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Table 4 Relationship between AIP and incident prediabetes in different models

From: Nonlinear relationship between atherogenic index of plasma and the risk of prediabetes: a retrospective study based on Chinese adults

Variable

Non-adjusted model (HR.,95% CI, P)

Minimally-adjusted model (HR,95% CI, P)

Fully-adjusted model (HR,95% CI, P)

GAM

(HR,95% CI, P)

AIP

2.83 (2.67, 3.00) < 0.0001

1.37 (1.28, 1.47) < 0.0001

1.41 (1.31, 1.52) < 0.0001

1.34 (1.24, 1.44) < 0.0001

AIP (quartile)

    

Q1

ref

ref

ref

1.0

Q2

1.47 (1.39, 1.56) < 0.0001

1.19 (1.12, 1.26) < 0.0001

1.18 (1.11, 1.25) < 0.0001

1.15 (1.08, 1.23) < 0.0001

Q3

1.94 (1.83, 2.05) < 0.0001

1.29 (1.22, 1.37) < 0.0001

1.28 (1.20, 1.36) < 0.0001

1.23 (1.16, 1.31) < 0.0001

Q4

2.40 (2.27, 2.53) < 0.0001

1.33 (1.25, 1.42) < 0.0001

1.34 (1.26, 1.43) < 0.0001

1.28 (1.20, 1.37) < 0.0001

P for trend

< 0.0001

< 0.0001

< 0.0001

< 0.0001

  1. Non-adjusted model: we did not adjust for other covariates
  2. Minimally-adjusted model: we adjusted for gender, age, SBP, DBP, family history of diabetes, drinking status, smoking status, and BMI
  3. Fully-adjusted model: we adjusted for gender, age, SBP, DBP, family history of diabetes, drinking status, smoking status, BMI, TC, LDL-C, AST, ALT, Scr, BUN and FPG
  4. GAM: All covariates listed in Table 1 were adjusted. However, continuous covariates were adjusted as nonlinearity
  5. HR, hazard ratios; CI, confidence interval; Ref, reference; GAM, generalized additive mode; AIP, atherogenic index of plasma
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Cardiovascular Diabetology

ISSN: 1475-2840