Association of Intensive Lifestyle Intervention for Type 2 Diabetes With Labor Market Outcomes
Main finding · EmploymentResult — go to the resultRelative change 2.9 percentage points 95% CI 0.3–5.5Authors' conclusion
The findings of this cohort study suggest that an ILI to prevent the progression and complications of type 2 diabetes was associated with higher levels of employment. Labor market productivity should be considered when evaluating interventions to manage chronic diseases.
Study context
- Population
- Participants with T2D and overweight or obesity in the original trial (2001–2012), linked with Social Security Administration records; 59.4% women, mean (SD) age 58.4 (6.5) yearslinked of 5145 randomized
- Participants
- 3,091 participants
- Exposure
- Intensive lifestyle intervention (ILI) vs diabetes support and education
- Outcome
- Employment and receipt of federal disability benefits (Supplemental Security Income and Social Security Disability Insurance), earnings, and disability benefit payments
- Follow-up
- 1994 through 2018
Methodological detailslinked trial and Social Security Administration data, difference-in-differences models, Outcome data analyzed from July 13, 2020, to May 17, 2023
- Linked trial and Social Security Administration data
- Difference-in-differences models
- Outcome data analyzed from July 13, 2020, to May 17, 2023
Main finding
Employment
Relative change
2.9 percentage points
95% CI 0.3–5.5
P = 0.03
ILIvs Control
relative change 2.9 percentage points (95% CI 0.3–5.5); P = 0.03
As reported in the abstract
Observational data: associations, not effects.
Further findings
| Outcome | Relative change (percentage points) (95% CI) | P value | |
|---|---|---|---|
| Disability benefit receiptNo significant relative change | −0.9 (−2.1 to 0.3) | P = 0.13 | |
| −3−2−101Difference, percentage points (linear scale) |
Original publication
Association of Intensive Lifestyle Intervention for Type 2 Diabetes With Labor Market Outcomes. JAMA Intern Med. Published 1 October 2023. doi:10. 1001/ jamainternmed. 2023. 3283
Composed by AI from the published abstract and checked against it. How Briefs are made →