The sociodemographic patterning of sick leave and determinants of longer sick leave after mild and severe COVID-19: a nationwide register-based study in Sweden.
Background Studies on sociodemographic differences in sick leave after coronavirus disease 2019 (COVID-19) are limited and research on COVID-19 long-term health consequences has mainly addressed hospitalized individuals. The aim of this study was to investigate the social patterning of sick leave an...
| Publicado en: | European Journal of Public Health Vol. 34; no. 1; pp. 121 - 129 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Feb2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175366346&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175366346 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11011262 BHW jtl: European Journal of Public Health issn: 11011262 maglogo: N pubinfo: dt: Feb2024 vid: 34 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 175366346 175366346 175366346 10.1093/eurpub/ckad191 175366346 ppf: 121 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The sociodemographic patterning of sick leave and determinants of longer sick leave after mild and severe COVID-19: a nationwide register-based study in Sweden. aug: au: Spetz, Malin Dag, Yvonne Natt och Li, Huiqi Nwaru, Chioma Santosa, Ailiana Nyberg, Fredrik Rosvall, Maria affil: Department of School of Public health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg , Gothenburg, Sweden sug: subj: COVID-19 Diagnosis Severity of Illness Sociodemographic Factors Sweden Sick Leave Social Determinants of Health Human Male Female Adolescence Adult Middle Age Nonexperimental Studies Polymerase Chain Reaction COVID-19 Testing Sweden Logistic Regression COVID-19 Vaccines COVID-19 Prevention and Control Confidence Intervals COVID-19 Pandemic Descriptive Statistics Funding Source Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Background Studies on sociodemographic differences in sick leave after coronavirus disease 2019 (COVID-19) are limited and research on COVID-19 long-term health consequences has mainly addressed hospitalized individuals. The aim of this study was to investigate the social patterning of sick leave and determinants of longer sick leave after COVID-19 among mild and severe cases. Methods The study population, from the Swedish multi-register observational study SCIFI-PEARL, included individuals aged 18–64 years in the Swedish population, gainfully employed, with a first positive polymerase chain reaction (PCR) test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from 1 January 2020 until 31 August 2021 (n = 661 780). Using logistic regression models, analyses were adjusted for sociodemographic factors, vaccination, prior sick leave, comorbidities and stratified by hospitalization. Results In total, 37 420 (5.7%) individuals were on sick leave due to COVID-19 in connection with their first positive COVID-19 test. Individuals on sick leave were more often women, older, had lower income and/or were born outside Sweden. These differences were similar across COVID-19 pandemic phases. The highest proportion of sick leave was seen in the oldest age group (10.3%) with an odds ratio of 4.32 (95% confidence interval 4.18–4.47) compared with the youngest individuals. Among individuals hospitalized due to COVID-19, the sociodemographic pattern was less pronounced, and in some models, even reversed. The intersectional analysis revealed considerable variability in sick leave between sociodemographic groups (range: 1.5–17.0%). Conclusion In the entire Swedish population of gainfully employed individuals, our findings demonstrated evident sociodemographic differences in sick leave due to COVID-19. In the hospitalized group, the social patterning was different and less pronounced. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|