Assortative mating, autistic traits, empathizing, and systemizing
Richards, G.; Baron-Cohen, S.; Stokes, H.; Warrier, V.; Mellor, B.; Winspear, E.; Davies, J.; Gee, L.; Galvin, J.
Show abstract
It has been suggested that the children of parents with particular interests and aptitude for understanding systems via input-operation-output rules (i.e. systemizing) are at increased likelihood of developing autism. Furthermore, assortative mating (i.e. a non-random pattern in which individuals are more likely to pair with others who are similar to themselves) is hypothesised to occur in relation to systemizing, and so romantic couples may be more similar on this variable than chance would dictate. However, no published study has yet tested this hypothesis. We therefore examined intra-couple correlations for a measure of autistic traits (Autism Spectrum Quotient [AQ]), self-report measures of empathizing (Empathy Quotient [EQ]), and systemizing (Systemizing Quotient-Revised [SQ-R]), as well as the Reading the Mind in the Eyes Test (RMET) and Embedded Figures Task (EFT). We observed positive intra-couple correlations of small-to-medium magnitude for all measures except EQ. Further analyses suggest that these effects are attributable to people pairing with those who are more similar to themselves than chance (initial assortment) rather than becoming more alike over the course of a relationship (convergence), and to seeking out self-resembling partners (active assortment) rather than pairing in this manner due to social stratification increasing the likelihood of similar people meeting in the first place (social homogamy). Additionally, we found that the difference in scores for the AQ, SQ-R, RMET and EFT of actual couples were smaller (i.e. more similar) than the average difference scores calculated from all other possible male-female pairings within the dataset. The current findings therefore provide clear evidence in support of the assortative mating theory of autism.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The prevalence and developmental course of auditory processing differences in autistic children 94%
- EEG frequency tagging evidence of intact social interaction recognition in adults with autism 93%
- Individuals with autism have no detectable deficit in neural markers of prediction error when presented with auditory rhythms of varied temporal complexity 93%
Similar papers in this journal
- Validation of the Social Responsiveness Scale (SRS) to screen for atypical social behaviors in juvenile macaques 93%
- Study protocol for the EYEdentify project: An examination of gaze behaviour in autistic adults using a virtual reality-based paradigm 92%
- The lived experience of rejection sensitivity in ADHD - a qualitative exploration 92%
Similar papers in this journal
- Theory of Mind and Moral Decision-Making in the Context of Autism Spectrum Disorder 95%
- The Brief Observation of Symptoms of Autism (BOSA): Development of a New Adapted Assessment Measure for Remote Telehealth Administration through COVID-19 and Beyond 93%
- Combinatorial language parent-report score differs significantly between typically developing children and those with Autism Spectrum Disorders 93%
Similar papers in this journal
- Intergenerational transmission of education and ADHD: Effects of parental genotypes 88%
- Partitioning the Genomic Components of Behavioral Disinhibition and Substance Use (Disorder) Using Genomic Structural Equation Modeling 86%
- MR-DoC2: bidirectional causal modeling with instrumental variables and data from relatives 86%
Similar papers in this journal
- Trajectories of imitation skills in preschoolers with Autism Spectrum Disorders 93%
- X- vs. Y-Chromosome Influences on Human Behavior: A Deep Phenotypic Comparison of Psychopathology in XXY and XYY Syndromes 91%
- Neural oscillatory dynamics reveal altered top-down and integrative mechanisms during face processing in autistic children and unaffected siblings of autistic children 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.