Research Review: A systematic review and meta‐analysis of sex/gender differences in social interaction and communication in autistic and nonautistic children and adolescents
Henry Wood‐Downie, Bonnie Wong, Hanna Kovshoff, Samuele Cortese, Julie A. Hadwin
Abstract
BACKGROUND: Evidence increasingly suggests that ASD manifests differently in females than males. Previous reviews investigating sex/gender differences in social interaction and social communication have focused at the level of broad constructs (e.g. comparing algorithm scores from pre-existing diagnostic instruments) and have typically reported no significant differences between males and females. However, a number of individual studies have found sex/gender differences in narrow construct domains. METHODS: We conducted a systematic review and random effects model meta-analyses (in January 2019 and updated January 2020) that investigated sex/gender differences in narrow construct measures of social communication and interaction in autistic and nonautistic children and adolescents, and adults. Study quality was appraised using the Appraisal Tool for Cross-Sectional Studies (AXIS, BMJ Open, 6, 2016, 1). RESULTS: Across 16 studies (including 2,730 participants), the analysis found that female (vs. male) individuals with ASD had significantly better social interaction and social communication skills (SMD = 0.39, p < .001), which was reflective of a similar sex/gender profile in nonautistic individuals (SMD = 0.35, p < .001). Nonautistic males had significantly better social interaction and communication than males with ASD (SMD = 0.77, p < .001). Nonautistic females also had significantly better social interaction and communication than females with ASD (SMD = 0.72, p <.001). Nonautistic males had better social interaction and communication than females with ASD, though this difference was not significant (SMD = 0.30, p = .07). CONCLUSIONS: This systematic review and meta-analysis highlighted important sex/gender differences in social interaction and communication for individuals with ASD, likely not captured by pre-existing diagnostic instruments, which potentially contribute to the under recognition of autism in females, and may need to be reflected in the diagnostic process.