Undernutrition and Its Correlates among Children of 3–9 Years of Age Residing in Slum Areas of Bhubaneswar, India
Table 5
Multiple logistic regression model showing association between stunting among slum children and various factors.
Independent variable
Dependent variable (wasting)
value*
Normal = reference category
Age (in years) of child
3–6
0.334
1.396
0.207
6–9R
Gender of child
Female
−0.360
0.698
0.076
MaleR
Mother’s age (in years) at birth of child
≤20
0.371
1.450
0.187
21–30
−0.471
0.624
0.173
≥30R
Mother’s education
Illiterate
1.023
2.783
0.146
Primary
1.056
2.875
0.133
Middle
0.370
1.447
0.605
High school and aboveR
Father’s education
Illiterate
0.984
2.674
0.134
Primary
0.201
1.223
0.688
Middle
−0.042
1.043
0.919
High school and aboveR
Per capita monthly income
<Rs. 2000
1.003
2.725
0.100
Rs. 2000–Rs. 4000
0.634
1.885
0.190
≥Rs. 4000R
Toilet facility
Absent
0.436
1.546
0.031
Present
Drinking water storage
Satisfactory
−0.822
0.439
0.047
UnsatisfactoryR
Note: R = reference category, = regression coefficient (log odds ratio), and = odds ratio. Model fit statistics: pseudo- squares—Cox and Snell = 0.180, Nagelkerke = 0.241, and Mcfadden = 0.145; classification table reports that the overall expected model performance is 71.1%; that is, 71.1% of the cases can be expected to be classified correctly by the model.