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Table 4 Multivariable regression analysis for predictors of interest of nutritional outcomes

From: Nutritional characterisation of low-income households of Nairobi: socioeconomic, livestock and gender considerations and predictors of malnutrition from a cross-sectional survey

Description

Categories

n

β HAZ (p-val)

β WHZ (p-val)

β Ch Hb (p-val)

β M BMIa (p-val)

β M Hbb (p-val)

Area

0 = Dagoretti; 1 = Korogocho

100/104

−0.427 (0.014)

−0.392 (0.045)

−0.239 (0.219)

−0.004 (0.893)

0.021 (0.849)

Household income

1 = <1 K

12

 

base (0.009) c

 

base (0.019)c

 
 

2 = 1 K-5 K

96

 

−0.140 (0.714)

 

−0.065 (0.226)

 
 

3 = 5 K-10 K

67

 

−0.682 (0.087)

 

−0.007 (0.899)

 
 

4 = 10 K-20 K

29

 

−0.929 (0.037)

 

0.051 (0.409)

 

HH head education

0 = None or 1ary; 1 = Secondary+

113/83

0.313 (0.076)

    

Maternal status

0 = Not married; 1 = Married

44/160

−0.427 (0.045)

    

Female livestock holding

0 = 0; 1= >0

157/47

 

0.426 (0.054)

   

Maternal age [yrs]

-

204

0.000 (0.973)

0.010 (0.479)

0.017 (0.299)

0.007 (<0.0001)

−0.002 (0.833)

Child age [months]

-

204

−0.021 (0.082)

    

Child sex

0 = Male; 1 = Female

116/88

0.332 (0.050)

    

Prematurity

0 = No; 1 = Yes

186/16

    

−0.344 (0.098)

  1. B-coefficients and p-values (p-val) are presented. Ch child, HH, household, M mother, n sample size
  2. amother’s BMI was log transformed to improve normality of distribution
  3. bmother’s Hb was transformed as (Hb^3)/1000 to improve normality of distribution
  4. coverall P-value for variable