Spondyloarthritis & psoriatic arthritis

Work participation is unaffected in Belgian spondyloarthritis patients: data from the BelGian Inflammatory Arthritis and SpoNdylitis cohorT

Rheumatology (Oxford)Published Cross-sectional study

Authors' conclusion

Evidence from this academic cohort study does not support a work participation gap between SpA patients and the general population, but confirms the role of physical function, overall HRQoL, and education or job type as risk factors for adverse work outcomes.

Study context

Population
Adult spondyloarthritis (SpA) patients (ASAS criteria), Ghent University Hospital Be-GIANT cohort, May 2018 to May 2019working age (<65 y/o)
Participants
262 patients
Exposure
SpA patients vs general population
Outcome
Work participation (having a paid job) vs general population
Methodological detailsindirect standardization vs general population, logistic regression and negative binomial hurdle models
  • Indirect standardization vs general population
  • Logistic regression and negative binomial hurdle models

Main finding

As reported in the abstract

Paid job (patients of working age, <65 y/o)

Patients

82%

215 events

Age- and sex-adjusted employment ratio vs general population
1.00 (95% CI 0.88, 1.14)

Observational data: associations, not effects.

Further findings

Hours worked per week — General population
39.7 h/week
Sick leave in the previous year — General population
42%
  • Hours worked per week: Patients 39.6 (spread as printed 10.5h) h/week
  • Sick leave in the previous year: Patients 49% (95% CI 42–56%)

Hours worked per week

Similar to the general population

Sick leave in the previous year

Similar to the general population

Presenteeism (restrictions while at work), patients

Reported presenteeism
56%
Presenteeism, median (IQR)
10% (0-20%)

Original publication

Work participation is unaffected in Belgian spondyloarthritis patients: data from the BelGian Inflammatory Arthritis and SpoNdylitis cohorT. Rheumatology (Oxford). Published 13 September 2022. doi:10.1093/rheumatology/keac529

Composed by AI from the published abstract and checked against it. How Briefs are made →

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