The effects of risk-glorifying media exposure on risk-positive cognitions, emotions, and behaviors: a meta-analytic review.
Identifieur interne : 001412 ( Main/Exploration ); précédent : 001411; suivant : 001413The effects of risk-glorifying media exposure on risk-positive cognitions, emotions, and behaviors: a meta-analytic review.
Auteurs : Peter Fischer [Autriche] ; Tobias Greitemeyer ; Andreas Kastenmüller ; Claudia Vogrincic ; Anne SauerSource :
- Psychological bulletin [ 1939-1455 ] ; 2011.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Attitude envers la santé (MeSH), Cognition (MeSH), Comportement de l'adolescent (psychologie), Comportement sexuel (psychologie), Comportement social (MeSH), Conduite automobile (psychologie), Consommation d'alcool (psychologie), Femelle (MeSH), Fumer (MeSH), Humains (MeSH), Jeune adulte (MeSH), Jeux vidéo (psychologie), Mass-médias (MeSH), Musique (psychologie), Mâle (MeSH), Prise de risque (MeSH), Répartition par âge (MeSH), Sports (psychologie), Émotions (MeSH), Études transversales (MeSH).
- MESH :
- psychologie : Comportement de l'adolescent, Comportement sexuel, Conduite automobile, Consommation d'alcool, Jeux vidéo, Musique, Sports.
- Adolescent, Adulte, Attitude envers la santé, Cognition, Comportement social, Femelle, Fumer, Humains, Jeune adulte, Mass-médias, Mâle, Prise de risque, Répartition par âge, Émotions, Études transversales.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adolescent Behavior (psychology), Adult (MeSH), Advertising (MeSH), Age Distribution (MeSH), Alcohol Drinking (psychology), Attitude to Health (MeSH), Automobile Driving (psychology), Cognition (MeSH), Cross-Sectional Studies (MeSH), Emotions (MeSH), Female (MeSH), Humans (MeSH), Male (MeSH), Mass Media (MeSH), Music (psychology), Risk-Taking (MeSH), Sexual Behavior (psychology), Smoking (MeSH), Social Behavior (MeSH), Sports (psychology), Video Games (psychology), Young Adult (MeSH).
- MESH :
- psychology : Adolescent Behavior, Alcohol Drinking, Automobile Driving, Music, Sexual Behavior, Sports, Video Games.
- Adolescent, Adult, Advertising, Age Distribution, Attitude to Health, Cognition, Cross-Sectional Studies, Emotions, Female, Humans, Male, Mass Media, Risk-Taking, Smoking, Social Behavior, Young Adult.
Abstract
In recent years, there has been a surge in the quantity of media content that glorifies risk-taking behavior, such as risky driving, extreme sports, or binge drinking. The authors conducted a meta-analysis involving more than 80,000 participants and 105 independent effect sizes to examine whether exposure to such media depictions increased their recipients' risk-taking inclinations. A positive connection was found for overall, combined risk taking (g=.41); as well as its underlying dimensions: risk-taking behaviors (g=.41), risk-positive cognitions and attitudes (g=.35), and risk-positive emotions (g=.56). This effect was observed across varying research methods (experimental, correlational, longitudinal); types of media (video games, movies, advertising, TV, music); and differing risk-related outcome measures (e.g., smoking, drinking, risky driving, sexual behavior). Multiple moderator analyses revealed 2 theoretically new boundary conditions for sociocognitive models. First, the effect was stronger for active (i.e., video games) than for passive (e.g., film, music) exposure to risk-glorifying media content. Second, the effect was stronger when there was a high degree of contextual fit between the media content and type of risk-taking measure. The theoretical, practical, and societal implications of the present research synthesis are discussed.
DOI: 10.1037/a0022267
PubMed: 21341887
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<author><name sortKey="Kastenmuller, Andreas" sort="Kastenmuller, Andreas" uniqKey="Kastenmuller A" first="Andreas" last="Kastenmüller">Andreas Kastenmüller</name>
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<term>Advertising (MeSH)</term>
<term>Age Distribution (MeSH)</term>
<term>Alcohol Drinking (psychology)</term>
<term>Attitude to Health (MeSH)</term>
<term>Automobile Driving (psychology)</term>
<term>Cognition (MeSH)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Emotions (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Mass Media (MeSH)</term>
<term>Music (psychology)</term>
<term>Risk-Taking (MeSH)</term>
<term>Sexual Behavior (psychology)</term>
<term>Smoking (MeSH)</term>
<term>Social Behavior (MeSH)</term>
<term>Sports (psychology)</term>
<term>Video Games (psychology)</term>
<term>Young Adult (MeSH)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Attitude envers la santé (MeSH)</term>
<term>Cognition (MeSH)</term>
<term>Comportement de l'adolescent (psychologie)</term>
<term>Comportement sexuel (psychologie)</term>
<term>Comportement social (MeSH)</term>
<term>Conduite automobile (psychologie)</term>
<term>Consommation d'alcool (psychologie)</term>
<term>Femelle (MeSH)</term>
<term>Fumer (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Jeune adulte (MeSH)</term>
<term>Jeux vidéo (psychologie)</term>
<term>Mass-médias (MeSH)</term>
<term>Musique (psychologie)</term>
<term>Mâle (MeSH)</term>
<term>Prise de risque (MeSH)</term>
<term>Répartition par âge (MeSH)</term>
<term>Sports (psychologie)</term>
<term>Émotions (MeSH)</term>
<term>Études transversales (MeSH)</term>
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<term>Conduite automobile</term>
<term>Consommation d'alcool</term>
<term>Jeux vidéo</term>
<term>Musique</term>
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<term>Sexual Behavior</term>
<term>Sports</term>
<term>Video Games</term>
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<term>Mass Media</term>
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<term>Mass-médias</term>
<term>Mâle</term>
<term>Prise de risque</term>
<term>Répartition par âge</term>
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<front><div type="abstract" xml:lang="en">In recent years, there has been a surge in the quantity of media content that glorifies risk-taking behavior, such as risky driving, extreme sports, or binge drinking. The authors conducted a meta-analysis involving more than 80,000 participants and 105 independent effect sizes to examine whether exposure to such media depictions increased their recipients' risk-taking inclinations. A positive connection was found for overall, combined risk taking (g=.41); as well as its underlying dimensions: risk-taking behaviors (g=.41), risk-positive cognitions and attitudes (g=.35), and risk-positive emotions (g=.56). This effect was observed across varying research methods (experimental, correlational, longitudinal); types of media (video games, movies, advertising, TV, music); and differing risk-related outcome measures (e.g., smoking, drinking, risky driving, sexual behavior). Multiple moderator analyses revealed 2 theoretically new boundary conditions for sociocognitive models. First, the effect was stronger for active (i.e., video games) than for passive (e.g., film, music) exposure to risk-glorifying media content. Second, the effect was stronger when there was a high degree of contextual fit between the media content and type of risk-taking measure. The theoretical, practical, and societal implications of the present research synthesis are discussed.</div>
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