Evidence map›Paper›PMID 39022447›Full record

ArticleInternational journal of public health2024

Socioeconomic Status and Adherence to Preventive Measures During the COVID-19 Pandemic in Switzerland: A Population Based Digital Cohort Analysis.

Stefano Tancredi, Bernadette W A van der Linden, Arnaud Chiolero, Stéphane Cullati, Medea Imboden, Nicole Probst-Hensch, Dirk Keidel, Melissa Witzig, Julia Dratva, Gisela Michel and 17 more

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Article in International journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

27 authors.

Stefano TancrediPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
Bernadette W A van der LindenPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
Arnaud ChioleroPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
Stéphane CullatiPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
Medea ImbodenSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Nicole Probst-HenschSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Dirk KeidelSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Melissa WitzigSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Julia DratvaUniversity of Basel, Basel, Switzerland.
Gisela MichelFaculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland.
Erika HarjuFaculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland.
Irene FrankClinical Trial Unit, Cantonal Hospital Lucerne, Lucerne, Switzerland.
Elsa LortheUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Hélène BayssonUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Silvia StringhiniUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Christian R KahlertCantonal Hospital St Gallen, Division of Infectious Diseases and Hospital Epidemiology, St Gallen, Switzerland.
Julia B BardocziInstitute of Primary Healthcare (BIHAM), University of Bern, Bern, Switzerland.
Moa Lina HallerInstitute of Primary Healthcare (BIHAM), University of Bern, Bern, Switzerland.
Patricia O Chocano-BedoyaInstitute of Primary Healthcare (BIHAM), University of Bern, Bern, Switzerland.
Nicolas RodondiInstitute of Primary Healthcare (BIHAM), University of Bern, Bern, Switzerland.
Rebecca AmatiInstitute of Public Health, Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland.
Emiliano AlbaneseInstitute of Public Health, Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland.
Laurie CornaDepartment of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland.
Luca CrivelliInstitute of Public Health, Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland.
Marco KaufmannEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Anja FreiEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Viktor von WylEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess the association between socioeconomic status (SES) and self-reported adherence to preventive measures in Switzerland during the COVID-19 pandemic. Methods: 4,299 participants from a digital cohort were followed between September 2020 and November 2021. Baseline equivalised disposable income and education were used as SES proxies. Adherence was assessed over time. We investigated the association between SES and adherence using multivariable mixed logistic regression, stratifying by age (below/above 65 years) and two periods (before/after June 2021, to account for changes in vaccine coverage and epidemiological situation). Results: Adherence was high across all SES strata before June 2021. After, participants with higher equivalised disposable income were less likely to adhere to preventive measures compared to participants in the first (low) quartile [second (Adj.OR, 95% CI) (0.56, 0.37-0.85), third (0.38, 0.23-0.64), fourth (0.60, 0.36-0.98)]. We observed similar results for education. Conclusion: No differences by SES were found during the period with high SARS-CoV-2 incidence rates and stringent measures. Following the broad availability of vaccines, lower incidence, and eased measures, differences by SES started to emerge. Our study highlights the need for contextual interpretation when assessing SES impact on adherence to preventive measures.

Indexed as

COVID-19SARS-CoV-2Social ClassAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPandemicsPatient ComplianceSwitzerlandCOVID-19 pandemicincomepreventive measuresSARS-CoV-2socioeconomic status

Identifiers

PMID39022447
PMCPMC11251880

What OpenQuestion holds

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Registered trials

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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.