Avoidant/restrictive food intake disorder (ARFID) symptoms in gender diverse adults and their relation to autistic traits, ADHD traits, and sensory sensitivities.

Abstract

Background: There is emerging evidence to suggest gender diverse people are overrepresented in avoidant/restrictive food intake disorder (ARFID) samples. However, the mechanisms underlying elevated risk for ARFID in this group are currently unknown. Gender diversity and neurodivergence commonly co-occur, with elevated sensory sensitivities reported to be a shared experience common across autism, attention deficit hyperactivity disorder (ADHD), and ARFID. We aimed to examine the unique contribution of sensory sensitivities, including hypo- and hyper-sensitivity, in predicting ARFID symptoms in gender diverse adults, whilst controlling for autistic and ADHD traits.

Methods: Gender diverse adults (N = 182; 142 assigned female at birth; M age = 28.6 years) in the UK participated in an online survey. We examined correlations between their self-reported ARFID symptoms, sensory sensitivities, autistic traits (not including sensory sensitivities), and ADHD traits whilst controlling for weight and shape concerns. We then used hierarchical multiple regression to investigate the unique contribution of sensory sensitivities to ARFID symptoms whilst controlling for the other neurodivergent traits.

Results: In our gender diverse sample, higher levels of ARFID symptoms were associated with higher levels of sensory sensitivities, autistic traits, and ADHD traits, after controlling for weight and shape concerns. Furthermore, sensory sensitivities, specifically hyper-sensitivity, uniquely predicted levels of ARFID symptoms once we accounted for autistic and ADHD traits.

Conclusions: When considering neurodivergence, sensory hyper-sensitivities may be particularly relevant to ARFID symptomatology in gender diverse adults. Future research should explore associations between ARFID presentations and sensory sensitivities in large samples of gender diverse adults, to enable separate analyses by gender identity.