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Sports involvement can be both formal and informal at the same time: a comment on peretti‐watel <i>et  al</i>.

2002· letter· en· W3026406468 on OpenAlexaboutno aff
Fabrice O Lorente

Bibliographic record

VenueAddiction · 2002
Typeletter
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsClubContext (archaeology)CitationSubject (documents)PsychologyAdvertisingSocial psychologyMedicineLibrary scienceHistoryComputer scienceBusiness

Abstract

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AddictionVolume 97, Issue 12 p. 1609-1609 Free Access Sports involvement can be both formal and informal at the same time: a comment on peretti-watel et al. First published: 11 December 2002 https://doi.org/10.1046/j.1360-0443.2002.00283.xCitations: 3AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Sir—Peretti-Watel et al.'s (2002) study, conducted in France among 10 807 adolescents (age range 14–19 years), shows that the U-shaped curve between the intensity of physical activity and licit and illicit drug use is not systematic. According to the authors, the relationship between sport participation and the use of substances depends on many factors, such as the substance considered, the level of use, gender, age, whether or not the subject is registered with a club and the type of sport practised. The authors aimed ‘to go further than the U-curve by taking into account the context of sporting practice’. Thus, they distinguished between two types of context of practice: registration in a club (formal) and playing sports alone or with friends (informal). However, in a recent study performed on 1631 French adolescents (age range 12–22 years), L’Aoustet et al. (2002) revealed that 44.8% of the 1296 subjects who practised sport did so in a bimodal way—in both a formal (club, association) and an informal (alone, with friends and relatives) context. To our knowledge, no study describing the relationship between sporting practice and the use of licit and illicit substances has taken into account these three modes of practice context (i.e. formal, informal and bimodal). Therefore, it is our view that the approach used by Peretti-Watel et al. and others (e.g. Choquet & Hassler 1997; Pate et al. 2000; Okruhlica et al. 2001) disregards the real practice context of about half of the sporting population. Hence, it is likely that the relationship between the context of the sporting practice and substance use and abuse would be greatly clarified if the bimodal practice context was considered. In addition, a study conducted by the Canadian Center for Drug-Free Sport (1995) indicates that ‘26% of parents are keeping their children out of organized sport because of the issue of drugs in sport’. This leads us to think that the taking into account of the context of sporting practice is not sufficient. Studies in this area should also address the question of the declared preference of the form of sporting practice (formal, informal alone, informal with friends, informal with relatives). Indeed, when teenagers express their preferred form of sporting practice, they express their own feelings, and not those of their parents or other persons in their entourage. Hence, one may consider that practising a sport in an organized context chosen only by the parents (i.e. in conflict with the preference of the adolescent) could be felt by the adolescent as a powerful stressor and thus could influence their relationship with psychoactive drugs. All things considered, it would be interesting to observe whether sportsmen practising in a bimodal context are clearly distinguished from those practising only in formal or informal contexts with regard to substance use. FABRICE O. LORENTE Faculté des Sciences du Sport Université de la Méditerranée Marseille France E-mail: lorente@staps.univ-mrs.fr References Canadian Center for Drug-Free Sport (1995) Majority of Canadians Say Drug Use in Sport is a Problem. Media release, 15 February. Gloucester, ON: Canadian Center for Drug-Free Sport. Choquet, M. & Hassler, C. (1997) Sport et consommation d’alcool à l’adolescence [Sport and adolescent consumption of alcohol]. Alcoologie, 19, 21– 27. L’Aoustet, O., Niel, A. & Griffet, J. (2002) Current forms of sports activities among young people: description of trends and inquiry methods. Society and Leisure, 25, 119– 138. Okruhlica, L., Kaco, J. & Klempova, D. (2001) Sports activities in the prevention of heroin dependency. European Addiction Research, 7, 83– 86. Pate, R. R., Trost, S. G., Levin, S. & Dowda, M. (2000) Sports participation and health-related behaviors among US youth. Archives of Pediatrics and Adolescent Medicine, 154, 904– 911. Peretti-Watel, P., Beck, F. & Legleye, S. (2002) Beyond the U-curve: the relationship between sport and alcohol, cigarette and cannabis use in adolescents. Addiction, 97, 707– 716. Citing Literature Volume97, Issue12December 2002Pages 1609-1609 ReferencesRelatedInformation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.318
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2002
Admission routes1
Has abstractyes

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