HELSENORGE

Problematisk spilling på internett og søvn, - en metaanalyse

Forskere fra Universitetet i Bergen, Nasjonal kompetansetjeneste for søvnsykdommer og Flinders University - Australia har i denne metaanalysen undersøkt hvordan problematisk spilling på internett påvirker søvn. Etter søk i Medline, Embase, Web of Science, PsycINFO og Google Scholar inkluderte forskerne 34 studier (n = 51 901 deltakere) som innfridde inklusjonskriteriene for målet med studien. Resultatene viste at problematisk spilling er assosiert med ulike søvnproblemer som kortere søvnlengde, dårlig søvnkvalitet og søvnighet på dagtid. Det trengs likevel flere studier for å undersøke søvnens rolle for problematisk spilleatferd, da det kan bidra til en bedre forståelse av etiologi til både problematisk spilladferd og søvnproblemer.



Joakim H Kristensen​, Ståle Pallesen, Daniel L King, Mari Hysing, Eilin K Erevik

Studien er publisert i Frontiers in Psychiatry.

Problematic gaming has been linked to poor sleep outcomes; however, these associations have not yet been synthesized quantitatively. This review employed a meta-analysis to investigate the relationship between problematic gaming and sleep-related outcomes. A search of Medline, Embase, Web of Science, PsycINFO, and Google Scholar identified a total of 763 studies, including 34 studies (n = 51,901 participants) eligible for inclusion. Papers were included if available in any European language, addressed problematic gaming, contained original data, and provided sufficient data for calculation of effect sizes. Two researchers independently extracted data using pre-defined fields including quality assessment. Sleep-related outcomes were meta-analyzed for sleep parameters that were reported by 5 or more papers. Significant overall effects were found for sleep duration (g = -0.238, 95% CI = -0.364, -0.112), poor sleep quality (OR = 2.02, 95% CI = 1.47, 2.78), daytime sleepiness (OR = 1.57, 95% CI = 1.00, 2.46) and sleep problems (OR = 2.60, 95% CI = 1.94, 3.47). Between-study heterogeneity was detected for all meta-analyses. Subgroup analyses showed a higher inverse effect size for adolescent samples compared to adult or non-specific age samples in terms of sleep duration. For daytime sleepiness, a larger effect size was found for studies based on single-item sleep measures compared to multi-item sleep measures. For sleep problems, the subgroup analysis showed the opposite with a higher effect size for studies based on single-item sleep measures than multi-item sleep measures. Across all sleep parameters, problematic gamers consistently reported a more adverse sleep status than non-problematic gamers.