Factors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areas
OBJECTIVE: To determine the factors associated with prevention practices against COVID-19 in the Peruvian population according to rural vs. urban locations. METHODS: Analytical cross-sectional study, secondary analysis based on a previously collected database. A sample of individuals over 18 years o...
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2022
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| author | Fernandez‐Guzman, Daniel Soriano‐Moreno, David R. Ccami‐Bernal, Fabricio Velasquez-Fernandez, Randy Morocho-Alburqueque, Noelia De-Los-Rios-Pinto, Abraham Coba-Villan, Naomi Diaz-Corrales, Angelica Pinedo-Soria, Antony Grados‐Espinoza, Pamela Nieto-Gutierrez, Wendy |
| author_browse | Ccami‐Bernal, Fabricio Coba-Villan, Naomi De-Los-Rios-Pinto, Abraham Diaz-Corrales, Angelica Fernandez‐Guzman, Daniel Grados‐Espinoza, Pamela Morocho-Alburqueque, Noelia Nieto-Gutierrez, Wendy Pinedo-Soria, Antony Soriano‐Moreno, David R. Velasquez-Fernandez, Randy |
| author_facet | Fernandez‐Guzman, Daniel Soriano‐Moreno, David R. Ccami‐Bernal, Fabricio Velasquez-Fernandez, Randy Morocho-Alburqueque, Noelia De-Los-Rios-Pinto, Abraham Coba-Villan, Naomi Diaz-Corrales, Angelica Pinedo-Soria, Antony Grados‐Espinoza, Pamela Nieto-Gutierrez, Wendy |
| author_sort | Fernandez‐Guzman, Daniel |
| collection | Producción científica |
| description | OBJECTIVE: To determine the factors associated with prevention practices against COVID-19 in the Peruvian population according to rural vs. urban locations. METHODS: Analytical cross-sectional study, secondary analysis based on a previously collected database. A sample of individuals over 18 years of age, residing in Peru and with no history of COVID-19was evaluated. Factors associated with prevention practices were evaluated using Poisson regressions with variance adjustment by region cluster and stratified by rurality. RESULTS: Of 3231 participants included, 2741 (84.8%) were from urban areas and 490 (15.2%) from rural areas. The frequency of good prevention practices against COVID-19 was 27.8% in our total sample. In urban areas the frequency of good prevention practices was 28.8% and in rural areas it was 22.5%. Factors associated with prevention practices against COVID-19 in both urban and rural areas were male sex (urban: aPR 0.64, 95%CI 0.55-0.75; rural: aPR 0.66, 95%CI 0.54-0.80) and self-considering adequately carrying out prevention practices (urban: aPR 2.48, 95%CI 2.13-2.89; rural: aPR 2.70, 95%CI 2.27-3.19). CONCLUSION: The frequency of good prevention practices against COVID-19 was less than 30% in both urban and rural areas. There are differences in the factors associated with good preventive practice against COVID-19. Only sex and considering that preventive measures were adequately carried out were associated with good prevention practices in both areas. In view of this, prevention measures should be promoted taking into account cultural principles and considering geographical location in the face of present and future outbreaks or pandemics. |
| format | Article |
| id | oai:cris.upeu.edu.pe:20.500.15037/1491 |
| institution | UPeU |
| language | English |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| record_format | dspace |
| spelling | oai:cris.upeu.edu.pe:20.500.15037/14912026-10-30T16:15:57ZFactors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areasFernandez‐Guzman, DanielSoriano‐Moreno, David R.Ccami‐Bernal, FabricioVelasquez-Fernandez, RandyMorocho-Alburqueque, NoeliaDe-Los-Rios-Pinto, AbrahamCoba-Villan, NaomiDiaz-Corrales, AngelicaPinedo-Soria, AntonyGrados‐Espinoza, PamelaNieto-Gutierrez, WendyRuralityRural areaEnvironmental healthMedicinePopulationPoisson regressionCross-sectional studyGeographyDemographySocioeconomicsSociologyPathologyCOVID-19 epidemiologyCOVID-19 prevention & controlAdolescentAdultCross-Sectional StudiesFemaleHumansMalePeru epidemiologyRural PopulationUrban PopulationPandemics prevention & controlSocial Sciences Psychology Clinical Psychology COVID-19 and Mental HealthPhysical Sciences Mathematics Modeling and Simulation COVID-19 epidemiological studiesHealth Sciences Medicine Epidemiology Respiratory viral infections researchOBJECTIVE: To determine the factors associated with prevention practices against COVID-19 in the Peruvian population according to rural vs. urban locations. METHODS: Analytical cross-sectional study, secondary analysis based on a previously collected database. A sample of individuals over 18 years of age, residing in Peru and with no history of COVID-19was