Risk factors for malnutrition among school-aged children: a cross-sectional study in rural Madagascar

BMC Public Health

Table 4 Logistic regressions on being malnourished with background variables

Logistic regression model	Adjusted OR	95% CI	P-value
Logistic regression on being stunted^a
v₅: Seller, trader or commercial business (dummy variable for ‘Major income sources’)	2.173	1.120–4.219	0.022*
v₄₃: Milk and milk products (dummy variable for ‘Food consumption during last 24 h’)	0.671	0.309–1.458	0.313
v₄₅: Sweets (dummy variable for ‘Food consumption during last 24 h’)	0.616	0.382–0.994	0.047*
v₄₇: Age [year]	1.392	1.164–1.664	< 0.001**
v₄₈: Total number of household members [person]	1.172	1.031–1.333	0.015*
Logistic regression on being underweight^b
v₅: Seller, trader or commercial business (dummy variable for ‘Major income sources’)	2.654	1.339–5.261	0.005**
v₂₅: Plastic bag (dummy variable for ‘Rice storage’)	1.923	0.962–3.844	0.064
v₃₉: Meats (dummy variable for ‘Food consumption during last 24 h’)	0.711	0.410–1.233	0.224
v₄₃: Milk and milk products (dummy variable for ‘Food consumption during last 24 h’)	0.725	0.321–1.634	0.437
v₄₇: Age [year]	1.474	1.189–1.827	< 0.001**
v₄₈: Total number of household members [person]	1.189	1.043–1.356	0.010*
v₅₁: Household dietary diversity score (HDDS) [pt]	0.832	0.701–0.993	0.043*
Logistic regression on being thin^c
v₃₀: In open-space without cleaning (dummy variable for ‘Utensil maintenance’)	0.298	0.069–1.284	0.104
v₄₇: Age [year]	1.348	1.092–1.663	0.005**
v₄₈: Total number of household members [person]	1.240	1.038–1.481	0.018*

ISSN: 1471-2458