Evidence map›Paper›PMID 40933685›Full record

ArticleAutism in adulthood2025

Mental Health as a Key Mediator for Outcomes in Postsecondary Education, Employment, and Everyday Living in Autistic Adults.

Mikle South, So Yeon Park, Molly Berman

Abstract read
In one paragraph

Article in Autism in adulthood, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mikle SouthDepartment of Psychiatry and Behavioral Sciences, Emory Autism Center, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-0152-1257
So Yeon ParkDepartment of Psychology, Brigham Young University, Provo, Utah, USA.
Molly BermanDepartment of Psychology, Marquette University, Milwaukee, Wisconsin, USA.ORCID https://orcid.org/0009-0001-8938-3727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the number of adults who identify as autistic increases, it is vital to understand factors that improve autonomy and achievement of a good life for autistic adults. Postsecondary education and employment may contribute to higher levels of independence but may also add stress and increase mental health concerns. This study aimed to explore interactions of mental health concerns with adaptive daily living (ADL) outcomes, defined for this study as postsecondary education and employment outcomes, in verbally fluent autistic adults. Methods: We surveyed 140 adults with confirmed ( Results: Autistic traits and camouflaging traits did not directly predict ADL outcomes. However, the mental health latent variable was a strong direct predictor of ADL outcomes in that worse mental health predicted better ADL; mental health also significantly mediated the relationships between autism traits and ADL and camouflaging traits and ADL. Conclusions: This sample self-reported substantial education and work experience, though not always at levels high enough to support independence. Nonetheless, overall success in adaptive daily activities remains a significant challenge. Importantly, success in school and work was predicted by poor mental health, an indicator of the high cost of fitting in with neurotypical expectations that highlights the need for neurotypical systems to better understand and accommodate unique strengths and support needs to facilitate success

Indexed as

adaptive livinganxietyautistic adultsdepressionemploymentmental healthpostsecondary education

Identifiers

PMID40933685
PMCPMC12417845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.