Association of variability in metabolic parameters with the incidence of type 2 diabetes: evidence from a functional community cohort
Authors' conclusion
High variability of TC, BMI, VAI and SBP were independent predictors of incident T2D, respectively. There was a graded association between the number of high-variability metabolic parameters and incident T2D.
Study context
- Population
- Participants of the Beijing Functional Community Cohort with three health examinations (2015, 2016, 2017); high variability = highest quartile of variability index
- Participants
- 4,392 participants
- Exposure
- Number of high-variability metabolic parameters (TC, uric acid (UA), body mass index (BMI), visceral adiposity index (VAI), systolic blood pressure (SBP)) vs low variability for all 5
- Outcome
- Incident T2D
- Follow-up
- Median 3.91 years
Methodological detailscommunity-based cohort
- Community-based cohort
Main finding
As reported in the abstract
Incident T2D by number of high-variability metabolic parameters
Each group vs low variability for 5 parametersHazard ratio (95% CI)
1-2
1.488(1.051–2.107)
3
2.036(1.286–3.222)
4-5
3.017(1.549–5.877)
- Incident T2D cases
- 249
Observational data: associations, not effects.
Further findings
High variability in individual parameters
- High variability in TC, BMI, VAI and SBP significantly associated with higher risk of incident T2D
- Significant multiplicative interaction between variability in UA and variability in the other four parameters
- Similar results in various sensitivity analyses
Original publication
Association of variability in metabolic parameters with the incidence of type 2 diabetes: evidence from a functional community cohort. Cardiovasc Diabetol. Published 20 July 2023. doi:10.
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