Association between two novel anthropometric measures and type 2 diabetes in a Chinese population
Authors' conclusion
C-index and RFM are strongly associated with new-onset T2DM and could be used to identify the risk of diabetes in large-scale epidemiological studies.
Study context
- Population
- Adults aged over 18 years in Shenzhen Longhua district, China
- Participants
- 10,813 adults
- Exposure
- Quartiles of conicity index (C-index) and of relative fat mass (RFM)
- Outcome
- Incident T2D
Methodological detailsfollow-up study 2018–2022, multivariable-adjusted Cox proportional hazards model
- Follow-up study 2018–2022
- Multivariable-adjusted Cox proportional hazards model
Main finding
As reported in the abstract
Adjusted hazard ratio (95% CI)P value
C-index Q3vs C-index Q1
1.50(1.12–2.02)
all p < 0.05C-index Q4vs C-index Q1
1.73(1.29–2.30)
all p < 0.05RFM Q2vs RFM Q1
1.94(1.44–2.63)
all p < 0.05RFM Q3vs RFM Q1
3.18(1.79–5.64)
all p < 0.05RFM Q4vs RFM Q1
4.91(2.68–9.00)
all p < 0.05Observational data: associations, not effects.
Original publication
Association between two novel anthropometric measures and type 2 diabetes in a Chinese population. Diabetes Obes Metab. Published 24 May 2024. doi:10.
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