0255 Smartphones In The Bedroom, Sleep, Communication, And Mental Health In Australian School Students
Notice bibliographique
Résumé
Smartphones in the bedroom rob sleep time and facilitate communication during the circadian low. These factors may lead to impaired communication and disturbed mental health. However, nighttime messaging may also foster social connection. This was investigated in a large dataset of Australian students. The Resilient Youth Australia Limited dataset includes more than 180,000 Australian primary and high school students, who completed a 30-60min in-class survey with questions about phone use, sleep, friendships, and the General Health Questionnaire (GHQ-12). Respondents with complete datasets were included in analyses (n=169,352, 7-18y, mean=13 ± 3y, male=49.9%, gender diverse=0.4%). Using phones at night (10pm-6am) at least once in the past week was reported by 55% of respondents. The proportion increased with age, from 25% at 7-8y to 83% by 17-18y. Forty percent reported that they never or only sometimes had 8h or more sleep per night. A third reported that they had responded to a text in anger, 25% that they had received hurtful messages, and 22% that they had been cyberbullied at least once in the past month. A quarter reported that they built friendships not at all or only sometimes. Controlling for age and gender, nighttime phone use was associated with significantly increased odds of: responding in anger (Odds Ratio, OR=4.92, 95%Confidence Intervals, CI=4.80–5.06); receiving hurtful messages (OR=3.96, CI=3.85–4.07); and being cyberbullied (OR=2.78, CI=2.71–2.86). It was also associated with reduced odds of getting 8h or more sleep per night (OR=0.53, CI=0.45–0.56), and higher (less favourable) GHQ-12 scores (13.60 ± 7.14 compared to 10.87 ± 6.52, p<0.01, d=0.4). The odds of building friendships increased (OR=1.18, CI=1.15,1.20). Using cell phones at night is common among children as young as 7y. This may not only impact negatively on sleep, but may also increase angry or hurtful communication, and mental health issues. On the other hand, it may also facilitate friendship building. Interventions to reduce phone use at night must consider the benefits and potential losses associated with change. Stephanie Centofanti is supported in part by Resilient Youth Australia Limited post-doctoral funding.
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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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».