Dyadic analysis of adolescent friendships behaviours during pain: Comparison of those with chronic pain versus those without chronic pain
Notice bibliographique
Résumé
BACKGROUND: Social context has been found to influence pain intensity and tolerance. The aims of this study were to determine the impact of one type of social context on the painful experiences of adolescents with and without chronic pain by examining interactions within and across friendship dyads during experimental pain. METHODS: Each adolescent in 61 same-sex friendship dyads (30 dyads with a chronic pain member) across three sites participated in the cold pressor task and acted as the observer during their friend's participation. They also completed a battery of measures to capture friendship features and pain outcomes. Pain intensity was measured using an 11-point numeric scale. Pain tolerance was measured by the length of time in the cold pressor device. Videotapes of their interactions were coded for verbal and non-verbal behaviours. A series of Actor Partner Independence Modelling, Hierarchical Multiple Regression and Multivariate Analysis of Covariance was used to analyse the data. RESULTS: Friendship features were not associated with pain intensity or tolerance. Both members of dyads with a chronic pain member used fewer non-attending behaviours when they were observing their friend resulting in participants in those dyads having lower pain tolerance. Moreover, within dyads, one's friend's behaviours when experiencing pain influenced pain tolerance but only for those dyads with a chronic pain member. CONCLUSIONS: Strategies aimed at improving social interactions for adolescents with chronic pain while they are experiencing pain are discussed. Research is needed to understand how different peer relationships influence pain tolerance in adolescents with chronic pain. SIGNIFICANCE OF THE RESEARCH: During pain, patterns of interactions differ within and between adolescent friendship dyads when one has chronic pain (CP) versus controls. Dyads with a CP member use fewer non-attending behaviours despite non-attending behaviours rated as more helpful. Pain intensity was solely related to the participant's behaviour. Amongst dyads with a CP member, pain tolerance was also influenced by their friend's behaviours. Friends of adolescents with pain engage in more unhelpful behaviours perhaps decreasing the ability of CP adolescents to engage in social activities.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,032 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».