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A systematic review and meta-analysis of behavioural sex differences in executive control

期刊

EUROPEAN JOURNAL OF NEUROSCIENCE
卷 53, 期 2, 页码 519-542

出版社

WILEY
DOI: 10.1111/ejn.14946

关键词

cognition; cognitive flexibility; response inhibition; sex

资金

  1. ARC Centre of Excellence in Integrative Brain Function [2016]
  2. National Health and Medical Research Council [GNT1154651]

向作者/读者索取更多资源

The study found no overall behavioral sex differences in executive control, but task-specific sex differences were identified. Future research needs to better control for age and sex hormone levels to understand sex differences within specific tasks.
Literature investigating whether an individuals' sex affects their executive control abilities and performance on cognitive tasks in a normative population has been contradictory and inconclusive. Using meta-analytic procedures (abiding by PRISMA guidelines), this study attempts to identify the magnitude of behavioural sex differences in three prominent executive control domains of cognitive set-shifting, performance monitoring, and response inhibition. PubMed, Web of Science, and Scopus were systematically searched. Across 46 included studies, a total of 1988 females and 1884 males were included in the analysis. Overall, males and females did not differ on performance in any of the three domains of performance monitoring, response inhibition, or cognitive set-shifting. Task-specific sex differences were observed in the domains of performance monitoring, in the CANTAB Spatial Working Memory task-males scored statistically higher than females (Hedges'g = -0.60), and response inhibition, in the Delay Discounting task-females scored statistically higher than males (Hedges'g = 0.64). While the meta-analysis did not detect overall behavioural sex differences in executive control, significant heterogeneity and task-specific sex differences were found. To further understand sex differences within these specific tasks and domains, future research must better control for age and sex hormone levels.

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