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Table 2 Relationship between BMI and incident diabetes

From: Lipids as potential mediators linking body mass index to diabetes: evidence from a mediation analysis based on the NAGALA cohort

 

HR (95%CI)

P-value

Model 1

1.250 (1.215, 1.286)

< 0.001

Model 2

1.153(1.115, 1.193)

< 0.001

Model 3

1.096 (1.057, 1.135)

< 0.001

Model 4

1.097 (1.059, 1.137)

< 0.001

Model 5

1.093 (1.054, 1.133)

< 0.001

Model 6

1.088(1.049, 1.128)

< 0.001

Model 7

1.096(1.058, 1.136)

< 0.001

Model 8

1.096 (1.057, 1.136)

< 0.001

Model 9

1.093 (1.054, 1.133)

< 0.001

Model 10

1.089 (1.050, 1.129)

< 0.001

Model 11

1.091 (1.053, 1.131)

< 0.001

Model 12

1.089 (1.051, 1.130)

< 0.001

Model 13

1.089 (1.050, 1.129)

< 0.001

Model 14

1.088 (1.049, 1.129)

< 0.001

  1. Abbreviations: HR: Hazard ratios; CI: confidence interval; other abbreviations as in Table ​1
  2. Model 1 adjusted sex, age, height, SBP
  3. Model 2 adjusted model 1 + Fatty liver, habit of exercise, smoking status and drinking status
  4. Model 3 adjusted model 2 + ALT, AST, GGT, FPG and HbA1c
  5. Model 4 adjusted model 3 + TC; Model 5 adjusted model 3 + TG; Model 6 adjusted model 3 + HDL-C; Model 7 adjusted model 3 + LDL-C; Model 8 adjusted model 3 + Non-HDL-C; Model 9 adjusted model 3 + RC; Model 10 adjusted model 3 + TC/HDL-C ratio; Model 11 adjusted model 3 + TG/HDL-C ratio; Model 12 adjusted model 3 + LDL/HDL-C ratio; Model 13 adjusted model 3 + non-HDL/HDL-C ratio; Model 14 adjusted model 3 + RC/HDL-C ratio
  6. Models 4–14 show the correlation between BMI and diabetes when lipid parameters are included in the regression model