Table 4.
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) |
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
Full Model: controlling for age, sex, race, socioeconomic status (poverty-income ratio), smoking status, physical activity, waist circumference and fasting insulin
Two-part regression model used; reference group is the reference group used for each categorical variable
Each level of categorical variable used to provide a predicted CRP based on the model
National estimates based on complex survey design