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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.
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Environmental Health and Preventive Medicine

ISSN: 1347-4715

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