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Table 2 shows results from logistic regression models predicting obesity in 1992.
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Models significantly predicted obesity classification with maximum discriminative ability for morbid-obesity (p = 3.15×10−18).
To test the discriminative accuracy of models to predict obesity classification, ROC curves were plotted and the corresponding AUCs were calculated.
Inflammation of the gut itself plays a potential role, with early GI inflammation preceding and predicting obesity in diet-induced obesity models.
Models predicting odds of obesity were additionally adjusted for level of physical activity.
c Odds ratio (95% Confidence Interval) from logistic regression models, predicting odds of obesity at 24 months with high externalizing behavior (≥ 65) at 24 months relative to lower levels of externalizing behavior (< 65).
Finally, we evaluated clinical utility of these models on the basis of discriminative ability to predict obesity classification.
Ultimately, scientists predict, obesity will be medically treatable.
Taken in isolation, depression, anxiety, and hostility/anger have been shown to predict obesity.
It's the same method geneticists use to predict obesity, schizophrenia, and bipolar disorder in people.
Similar to DMCs, DVCs can independently predict obesity status.
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