Skip to main content

Table 4 Results of multivariable linear regression analysis for under-five child height-for-age z-scores

From: Simultaneous quantile regression and determinants of under-five severe chronic malnutrition in Ghana

Variablesβ95% CIp-value
Child characteristics
Type of birth`
  Singleref  
  Multiple−0.640(−0.858, − 0.422)< 0.001***
Sex
  Maleref  
  Female0.136(0.046, 0.225)0.013**
Age (months)−0.019(−0.022, − 0.017)< 0.001***
Had diarrhoea
  Noref  
  Yes−0.199(− 0.337, − 0.061)0.005**
Place of delivery
  Health facilityref  
  Home−0.182(−0.290, − 0.074)0.001**
Size at birth
  Large/averageref  
 Small−0.405(− 0.527, − 0.283)< 0.001***
Maternal/Household   
Maternal age0.023(0.014, 0.031)< 0.001***
Children < 5 years−0.251(− 0.373, − 0.129)< 0.001***
Health insurance
  Had no health insuranceref  
  Had health insurance0.243(0.143, 0.343)< 0.001***
Wealth status
  Average/ richref  
  Poor−0.289(−0.394, − 0.184)< 0.001***
Maternal education
  Primary/higherref  
  No formal education−0.131(− 0.237, − 0.024)0.016***
  1. β: coefficient of parameter. CI: confidence interval. *: p-value < 0.05. **: p-value< 0.01. ***: p-value < 0.001. ref.: reference category
  2. Note: The DHS categorises the wealth index as poorest, poor, middle, richer and richest. However, in this work, we combined poorest and poorer as poor. Also, middle, richer and richest were combined as average/rich. Similar recoding was done for size at birth, place of delivery and maternal education