Cargando…
Sociodemographic Differences in COVID-19 Self-Reported Symptoms by Ethnicity and Older Adults in Bolivia
The effects of COVID-19 revealed the fragility of health systems in the LAC region, with greater risk of death in older people than in younger people, as well as greater vulnerability to infection due to living with people aged 30–59 years, who have a higher prevalence of COVID-19. On the other hand...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358097/ https://www.ncbi.nlm.nih.gov/pubmed/35965641 http://dx.doi.org/10.1007/s12062-022-09383-5 |
_version_ | 1784763859016351744 |
---|---|
author | Pinto Saravia, Vladimir |
author_facet | Pinto Saravia, Vladimir |
author_sort | Pinto Saravia, Vladimir |
collection | PubMed |
description | The effects of COVID-19 revealed the fragility of health systems in the LAC region, with greater risk of death in older people than in younger people, as well as greater vulnerability to infection due to living with people aged 30–59 years, who have a higher prevalence of COVID-19. On the other hand, there is not much information on inequalities in the incidence of COVID-19 in indigenous people, a population with lower immunological resistance. The objectives are: 1) To determine the association between sociodemographic variables with self-reported COVID-19 symptoms. 2) To investigate whether this relationship shows inequalities by ethnicity and age. For that purpose I conducted a cross-sectional analysis using the 2020 Household Survey and investigated the association between sociodemographic variables and self -reported COVID-19 symptoms and explore the contribution of factors such as employment type, household living arrangements, years of education, age, ethnicity, gender, current status of working and residence area. I performed bivariate analysis to establish trends. Subsequently using logistic regressions to establish the risks to self-reported COVID-19 symptoms. A fully interacted model is analysed by ethnicity. I found those who were living alone were less likely than those living in a Couple with/without relatives’ household arrangement to self-reported COVID-19 symptoms (OR = 0.79, 95% CI: 0.66–0.94, p < .01). Odds of the older persons aged 45–59 (OR = 1.44, 95% CI: 1.27–1.62, p < .05) were relatively more likely than younger people (OR = 1.19, 95% CI: 1.05–1.35, p < .01). Indigenous living in a couple with/without children household arrangement were less likely than non-Indigenous (OR = 0.75, 95% CI: 0.62–0.90, p < .01). Odds of Indigenous people of age 30–44 (OR = 1.26, 95% CI: 1.04–1.53, p < .01) were more likely than non-Indigenous. Odds of Indigenous persons of age 45–59 (OR = 1.59, 95% CI: 1.32–1.91, p < .05) were more likely than non-Indigenous (OR = 1.32, 95% CI: 1.12–1.55, p < .01). As conclusions, 45–59 age group shows higher risk factors and those aged 60 + show lower risks. These are increased in people working in managerial, administrative and professional, and technical positions, those living in a household with/without relatives, men, those living in urban areas, and/or non-indigenous people. |
format | Online Article Text |
id | pubmed-9358097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-93580972022-08-09 Sociodemographic Differences in COVID-19 Self-Reported Symptoms by Ethnicity and Older Adults in Bolivia Pinto Saravia, Vladimir J Popul Ageing Article The effects of COVID-19 revealed the fragility of health systems in the LAC region, with greater risk of death in older people than in younger people, as well as greater vulnerability to infection due to living with people aged 30–59 years, who have a higher prevalence of COVID-19. On the other hand, there is not much information on inequalities in the incidence of COVID-19 in indigenous people, a population with lower immunological resistance. The objectives are: 1) To determine the association between sociodemographic variables with self-reported COVID-19 symptoms. 2) To investigate whether this relationship shows inequalities by ethnicity and age. For that purpose I conducted a cross-sectional analysis using the 2020 Household Survey and investigated the association between sociodemographic variables and self -reported COVID-19 symptoms and explore the contribution of factors such as employment type, household living arrangements, years of education, age, ethnicity, gender, current status of working and residence area. I performed bivariate analysis to establish trends. Subsequently using logistic regressions to establish the risks to self-reported COVID-19 symptoms. A fully interacted model is analysed by ethnicity. I found those who were living alone were less likely than those living in a Couple with/without relatives’ household arrangement to self-reported COVID-19 symptoms (OR = 0.79, 95% CI: 0.66–0.94, p < .01). Odds of the older persons aged 45–59 (OR = 1.44, 95% CI: 1.27–1.62, p < .05) were relatively more likely than younger people (OR = 1.19, 95% CI: 1.05–1.35, p < .01). Indigenous living in a couple with/without children household arrangement were less likely than non-Indigenous (OR = 0.75, 95% CI: 0.62–0.90, p < .01). Odds of Indigenous people of age 30–44 (OR = 1.26, 95% CI: 1.04–1.53, p < .01) were more likely than non-Indigenous. Odds of Indigenous persons of age 45–59 (OR = 1.59, 95% CI: 1.32–1.91, p < .05) were more likely than non-Indigenous (OR = 1.32, 95% CI: 1.12–1.55, p < .01). As conclusions, 45–59 age group shows higher risk factors and those aged 60 + show lower risks. These are increased in people working in managerial, administrative and professional, and technical positions, those living in a household with/without relatives, men, those living in urban areas, and/or non-indigenous people. Springer Netherlands 2022-08-08 2022 /pmc/articles/PMC9358097/ /pubmed/35965641 http://dx.doi.org/10.1007/s12062-022-09383-5 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Pinto Saravia, Vladimir Sociodemographic Differences in COVID-19 Self-Reported Symptoms by Ethnicity and Older Adults in Bolivia |
title | Sociodemographic Differences in COVID-19 Self-Reported Symptoms by Ethnicity and Older Adults in Bolivia |
title_full | Sociodemographic Differences in COVID-19 Self-Reported Symptoms by Ethnicity and Older Adults in Bolivia |
title_fullStr | Sociodemographic Differences in COVID-19 Self-Reported Symptoms by Ethnicity and Older Adults in Bolivia |
title_full_unstemmed | Sociodemographic Differences in COVID-19 Self-Reported Symptoms by Ethnicity and Older Adults in Bolivia |
title_short | Sociodemographic Differences in COVID-19 Self-Reported Symptoms by Ethnicity and Older Adults in Bolivia |
title_sort | sociodemographic differences in covid-19 self-reported symptoms by ethnicity and older adults in bolivia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358097/ https://www.ncbi.nlm.nih.gov/pubmed/35965641 http://dx.doi.org/10.1007/s12062-022-09383-5 |
work_keys_str_mv | AT pintosaraviavladimir sociodemographicdifferencesincovid19selfreportedsymptomsbyethnicityandolderadultsinbolivia |