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Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study
by
Müller, Mira
, Alexanderson, Kristina
, Farrants, Kristin
in
Adult
/ Biostatistics
/ Cohort analysis
/ Confidence intervals
/ Country of birth
/ COVID-19
/ COVID-19 - epidemiology
/ Employment - statistics & numerical data
/ Environmental Health
/ Epidemics
/ Epidemiology
/ Female
/ Health aspects
/ Humans
/ Illnesses
/ Incidence
/ Insurance agencies
/ Labor market
/ Male
/ Medical diagnosis
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Occupations
/ Pandemics
/ Population
/ Private sector
/ Prospective cohort
/ Prospective Studies
/ Public Health
/ Sick leave
/ Sick Leave - statistics & numerical data
/ Sick Leave - trends
/ Social aspects
/ Sociodemographics
/ State employees
/ Statistical analysis
/ Statistics
/ Sweden
/ Sweden - epidemiology
/ Vaccine
/ White collar workers
/ Workers
2025
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Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study
by
Müller, Mira
, Alexanderson, Kristina
, Farrants, Kristin
in
Adult
/ Biostatistics
/ Cohort analysis
/ Confidence intervals
/ Country of birth
/ COVID-19
/ COVID-19 - epidemiology
/ Employment - statistics & numerical data
/ Environmental Health
/ Epidemics
/ Epidemiology
/ Female
/ Health aspects
/ Humans
/ Illnesses
/ Incidence
/ Insurance agencies
/ Labor market
/ Male
/ Medical diagnosis
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Occupations
/ Pandemics
/ Population
/ Private sector
/ Prospective cohort
/ Prospective Studies
/ Public Health
/ Sick leave
/ Sick Leave - statistics & numerical data
/ Sick Leave - trends
/ Social aspects
/ Sociodemographics
/ State employees
/ Statistical analysis
/ Statistics
/ Sweden
/ Sweden - epidemiology
/ Vaccine
/ White collar workers
/ Workers
2025
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Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study
by
Müller, Mira
, Alexanderson, Kristina
, Farrants, Kristin
in
Adult
/ Biostatistics
/ Cohort analysis
/ Confidence intervals
/ Country of birth
/ COVID-19
/ COVID-19 - epidemiology
/ Employment - statistics & numerical data
/ Environmental Health
/ Epidemics
/ Epidemiology
/ Female
/ Health aspects
/ Humans
/ Illnesses
/ Incidence
/ Insurance agencies
/ Labor market
/ Male
/ Medical diagnosis
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Occupations
/ Pandemics
/ Population
/ Private sector
/ Prospective cohort
/ Prospective Studies
/ Public Health
/ Sick leave
/ Sick Leave - statistics & numerical data
/ Sick Leave - trends
/ Social aspects
/ Sociodemographics
/ State employees
/ Statistical analysis
/ Statistics
/ Sweden
/ Sweden - epidemiology
/ Vaccine
/ White collar workers
/ Workers
2025
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Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study
Journal Article
Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study
2025
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Overview
Background
The COVID-19 pandemic brought with it several changes, both regarding infection with COVID-19 itself as well as measures to combat the spread of infection, that might have affected sickness absence (SA) patterns. The aim was to explore whether incidence and length of SA changed between 2019, 2020, and 2021, as well as to determine factors associated with SA due to COVID-19 or COVID-like diagnoses among privately employed white-collar workers.
Methods
A cohort of all privately employed white-collar workers in 2018 in Sweden (
n
= 1 347 778; 47% women) was followed prospectively during 2019, 2020, and 2021 using linked nationwide register data. We calculated numbers and proportions of people with incident SA (in SA spells > 14 days) due to COVID-19, COVID-like diagnoses (certain respiratory, infectious, and symptom-based diagnoses used in the beginning of the pandemic for suspected COVID-19), and all other SA, respectively, and mean number of SA days with somatic and mental diagnoses. Logistic regression was used to determine odds ratios (OR) and 95% confidence intervals for associations between prior diagnosis-specific SA, sociodemographic and work-related factors and incident SA due to COVID-19 or COVID-like diagnoses.
Results
In 2020, 0.6% of the women and 0.3% of the men had incident SA due to COVID-19. For SA with COVID-like diagnoses, the corresponding proportions were 1.2% and 0.5%. The proportion of people with all other SA was stable across the years, at 8.1–8.4% for women and 3.7–3.9% for men. The mean number of SA days per person increased each year for somatic diagnoses but for mental diagnoses it decreased from 2019 to 2020 and increased to 2021 among women and men. Factors associated most strongly with incident SA due to COVID-19 or COVID-like diagnoses were low income (adjusted OR-range 1.36–5.67 compared to the highest income group) and prior SA due to COVID-like diagnoses (OR-range 4.67–5.31 compared to those with no such prior SA).
Conclusions
A small proportion of privately-employed white-collar workers had incident SA spells > 14 days due to COVID-19 or COVID-like diagnoses. The factors associated with SA due to COVID-19 were similar to factors associated with SA due to other diagnoses in previous studies.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
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