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Health related quality of life among rural elderly using WHOQOL-BREF in the most backward district of India

BACKGROUND: In India, the population of above 60 years was approximately 8.2% in 2011, which is expected to rise to 11.6% by 2026. Due to epidemiological transition of diseases, morbidity of chronic nature will increase with increase of elderly population and it will affect the elderly quality of li...

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Autores principales: Singh, Abhishek, Palaniyandi, Subramani, Palaniyandi, Anitha, Gupta, Vikas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051724/
https://www.ncbi.nlm.nih.gov/pubmed/35495836
http://dx.doi.org/10.4103/jfmpc.jfmpc_1073_21
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author Singh, Abhishek
Palaniyandi, Subramani
Palaniyandi, Anitha
Gupta, Vikas
author_facet Singh, Abhishek
Palaniyandi, Subramani
Palaniyandi, Anitha
Gupta, Vikas
author_sort Singh, Abhishek
collection PubMed
description BACKGROUND: In India, the population of above 60 years was approximately 8.2% in 2011, which is expected to rise to 11.6% by 2026. Due to epidemiological transition of diseases, morbidity of chronic nature will increase with increase of elderly population and it will affect the elderly quality of life (QOL). AIM: This study made an attempt to capture health-related quality of life HRQOL and its correlates among elderly subjects in most backward district of India. METHODS: This cross-sectional study was conducted in Nagina for a duration of 4 months and included 430 elderly (60 years or above) dwelling in the same place for more than 1 year as participants. The information on sociodemographic details, WHOQOL-BREF scale details and history of chronic diseases or disorders was collected by multipurpose health workers female using a pretested, predesigned, standardized questionnaire. An association between variables and poor quality of life was significant if the P value was less than 0.05. RESULTS: Nearly half of study participants were living in joint families (45.3%) and 67.7% of elderly gave history of chronic morbidity. There were nearly half of participants (48.8%) with poor QoL in physical health domain. Multiple linear regression analysis revealed that older age, male, no schooling, without spouse, lower economic status and chronic disorder were independently associated with low QOL score. CONCLUSION: The study reported that nearly half of the elderly (46.7%) had poor health QoL. The family physicians shall provide preventive and promotive measures to reduce the chronic morbidity among elderly to improve QOL.
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spelling pubmed-90517242022-04-30 Health related quality of life among rural elderly using WHOQOL-BREF in the most backward district of India Singh, Abhishek Palaniyandi, Subramani Palaniyandi, Anitha Gupta, Vikas J Family Med Prim Care Original Article BACKGROUND: In India, the population of above 60 years was approximately 8.2% in 2011, which is expected to rise to 11.6% by 2026. Due to epidemiological transition of diseases, morbidity of chronic nature will increase with increase of elderly population and it will affect the elderly quality of life (QOL). AIM: This study made an attempt to capture health-related quality of life HRQOL and its correlates among elderly subjects in most backward district of India. METHODS: This cross-sectional study was conducted in Nagina for a duration of 4 months and included 430 elderly (60 years or above) dwelling in the same place for more than 1 year as participants. The information on sociodemographic details, WHOQOL-BREF scale details and history of chronic diseases or disorders was collected by multipurpose health workers female using a pretested, predesigned, standardized questionnaire. An association between variables and poor quality of life was significant if the P value was less than 0.05. RESULTS: Nearly half of study participants were living in joint families (45.3%) and 67.7% of elderly gave history of chronic morbidity. There were nearly half of participants (48.8%) with poor QoL in physical health domain. Multiple linear regression analysis revealed that older age, male, no schooling, without spouse, lower economic status and chronic disorder were independently associated with low QOL score. CONCLUSION: The study reported that nearly half of the elderly (46.7%) had poor health QoL. The family physicians shall provide preventive and promotive measures to reduce the chronic morbidity among elderly to improve QOL. Wolters Kluwer - Medknow 2022-03 2022-03-10 /pmc/articles/PMC9051724/ /pubmed/35495836 http://dx.doi.org/10.4103/jfmpc.jfmpc_1073_21 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Singh, Abhishek
Palaniyandi, Subramani
Palaniyandi, Anitha
Gupta, Vikas
Health related quality of life among rural elderly using WHOQOL-BREF in the most backward district of India
title Health related quality of life among rural elderly using WHOQOL-BREF in the most backward district of India
title_full Health related quality of life among rural elderly using WHOQOL-BREF in the most backward district of India
title_fullStr Health related quality of life among rural elderly using WHOQOL-BREF in the most backward district of India
title_full_unstemmed Health related quality of life among rural elderly using WHOQOL-BREF in the most backward district of India
title_short Health related quality of life among rural elderly using WHOQOL-BREF in the most backward district of India
title_sort health related quality of life among rural elderly using whoqol-bref in the most backward district of india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051724/
https://www.ncbi.nlm.nih.gov/pubmed/35495836
http://dx.doi.org/10.4103/jfmpc.jfmpc_1073_21
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