Skip to main content

Table 2 Prevalence of overweight/obesity of children aged 6–12 years.

From: The relationship between socioeconomic status and childhood overweight/obesity is linked through paternal obesity and dietary intake: a cross-sectional study in Chongqing, China

Variables

N

Overweight

Obesity

Prevalence (95%CI)

P

P for trend

Prevalence (95%CI)

P

P for trend

Total

 

13.36% (12.85%, 13.88%)

  

8.60% (8.19%, 9.03%)

  

Anthropometric measures

Gender

 Male

8881 (52.22%)

15.97% (15.21%, 16.75%)

< 0.001

–

12.33% (11.65%, 13.03%)

< 0.001

–

 Female

8126 (47.78%)

10.51% (9.85%, 11.20%)

  

4.53% (4.09%, 5.00%)

  

Age, year

 6

2046(12.03%)

11.83% (10.46%, 13.31%)

0.047

0.002

9.78% (8.52%, 11.14%)

0.039

0.001

 7

3153 (18.54%)

12.34% (11.21%, 13.54%)

  

9.01% (8.03%, 10.06%)

  

 8

2876 (16.91%)

13.14% (11.93%, 14.43%)

  

8.90% (7.89%, 10.00%)

  

 9

2689 (15.81%)

14.35% (13.05%, 15.74%)

  

8.44% (7.42%, 9.56%)

  

 10

2770 (16.29%)

13.65% (12.39%, 14.98%)

  

8.52% (7.51%, 9.62%)

  

 11

2669 (15.69%)

14.46% (13.15%, 15.85%)

  

7.94% (6.94%, 9.03%)

  

 12

804 (4.73%)

14.05% (11.73%, 16.65%)

  

5.97% (4.43%, 7.84%)

  

Socioeconomic index

Region

 Urban or suburb

9405 (55.30%)

15.01% (14.30%, 15.75%)

< 0.001

–

9.49% (8.91%, 10.11%)

< 0.001

–

 Rural

7602 (44.70%)

11.31% (10.61%, 12.05%)

  

7.50% (6.92%, 8.11%)

  

Father’s education, level, yeara

 ~9

8177 (49.16%)

11.90% (11.21%, 12.62%)

< 0.001

< 0.001

7.48% (6.92%, 8.08%)

< 0.001

< 0.001

 ~12

6393 (38.43%)

14.66% (13.80%, 15.55%)

  

9.46% (8.76%, 10.21%)

  

 ~15

1955 (11.75%)

15.35% (13.77%, 17.02%)

  

10.08% (8.78%, 11.50%)

  

 >15

109 (0.66%)

17.43% (10.83%, 25.87%)

  

11.93% (6.51%, 19.53%)

  

Father’s occupationb

 Manager

1334 (8.00%)

15.44% (13.54%, 17.49%)

< 0.001

–

8.77% (7.31%, 10.42%)

0.028

–

 Worker

5315 (31.86%)

14.54% (13.61%, 15.52%)

  

9.22% (8.45%, 10.03%)

  

 Technicist/Researcher

711 (4.26%)

15.19% (12.63%, 18.04%)

  

9.42% (7.38%, 11.81%)

  

 Farmer

5410 (32.43%)

11.94% (11.09%, 12.83%)

  

7.58% (6.89%, 8.32%)

  

 Others

3914 (23.46%)

12.90% (11.87%, 13.99%)

  

8.89% (8.02%, 9.83%)

  

Mother’s occupationc

 Manager

892 (5.35%)

14.13% (11.91%, 16.59%)

< 0.001

–

9.30% (7.48%, 11.40%)

0.053

–

 Worker

4713 (28.25%)

14.85% (13.85%, 15.90%)

  

8.44% (7.67%, 9.28%)

  

 Technicist/Researcher

299 (1.79%)

17.39% (13.27%, 22.17%)

  

12.04% (8.58%, 16.28%)

  

 Farmer

5119 (30.68%)

13.28% (12.37%, 14.24%)

  

8.95% (8.18%, 9.76%)

  

 Others

5660 (33.93%)

12.03% (11.20%, 12.91%)

  

7.92% (7.22%, 8.65%)

  

Income, RMBd

 ~ 500

843 (5.56%)

8.42% (6.64%, 10.51%)

< 0.001

< 0.001

6.29% (4.74%, 8.14%)

