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Table 3 Comparison of children by conflict exposure status

From: Exposure to conflict and child health outcomes: evidence from a large multi-country study

 

(1)

(2)

(3)

(4)

(5)

No conflict (Conflict1 = 0)

With conflict (Conflict1 = 1)

Difference between 2 groups

Mean

Std. Dev

Mean

Std. Dev

 

HAZ

− 1.236

1.542

− 1.372

1.592

0.136***

WAZ

− 0.672

1.237

− 0.973

1.259

0.302***

Stunting (HAZ < − 2)

0.307

0.461

0.349

0.477

− 0.042***

Underweight (WAZ < − 2)

0.133

0.340

0.201

0.401

− 0.068***

Immunization (received full set of 8 recommended vaccines)

0.473

0.499

0.424

0.494

0.049***

Child's age (months)

27.840

17.198

30.941

16.963

− 3.101***

Child is male

0.505

0.500

0.505

0.500

0

Child is multiple birth

0.026

0.158

0.022

0.148

0.003***

Birth order number

2.710

1.198

2.685

1.203

0.024***

Mother's age (years)

29.133

6.796

28.964

6.707

0.169***

Mother's height (cm)

156.863

7.215

156.331

7.081

0.532***

Mother’s age at 1st birth

19.765

3.900

19.621

4.010

0.144***

Mother’s age at 1st cohabitation

19.078

4.032

18.618

4.172

0.460***

Mother is using contraception

0.431

0.495

0.407

0.491

0.023***

Mother’s education: primary

0.345

0.475

0.286

0.452

0.059***

Mother’s education: secondary

0.277

0.447

0.290

0.454

− 0.013***

Mother’s education: higher secondary

0.074

0.261

0.070

0.256

0.003***

Household head's age (years)

40.828

13.269

40.512

12.955

0.315***

Male household head

0.836

0.370

0.858

0.349

− 0.022***

Household size

6.847

3.765

6.668

3.345

0.179***

Rural

0.654

0.476

0.638

0.481

0.016***

Piped water

0.387

0.487

0.306

0.461

0.081***

Flush toilet

0.268

0.443

0.271

0.445

− 0.003*

Wealth: poorer quintile

0.229

0.420

0.214

0.410

0.014***

Wealth: middle quintile

0.209

0.406

0.190

0.392

0.019***

Wealth: richer quintile

0.175

0.380

0.179

0.384

− 0.004***

Wealth: richest quintile

0.134

0.341

0.172

0.377

− 0.037***

Observations

349,656

 

240,832

 

590,488

  1. t-test is used to test if there is no difference between the two groups. p < 0.1, ** p < 0.05, *** p < 0.01