tetano
Editor, Senior Moderator
Int J Public Health
. 2024 Jul 3:69:1606861.
doi: 10.3389/ijph.2024.1606861. eCollection 2024. Socioeconomic Status and Adherence to Preventive Measures During the COVID-19 Pandemic in Switzerland: A Population Based Digital Cohort Analysis
Stefano Tancredi[SUP] 1 [/SUP], Bernadette W A van der Linden[SUP] 1 [/SUP], Arnaud Chiolero[SUP] 1 2 3 [/SUP], Stéphane Cullati[SUP] 1 4 [/SUP], Medea Imboden[SUP] 5 6 [/SUP], Nicole Probst-Hensch[SUP] 5 6 [/SUP], Dirk Keidel[SUP] 5 6 [/SUP], Melissa Witzig[SUP] 5 6 [/SUP], Julia Dratva[SUP] 6 7 [/SUP], Gisela Michel[SUP] 8 [/SUP], Erika Harju[SUP] 8 9 [/SUP], Irene Frank[SUP] 10 [/SUP], Elsa Lorthe[SUP] 11 12 [/SUP], Hélène Baysson[SUP] 11 [/SUP], Silvia Stringhini[SUP] 11 13 14 15 [/SUP], Christian R Kahlert[SUP] 16 17 [/SUP], Julia B Bardoczi[SUP] 3 18 [/SUP], Moa Lina Haller[SUP] 3 [/SUP], Patricia O Chocano-Bedoya[SUP] 3 [/SUP], Nicolas Rodondi[SUP] 3 18 [/SUP], Rebecca Amati[SUP] 19 [/SUP], Emiliano Albanese[SUP] 19 [/SUP], Laurie Corna[SUP] 20 [/SUP], Luca Crivelli[SUP] 19 20 [/SUP], Marco Kaufmann[SUP] 21 [/SUP], Anja Frei[SUP] 21 [/SUP], Viktor von Wyl[SUP] 21 22 [/SUP]
Affiliations
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.
Keywords: COVID-19 pandemic; SARS-CoV-2; income; preventive measures; socioeconomic status.
. 2024 Jul 3:69:1606861.
doi: 10.3389/ijph.2024.1606861. eCollection 2024. Socioeconomic Status and Adherence to Preventive Measures During the COVID-19 Pandemic in Switzerland: A Population Based Digital Cohort Analysis
Stefano Tancredi[SUP] 1 [/SUP], Bernadette W A van der Linden[SUP] 1 [/SUP], Arnaud Chiolero[SUP] 1 2 3 [/SUP], Stéphane Cullati[SUP] 1 4 [/SUP], Medea Imboden[SUP] 5 6 [/SUP], Nicole Probst-Hensch[SUP] 5 6 [/SUP], Dirk Keidel[SUP] 5 6 [/SUP], Melissa Witzig[SUP] 5 6 [/SUP], Julia Dratva[SUP] 6 7 [/SUP], Gisela Michel[SUP] 8 [/SUP], Erika Harju[SUP] 8 9 [/SUP], Irene Frank[SUP] 10 [/SUP], Elsa Lorthe[SUP] 11 12 [/SUP], Hélène Baysson[SUP] 11 [/SUP], Silvia Stringhini[SUP] 11 13 14 15 [/SUP], Christian R Kahlert[SUP] 16 17 [/SUP], Julia B Bardoczi[SUP] 3 18 [/SUP], Moa Lina Haller[SUP] 3 [/SUP], Patricia O Chocano-Bedoya[SUP] 3 [/SUP], Nicolas Rodondi[SUP] 3 18 [/SUP], Rebecca Amati[SUP] 19 [/SUP], Emiliano Albanese[SUP] 19 [/SUP], Laurie Corna[SUP] 20 [/SUP], Luca Crivelli[SUP] 19 20 [/SUP], Marco Kaufmann[SUP] 21 [/SUP], Anja Frei[SUP] 21 [/SUP], Viktor von Wyl[SUP] 21 22 [/SUP]
Affiliations
- PMID: 39022447
- PMCID: PMC11251880
- DOI: 10.3389/ijph.2024.1606861
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.
Keywords: COVID-19 pandemic; SARS-CoV-2; income; preventive measures; socioeconomic status.