Evidence map›Paper›PMID 42907746›Full record

ArticleBMC infectious diseases2026

Perceived fatalism regarding possible COVID-19 infection and its association with self-reported comorbidities in 12 Latin American countries.

Christian R Mejia, Camilo Vega-Useche, Víctor Serna-Alarcón, Jamil Cedillo-Balcázar, Scherlli E Chamorro-Espinoza, Jaime A Yáñez, Neal M Davies, Dalia Useche-Villamizar

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Christian R MejiaUniversidad de Huánuco, Huánuco, Peru.ORCID http://orcid.org/0000-0002-5940-7281
Camilo Vega-UsecheFundación Santa Fe de Bogotá, Bogotá, Colombia. acamilovega@gmail.com.ORCID http://orcid.org/0000-0002-7064-1765
Víctor Serna-AlarcónUniversidad Privada Antenor Orrego, Piura, Peru.ORCID http://orcid.org/0000-0002-9803-6217
Jamil Cedillo-BalcázarDirección Provincial de Salud de Loja, Ministerio de Salud Pública, Loja, Ecuador.ORCID http://orcid.org/0000-0003-1468-0628
Scherlli E Chamorro-EspinozaAsociación Médica de Investigación y Servicios en Salud, Lima, Peru.ORCID http://orcid.org/0000-0003-1412-3872
Jaime A YáñezEscuela de Posgrado, Universidad Internacional Iberoamericana, Campeche, Mexico.ORCID http://orcid.org/0000-0002-9713-1829
Neal M DaviesUniversity of Alberta, Edmonton, Canada.ORCID http://orcid.org/0000-0002-7050-1471
Dalia Useche-VillamizarUniversidad Pedagógica y Tecnológica de Colombia, Tunja, Colombia.ORCID http://orcid.org/0000-0003-0594-023X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has had substantial mental health consequences worldwide. However, evidence on perceived fatalism regarding possible COVID-19 infection, particularly in relation to self-reported comorbidities, remains limited in Latin America.

objectiveTo assess perceived fatalism regarding possible COVID-19 infection and its association with self-reported comorbidities among participants recruited in 12 Latin American countries.

methodsThis multicenter analytical cross-sectional study used a non-probability online snowball sampling strategy from June to August 2020. The study included 6,530 participants from Peru, Chile, Paraguay, Mexico, Colombia, Bolivia, Panama, Ecuador, Costa Rica, El Salvador, Honduras, and Guatemala. Perceived fatalism was assessed using five items from a previously developed COVID-19 fatalism scale. The five-item overall score was the primary measure, whereas domain-specific analyses were considered exploratory because of their lower reliability. Self-reported respiratory disease, cardiac disease, diabetes mellitus, obesity, and other illnesses were analyzed as exposure variables. Adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) were estimated using generalized linear models from the Poisson family with log link and robust variance.

resultsThe median age was 22 years (IQR: 19-28), 58.8% of participants were female, 25.3% reported at least one comorbidity, and 55.0% of the sample was recruited in Peru. The five-item fatalism scale showed acceptable internal consistency (Cronbach's alpha = 0.707; McDonald's omega/Raykov's rho = 0.721). In adjusted models, high overall fatalism was more prevalent among participants reporting respiratory disease (aPR 1.17, 95% CI 1.05-1.30), cardiac disease (aPR 1.25, 95% CI 1.08-1.44), diabetes mellitus (aPR 1.32, 95% CI 1.09-1.61), obesity (aPR 1.23, 95% CI 1.10-1.37), and other illnesses (aPR 1.26, 95% CI 1.15-1.39). Men had a lower prevalence of high overall fatalism (aPR 0.88, 95% CI 0.83-0.94). Sensitivity analyses yielded materially similar estimates.

conclusionsIn this non-probabilistic sample from 12 Latin American countries, self-reported comorbidities were associated with a modestly higher prevalence of perceived fatalism regarding possible COVID-19 infection. These findings should be interpreted as exploratory and hypothesis-generating, given the cross-sectional design, self-reported exposures, potential residual confounding, and the young, Peru-predominant, non-probability sample. They should not be interpreted as nationally representative estimates or as evidence of causal relationships.

Indexed as

COVID-19AdolescentAdultAgedComorbidityCross-Sectional StudiesFemaleHumansLatin AmericaMaleMiddle AgedSARS-CoV-2Self ReportYoung AdultComorbidityCOVID-19Cross-sectional studyFatalismLatin AmericaMental health

Identifiers

PMID42907746
PMCPMC13688888

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.