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Table 2 Estimated regression coefficients of binary logistic regression model (BlogM) for child malnutrition status defined as height-for-age Z-score less than −2.00, the corresponding odds ratios (ORs), and adjusted predicted proportion (APP) of malnourished children from nominal-scale multiple classification analysis (NS-MCA) model, BDHS 2011

From: On exploring and ranking risk factors of child malnutrition in Bangladesh using multiple classification analysis

Background Characteristics

Estimated regression coefficient of BlogM and OR

Predicted proportion from NS-MCA

Β

OR

APP

Childs age in months (Reference Category: <12)

<12

  

20.83

12–23

1.406

4.081***

48.89

24–35

1.314

3.722***

46.78

36–47

1.284

3.610***

46.13

48–59

1.027

2.792***

40.42

Childs birth weight (Reference Category: Large)

Large

  

33.61

Average

0.318

1.374**

39.95

Small

0.753

2.123***

49.47

Birth interval in months (Reference Category: 48+)

<24

0.383

1.467***

47.35

24–47

0.208

1.231**

43.47

48+

  

38.90

Mothers education (Reference Category: Higher)

Illiterate

0.642

1.900***

44.23

Primary

0.592

1.807***

42.92

Secondary

0.418

1.519***

39.08

Higher

  

32.10

Mothers BMI(kg/m2) (Reference Category: 18.5–24.99)

<18.5

0.270

1.310***

45.91

18.5–24.99

  

39.81

25+

−0.346

0.708***

33.19

Household economic status (Reference Category: Richest)

Poorest

1.109

3.031***

51.26

Poorer

0.869

2.385***

45.68

Middle

0.673

1.961***

41.20

Richer

0.451

1.570***

36.48

Richest

  

27.71

Family size (number of members) (Reference Category: Middle)

Small (<4)

0.173

1.189*

42.58

Middle (4–6)

  

39.00

Large (7+)

0.177

1.194**

42.80

Place of residence (Reference Category: Urban)

Urban

  

42.84

Rural

−0.153

0.858*

39.71

Region (Division) (Reference Category: Barisal)

Barisal

  

41.29

Chittagong

0.011

1.011

41.54

Dhaka

0.108

1.114

43.65

Khulna

−0.198

0.820

37.34

Rajshahi

−0.400

0.671***

33.12

Rangpur

−0.057

0.944

40.12

Sylhet

0.158

1.171

44.60

Goodness-of-fit

H-L test: \( {\chi}_{(8)}^2 \)=10.090; p-value: 0.259

F 26,7620  = 41.329; p-value < 0.001

Omnibus test: \( {\chi}_{(26)}^2 \)=1025.05; p-value < 0.001

R2 value

0.125

0.124

  1. *** P < 0.001; ** P < 0.01; * <0.05