Logistic regression analysis predicting feeding behavior at first followup using the total BAPT scor

1
Logistic regression analysis predicting feeding
behavior at first follow-up using the total BAPT
score (Trimmed model)
Hosmer and Lemeshow Goodness of Fit test
?25.48, df8, p-value 0.706 Model ?286.94,
df6, p-value0.000 -2 Log Likelihood146.14,
Referent category is ever married Dependent
variable Breastfed1, Formulafed0
2
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
?24.67, df8, p-value 0.792 Model ?2104.40,
df9, p-value0.000 -2 Log Likelihood128.68 Ref
erent category is ever married Dependent
variable Breastfed1, Formula fed 0
3
Logistic regression analysis predicting feeding
behavior at second follow-up using total BAPT
score. (Trimmed model)
Hosmer and Lemeshow Goodness of Fit test
?217.19, df8, p-value 0.028 Model ?272.48,
df3, p-value0.000 -2 Log Likelihood118.21 Depen
dent variable Breastfed1, Formulafed0
4
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
?26.24, df8, p-value 0.620 Model ?285.901,
df8, p-value0.000 -2 Log Likelihood104.79 Refe
rent category is income greater than
30,000 Dependent variable Breastfed1, Formula
fed 0
5
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.