| Title |
Socioeconomic determinants of childhood obesity among primary school children in Guangzhou, China
|
|---|---|
| Published in |
BMC Public Health, June 2016
|
| DOI | 10.1186/s12889-016-3171-1 |
| Pubmed ID | |
| Authors |
Weijia Liu, Wei Liu, Rong Lin, Bai Li, Miranda Pallan, K. K. Cheng, Peymane Adab |
| Abstract |
Socioeconomic inequalities in childhood obesity prevalence differ according to a country's stage of nutrition transition. The aim of this study was to determine which socioeconomic factors influence inequalities in obesity prevalence in Chinese primary school children living in an urban setting. We assessed obesity prevalence among 9917 children aged 5-12 years from a stratified random sample of 29 state-funded (residents) and private (migrants) schools in Guangzhou, China. Height and weight were objectively measured using standardised methods and overweight (+1 SD < BMI-for-age z-score ≤ +2 SD) and obesity (BMI-for-age z-score > +2 SD) were defined using the World Health Organisation reference 2007. Socioeconomic characteristics were ascertained through parental questionnaires. Generalised Linear Mixed Models with schools as a random effect were used to compare likelihood of overweight/obesity among children in private, with public schools, adjusting for child age and sex, maternal and paternal BMI and education level, and household per-capita income. The prevalence of overweight/obesity was 20.0 % (95 % CI 19.1 %-20.9 %) in resident compared with 14.3 % (95 % CI 13.0 %-15.4 %) in migrant children. In the adjusted model, the odds of overweight/obesity remained higher among resident children (OR 1.36; 1.16-1.59), was higher in boys compared with girls (OR 2.56; 2.24-2.93), and increased with increasing age (OR 2.78; 1.95-3.97 in 11-12 vs 5-6 year olds), per-capita household income (OR 1.27; 1.01-1.59 in highest vs lowest quartile) and maternal education (OR 1.51; 1.16-1.97 in highest vs lowest). Socioeconomic differences were most marked in older boys, and were only statistically significant in resident children. The socioeconomic gradient for childhood obesity in China is the reverse of the patterns seen in countries at more advanced stages of the obesity epidemic. This presents an opportunity to intervene and prevent the onset of social inequalities that are likely to ensue with further economic development. The marked gender inequality in obesity needs further exploration. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sri Lanka | 1 | <1% |
| Unknown | 200 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 18% |
| Student > Bachelor | 24 | 12% |
| Researcher | 21 | 10% |
| Student > Ph. D. Student | 15 | 7% |
| Student > Doctoral Student | 13 | 6% |
| Other | 29 | 14% |
| Unknown | 63 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 39 | 19% |
| Medicine and Dentistry | 28 | 14% |
| Social Sciences | 18 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 3% |
| Agricultural and Biological Sciences | 5 | 2% |
| Other | 30 | 15% |
| Unknown | 75 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2016.
All research outputs
#829,379
of 22,876,619 outputs
Outputs from BMC Public Health
#877
of 14,917 outputs
Outputs of similar age
#17,320
of 340,472 outputs
Outputs of similar age from BMC Public Health
#24
of 215 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 94% of its peers.
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We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.