Evidence map›Paper›PMID 40309015›Full record

ArticleAutism in adulthood2025

Longitudinal Relationships Between Depressive Attributional Style and Internalizing Symptoms in an Autism-Enriched Sample of Incoming College Students.

Sydney R Terroso, Erin E McKenney, Steven M Brunwasser, Jared K Richards, Talena C Day, Bella Kofner, Rachel G McDonald, Kristen Gillespie-Lynch, Erin Kang, Matthew D Lerner and 1 more

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Sydney R TerrosoDepartment of Psychology, Rowan University, Glassboro, New Jersey, USA.ORCID https://orcid.org/0000-0003-4373-6141
Erin E McKenneyDepartment of Psychology, Rowan University, Glassboro, New Jersey, USA.
Steven M BrunwasserDepartment of Psychology, Rowan University, Glassboro, New Jersey, USA.
Jared K RichardsDepartment of Psychology, Stony Brook University, Stony Brook, New York, USA.
Talena C DayDepartment of Psychology, Stony Brook University, Stony Brook, New York, USA.
Bella KofnerDepartment of Psychology, College of Staten Island, Staten Island, New York, USA.
Rachel G McDonaldDepartment of Psychology, Montclair State University, Montclair, New Jersey, USA.
Kristen Gillespie-LynchDepartment of Psychology, College of Staten Island, Staten Island, New York, USA.
Erin KangDepartment of Psychology, Montclair State University, Montclair, New Jersey, USA.
Matthew D LernerDepartment of Psychology, Stony Brook University, Stony Brook, New York, USA.ORCID https://orcid.org/0000-0002-7373-6663
Katherine O GothamDepartment of Psychology, Rowan University, Glassboro, New Jersey, USA.

Funding

Repetitive Thinking and Emotional Health in Adults with ASDR01MH113576 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GOTHAM, KATHERINE O · 2018 to 2022
$2.0M
NIMH NIH HHS R01 MH113576
6 · The paper itself

Abstract

Background: Anxiety and depression are among the most common psychiatric conditions reported in first-year college students. Autistic adults are estimated to face double the rate of anxiety and depression compared with non-autistic peers, influencing quality of life, social success, and academic performance. One potential avenue to understand and address internalizing symptoms in autistic adults beginning their college careers is depressive attributional style, a biased causal explanatory style in which negative life events are attributed to internal, stable, and global causes. The current study evaluates the relationship between depressive attributional style and symptoms of anxiety and depression across the first semester of college, as moderated by autistic traits. We also explore baseline depressive attributional style across additional marginalized aspects of identity based on race/ethnicity, gender, and sexual orientation, and examine potential interaction effects of autistic traits on these relationships. Methods: Undergraduate students were recruited from four northeastern universities. Our sample ( Results: Longitudinal analyses demonstrate that elevated depressive attributional style at baseline predicted biweekly anxiety, sadness, and anhedonia symptoms across the semester. This pattern extended across (was not moderated by) levels of autistic traits, however, participants who reported higher autistic traits endorsed a significantly greater depressive attributional style at baseline, and greater anxiety, sadness, and anhedonia throughout the semester. The relationship between autistic traits and depressive attributional style was strongest for participants with a nonheterosexual orientation. Conclusion: This study underscores the autistic community-identified need for mental health research, with attention to intersecting identities, and suggests depressive attributional style for further investigation as a potential treatment target. Abstract: In the first year of college, many students face challenges with anxiety and depression. Autistic students report even higher mental health concerns than non-autistic students. One way to understand why this happens is by looking at how college students explain negative events in their lives. Autistic students may have a more depressive attributional style, in which they see themselves as a cause of negative events and believe that bad things will persist. This outlook is known to contribute to anxiety and depression. Abstract: We wanted to see how a depressive attributional style might relate to anxiety and depression over the first semester of college, and whether this is affected by autistic traits and stress. We also looked at how autistic traits influence the relationship between depressive attributional style and the marginalized aspects of identity based on race/ethnicity, gender, and sexual orientation. Abstract: We gave surveys to college students about their attributional style and experiences with depression and anxiety. Participants completed several surveys both before and after their first semester at college. They also completed a brief survey two times per week during the semester. Abstract: We found that a depressive attributional style at baseline (presemester) was related to depression and anxiety symptoms across the semester. Participants with higher levels of autistic traits reported a more depressive attributional style and greater depression and anxiety during the semester. Individuals with higher autistic traits who identify as LGBTQIA+ were more likely than heterosexual individuals with high autistic traits to have a more depressive attributional style. Abstract: This study helps us understand that a depressive attributional style might be related to anxiety and depression in both autistic and non-autistic students. In addition, a depressive attributional style may be more common in autistic individuals. These findings could mean that helping people develop a more adaptive thinking about negative events could help prevent or treat anxiety and depression in college students. Abstract: Because we wanted our study to be accessible for autistic students without a formal diagnosis, we were unable to look at how the social identity of being autistic related to anxiety and depression throughout the semester. Abstract: These findings give us first evidence that a depressive attributional style appears to be related to anxiety and depression in autistic students. This suggests that interventions designed to address the depressive attributional style in non-autistic individuals could potentially benefit autistic individuals as well, which may support access to mental health treatment for the autistic community.

Indexed as

anxietyattributional styleautismcollege mental healthdepression

Identifiers

PMID40309015
PMCPMC12038352

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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.