Table 3 Estimates of parameters of the logistic regression model to determine factors affecting malnutrition (wasting)

Age groups (in months)

<6

.610

.127

22.940

1

.000

1.840

6–8

.192

.159

1.468

1

.226

1.212

9–11

.446

.145

9.512

1

.002

1.562

12–17

.274

.122

5.022

1

.025

1.315

18–23

–.133

.137

.932

1

.334

.876

24–35

–.050

.111

.202

1

.653

.951

36–47

–.172

.115

2.242

1

.134

.842

48–59 (r)

Sex

Male

.124

.067

3.416

1

.065

1.133

Female (r)

Place of residence

Urban

–.069

.092

.568

1

.451

.933

Rural (r)

Division

Barisal

.539

.173

9.735

1

.002

1.714

Chittagong

.417

.137

9.202

1

.002

1.517

Dhaka

.040

.133

.091

1

.763

1.041

Khulna

.257

.171

2.255

1

.133

1.294

Rajshahi

.443

.154

8.288

1

.004

1.557

Rangpur

.415

.155

7.175

1

.007

1.514

Sylhet (r)

Religion

Muslim

.217

.128

2.963

1

.091

1.243

Others (r)

Mother’s Education

Primary or below

.019

.079

.061

1

.805

1.020

Secondary or Higher (r)

Father’s Occupation

Physical labor

.264

.288

1.342

1

.247

1.303

Service/business

.342

.233

2.145

1

.143

1.408

Others (r)

Mother’s Occupation

Physical labor

.189

.080

5.610

1

.018

1.208

Service/business

.105

.175

.358

1

.550

1.110

Others (r)

Mother’s BMI (weight/height²)

Under weight

.763

.123

38.815

1

.000

2.145

Normal weight

.487

.109

20.035

1

.000

1.627

Over weight/Obese (r)

Wealth index

Poorest

.083

.137

.371

1

.543

1.087

Poorer

.052

.132

.159

1

.690

1.054

Middle

–.192

.127

2.298

1

.130

.825

Richer

–.060

.119

.255

1

.614

.942

Richest (r)

Toilet Facility

Hygienic

.050

.095

.269

1

.604

1.051

Unhygienic (r)

No. of Living Children

1–2

.048

.079

.369

1

.543

1.049

3–11 (r)