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Table 5 Estimated contributions of key stunting predictors to urban poor and non-poor gap in average HAZ (OLS estimates), pooled urban sample (2000-2018)

From: Understanding urban inequalities in children’s linear growth outcomes: a trend and decomposition analysis of 39,049 children in Bangladesh (2000-2018)

Key stunting predictors

1

(N=12198)

2

(N=12198)

3

(N=10252)

4

(N=10233)

5

(N=10231)

6

(N=10217)

7

(N=10201)

8

(N=10194)

9

(N=10099)

10

(N=9426)

11

(N=9426)

12

(N=9426)

Variable’s estimated association with HAZ (95% CI)

Child’s sex

 (Female)

--

0.01

(-0.04,0.06)

0.06**

(0.01,0.11)

0.06**

(0.02,0.11)

0.06*

(0.01,0.11)

0.06*

(0.01,0.10)

0.06*

(0.01,0.10)

0.06*

(0.01,0.10)

0.06*

(0.01,0.10)

0.05*

(0.00,0.10)

0.05*

(0.00,0.10)

0.05*

(0.00,0.10)

Child’s age

 (12-23 months)

 (24-59 months)

--

-0.71***

(-0.79,-0.63)

-0.78***

(-0.85,-0.71)

-0.72***

(-0.80,-0.64)

-0.79***

(-0.86,-0.71)

-0.71***

(-0.79,-0.63)

-0.79***

(-0.86,-0.72)

-0.71***

(-0.79,-0.63)

-0.78***

(-0.85,-0.71)

-0.70***

(-0.78,-0.62)

-0.80***

(-0.88,-0.73)

-0.71***

(-0.79,-0.63)

-0.82***

(-0.89,-0.75)

-0.71***

(-0.78,-0.63)

-0.81***

(-0.88,-0.74)

-0.71***

(-0.79,-0.63)

-0.82***

(-0.89,-0.75)

-0.71***

(-0.79,-0.63)

-0.81***

(-0.88,-0.74)

-0.71***

(-0.79,-0.63)

-0.81***

(-0.88,-0.74)

-0.71***

(-0.79,-0.63)

-0.81***

(-0.88,-0.74)

Health service use

 Child’s place of delivery (at home)

--

--

-0.50***

(-0.56,-0.44)

-0.48***

(-0.54,-0.42)

-0.36***

(-0.42,-0.30)

-0.29***

(-0.35,-0.23)

-0.28***

(-0.33,-0.22)

-0.26***

(-0.31,-0.20)

-0.26***

(-0.31,-0.20)

-0.24***

(-0.30,-0.18)

-0.23***

(-0.30,-0.17)

-0.21***

(-0.27,-0.15)

 Child’s vaccination

 (not vaccinated)

--

--

--

-0.33***

(-0.42,-0.25)

-0.27***

(-0.36,-0.19)

-0.25***

(-0.34,-0.17)

-0.23***

(-0.32,-0.15)

-0.23***

(-0.31,-0.14)

-0.23***

(-0.31,-0.14)

-0.25***

(-0.33,-0.17)

-0.25***

(-0.33,-0.16)

-0.24***

(-0.32,-0.15)

Maternal education

 (no/primary)

--

--

--

--

-0.40***

(-0.46,-0.34)

-0.37***

(-0.43,-0.31)

-0.28***

(-0.34,-0.22)

0.24***

(-0.30,-0.18)

0.25***

(-0.31,-0.19)

0.24***

(-0.30,-0.18)

0.24***

(-0.30,-0.18)

0.21***

(-0.28,-0.15)

Maternal nutrition

 BMI:

  (underweight)

  (overweight)

--

--

--

--

--

-0.28***

(-0.34,-0.21)

0.28***

(0.21,0.35)

-0.30***

(-0.36,-0.24)

0.26***

(0.19,0.33)

-0.30***

(-0.36,-0.23)

0.26***

(0.19,0.33)

-0.29***

(-0.35,-0.23)

0.25***

(0.18,0.32)

-0.28***

(-0.34,-0.22)

0.26***

(0.19,0.33)

-0.28***

(-0.35,-0.22)

0.26***

(0.19,0.33)

-0.27***

(-0.34,-0.21)

0.23***

(0.16,0.31)

 Stature:

  (short: 145 to <155cm)

  (very short: <145 cm)

--

--

--

--

--

--

-0.52***

(-0.57,-0.45)

-1.02***

(-1.10,-0.93)

-0.51***

(-0.57,-0.45)

-1.02***

(-1.10,-0.93)

-0.51***

(-0.57,-0.45)

