weights compensated the complex study design. The overall prevalence of hysterectomy was around 11.35%. Excessive menstrual bleeding followed by fibroids emerged as the leading causes of hysterectomy. The various determinants of hysterectomy were urban residents [AOR: 1.54 (1.21–1.96)], other backward class [AOR: 2.19 (1.72–2.78], working women [AOR: 1.19(1–1.42)] and the most affluent (rich) group [AOR: 2.06 (1.62–2.63)]. Hysterectomy was associated with cancer [AOR: 4.83 (2.51–9.29)], diabetes [AOR: 1.79 (1.25–2.57)], hypertension [AOR: 1.48 (1.27–1.71)] and joint diseases [AOR: 1.43 (1.09–1.88)]. Hysterectomy is considerably prevalent in India, which cannot be overlooked. Health promotion regarding hysterectomy and its implications is needed especially among urban residents, affluent groups and those with a higher body mass index. Health programmes aimed at women should follow a life course approach by prioritizing health and overall well-being even after reproductive years. Nature Publishing Group UK 2023-09-04 /pmc/articles/PMC10477345/ /pubmed/37666936 http://dx.doi.org/10.1038/s41598-023-41863-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Rout, Dejalin Sinha, Abhinav Palo, Subrata Kumar Kanungo, Srikanta Pati, Sanghamitra Prevalence and determinants of hysterectomy in India |
title | Prevalence and determinants of hysterectomy in India |
title_full | Prevalence and determinants of hysterectomy in India |
title_fullStr | Prevalence and determinants of hysterectomy in India |
title_full_unstemmed | Prevalence and determinants of hysterectomy in India |
title_short | Prevalence and determinants of hysterectomy in India |
title_sort | prevalence and determinants of hysterectomy in india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477345/ https://www.ncbi.nlm.nih.gov/pubmed/37666936 http://dx.doi.org/10.1038/s41598-023-41863-2 |
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