Research Article

Evaluation of the Association between Obesity Markers and Type 2 Diabetes: A Cohort Study Based on a Physical Examination Population

Table 3

Results of Cox proportional risk regression model analysis of the relationship between different obesity markers and the development of T2DM.

New cases/total ()Incidence density (%)Model 1Model 2Model 3

LAP
 Q1 (<4.97)27/38210.71111
 Q2 (4.97-10)36/37960.951.39 (0.85-2.29)1.2 (0.73-1.99)1.09 (0.66-1.81)
 Q3 (10-19.76)76/379522.91 (1.88-4.51)2.23 (1.42-3.48)1.78 (1.13-2.81)
 Q4 (>19.76)233/37946.148.56 (5.75-12.75)6.1 (4.02-9.25)3.94 (2.55-6.09)
for linear trend<0.001<0.001<0.001
VAI
 Q1 (<0.46)30/37990.79111
 Q2 (0.46-0.74)34/37990.890.97 (0.59-1.58)0.86 (0.52-1.4)0.78 (0.48-1.27)
 Q3 (0.74-0.1.26)88/37992.322.44 (1.61-3.7)1.94 (1.28-2.95)1.59 (1.04-2.42)
 Q4 (>1.26)220/37985.796 (4.1-8.79)4.23 (2.86-6.26)2.85 (1.91-4.25)
for linear trend<0.001<0.001<0.001
BRI
 Q1 (<2.12)27/38020.71111
 Q2 (2.12-2.65)44/38011.161.79 (1.11-2.9)1.55 (0.96-2.51)1.43 (0.88-2.32)
 Q3 (2.65-3.26)75/38021.972.99 (1.93-4.64)2.26 (1.44-3.53)1.8 (1.14-2.83)
 Q4 (>3.26)226/38015.959.59 (6.43-14.29)6.77 (4.49-10.2)4.5 (2.93-6.91)
for linear trend<0.001<0.001<0.001
BMI
 Q1 (<19.99)26/38030.68111
 Q2 (19.99-21.86)50/38001.321.87 (1.16-3)1.59 (0.99-2.56)1.44 (0.89-2.32)
 Q3 (21.86-23.97)87/38022.293.22 (2.08-4.99)2.42 (1.55-3.79)2 (1.27-3.15)
 Q4 (>23.97)209/38015.57.93 (5.28-11.92)5.92 (3.89-9.01)3.87 (2.49-6.01)
for linear trend
WHtR
 Q1 (<0.42)27/38020.71111
 Q2 (0.42-0.46)44/38011.161.79 (1.11-2.9)1.55 (0.96-2.51)1.43 (0.88-2.32)
 Q3 (0.46-0.49)75/38021.972.99 (1.93-4.64)2.26 (1.44-3.53)1.8 (1.14-2.83)
 Q4 (>0.49)226/38015.959.59 (6.43-14.29)6.77 (4.49-10.2)4.5 (2.93-6.91)
for linear trend<0.001<0.001<0.001

Model 1: unadjusted; Model 2: adjusted for age, sex, smoke, and alcohol; Model 3: adjusted for model 2 plus ALT, AST, GGT, SBP, and DBP. .