A Meta-Analysis of the Impact of Short-Term Sleep Deprivation on Cognitive Variables

Autor/inn/en	Lim, Julian; Dinges, David F.
Titel	A Meta-Analysis of the Impact of Short-Term Sleep Deprivation on Cognitive Variables
Quelle	In: Psychological Bulletin, 136 (2010) 3, S.375-389 (15 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-2909
DOI	10.1037/a0018883
Schlagwörter	Sleep; Cognitive Tests; Short Term Memory; Effect Size; Attention; Meta Analysis; Cognitive Processes; Thinking Skills; Logical Thinking; Predictor Variables; Correlation + Suchen Sie Ihr Suchwort? Schlaf; Kognitiver Fähigkeitstest; Kurzzeitgedächtnis; Aufmerksamkeit; Meta-analysis; Metaanalyse; Cognitive process; Kognitiver Prozess; Denkfähigkeit; Prädiktor; Korrelation
Abstract	A substantial amount of research has been conducted in an effort to understand the impact of short-term (less than 48 hr) total sleep deprivation (SD) on outcomes in various cognitive domains. Despite this wealth of information, there has been disagreement on how these data should be interpreted, arising in part because the relative magnitude of effect sizes in these domains is not known. To address this question, we conducted a meta-analysis to discover the effects of short-term SD on both speed and accuracy measures in 6 cognitive categories: simple attention, complex attention, working memory, processing speed, short-term memory, and reasoning. Seventy articles containing 147 cognitive tests were found that met inclusion criteria for this study. Effect sizes ranged from small and nonsignificant (reasoning accuracy: g[macron] = -0.125, 95% CI [-0.27, 0.02]) to large (lapses in simple attention: g[macron] = -0.776, 95% CI [-0.96, -0.60], p less than 0.001). Across cognitive domains, significant differences were observed for both speed and accuracy; however, there were no differences between speed and accuracy measures within each cognitive domain. Of several moderators tested, only time awake was a significant predictor of between-studies variability, and only for accuracy measures, suggesting that heterogeneity in test characteristics may account for a significant amount of the remaining between-studies variance. The theoretical implications of these findings for the study of SD and cognition are discussed. (Contains 2 footnotes, 4 tables, and 3 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10