TABLE 4.
Probability of Being Overweight or Obese and Logistic Regression Modeling of the Risk Subgroups Identified From Recursive Partitioning: California Teachers Study, 1995–1996
Age, Years | Neighborhood SES | Race/Ethnicity | Terminal Node | No. | Probability of Overweight or Obese (95% CI) | OR | AORa |
---|---|---|---|---|---|---|---|
≤45 or ≥76 | 1 | 43 495 | 0.33 (0.32, 0.33) | 1.00 | 1.00 | ||
46–75 | Highest quartile | African American | 3 | 772 | 0.58 (0.54, 0.61) | 2.80 | 2.47 |
White, Hispanic API, and other | 2 | 34 737 | 0.38 (0.37, 0.38) | 1.25 | 1.18 | ||
Lower 3 quartiles | White and API | 4 | 30 549 | 0.46 (0.46, 0.47) | 1.79 | 1.64 | |
Hispanic African American, and other | 5 | 3411 | 0.59 (0.58, 0.61) | 3.03 | 2.68 |
Note. AOR = adjusted odds ratio; API = Asian and Pacific Islander; BMI = body mass index; OR = odds ratio; SES = socioeconomic status. Overweight or obese defined as BMI ≥25 kg/m2.
Adjusted for age and physical activity.