evaluated. Factors associated with prevention practices were evaluated using Poisson regressions with variance adjustment by region cluster and stratified by rurality. RESULTS: Of 3231 participants included, 2741 (84.8%) were from urban areas and 490 (15.2%) from rural areas. The frequency of good prevention practices against COVID-19 was 27.8% in our total sample. In urban areas the frequency of good prevention practices was 28.8% and in rural areas it was 22.5%. Factors associated with prevention practices against COVID-19 in both urban and rural areas were male sex (urban: aPR 0.64, 95%CI 0.55-0.75; rural: aPR 0.66, 95%CI 0.54-0.80) and self-considering adequately carrying out prevention practices (urban: aPR 2.48, 95%CI 2.13-2.89; rural: aPR 2.70, 95%CI 2.27-3.19). CONCLUSION: The frequency of good prevention practices against COVID-19 was less than 30% in both urban and rural areas. There are differences in the factors associated with good preventive practice against COVID-19. Only sex and considering that preventive measures were adequately carried out were associated with good prevention practices in both areas. In view of this, prevention measures should be promoted taking into account cultural principles and considering geographical location in the face of present and future outbreaks or pandemics.Articlehttps://pubmed.ncbi.nlm.nih.gov/35536862https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0267625&type=printablehttps://doi.org/10.1371/journal.pone.026762510.1371/journal.pone.0267625https://hdl.handle.net/20.500.15037/1491W4229455758enPLoS ONE1932-62032022-05-102026-06-13T13:21:04Z2026-06-13T13:21:04Z |
| spellingShingle | Rurality Rural area Environmental health Medicine Population Poisson regression Cross-sectional study Geography Demography Socioeconomics Sociology Pathology COVID-19 epidemiology COVID-19 prevention & control Adolescent Adult Cross-Sectional Studies Female Humans Male Peru epidemiology Rural Population Urban Population Pandemics prevention & control Social Sciences Psychology Clinical Psychology COVID-19 and Mental Health Physical Sciences Mathematics Modeling and Simulation COVID-19 epidemiological studies Health Sciences Medicine Epidemiology Respiratory viral infections research Fernandez‐Guzman, Daniel Soriano‐Moreno, David R. Ccami‐Bernal, Fabricio Velasquez-Fernandez, Randy Morocho-Alburqueque, Noelia De-Los-Rios-Pinto, Abraham Coba-Villan, Naomi Diaz-Corrales, Angelica Pinedo-Soria, Antony Grados‐Espinoza, Pamela Nieto-Gutierrez, Wendy Factors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areas |
| title | Factors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areas |
| title_full | Factors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areas |
| title_fullStr | Factors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areas |
| title_full_unstemmed | Factors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areas |
| title_short | Factors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areas |
| title_sort | factors associated with prevention practices against covid 19 in the peruvian population disparities between rural and urban areas |
| topic | Rurality Rural area Environmental health Medicine Population Poisson regression Cross-sectional study Geography Demography Socioeconomics Sociology Pathology COVID-19 epidemiology COVID-19 prevention & control Adolescent Adult Cross-Sectional Studies Female Humans Male Peru epidemiology Rural Population Urban Population Pandemics prevention & control Social Sciences Psychology Clinical Psychology COVID-19 and Mental Health Physical Sciences Mathematics Modeling and Simulation COVID-19 epidemiological studies Health Sciences Medicine Epidemiology Respiratory viral infections research |
| topic_facet | Rurality Rural area Environmental health Medicine Population Poisson regression Cross-sectional study Geography Demography Socioeconomics Sociology Pathology COVID-19 epidemiology COVID-19 prevention & control Adolescent Adult Cross-Sectional Studies Female Humans Male Peru epidemiology Rural Population Urban Population Pandemics prevention & control Social Sciences Psychology Clinical Psychology COVID-19 and Mental Health Physical Sciences Mathematics Modeling and Simulation COVID-19 epidemiological studies Health Sciences Medicine Epidemiology Respiratory viral infections research |
| url | https://pubmed.ncbi.nlm.nih.gov/35536862 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0267625&type=printable https://doi.org/10.1371/journal.pone.0267625 https://hdl.handle.net/20.500.15037/1491 |
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