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Subjective well-being predicts Covid-19 risk in the elderly: a case–control study
BACKGROUND: Covid-19 is a serious public health concern. Previous studies have shown that although there are concerns about the subjective well-being (SWB) of older people in the Covid period, the link between SWB and the risk of Covid-19 is still unclear. This study aimed to investigate the predict...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682847/ https://www.ncbi.nlm.nih.gov/pubmed/36418961 http://dx.doi.org/10.1186/s12877-022-03614-2 |
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author | Kashefi, Fatemeh Bakhtiari, Afsaneh Gholinia, Hemmat Bakouei, Fatemeh Faramarzi, Mahbobeh |
author_facet | Kashefi, Fatemeh Bakhtiari, Afsaneh Gholinia, Hemmat Bakouei, Fatemeh Faramarzi, Mahbobeh |
author_sort | Kashefi, Fatemeh |
collection | PubMed |
description | BACKGROUND: Covid-19 is a serious public health concern. Previous studies have shown that although there are concerns about the subjective well-being (SWB) of older people in the Covid period, the link between SWB and the risk of Covid-19 is still unclear. This study aimed to investigate the predictive effect of SWB on the Covid-19 risk in the elderly as well as the determinants of SWB. METHODS: This case–control study was performed in the elderly over 60 years of age. The case group consisted of all hospitalized patients with COVID-19 and the control group from the same population with no history of COVID-19 matched by age, sex, and place of residence. Data collection tools included a demographic questionnaire and SWB scale of Keyes and Magyarmo to measure emotional, psychological and social well-being. All data were analyzed via SPSS and STATA software. Multiple binary logistic regression was run to predict the probability of Covid-19 risk on the values of total SWB and its three subscales and multiple linear regression to identify SWB determinants. RESULTS: The results showed that increasing one unit in total SWB reduces the risk of Covid-19 by 4% (OR = 0.969, CI = 0.947–0.991, p = 0.006). Emotional well-being with 0.823 had the highest odds ratio for predicting Covid-19 risk, followed by social well-being with an odds ratio of 0.981. Increasing age and education, better economic status, marriage against celibacy, lack of comorbidity, and a better understanding of own health were associated with greater SWB. DISCUSSION: This study provides evidence for the protective effect of SWB on Covid-19 risk. To promote SWB, we need to focus on the elderly with higher financial worries and comorbidities, as well as those with less education, health perception and SWB. Therefore, it will be important for the elderly to determine strategies to improve SWB during the epidemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03614-2. |
format | Online Article Text |
id | pubmed-9682847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96828472022-11-24 Subjective well-being predicts Covid-19 risk in the elderly: a case–control study Kashefi, Fatemeh Bakhtiari, Afsaneh Gholinia, Hemmat Bakouei, Fatemeh Faramarzi, Mahbobeh BMC Geriatr Research BACKGROUND: Covid-19 is a serious public health concern. Previous studies have shown that although there are concerns about the subjective well-being (SWB) of older people in the Covid period, the link between SWB and the risk of Covid-19 is still unclear. This study aimed to investigate the predictive effect of SWB on the Covid-19 risk in the elderly as well as the determinants of SWB. METHODS: This case–control study was performed in the elderly over 60 years of age. The case group consisted of all hospitalized patients with COVID-19 and the control group from the same population with no history of COVID-19 matched by age, sex, and place of residence. Data collection tools included a demographic questionnaire and SWB scale of Keyes and Magyarmo to measure emotional, psychological and social well-being. All data were analyzed via SPSS and STATA software. Multiple binary logistic regression was run to predict the probability of Covid-19 risk on the values of total SWB and its three subscales and multiple linear regression to identify SWB determinants. RESULTS: The results showed that increasing one unit in total SWB reduces the risk of Covid-19 by 4% (OR = 0.969, CI = 0.947–0.991, p = 0.006). Emotional well-being with 0.823 had the highest odds ratio for predicting Covid-19 risk, followed by social well-being with an odds ratio of 0.981. Increasing age and education, better economic status, marriage against celibacy, lack of comorbidity, and a better understanding of own health were associated with greater SWB. DISCUSSION: This study provides evidence for the protective effect of SWB on Covid-19 risk. To promote SWB, we need to focus on the elderly with higher financial worries and comorbidities, as well as those with less education, health perception and SWB. Therefore, it will be important for the elderly to determine strategies to improve SWB during the epidemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03614-2. BioMed Central 2022-11-22 /pmc/articles/PMC9682847/ /pubmed/36418961 http://dx.doi.org/10.1186/s12877-022-03614-2 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 Kashefi, Fatemeh Bakhtiari, Afsaneh Gholinia, Hemmat Bakouei, Fatemeh Faramarzi, Mahbobeh Subjective well-being predicts Covid-19 risk in the elderly: a case–control study |
title | Subjective well-being predicts Covid-19 risk in the elderly: a case–control study |
title_full | Subjective well-being predicts Covid-19 risk in the elderly: a case–control study |
title_fullStr | Subjective well-being predicts Covid-19 risk in the elderly: a case–control study |
title_full_unstemmed | Subjective well-being predicts Covid-19 risk in the elderly: a case–control study |
title_short | Subjective well-being predicts Covid-19 risk in the elderly: a case–control study |
title_sort | subjective well-being predicts covid-19 risk in the elderly: a case–control study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682847/ https://www.ncbi.nlm.nih.gov/pubmed/36418961 http://dx.doi.org/10.1186/s12877-022-03614-2 |
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