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Scand J Public Health ; 49(1): 57-63, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1207561

ABSTRACT

BACKGROUND: Pneumonia and influenza are major health concerns and constitute a high economic burden. However, few data are available on the associated risk of pneumonia and influenza and work exposure on a large population scale. AIM: This study aimed to examine the associated risk of pneumonia and influenza by type of work exposure. METHODS: By cross-linking administrative Danish registries, we classified people in 10 different profession types. The main outcome was hospitalisation with pneumonia or influenza. A multivariable Poisson regression analysis was used to assess the associated incidence rate ratio (IRR) of being hospitalised with pneumonia or influenza by type of profession. RESULTS: A total of 1,327,606 people added risk time to the analyses. In a multivariable model, work in day care, public transportation, sewers and nursing home care was associated with an increased risk of hospitalisation with pneumonia compared to work within public administration: IRR=1.20 (95% confidence interval (CI) 1.12-1.28), IRR=1.21 (95% CI 1.09-1.34), IRR=1.61 (95% CI 1.19-2.19) and IRR=1.10 (95% CI 1.03-1.18), respectively. In a multivariable analysis, people working within public transportation were associated with an increased risk of hospitalisation with influenza compared to people working within public administration: IRR=2.54 (95% CI 1.79-3.58). CONCLUSIONS: Working in day care, public transportation, sewers and nursing home care increased the associated risk of hospitalisation with pneumonia, and working within public transportation increased the associated risk of being hospitalised with influenza compared to working within public administration.


Subject(s)
Hospitalization/statistics & numerical data , Influenza, Human/therapy , Occupational Diseases/therapy , Occupational Exposure/adverse effects , Pneumonia/therapy , Adult , Aged , Denmark/epidemiology , Female , Humans , Incidence , Influenza, Human/epidemiology , Male , Middle Aged , Occupational Diseases/epidemiology , Occupations/statistics & numerical data , Pneumonia/epidemiology , Registries , Risk Assessment
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