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Self Reported Health Status and its Determinants among Elderly Widows in Puducherry, India

BACKGROUND: Aging of population is a worldwide phenomenon of the 21(st) century, which leads to many socioeconomic consequences including their health status. Hence, this study tries to assess the self-reported health status (SRHS) of elderly widows (60+ years) and its principal determinants. MATERI...

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Autores principales: Narayanasamy, Nirmala Saravanan, Das, Arindam, Narayanasamy, Audinaraya, Prusty, Ranjan Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729299/
https://www.ncbi.nlm.nih.gov/pubmed/35068718
http://dx.doi.org/10.4103/ijcm.IJCM_253_20
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author Narayanasamy, Nirmala Saravanan
Das, Arindam
Narayanasamy, Audinaraya
Prusty, Ranjan Kumar
author_facet Narayanasamy, Nirmala Saravanan
Das, Arindam
Narayanasamy, Audinaraya
Prusty, Ranjan Kumar
author_sort Narayanasamy, Nirmala Saravanan
collection PubMed
description BACKGROUND: Aging of population is a worldwide phenomenon of the 21(st) century, which leads to many socioeconomic consequences including their health status. Hence, this study tries to assess the self-reported health status (SRHS) of elderly widows (60+ years) and its principal determinants. MATERIALS AND METHODS: A cross-sectional study was conducted among 360 elderly widows from Puducherry district, 260 urban and 130 from rural areas. The sociodemographic information and the self-rated health status of elderly widows were collected with semi-structured interview schedule. Data were analyzed adopting descriptive statistics and multivariate analysis making use IBM-SPSS software 22 version. RESULTS: Thirty-seven percent each of the elderly widows felt to be in “fair” and “good” health status, respectively, whereas 26% of them stated to be living with “poor” health status. Results of multinomial regression analysis showed that multinomial regression analysis showed that the odds of “poor” and “fair” SRHS (as against “good” SRHS) of elderly widows are conspicuously higher among those who are suffering from 2 or more chronic morbidities, whereas such odds are significantly lower among those who have 2 or more sons, educated up to middle school level and above, and who have higher functional ability. Urban residence, middle-old ages (66–76), and moderate monthly family income (Rs. 3001–9000) have also exhibited some net effects on the “poor” and/or “fair” SRHS of elderly widows. CONCLUSION: Chronic morbidity, having son(s), education, economic status, functional ability, and urban residence are found to be the major determinants of the SRHS among elderly widows.
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spelling pubmed-87292992022-01-20 Self Reported Health Status and its Determinants among Elderly Widows in Puducherry, India Narayanasamy, Nirmala Saravanan Das, Arindam Narayanasamy, Audinaraya Prusty, Ranjan Kumar Indian J Community Med Original Article BACKGROUND: Aging of population is a worldwide phenomenon of the 21(st) century, which leads to many socioeconomic consequences including their health status. Hence, this study tries to assess the self-reported health status (SRHS) of elderly widows (60+ years) and its principal determinants. MATERIALS AND METHODS: A cross-sectional study was conducted among 360 elderly widows from Puducherry district, 260 urban and 130 from rural areas. The sociodemographic information and the self-rated health status of elderly widows were collected with semi-structured interview schedule. Data were analyzed adopting descriptive statistics and multivariate analysis making use IBM-SPSS software 22 version. RESULTS: Thirty-seven percent each of the elderly widows felt to be in “fair” and “good” health status, respectively, whereas 26% of them stated to be living with “poor” health status. Results of multinomial regression analysis showed that multinomial regression analysis showed that the odds of “poor” and “fair” SRHS (as against “good” SRHS) of elderly widows are conspicuously higher among those who are suffering from 2 or more chronic morbidities, whereas such odds are significantly lower among those who have 2 or more sons, educated up to middle school level and above, and who have higher functional ability. Urban residence, middle-old ages (66–76), and moderate monthly family income (Rs. 3001–9000) have also exhibited some net effects on the “poor” and/or “fair” SRHS of elderly widows. CONCLUSION: Chronic morbidity, having son(s), education, economic status, functional ability, and urban residence are found to be the major determinants of the SRHS among elderly widows. Wolters Kluwer - Medknow 2021 2021-12-08 /pmc/articles/PMC8729299/ /pubmed/35068718 http://dx.doi.org/10.4103/ijcm.IJCM_253_20 Text en Copyright: © 2021 Indian Journal of Community Medicine 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
Narayanasamy, Nirmala Saravanan
Das, Arindam
Narayanasamy, Audinaraya
Prusty, Ranjan Kumar
Self Reported Health Status and its Determinants among Elderly Widows in Puducherry, India
title Self Reported Health Status and its Determinants among Elderly Widows in Puducherry, India
title_full Self Reported Health Status and its Determinants among Elderly Widows in Puducherry, India
title_fullStr Self Reported Health Status and its Determinants among Elderly Widows in Puducherry, India
title_full_unstemmed Self Reported Health Status and its Determinants among Elderly Widows in Puducherry, India
title_short Self Reported Health Status and its Determinants among Elderly Widows in Puducherry, India
title_sort self reported health status and its determinants among elderly widows in puducherry, india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729299/
https://www.ncbi.nlm.nih.gov/pubmed/35068718
http://dx.doi.org/10.4103/ijcm.IJCM_253_20
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