Cargando…

Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages

BACKGROUND: Hypertension is associated with higher morbidity and mortality burden, and is reported to pose severe repercussions on those above the age of 60 years. Despite the growing concern, empirical evidence providing nationally representative estimates of hypertension care cascades for the elde...

Descripción completa

Detalles Bibliográficos
Autores principales: Kothavale, Ajinkya, Puri, Parul, Sangani, Purvi G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815207/
https://www.ncbi.nlm.nih.gov/pubmed/35114935
http://dx.doi.org/10.1186/s12877-022-02760-x
_version_ 1784645235526074368
author Kothavale, Ajinkya
Puri, Parul
Sangani, Purvi G.
author_facet Kothavale, Ajinkya
Puri, Parul
Sangani, Purvi G.
author_sort Kothavale, Ajinkya
collection PubMed
description BACKGROUND: Hypertension is associated with higher morbidity and mortality burden, and is reported to pose severe repercussions on those above the age of 60 years. Despite the growing concern, empirical evidence providing nationally representative estimates of hypertension care cascades for the elderly population are inadequate in India. Therefore, the present study aims to quantify the magnitude of hypertension care cascades, identify the co-morbidities attributed to hypertension and recognize lifestyle modifications to reduce the instances of uncontrolled blood pressure among the elderly population in India. METHOD: This study employed data on 28,109 elderly individuals from the Longitudinal Ageing Study in India, 2017-18. Descriptive and multivariable analyses were performed to identify the burden and correlates of hypertension and uncontrolled blood pressure levels. Population Attributable Risk was computed to identify deteriorating health implications and recognize viable solutions to improve the situation. RESULTS: The findings suggest that elderly experiences loss at all stages of hypertension care, namely, at the level of measured hypertension (72.5%), diagnosis/awareness (57.3%), treatment (50.5%), and control (27.5%). The highest dip was observed at the level of blood pressure control. The findings hint towards the linkages between socio-economic, demographic, and lifestyle factors with hypertension and uncontrolled blood pressure levels. Caste, religion, living arrangement, MPCE quintile, residence, family history of hypertension, working status, and alcohol consumption were the significant predictors of uncontrolled hypertension. The findings quantified the proportion of diseased cases attributed to hypertension, and highlighted essential contributors of overall and uncontrolled hypertension. CONCLUSIONS: There is an urgent need to improve access to cost-effective anti-hypertensive prescriptions to curtail the increasing burden of uncontrolled blood pressure and some other co-morbid diseases. Thus, if apprehended cautiously, findings from this study can serve to design practical approaches aimed at control, prevention, and management of hypertension among the elderly population of India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02760-x.
format Online
Article
Text
id pubmed-8815207
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-88152072022-02-07 Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages Kothavale, Ajinkya Puri, Parul Sangani, Purvi G. BMC Geriatr Research BACKGROUND: Hypertension is associated with higher morbidity and mortality burden, and is reported to pose severe repercussions on those above the age of 60 years. Despite the growing concern, empirical evidence providing nationally representative estimates of hypertension care cascades for the elderly population are inadequate in India. Therefore, the present study aims to quantify the magnitude of hypertension care cascades, identify the co-morbidities attributed to hypertension and recognize lifestyle modifications to reduce the instances of uncontrolled blood pressure among the elderly population in India. METHOD: This study employed data on 28,109 elderly individuals from the Longitudinal Ageing Study in India, 2017-18. Descriptive and multivariable analyses were performed to identify the burden and correlates of hypertension and uncontrolled blood pressure levels. Population Attributable Risk was computed to identify deteriorating health implications and recognize viable solutions to improve the situation. RESULTS: The findings suggest that elderly experiences loss at all stages of hypertension care, namely, at the level of measured hypertension (72.5%), diagnosis/awareness (57.3%), treatment (50.5%), and control (27.5%). The highest dip was observed at the level of blood pressure control. The findings hint towards the linkages between socio-economic, demographic, and lifestyle factors with hypertension and uncontrolled blood pressure levels. Caste, religion, living arrangement, MPCE quintile, residence, family history of hypertension, working status, and alcohol consumption were the significant predictors of uncontrolled hypertension. The findings quantified the proportion of diseased cases attributed to hypertension, and highlighted essential contributors of overall and uncontrolled hypertension. CONCLUSIONS: There is an urgent need to improve access to cost-effective anti-hypertensive prescriptions to curtail the increasing burden of uncontrolled blood pressure and some other co-morbid diseases. Thus, if apprehended cautiously, findings from this study can serve to design practical approaches aimed at control, prevention, and management of hypertension among the elderly population of India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02760-x. BioMed Central 2022-02-04 /pmc/articles/PMC8815207/ /pubmed/35114935 http://dx.doi.org/10.1186/s12877-022-02760-x Text en © The Author(s) 2022 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
Kothavale, Ajinkya
Puri, Parul
Sangani, Purvi G.
Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages
title Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages
title_full Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages
title_fullStr Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages
title_full_unstemmed Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages
title_short Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages
title_sort quantifying population level hypertension care cascades in india: a cross-sectional analysis of risk factors and disease linkages
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815207/
https://www.ncbi.nlm.nih.gov/pubmed/35114935
http://dx.doi.org/10.1186/s12877-022-02760-x
work_keys_str_mv AT kothavaleajinkya quantifyingpopulationlevelhypertensioncarecascadesinindiaacrosssectionalanalysisofriskfactorsanddiseaselinkages
AT puriparul quantifyingpopulationlevelhypertensioncarecascadesinindiaacrosssectionalanalysisofriskfactorsanddiseaselinkages
AT sanganipurvig quantifyingpopulationlevelhypertensioncarecascadesinindiaacrosssectionalanalysisofriskfactorsanddiseaselinkages