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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Association between Family and Parental Factors and Obesity among Children in Nanchang, China
|
|---|---|
| Published in |
Frontiers in Public Health, August 2016
|
| DOI | 10.3389/fpubh.2016.00162 |
| Pubmed ID | |
| Authors |
Peng Zhang, Hongjiao Wu, Xiaojun Zhou, Yuanan Lu, Zhaokang Yuan, Justin B. Moore, Jay E. Maddock |
| Abstract |
With rapid economic development in China, traditional patterns of health behaviors are changing, concurrent with a rise in childhood obesity. While the home environment and parenting behaviors are modifiable factors that could be targeted for intervention, little is known about their relationship with children's health behaviors. Therefore, the purpose of this study was to investigate the relationship between obesity and home and parenting factors in Chinese children. A cross-sectional survey was conducted in Nanchang, China in 2013 with caregivers (N = 470) of a child between the ages of 2 and 10 years. Regression analyses were conducted to determine risk factors for childhood obesity. Obesity prevalence (21.7%) did not differ by demographic variables. Eight physical activity, nutrition, and sedentary variables had significant relationships to obesity status. Logistic regression analysis revealed three significant predictors of obesity: the number of days the family eats meals together (odds ratio = 0.84, 95% CI 0.73-0.96) and parental home computer use time (odds ratio = 0.83, 95% CI 0.72-0.96) were related to lower levels of obesity, while parental television time (odds ratio = 1.25 95% CI 1.07-1.47) was related to higher levels of obesity. The prevalence of obesity among children is high in Nanchang. Family and environmental risk factors are significantly related to obesity. |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 20% |
| Student > Master | 10 | 17% |
| Student > Doctoral Student | 4 | 7% |
| Researcher | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 20 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 15% |
| Nursing and Health Professions | 9 | 15% |
| Agricultural and Biological Sciences | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 25 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 August 2016.
All research outputs
#18,149,825
of 23,316,003 outputs
Outputs from Frontiers in Public Health
#5,314
of 10,846 outputs
Outputs of similar age
#261,264
of 357,618 outputs
Outputs of similar age from Frontiers in Public Health
#54
of 75 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,846 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 357,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.