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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,...

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Autores principales: Rout, Dejalin, Sinha, Abhinav, Palo, Subrata Kumar, Kanungo, Srikanta, Pati, Sanghamitra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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