Table V.
Proportional odds logistic regression analysis of disparity in overweight/obesity among non-pregnant women (< 20 years) by race groups.
Group | Outcome | Sample size | Observed prevalence (%) or expectation of outcome | Predicted prevalence (%) or expectation1 of outcome | Unexplained disparity (SE)2 | Percent of disparity explained3 | F value | P value |
---|---|---|---|---|---|---|---|---|
White | Overweight | 761 | 27.67% | 27.73% | 0 | |||
Obesity | 819 | 30.78% | 30.85% | 0 | ||||
Black | Overweight | 289 | 27.55% | 27.96% | 0.41% (0.019) | –222% | 0.065 | 0.80 |
Obesity | 529 | 52.08% | 34.55% | –17.53% (0.020) | 18% | 105.34 | <.0001 | |
Overall | 50.23 | <.0001 | ||||||
Score of (normal, overweight, obesity) = (1, 0.93, 1.3) | ||||||||
White | 2647 | 1.07 | 1.07 | 0 | ||||
Black | 1013 | 1.14 | 1.08 | –0.053 (0.0067) | 17% | 63.25 | <.0001 | |
Score of (normal, overweight, obesity) = (21.87, 26.79, 33.27) | ||||||||
White | 2647 | 26.74 | 26.75 | 0 | ||||
Black | 1013 | 29.16 | 27.18 | –1.98 (0.20) | 18% | 102.09 | <.0001 |
Expectation of the outcome using the predicted prevalence.
Unexplained disparity is (observed prevalence or expectation of outcome (White) –predicted prevalence or expectation of outcome using predicted prevalence (Black)).
Percent disparity explained is (1– unexplained disparity) /(observed prevalence or expectation of outcome(White) – predicted prevalence or expectation of outcome using predicted prevalence (Black))*100.