< 0.001

< 0.001

 ~ 1000

1631 (10.76%)

11.40% (9.90%, 13.05%)

  

7.17% (5.97%, 8.54%)

  

 ~ 2000

2906 (19.17%)

12.22% (11.05%, 13.46%)

  

7.98% (7.02%, 9.03%)

  

 > 2000

9782 (64.52%)

14.22% (13.53%, 14.93%)

  

9.32% (8.75%, 9.92%)

  

Live with grandparentse

 No

12,905 (84.61%)

13.21% (12.63%, 13.81%)

0.685

–

8.73% (8.25%, 9.23%)

0.498

–

 Yes

2348 (15.39%)

12.90% (11.57%, 14.33%)

  

8.30% (7.22%, 9.50%)

  

People live with childf

 1

730 (4.86%)

12.05% (9.78%, 14.64%)

0.062

0.181

9.32% (7.31%, 11.66%)

0.075

0.028

 2~3

8053 (53.60%)

13.77% (13.03%, 14.54%)

  

9.04% (8.42%, 9.69%)

  

 4

6240 (41.54%)

12.53% (11.72%, 13.38%)

  

8.01% (7.35%, 8.71%)

  

Medical insuranceg

 No

12,767 (84.10%)

13.31% (12.72%, 13.91%)

0.291

–

8.71% (8.23%, 9.21%)

0.682

–

 Yes

2413 (15.90%)

12.52% (11.22%, 13.90%)

  

8.45% (7.37%, 9.64%)

  

Perinatal measures

Gestational hypertensionh

 No

14557 (98.49%)

13.20% (12.66%, 13.76%)

0.199

–

8.61% (8.16%, 9.07%)

0.963

–

 Yes

223 (1.51%)

16.14% (11.57%, 21.64%)

  

8.52% (5.21%, 12.99%)

  

Birth weight, gi

 ~3000

4138 (27.19%)

11.14% (10.20%, 12.14%)

< 0.001

< 0.001

6.57% (5.84%, 7.37%)

< 0.001

< 0.001

 ~3600

6619 (43.49%)

13.81% (12.99%, 14.66%)

  

8.97% (8.30%, 9.69%)

  

 >3600

4464 (29.33%)

14.14% (13.13%, 15.19%)

  

10.17% (9.30%, 11.09%)

  

Breast feeding, monthj

 0~3

3751 (25.00%)

13.52% (12.44%, 14.65%)

0.238

0.142

9.44% (8.52%, 10.42%)

0.178

0.142

 4~10

7408 (49.38%)

13.42% (12.65%, 14.22%)

  

8.44% (7.81%, 9.09%)

  

 >10

3844 (25.62%)

12.38% (11.36%, 13.47%)

  

8.48% (7.62%, 9.41%)

  

Father with obesityk

 No

12,662 (83.93%)

12.34% (11.77%, 12.92%)

< 0.001

–

7.49% (7.03%, 7.96%)

< 0.001

–

 Yes

2425 (16.07%)

17.15% (15.67%, 18.72%)

  

15.01% (13.61%, 16.49%)

  

Mother with obesityl

 No

13,592 (90.13%)

12.57% (12.02%, 13.14%)

< 0.001

–

7.96% (7.51%, 8.43%)

< 0.001

–

 Yes

1489 (9.87%)

18.40% (16.46%, 20.47%)

  

15.25% (13.46%, 17.17%)

  
  1. aA total of 373 subjects having missing values in mother’s education level.
  2. bA total of 323 subjects having missing value in father’s occupation.
  3. cA total of 324 subjects having missing value in mother’s occupation.
  4. dA total of 1845subjects having missing values in parents’ income.
  5. eA total of 1754subjects having missing values in live with grandparents.
  6. fA total of 1984 subjects having missing values in people live with.
  7. gA total of 1827 subjects having missing values in medical insurance.
  8. gA total of 1827 subjects having missing values in medical insurance.
  9. iA total of 1786 subjects having missing values in birth weight.
  10. jA total of 2004 subjects having missing values in breastfeeding.
  11. kA total of 1920 subjects having missing values in father with obesity.
  12. lA total of 1926 subjects having missing values in mother with obesity.
Back to article page

Environmental Health and Preventive Medicine

ISSN: 1347-4715

Contact us