Excessive recreational Internet use was associated with poor mental health in adolescents
Notice bibliographique
Résumé
Adolescents spend significant time using the Internet for recreational and academic purposes. It can increase social interaction and peer-to-peer support, but excessive use has been linked to psychosocial problems, including hyperactivity, anxiety and depression, sleep problems and self-harm.1, 2 Nearly every adolescent in South Korea has access to the Internet, and studies from 2003 to 2009 showed that higher recreational Internet use was associated with poor mental health.3, 4 This study examined the Korea Youth Risk Behavior Web-based Survey from 2011 to 2016. This is a repeated cross-sectional and nationally representative multistage cluster sampled survey of adolescents aged 12-18. About 800 schools take part each year. Students completed a web-based survey and rated how often they felt stressed on regular days, based on a five-point scale. We dichotomised the responses into 1-2 for above average stress and 3-5 for average or below average stress. Participants also reported whether they had felt sadness or despair during the past 12 months to the extent that it affected their daily routines. They reported their Internet use for recreational and academic purposes on weekdays and weekends. We computed total Internet use for recreational use on an average day and divided participants into three groups: low use of <2 hours per day, moderate use of 2-3 hours and high use of 4 hours plus. We conducted logistic regression, stratified by gender for each survey year, to estimate the odds ratios and 95% confidence intervals of the association estimates, adjusted for age, body mass index, family economic status and academic Internet use. The regression analyses were weighted to account for selection probabilities, survey non-responses, post-stratification and the multistage cluster sampling design. We used meta-analysis with random effects to derive overall pooled estimates. Between 2011 and 2016, the average response rate to the survey was 96.4% and 330 080 adolescents (53.4% boys), with a mean age of 14.8 ± 1.6 years, were included in the analyses. Overall, 31.8% of boys and 45.8% of girls reported stress and 22.6% and 32.7% reported sadness. Moderate Internet use was reported by 39.3% of boys and 32.5% of girls, while high Internet use was 14.3% and 11.2% (Figure S1). In general, high stress and sadness increased in a linear fashion as adolescents spent more time online. For the low, moderate and high user groups, it was 29.9%, 32.5% and 38.5% for the boys and 43.1%, 48.5% and 55.2% for girls. For sadness, the respective figures were 21.2%, 23.3% and 26.1% for the boys and 30.2%, 35.1% and 41.1% for the girls. Boys in the high user group had 36% higher odds of reporting high stress and 24% higher odds of reporting sadness than the low user group (Figure 1). The figures for the girls were 56% and 61%. The odds of reporting stress and sadness were 20% and 23% more for girls with moderate than low use. This large, nationally representative Korean survey showed that from 2011 to 2016 adolescents with high recreational Internet use had considerably higher odds of reporting stress and sadness than those who used the Internet for <2 hours per day. The association estimates were relatively higher for girls than boys. Even moderate Internet use was associated with high odds of stress or sadness for girls. These high levels of stress and sadness were consistent with previous studies.1-4 Increased Internet use can reduce opportunities for real-life social interaction 3 and promote overall screen time, which can adversely affect adolescents’ well-being.1, 2 High Internet use can also adversely affect sleep, which may increase psychosocial vulnerability.1 Social media use has been associated with anxiety and depression in adolescents, which can lead to stress and, or, sadness.5 However, the negative association between Internet use and stress or sadness was stronger for our girls, which was consistent with other findings.2 Girls may be more vulnerable to internalising problems, which can increase anxiety and depression, and low self-esteem, which can make them more susceptible to stress and sadness.2 Negative body image, body dissatisfaction and self-objectification, resulting from high social media use, can be more pronounced in girls. Therefore, policies and initiatives that make females feel more positive about themselves are needed to reduce poor mental health related to Internet use. The data were adjusted for various potential confounders. Self-reported data are vulnerable to bias. Our findings do not suggest causality, and the relationships could be bidirectional. For example, adolescents with pre-existing conditions, including social isolation or withdrawal, use the Internet more3 and some adolescents spend more time using the Internet to connect with friends and family when they are sad or stressed. Our findings add to the growing links between adolescents’ recreational Internet use and poor mental health. Parents, teachers and other stakeholders can help adolescents to restrict their usage, which can improve their well-being. Longitudinal studies are needed to understand the causal pathways and directions of the associations. We thank the Korea Centers for Disease Control and Prevention, the Ministry of Education, and the Ministry of Health and Welfare for providing the datasets. RU is supported by Alfred Deakin Post Doctoral Research Fellowship. None. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 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.
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