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Table 2 The frequency of unhealthy food consumption by age group, breastfeeding status and region of residence in children under 1 year of age in the Brazilian capitals and the Federal District, 2008

From: The consumption of unhealthy foods by Brazilian children is influenced by their mother’s educational level

 

Processed juice

Sodas

Coffee

Cookie/Salted Snacks

Sugar/Honey

 
 

n

%

n

%

n

%

n

%

n

%

Age group

p = 0.0001

 

p = 0.0006

 

p = 0.0001

 

p = 0.0001

 

p = 0.0001

 

0 to 5.9 m

289

1.6

70

0.8

96

0.5

867

4.7

2638

14.3

6 to 12 m

1797

11.8

1261

8.2

1040

6.8

8981

59

7609

49.9

Breastfeeding status

p = 0.0001

 

p = 0.0001

 

p = 0.0001

 

p = 0.0001

 

p = 0.0001

 

Yes

1341

5.1

910

3.5

769

2.9

6343

24.3

6498

24.8

No

727

10.0

405

5.6

359

4.9

3432

47.4

3665

50.4

Child’ sex

p = 0.9044

 

p = 0.8937

 

p = 0.2215

 

p = 0.0498

 

p = 0.3043

 

Female

1030

6.1

654

3.9

543

3.2

5001

29.9

4961

29.7

Male

1056

6.2

677

4.0

593

3.5

4847

28.6

5286

31.1

Mothers’ age

p = 0.7193

 

p = 0.0008

 

p = 0.0034

 

p = 0.7381

 

p = 0.0165

 

<20 years

341

6.8

259

5.2

228

4.6

1408

28.3

1571

31.5

20 to 35 years

1233

5.8

775

3.7

660

3.1

5934

28.2

6103

28.9

≥35 years

138

4.4

87

2.79

68

2.2

821

26.5

809

26.0

Maternal work

p = 0.0237

 

p = 0.0001

 

p = 0.0001

 

p = 0.0001

 

p = 0.0001

 

Outside the home

428

7.5

228

4.0

193

3.4

2095

37.0

2020

35.6

Not working/Maternity license

1237

5.6

854

3.8

732

3.3

5770

26.0

6057

27.3

Maternal education level

p = 0.0003

 

p = 0.0001

 

p = 0.0001

 

p = 0.0001

 

p = 0.0001

 

No schooling

65

10.4

38

6.0

39

6.2

215

34.3

245

38.9

Elementary school

702

6.5

539

5.0

483

4.5

3218

30.2

3460

32.4

High school

769

5.5

459

3.3

385

2.8

3794

27.5

3950

28.5

College

208

4.9

96

2.3

64

1.5

1028

24.4

934

22.1

Region of residence

p = 0.0001

 

p = 0.2944

 

p = 0.061

 

p = 0.0001

 

p = 0.0001

 

North

633

8.0

485

6.1

387

4.9

1904

24.3

2444

31.0

Northeast

409

3.4

229

1.9

276

2.3

3432

29.0

4052

34.2

Midwest

369

8.2

200

4.4

156

3.5

1422

31.7

1177

26.2

Southeast

421

6.7

275

4.3

176

2.8

2022

32.2

1686

26.7

South

254

7.9

142

4.4

141

4.4

1068

33.3

888

27.7