Evidence map›Paper›PMID 41675077›Full record

ArticleCognitive therapy and research2025

Examining State Affective and Cognitive Outcomes Following Brief Mobile Phone-Based Training Sessions to Reduce Anxious Interpretations.

Kaitlyn Petz, Emma Toner, Mark Rucker, Emily Leventhal, Sarah Livermon, Benjamin Davidson, Mehdi Boukhechba, Laura Barnes, Bethany Teachman

Abstract read
In one paragraph

Article in Cognitive therapy and research, 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

9 authors.

Kaitlyn PetzUniversity of Virginia, Charlottesville, United States.
Emma TonerUniversity of Virginia, Charlottesville, United States.
Mark RuckerUniversity of Virginia, Charlottesville, United States.
Emily LeventhalUniversity of Virginia, Charlottesville, United States.
Sarah LivermonUniversity of Virginia, Charlottesville, United States.
Benjamin DavidsonUniversity of Virginia, Charlottesville, United States.
Mehdi BoukhechbaJohnson & Johnson (United States), New Brunswick, United States.
Laura BarnesUniversity of Virginia, Charlottesville, United States.
Bethany TeachmanUniversity of Virginia, Charlottesville, United States.

Funding

Effectiveness of interpretation training to reduce anxiety: Evaluating technology-based delivery models and methods to reduce attritionR01MH113752 · NIMH · UNIVERSITY OF VIRGINIA · PI TEACHMAN, BETHANY A · 2017 to 2020
$2.5M
SCH: INT: Context-Aware Micro-Interventions for Social AnxietyR01MH132138 · NIMH · UNIVERSITY OF VIRGINIA · PI BARNES, LAURA ELIZABETH, TEACHMAN, BETHANY A · 2022 to 2025
$1.3M
Using computational modeling to formalize an integrated psychosocial theory of lonelinessF31MH136730 · NIMH · UNIVERSITY OF VIRGINIA · PI Emma Rose Toner · 2024 to 2026
$68k
NIMH NIH HHS F31 MH136730NIMH NIH HHS R01 MH113752NIMH NIH HHS R01 MH132138
6 · The paper itself

Abstract

Background: Rates of stress and anxiety are alarmingly high in university communities, but most people do not receive treatment. Mobile health (mHealth) interventions show promise to improve psychological symptoms and increase access to interventions, but little is known about their effects in the moment. The present study evaluated the short-term impact of brief mHealth sessions to determine which intervention features are associated with the greatest momentary self-reported improvements. Methods: Participants ( Results: Self-reported improvement in state affect, reappraisal self-efficacy, and emotion regulation self-efficacy occurred for six out of eight stressor domains. Additionally, training sessions requiring less (vs. more) writing were associated with greater positive changes in affect, but not reappraisal or emotion regulation self-efficacy. Conclusion: Stressor domain and writing requirements are associated with different in-the-moment cognitive and affective outcomes, pointing to the need to tailor mHealth programs to users' specific needs and current stressors.

Indexed as

AffectAnxietyCognitive bias modificationEcological momentary assessmentmHealth

Identifiers

PMID41675077
PMCPMC12890198

What OpenQuestion holds

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Registered trials

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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.