Table 2.

Results of multivariable simultaneous quantile regression analysis for under-five child severe stunting

Variables	Quantile = 0.1			Quantile = 0.2
	β	95% CI	p-value	β	95% CI	p-value
Child characteristics
Type of birth
Single	ref			ref
Multiple	−0.849	(−1.202, − 0.53)	< 0.001***	− 0.847	(− 1.044, − 0.55)	< 0.001***
Sex
Male	ref			ref
Female	0.172	(0.052, 0.267)	0.013*	0.153	(0.062, 0.227)	0.01*
Age (months)	−0.015	(− 0.021, − 0.009)	< 0.001***	− 0.015	(− 0.018, − 0.011)	< 0.001***
Had diarrhoea
No	ref			ref
Yes	−0.149	(− 0.345, − 0.029)	0.196	− 0.16	(− 0.353, − 0.012)	0.08
Place of delivery
Health facility	ref			ref
Home	−0.199	(− 0.358, − 0.046)	0.02*	−0.179	(− 0.298, − 0.096)	0.007**
Size at birth
Large/average	ref			ref
Small	−0.339	(− 0.537, − 0.18)	< 0.001***	−0.373	(− 0.485, − 0.269)	< 0.001***
Maternal/Household
Maternal age	0.016	(0.006, 0.027)	0.021*	0.024	(0.016, 0.033)	< 0.001***
Children < 5 years	− 0.192	(− 0.352, − 0.034)	0.038*	−0.224	(− 0.343, − 0.13)	0.005**
Health insurance
Had no health insurance	ref			ref
Had health insurance	0.237	(0.131, 0.386)	0.002**	0.304	(0.21, 0.388)	< 0.001***
Wealth status
Average/ rich	ref			ref
Poor	−0.259	(−0.398, −0.12)	0.001**	−0.281	(− 0.371, − 0.183)	< 0.001***
Maternal education
Primary/higher	ref			ref
No formal education	−0.358	(− 0.556, − 0.223)	< 0.001***	−0.256	(− 0.349, − 0.124)	0.001**

β: coefficient of parameter. CI: confidence interval. *: p-value < 0.05. **: p-value< 0.01. ***: p-value < 0.001. ref.: reference category

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