Table 2.
Logistic regression models predicting cardiometabolic risk (N=346).
| Variable | Model 1a | Model 2b, e | Model 3c, e | |||
|---|---|---|---|---|---|---|
| OR | 95% CI | aORd | 95% CI | aORd | 95% CI | |
| MVPA (continuous; hrs/week) | 0.90 | 0.80, 1.00 | 0.90 | 0.80, 1.02 | -- | -- |
| MVPA (category) | ||||||
| <150 min/week (n=51) | REF | REF | ||||
| 150–300 min/week (n=132) | 0.41 | 0.20, 0.88 | --- | --- | 0.34 | 0.16, 0.75 |
| >300 min/week (n=163) | 0.42 | 0.20, 0.86 | 0.39 | 0.18, 0.86 | ||
| Sedentary Time (hrs/week) | 1.18 | 0.96, 1.46 | 1.10 | 0.88, 1.37 | 1.14 | 0.91, 1.44 |
| Race/Ethnicity | ||||||
| Non-Hispanic White (n=168) | REF | REF | REF | |||
| Non-White (n=137) | 2.08 | 1.16, 3.74 | 1.96 | 1.06, 3.61 | 2.01 | 1.08, 3.72 |
| Unknown (n=41) | 1.08 | 0.41, 2.86 | 1.02 | 0.38, 2.78 | 0.90 | 0.32, 2.48 |
| Sex | ||||||
| Female (n=269) | REF | REF | REF | |||
| Male (n=77) | 1.37 | 0.74, 2.57 | 1.74 | 0.90, 3.38 | 1.74 | 0.89, 3.42 |
| Regular smokere | ||||||
| No (n=320) | REF | REF | REF | |||
| Yes (n=23) | 0.40 | 0.09, 1.78 | 0.39 | 0.09, 1.76 | 0.36 | 0.08, 1.67 |
a
Model 1: Unadjusted; each predictor entered into a separate model
b
Model 2: All covariates entered simultaneously; MVPA entered as a continuous variable
c
Model 3: All covariates entered simultaneously; MVPA entered as a categorical variable
d
aOR: adjusted odds ratio
e
n=343 because of 3 participants with missing smoking history