Publication date: Jun 18, 2025
This study aimed to investigate productivity loss during the COVID-19 pandemic and identify risk factors by examining indicators of work productivity loss in a population-based cohort in The Netherlands. Longitudinal data from the Lifelines COVID-19 cohort were used, enriched with registry data from Statistics Netherlands. Data of N=11 462 workers were collected from 2020-2022. Productivity loss was measured using four indicators: unemployment, sickness absence rate, loss of work hours, and loss of work quality. Generalized estimating equations were used to examine the association between socioeconomic, health-, and work-related characteristics and the four indicators. Unemployment remained low (
Concepts | Keywords |
---|---|
Covid | Aimed |
Netherlands | Cohort |
Pandemic | Covid |
Socioeconomic | Examining |
Factors | |
Identify | |
Indicators | |
Investigate | |
Loss | |
Netherlands | |
Pandemic | |
Population | |
Productivity | |
Risk | |
Unemployment |
Semantics
Type | Source | Name |
---|---|---|
disease | MESH | COVID-19 pandemic |
disease | MESH | unemployment |
disease | IDO | quality |