Type 2 & other diabetes

Relationship between trajectory of Chinese visceral adiposity index and risk of type 2 diabetes mellitus: Evidence from the China ‐ PAR project

Diabetes Obes MetabPublished Prospective cohort study

Authors' conclusion

Initially high and persistently elevated CVAI is significantly associated with an increased risk of T2DM, with a particular focus on women, younger people, nonsmokers and physically inactive individuals. Continuous monitoring of CVAI levels will benefit effective identification, early intervention and management of individuals at high risk of T2DM.

Study context

Population
Participants of the China-PAR prospective project; Chinese visceral adiposity index (CVAI) calculated from age, BMI, waist circumference, TG and HDL-CChina-PAR
Participants
52,394 participants
Exposure
CVAI trajectory patterns vs low-increasing CVAI
Outcome
Risk of T2DM by CVAI trajectory pattern
Methodological detailslatent mixture modelling of trajectories, logistic regression
  • Latent mixture modelling of trajectories
  • Logistic regression

Main finding

As reported in the abstract

T2DM
Each group vs low-increasingOdds ratio (95% CI)
Moderate-increasing
1.73(1.49–2.00)
Moderate high-increasing
3.48(3.01–4.03)
High-increasing
5.50(4.67–6.47)

Observational data: associations, not effects.

Further findings

OutcomeOR (95% CI)
T2DM, womenModerate-increasingvs Low-increasing3.28 (2.56–4.19)
T2DM, womenModerate high-increasingvs Low-increasing7.85 (6.09–10.13)
T2DM, womenHigh-increasingvs Low-increasing13.21 (9.98–17.49)
T2DM, menModerate-increasingvs Low-increasing1.20 (0.99–1.45)
T2DM, menModerate high-increasingvs Low-increasing2.18 (1.82–2.62)
T2DM, menHigh-increasingvs Low-increasing3.60 (2.93–4.43)

Effect modification of CVAI trajectory–T2DM association

Significant effect modification by age, smoking and physical activity
all Pinteraction <0.05

Original publication

Relationship between trajectory of Chinese visceral adiposity index and risk of type 2 diabetes mellitus: Evidence from the China ‐ PAR project. Diabetes Obes Metab. Published 19 November 2024. doi:10.1111/dom.16074

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

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