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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