-1.02***

(-1.10,-0.94)

-0.50***

(-0.56,-0.44)

-1.02***

(-1.11,-0.93)

-0.50***

(-0.56,-0.44)

-1.02***

(-1.11,-0.93)

-0.50***

(-0.56,-0.44)

-1.02***

(-1.10,-0.93)

Mat. reproductive background

 Age at first child’s birth (≤17 years)

 No. children living with mother (≥4)

--

--

--

--

--

--

--

-0.09***

(-0.14,-0.03)

-0.08**

(-0.13,-0.03)

-0.08**

(-0.13,-0.02)

-0.08**

(-0.14,-0.03)

-0.07**

(-0.13,-0.02)

--

--

--

--

--

--

--

-0.15***

(-0.23,-0.06)

-0.14**

(-0.23,-0.05)

-0.15**

(-0.24,-0.06)

-0.14**

(-0.23,-0.05)

-0.14**

(-0.23,-0.05)

Mat. autonomy & media exposure

 Media exposure (not at all)

 Autonomy level (average-high)

--

--

--

--

--

--

--

--

0.01

(-0.07,0.09)

-0.01

(-0.09,0.07)

-0.01

(-0.09,0.07)

0.03

(0.06,0.11)

--

--

--

--

--

--

--

--

0.07**

(0.02,0.13)

0.07**

(0.02,0.13)

0.07**

(0.02,0.13)

0.07*

(0.01,0.13)

Household WASH

 Toilet type (non-improved)

 Drinking water source (non-improved)

--

--

--

--

--

--

--

--

--

-0.07*

(-0.13,-0.01)

-0.06^

(-0.13,0.01)

-0.03

(-0.09,0.04)

--

--

--

--

--

--

--

--

--

0.21^

(-0.03,0.44)

0.21^

(-0.03,0.45)

0.22^

(-0.01,0.45)

Household Division

 Chittagong

 Others

--

--

--

--

--

--

--

--

--

--

-0.06

(0.15,0.04)

0.07^

(0.01,0.14)

-0.04

(-0.14,0.06)

0.10*

(0.02,0.17)

Household SES

 Household size (≥7 members)

 Household wealth

  (Poorer)

  (Middle)

  (Richer)

  (Richest)

--

--

--

--

--

--

--

--

--

--

--

--

--

--

--

--

--

--

--

--

--

--

0.00

(-0.07,0.06)

0.16**(0.04,0.28)

0.19**(0.06,0.31)

0.17^(-0.00,0.35)

0.37***(0.19,0.57)

Predicted average HAZ gap (95% CI)

-0.63***

(-0.70,-0.56)

-0.64***

(-0.71,-0.58)

-0.47***

(-0.54,-0.41)

-0.46***

(-0.53,-0.39)

-0.35***

(-0.42,-0.28)

-0.28***

(-0.35,-0.22)

-0.26***

(-0.32,-0.19)

-0.25***

(-0.31,-0.18)

-0.25***

(-0.32,-0.18)

-0.23***

(-0.30,-0.15)

-0.24***

(-0.31,-0.17)

-0.10^

(-0.24,0.04)

Variables’ contribution to average HAZ gap

100%

+1.6%

-27.0%

-1.6%

-17.5%

-11.1%

-3.2%

-1.6%

0.0%

-3.2%

+1.6%

-22.2%

Total remaining gap

 

101.6%

74.6%

73.0%

55.5%

44.4%

41.2%

39.6%

39.6%

36.4%

38%

15.8%

  1. Notes: HAZ: height-for-age z-score; OLS: Ordinary Least Squares; N: total number of observations in pooled urban sample after adjusting for covariates in respective columns; model accounts for survey year fixed effects and standard errors clustered at the survey-cluster level; ^p ≤0.1; *p ≤0.05; ** p ≤0.01; *** p ≤0.001
  2. Columns show incremental adjustments for key stunting determinants identified from stepwise selection with 5% significance and resulting changes in predicted average HAZ gap: Column 1 shows unadjusted predicted average HAZ gap by urban poverty status; column 2 additionally adjusts for child’s demographics (sex and age); columns 3-4 additionally adjusts for health service use (child’s place of delivery and vaccination status); column 5 additionally adjusts for maternal education; columns 6-7 additionally adjust for maternal nutrition (BMI and stature); column 8 additionally adjusts for maternal reproductive background (age at first child’s birth and number of children); column 9 additionally adjusts for mother’s level of autonomy and media exposure; column 10 additionally adjusts for household water and sanitation; column 11 additionally adjusts for household divisional location; and column 12 additionally adjusts for household size and wealth