A person-centred, latent profile analysis of assistive technology needs among autistic adults in employment

This study aimed to identify distinct profiles of assistive technology (AT) needs among autistic adults in employment contexts and examine whether these profiles predict differences in life satisfaction. It also explored individual characteristics associated with profile membership.

A total of 501 autistic adults completed an online survey assessing employment-related AT needs, AT awareness, life satisfaction and demographic characteristics. Latent profile analysis was used to identify subgroups based on AT needs. A Wald chi-square test was conducted to assess whether life satisfaction differed across the identified profiles, and a multinomial logistic regression was conducted to examine predictors of profile membership.

Three AT needs profiles emerged: low, mid and high. Life satisfaction significantly differed across profiles, with individuals in the high-needs group reporting greater life satisfaction than those in the mid-needs group. Additionally, greater AT awareness and older age were significant predictors of high-needs profile membership.

Findings suggest that AT needs profiles are meaningfully associated with life satisfaction. Individuals with greater AT needs may be more engaged in identifying support and exercising personal agency, which contributes to well-being. These results underscore the importance of promoting awareness and inclusive AT services to improve life satisfaction among autistic adults in employment.