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Table 4 Full model: two-part model effects between fasting insulin and CRP among adults without diabetes

From: Association between fasting insulin and C-reactive protein among adults without diabetes using a two-part model: NHANES 2005–2010

Covariate

Logit Model

GLM Model

Combine two-part model

Predictive margins

OR

p-value

β

p-value

Predicted CRP mg/L (CI)

Age, years

1.02

.002

0.01

.015

 

 20–39

    

3.45 (3.17, 3.73)

 40–59

    

4.01 (3.70, 4.33)

 60–85

    

4.40 (3.98, 4.82)

Sex

     

 Male

Reference

 

Reference

 

3.67 (3.23, 4.11)

 Female

1.62

.046

0.96

<.001

4.09 (3.81, 4.36)

Race

     

 Non-Hispanic White

Reference

 

Reference

 

3.76 (3.45, 4.08)

 Mexican/other Hispanic

2.12

.027

0.38

.241

4.30 (3.62, 4.99)

 Non-Hispanic Black

0.83

.447

0.41

.094

4.54 (4.07, 5.01)

 Other race/multi

0.81

.528

0.11

.620

3.32 (2.87, 3.76)

Poverty-income ratio

1.01

.835

− 0.14

.004

 

 < 130 FPR

    

4.63 (4.20, 5.06)

 130–349% FPR

    

4.09 (3.77, 4.41)

 >=350% FPR

    

3.39 (3.09, 3.69)

Smoking

 Non/former smoker

Reference

   

3.71 (3.39, 4.03)

 Current smoker

1.40

.121

1.22

<.001

4.50 (3.88, 5.12)

Physical activity

 No

Reference

   

4.87 (4.39, 5.34)

 Yes

1.07

.796

− 0.52

.050

3.52 (3.21, 3.83)

Waist circumference, cm

1.13

<.001

0.07

<.001

 

 Females <=88.9 cm (35 in)

    

2.53 (2.25, 2.82)

 Females > 88.9 cm (35 in)

    

5.11 (4.75, 5.47)

 Males <=101.6 cm (40 in)

    

2.62 (2.31, 2.93)

 Males > 101.6 cm (40 in)

    

4.93 (4.28, 5.58)

Fasting Insulin, pmol/L

1.00

.307

0.01

.012

 

 < 60

    

2.94 (2.74, 3.14)

 60–119

    

4.42 (4.05, 4.79)

 ≥ 120

    

6.39 (5.28, 7.50)

  1. Mexican/other Hispanic: Mexican or other Hispanic ethnicity; Other race/multi: other race or Multiracial; CRP: C-reactive protein; OR: odds ratio; CI: confidence interval; FPR: federal poverty ratio
  2. Full Model: controlling for age, sex, race, socioeconomic status (poverty-income ratio), smoking status, physical activity, waist circumference and fasting insulin
  3. Two-part regression model used; reference group is the reference group used for each categorical variable
  4. Each level of categorical variable used to provide a predicted CRP based on the model
  5. National estimates based on complex survey design