Title |
Revising on the run or studying on the sofa: prospective associations between physical activity, sedentary behaviour, and exam results in British adolescents
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Published in |
International Journal of Behavioral Nutrition and Physical Activity, September 2015
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DOI | 10.1186/s12966-015-0269-2 |
Pubmed ID | |
Authors |
Kirsten Corder, Andrew J. Atkin, Diane J. Bamber, Soren Brage, Valerie J. Dunn, Ulf Ekelund, Matthew Owens, Esther M. F. van Sluijs, Ian M. Goodyer |
Abstract |
We investigated prospective associations between physical activity/sedentary behaviour (PA/SED) and General Certificate of Secondary Education (GCSE) results in British adolescents. Exposures were objective PA/SED and self-reported sedentary behaviours (screen (TV, Internet, Computer Games)/non-screen (homework, reading)) measured in 845 adolescents (14·5y ± 0·5y; 43·6 % male). GCSE results at 16y were obtained from national records. Associations between exposures and academic performance (total exam points) were assessed using multilevel mixed-effects linear regression adjusted for mood, BMI z-score, deprivation, sex, season and school; potential interactions were investigated. PA was not associated with academic performance. One-hour more accelerometer-assessed SED was associated with (β(95 % CI)) 6·9(1·5,12·4) more GCSE points. An extra hour of screen time was associated with 9.3(-14·3,-4·3) fewer points whereas an extra hour of non-screen time (reading/homework) was associated with 23·1(14·6,31·6) more points. Screen time was still associated with poorer scores after adjusting for objective PA/SED and reading/homework. An extra hour/day of screen time at 14·5y is approximately equivalent to two fewer GCSE grades (e.g., from B to D) at 16y. Strategies to achieve the right balance between screen and non-screen time may be important for improving academic performance. Concerns that encouraging more physical activity may result in decreased academic performance seem unfounded. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 50 | 28% |
Saudi Arabia | 27 | 15% |
United States | 12 | 7% |
France | 5 | 3% |
Australia | 4 | 2% |
Netherlands | 4 | 2% |
Venezuela, Bolivarian Republic of | 1 | <1% |
Finland | 1 | <1% |
Norway | 1 | <1% |
Other | 9 | 5% |
Unknown | 66 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 132 | 73% |
Scientists | 29 | 16% |
Practitioners (doctors, other healthcare professionals) | 14 | 8% |
Science communicators (journalists, bloggers, editors) | 5 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 2% |
Japan | 1 | <1% |
Spain | 1 | <1% |
Unknown | 224 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 17% |
Student > Master | 34 | 15% |
Researcher | 24 | 10% |
Student > Bachelor | 21 | 9% |
Student > Doctoral Student | 12 | 5% |
Other | 40 | 17% |
Unknown | 59 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Sports and Recreations | 36 | 16% |
Medicine and Dentistry | 33 | 14% |
Social Sciences | 25 | 11% |
Psychology | 20 | 9% |
Agricultural and Biological Sciences | 10 | 4% |
Other | 37 | 16% |
Unknown | 69 | 30% |