Weekly sport practice and adolescent well-being

Merglen, Arnaud; Flatz, Aline; Bélanger, Richard E.; Michaud, Pierre‐André; Surı́s, Joan-Carles

doi:10.1136/archdischild-2013-303729

Cited by 39 publications

(38 citation statements)

References 15 publications

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“…Recent studies have explored the benefits of physical activity in healthy ageing and the reduction of risk factors of chronic diseases [15], its benefits in school-aged children and youth [28], the association between the lack of physical activity in teenagers and mental illnesses [8], the correlation between the lack of exercise and the risk of developing alcohol use disorders [18], the benefits of sport practice in adolescent wellbeing [31] and even the relation between physical activity with the prevention of certain types of cancer [44,54,27], while in the last cases not conclusive results have been found. Other disorders associated to the lack of physical activity have also been thoroughly reviewed [30].…”

Section: Introductionmentioning

confidence: 99%

Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms

Baldominos

Sáez

Isasi

2015

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

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Physical activity is recognized as one of the key factors for a healthy life due to its beneficial effects. The range of physical activities is very broad, and not all of them require the same effort to be performed nor have the same effects on health. For this reason, automatically recognizing the physical activity performed by a user (or patient) turns out to be an interesting research field, mainly because of two reasons: (1) it increases personal awareness about the activity being performed and its consequences on health, allowing to receive proper credit (e.g. social recognition) for the effort; and (2) it allows doctors to perform continuous remote patient monitoring.This paper proposes a new approach for improving activity recognition by describing an activity recognition chain (ARC) that is optimized by means of genetic algorithms. This optimization process determines the most suitable and informative set of features that turns out into higher recognition accuracy while reducing the total number of sensors required to track the user activity. These improvements can be translated into lower costs in hardware and less intrusive devices for the patients. In this work, for the assessment of the proposed approach versus other techniques and for replication purposes, a publicly available dataset on physical activity (PAMAP2) has been used.Experiments are designed and conducted to evaluate the proposed ARC by using leave-one-subject-out cross validation and results are encouraging, reaching an average classification accuracy of about 94%.

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Section: Introductionmentioning

confidence: 99%

Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms

Baldominos

Sáez

Isasi

2015

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

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“…3 The practice of a sport, because of its broad range of positive effects on health and psychological well-being, is often prescribed for overall physical fitness, and is also widely used as part of physicians' clinical practice in healing patients. 4,5 Researchers generally believe that physical activity has a positive effect on mood and anxiety. Intervention studies have described the anxiolytic and anti-depressive effects of exercise in healthy subjects and patients.…”

Section: Introductionmentioning

confidence: 99%

Tennis enhances well-being in university students

et al. 2016

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Sports and physical activity are widely recommended, both as guidelines and in clinical practice, because of their broad range of positive effects on health, depression, anxiety, and psychological well-being. While several studies have examined the anti-depressive and anxiolytic effects of physical activity in clinical populations, and fewer studies have focused on the nonclinical populations, the relationship between tennis and well-being has not been clearly investigated. This study was carried out with 76 student volunteers from Kocaeli University (Turkey) who had chosen tennis lessons as their University. The tennis exercise program consisted of 90-minute basic tennis skills lessons for 13 weeks. At the beginning and at the end of the study, the students were given the Symptom Checklist-90-Revised (SCL-90-R), the Beck Anxiety Inventory (BAI), and the Beck Depression Inventory (BDI) scales, and were evaluated by the DeWitt-Dugan Tennis Service Test, the DeWitt-Dugan Speed Test, and the Dyer Backboard Tennis Test. Upon evaluating the students' pre- and post-test scores, we concluded that their BDI and BAI scores had significantly decreased, with the most significant decreases seen in several sub-scores of the SCL-90-R; their tennis skills, meanwhile, increased significantly. This study shows that partaking in tennis exercise once a week decreases depression and anxiety symptoms and enhances well-being in healthy young people.

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“…The top scores of well-being were around 14 hours for every week of game practice, which compares to double the recommender participation of 7 hours. Nevertheless, the well-being was opposite when rehearsing for more than 17.5 hours for each week (Merglen et al, 2014).…”

Section: Introductionmentioning

confidence: 87%

“…Subsequently, the stays that were utilized may prompt less mistake fluctuation in youngsters' self-reports of their recurrence of consideration in any physical action, diverged from reporting the exact hours consistently (Adachi & Willoughby, 2013). It is though noteworthy to mention that according to Merglen's et al (2014) study, relationship was found between weekly sport practice and adolescent well-being. Youths in the low and high participation groups indicated more than a twofold risk of reporting poor well-being compared to those practicing 7 hours for every week which is suggested.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Physical Activity and Gender on Well Being and Body Image of Adolescents

Petrakaki¹,

Karakasidou²

2017

PSYCH

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The aim of the current study is to investigate the interaction between gender and physical activity with the three variables (subjective happiness, self-esteem and body image). More specifically, we will test if there is a difference between the variables (subjective happiness, self-esteem and body image) and if any gender differences are present. Method: A hundred and eleven (111) adolescent students (58 girls, 53 boys) who ranged in age from 13 to 17 years participated in the study. Because the participants were adolescents, their parents first completed the inform consent for their child's participation. Then the students completed demographic factors in order to allocate them in exercisers or no-exercisers and sexual orientation and the three questionnaires. A 2 (exercisers, non-exercisers) × 2 (male, female) × 3

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Weekly sport practice and adolescent well-being

Cited by 39 publications

References 15 publications

Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms

Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms

Tennis enhances well-being in university students

The Effect of Physical Activity and Gender on Well Being and Body Image of Adolescents

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