Brief report: examining the link between autistic traits and compulsive Internet use in a non-clinical sample.

Finkenauer et al. (2012) followed neurotypical adults who filled out two online surveys one year apart. They scored autistic traits and tracked how often and how compulsively people used the Internet.

The team wanted to know if higher traits would forecast growing compulsive use even when total online time stayed the same.

People with more autistic traits became more compulsive Internet users over the year. The link was strongest among women.

Surprisingly, overall Internet frequency did not differ between high- and low-trait groups. Only the compulsive, hard-to-stop pattern rose.

Lu et al. (2022) conceptually replicated the link in Chinese college students, showing traits predicted excessive smartphone use through social anxiety and loneliness. Catrin’s earlier study did not test mediators, so Minghui extends the story.

Libero et al. (2016) described risky Internet habits in adults with Williams syndrome. Their descriptive case series complements Catrin’s predictive design; together they flag different at-risk groups online.

Zhang et al. (2024) found null direct effects of traits on prosocial behavior, highlighting that traits alone do not predict every social outcome. The contrast underlines Catrin’s specific finding: compulsive Internet use is one domain where traits do matter.

You can’t judge risk by screen-time logs alone. Ask clients (especially females) with high autistic traits about urges to stay online, loss of control, or distress when offline. Add brief questions on social anxiety and loneliness, following Lu et al. (2022), to spot the pathway early. Target coping skills, not just time limits.