Logistic regression analysis predicting feeding behavior at first follow- up using the total BAPT score (Trimmed model) Hosmer and Lemeshow Goodness of.

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Logistic regression analysis predicting feeding behavior at first follow- up using the total BAPT score (Trimmed model) Hosmer and Lemeshow Goodness of Fit test:  2 =5.48, df=8, p-value Model :  2 =86.94, df=6, p-value= Log Likelihood=146.14, **Referent category is ever married Dependent variable: Breastfed=1, Formulafed=0

Logistic regression analysis predicting feeding behavior at first follow-up using the significant demographic variables and the four subscale scores.(Trimmed model) Hosmer and Lemeshow Goodness of Fit test:  2 =4.67, df=8, p-value Model :  2 =104.40, df=9, p-value= Log Likelihood= **Referent category is ever married Dependent variable: Breastfed=1, Formula fed =0

Hosmer and Lemeshow Goodness of Fit test:  2 =17.19, df=8, p-value Model :  2 =72.48, df=3, p-value= Log Likelihood= Dependent variable: Breastfed=1, Formulafed=0 Logistic regression analysis predicting feeding behavior at second follow-up using total BAPT score. (Trimmed model)

Logistic regression analysis predicting feeding behavior at second follow-up using the significant demographic variables and the four subscale scores. (Trimmed model) Hosmer and Lemeshow Goodness of Fit test:  2 =6.24, df=8, p-value Model  2 =85.901, df=8, p-value= Log Likelihood= *Referent category is income greater than $30,000 Dependent variable: Breastfed=1, Formula fed =0

Using the Breastfeeding Attrition Prediction Tool to predict breastfeeding behavior in African- American women Manorama M. Khare*, PhD, MS, Noel Chàvez, PhD, RD, LD, Timothy Johnson, PhD.