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
6–9^R
Gender of child
Female	−0.360	0.698	0.076
Male^R
Mother’s age (in years) at birth of child
≤20	0.371	1.450	0.187
21–30	−0.471	0.624	0.173
≥30^R
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 above^R
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 above^R
Per capita monthly income
<Rs. 2000	1.003	2.725	0.100
Rs. 2000–Rs. 4000	0.634	1.885	0.190
≥Rs. 4000^R
Toilet facility
Absent	0.436	1.546	0.031
Present
Drinking water storage
Satisfactory	−0.822	0.439	0.047
Unsatisfactory^R

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.