Systemic sclerosis & Raynaud's
Understanding the Employment Landscape in People With Systemic Sclerosis
Authors' conclusion
Health factors alone do not differentiate those who are employed and those who gave up employment.
Study context
- Population
- Employed and recently working, but now unemployed, individuals with systemic sclerosis (SSc)108 [77.1%] women, 32 [22.9%] men
- Participants
- 140 participants
- Exposure
- Employed vs recently working, now unemployed individuals with SSc
- Employedn = 110
- Unemployedn = 30reference
- Outcome
- Availability of workplace accommodations
Main finding
As reported in the abstract
- Employed
- flexible hours 74.5% vs 40%; P = 0.0005
- Employed
- more rest periods 73.6% vs 46.7%; P = 0.0001
- Employed
- special equipment 82.7% vs 46.7%; P < 0.0001
- Employed
- work schedule flexibility 66.4% vs 33.3%; P = 0.003
Observational data: associations, not effects.
Further findings
Mean age
Employed participants by education
- Employed with postsecondary education
- 77.3%
- Employed without postsecondary education
- 22.7%
Employment by flare frequency
- No flares
- 41.7%
- 1 to 2 flares
- 35.2%
- ≥ 3 flares
- 23.1%
Employment sector
- Education/health/sciences/arts
- n = 51, 36.4%
- Sales/retail
- n = 23, 16.5%
- Banking/insurance/business/technology
- n = 22, 15.7%
- Government
- n = 15, 10.7%
- Construction/utilities
- n = 10, 7.1%
- Manufacturing/agriculture/mining/logging
- n = 10, 7.1%
Original publication
Understanding the Employment Landscape in People With Systemic Sclerosis. J Rheumatol. Published 15 February 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →