| Title |
Are school factors and urbanization supportive for being physically active and engaging in less screen-based activities?
|
|---|---|
| Published in |
International Journal of Public Health, December 2017
|
| DOI | 10.1007/s00038-017-1069-z |
| Pubmed ID | |
| Authors |
Jaroslava Kopcakova, Zuzana Dankulincova Veselska, Andrea Madarasova Geckova, Daniel Klein, Jitse P. van Dijk, Sijmen A. Reijneveld |
| Abstract |
The aim was to assess the association between physical activity and screen-based activities in adolescents and selected school factors and urbanization and whether these associations were modified by degree of urbanization. We obtained data regarding the fifth-ninth grade students from 130 schools in 2014 via the Health Behaviour in School-aged Children cross-sectional study in Slovakia (n = 9743, mean age = 13.5, 50.3% boys). We explored the associations using multilevel logistic regression. We found significant associations between physical activity and the accessibility of an area for skating/tennis court [odds ratio (OR) = 1.20 and 95% confidence interval (CI) 1.01-1.42], and between physical activity and active breaks (OR = 0.83 and 95% CI 0.69-0.99). The rates of screen-based activities were higher in small towns (OR = 1.63, 95% CI 1.29-2.06), towns (OR = 1.30, 95% CI 1.08-1.57), and cities (OR = 1.40, 95% CI 1.04-1.87) than in villages. School environment and degree of urbanization are associated with adolescents' physical activity and screen-based activities. This holds positively for access to an area for skating/tennis court and negatively for active breaks regarding physical activity and for living in villages regarding less use of screens. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Slovakia | 1 | 33% |
| Australia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 10% |
| Student > Postgraduate | 5 | 10% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Other | 12 | 24% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 11 | 22% |
| Medicine and Dentistry | 5 | 10% |
| Environmental Science | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Arts and Humanities | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 20 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 August 2018.
All research outputs
#14,920,631
of 25,382,440 outputs
Outputs from International Journal of Public Health
#1,113
of 1,900 outputs
Outputs of similar age
#227,546
of 447,689 outputs
Outputs of similar age from International Journal of Public Health
#17
of 31 outputs
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