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Table 4 Odds Ratio from multilevel generalized linear regression to stunting status of children in Bangladesh, BDHS-2014

From: Correlates of stunting among under-five children in Bangladesh: a multilevel approach

Variable

Odds Ratio (95% Confidence Interval)

Model 1a

Model 2b

Model 3 c

Age in months

  < 6 (RC)

1.00

1.00

1.00

 6–11

1.94 (1.27–2.97)

1.89 (1.52–2.35)

1.94 (1.27–2.96)

 12–23

5.08 (3.75–6.90)

4.91 (3.82–6.32)

5.09 (3.76–6.88)

 24–35

5.87 (4.15–8.28)

5.72 (5.44–6.02)

5.88 (4.16–8.31)

 36–47

6.71 (4.47–10.07)

6.55 (5.96–7.20)

6.71 (4.46–10.10)

 48–59

4.47 (3.07–6.51)

4.40 (4.33–4.47)

4.48 (3.08–6.53)

Sex of child

 Male (RC)

1.00

1.00

1.00

 Female

0.89 (0.78–1.02)

0.89 (0.85–0.93)

0.89 (0.78–1.02)

Preceding birth interval (months)

 First birth (RC)

1.00

1.00

1.00

  < 24

1.36 (1.11–1.67)

1.47 (1.22–1.77)

1.36 (1.11–1.67)

 24–47

1.15 (0.96–1.39)

1.25 (1.14–1.38)

1.16 (0.96–1.40)

 48+

0.88 (0.77–1.02)

0.88 (0.83–0.93)

0.89 (0.77–1.02)

Age of mothers at 1st birth (years)

  < 20 (RC)

1.00

1.00

1.00

 20–30

0.87 (0.77–0.98)

0.90 (0.77–1.06)

0.87 (0.76–0.98)

 31 +

0.88 (0.48–1.59)

0.90 (0.53–1.53)

0.87 (0.49–1.56)

Mother’s BMI

 Underweight (RC)

1.00

1.00

1.00

 Normal

0.84 (0.77–0.93)

0.83 (0.78–0.89)

0.84 (0.76–0.93)

 Overweight

0.62 (0.51–0.76)

0.60 (0.54–0.67)

0.62 (0.51–0.76)

 Obese

0.65 (0.46–0.93)

0.60 (0.49–0.73)

0.65 (0.46–0.92)

Mother’s educational level

 No education (RC)

1.00

1.00

1.00

 Primary

0.96 (0.73–1.26)

0.93 (0.90–0.97)

0.96 (0.73–1.26)

 Secondary

0.76 (0.60–0.96)

0.71 (0.61–0.83)

0.76 (0.61–0.96)

 Higher

0.71 (0.52–0.97)

0.64 (0.39–1.03)

0.71 (0.53–0.97)

Mother’s employment status

 No (RC)

1.00

1.00

1.00

 Yes

1.1 (0.99–1.24)

1.03 (0.89–1.18)

1.10 (0.98–1.23)

Father’s education level

 No education (RC)

1.00

1.00

1.00

 Primary

0.85 (0.74–0.97)

0.85 (0.85–0.85)

0.85 (0.75–0.97)

 Secondary

0.69 (0.58–0.82)

0.68 (0.57–0.79)

0.70 (0.59–0.82)

 Higher

0.61 (0.52–0.70)

0.59 (0.51–0.68)

0.61 (0.53–0.70)

Father’s occupation

 Professional (RC)

1.00

1.00

1.00

 Sales

1.04 (0.86–1.25)

1.02 (0.86–1.22)

1.03 (0.86–1.24)

 Agricultural – self employ

1.06 (0.79–1.43)

1.03 (0.99–1.07)

1.06 (0.79–1.42)

 Agricultural - employ

1.04 (0.79–1.37)

1.02 (0.94–1.11)

1.04 (0.79–1.36)

 Services

1.22 (0.98–1.53)

1.24 (0.93–1.66)

1.22 (0.97–1.52)

 Skilled manual

1.1 (0.82–1.46)

1.08 (0.84–1.39)

1.09 (0.82–1.45)

 Household and domestic

0.72 (0.51–1.02)

0.81 (0.74–0.89)

0.72 (0.50–1.03)

 Don’t work

1.16 (0.55–2.43)

1.23 (1.09–1.38)

1.16 (0.55–2.43)

Wealth index

 Poorest (RC)

1.00

1.00

1.00

 Poorer

0.79 (0.63–0.99)

0.80 (0.78–0.82)

0.79 (0.63–0.99)

 Middle

0.77 (0.70–0.84)

0.78 (0.74–0.82)

0.77 (0.69–0.85)

 Richer

0.63 (0.49–0.82)

0.64 (0.41–1.00)

0.62 (0.47–0.82)

 Richest

0.43 (0.32–0.57)

0.45 (0.31–0.65)

0.42 (0.31–0.57)

 No. of observation

6900

6900

6900

 AIC

8191.249

8243.575

8190.982

 BIC

8464.82

8517.146

8471.393

Intraclass Correlation Coefficient (ICC)

 Division

0.0166945

 

0.0146549

 Residence

 

0.0004238

0.0187098

Median Odds Ratio (MOR)

 Division

1.252

 

1.234

 Residence

 

1.036

1.117

Random-effects Parameters Estimate (95% CI)

 Residence

 

0.04 (0.00–0.57)

0.12 (0.04–0.33)

 Division

0.24 (0.13–0.42)

 

0.22 (0.11–0.44)

 P-value

< 0.001

1.00

< 0.001

  1. RC stands for ‘reference category’
  2. aModel 1: two level generalized linear regression considering division as second level hierarchical factor
  3. bModel 2: two level generalized linear regression considering residential status as second level hierarchical factor
  4. cModel 3: three level generalized linear regression considering residential status as third level and division as second level hierarchical factors