Title |
Are associations between electronic media use and BMI different across levels of physical activity?
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Published in |
BMC Public Health, May 2015
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DOI | 10.1186/s12889-015-1810-6 |
Pubmed ID | |
Authors |
Ole Melkevik, Ellen Haug, Mette Rasmussen, Anne Siri Fismen, Bente Wold, Alberto Borraccino, Erik Sigmund, Robert Balazsi, Jens Bucksch, Jo Inchley, Margarida Gaspar de Matos, Oddrun Samdal |
Abstract |
The use of electronic media has been found to be a risk factor for higher BMI and for being overweight. Physical activity has been found to be associated with lower BMI and lower risk for being overweight. Little is known about whether the associations between physical activity and electronic media use are additive or interactive in predicting BMI and risk for overweight among adolescents. The data used in this study stem from the 2009/2010 survey of "Health Behaviour in School-aged Children (HBSC) study: A WHO Cross-National Survey. The sample consisted of 107184 13 and 15 year students from 30 different countries. Multilevel regression models were used to produce the presented estimates. Overall, 18% of boys and 11% of girls were classified as overweight. EM use was found to be associated with increased BMI z-scores and odds for overweight among both boys and girls who did not comply with physical activity guidelines. Among physically active adolescents, EM was found to be significantly associated with BMI or odds for overweight among girls, but not among boys. While the usage of EM appear to be inconsequential for BMI and the risk of overweight among physically active boys, we find evidence indicating that EM use is associated with BMI and risk for overweight among girls, including those who report complying with MVPA guidelines. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 56% |
Canada | 2 | 22% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 4 | 44% |
Members of the public | 3 | 33% |
Scientists | 2 | 22% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | <1% |
Unknown | 100 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 13% |
Student > Master | 13 | 13% |
Researcher | 11 | 11% |
Student > Bachelor | 10 | 10% |
Student > Doctoral Student | 6 | 6% |
Other | 22 | 22% |
Unknown | 26 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 16% |
Nursing and Health Professions | 14 | 14% |
Social Sciences | 7 | 7% |
Psychology | 5 | 5% |
Sports and Recreations | 5 | 5% |
Other | 20 | 20% |
Unknown | 34 | 34% |