Evidence map›Paper›PMID 35536862›Full record

ArticlePloS one2022

Factors associated with prevention practices against COVID-19 in the Peruvian population: Disparities between rural and urban areas.

Daniel Fernandez-Guzman, David R Soriano-Moreno, Fabricio Ccami-Bernal, Randy Velasquez-Fernandez, Noelia Morocho-Alburqueque, Abraham De-Los-Rios-Pinto, Naomi Coba-Villan, Angelica Diaz-Corrales, Antony Pinedo-Soria, Pamela Grados-Espinoza and 1 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Daniel Fernandez-GuzmanGrupo Peruano de Investigación Epidemiológica, Unidad para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Perú.ORCID 0000-0002-9441-1067
David R Soriano-MorenoUnidad de Investigación Clínica y Epidemiológica, Escuela de Medicina, Universidad Peruana Unión, Lima, Peru.
Fabricio Ccami-BernalUniversidad Nacional de San Agustín de Arequipa, Arequipa, Peru.ORCID 0000-0003-3172-2113
Randy Velasquez-FernandezFacultad de Medicina, Universidad Nacional Mayor de San Marcos, Lima, Peru.
Noelia Morocho-AlburquequeEscuela profesional de Medicina Humana, Facultad de Ciencias de la Salud, Universidad Nacional de Piura, Piura, Castilla, Peru.
Abraham De-Los-Rios-PintoEscuela Profesional de Medicina Humana, Universidad Nacional de San Antonio Abad del Cusco, Cusco, Perú.
Naomi Coba-VillanFacultad de Medicina Humana, Universidad Nacional de Cajamarca, Cajamarca, Peru.
Angelica Diaz-CorralesFacultad de Medicina Humana, Universidad de San Martin de Porres, Chiclayo, Peru.
Antony Pinedo-SoriaFacultad de Medicina Humana, Universidad Nacional de San Martín, Tarapoto, Peru.
Pamela Grados-EspinozaFacultad de Medicina Humana, Universidad Nacional Daniel Alcides Carrión, Cerro de Pasco, Peru.
Wendy Nieto-GutierrezUnidad de Investigación para la Generación de Síntesis de Evidencia en Salud, Universidad San Ignacio de Loyola, Lima, Peru.ORCID 0000-0001-8012-1520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the factors associated with prevention practices against COVID-19 in the Peruvian population according to rural vs. urban locations.

methodsAnalytical 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.

resultsOf 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).

conclusionThe 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.

Indexed as

COVID-19AdolescentAdultCross-Sectional StudiesFemaleHumansMalePandemicsPeruRural PopulationUrban Population

Identifiers

PMID35536862
PMCPMC9089852

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.