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Record W4410848691 · doi:10.2196/66388

Web-Based Stress Management for Working Adults With Attention-Deficit/Hyperactivity Disorder (ADHD): Single-Arm, Open Pilot Trial

2025· article· en· W4410848691 on OpenAlexvenueno aff
Martin Oscarsson, Stefan Hammarbäck, Karolina Blom Wiberg, Alexander Rozental, Ylva Ginsberg, Per Carlbring, Gerhard Andersson, Fredrik U. Jönsson

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyPsychological interventionAttention deficit hyperactivity disorderQuality of life (healthcare)Clinical psychologyIntervention (counseling)Perceived Stress ScalePopulationPsychologyStress managementDepression (economics)PsychiatryMedicineStress (linguistics)Psychotherapist

Abstract

fetched live from OpenAlex

Background: National and international guidelines advocate for a multimodal approach to treating adult attention-deficit/hyperactivity disorder (ADHD), combining pharmacotherapy with psychological interventions. While recent reviews support cognitive behavioral therapy (CBT) as a viable treatment for ADHD in adults, evidence remains limited. Another challenge is the availability of psychological interventions, with stimulants remaining the primary treatment choice for adults with ADHD. One promising approach to increasing access to psychological interventions is the dissemination of internet-delivered CBT. Objective: This study evaluated the feasibility, acceptability, and effects of a guided web-based stress management program specifically designed for working adults with ADHD. The intervention aimed to enhance quality of life by addressing stress, exhaustion, anxiety, and depression, commonly experienced by this population. Methods: Thirty-six participants took part in a single-arm open trial, with assessments before, during, and after the intervention. The intervention consisted of 12 modules based on CBT principles, focusing on executive functioning, stress management, and emotion regulation, with clinician support on demand. Primary and secondary outcomes included quality of life (Adult ADHD Quality of Life Scale [AAQoL]), perceived stress (Perceived Stress Scale [PSS-10]), exhaustion (Karolinska Exhaustion Disorder Scale [KEDS]), anxiety (Generalized Anxiety Disorder 7-item Scale [GAD-7]), depression (Patient Health Questionnaire [PHQ-9]), and ADHD symptoms (the World Health Organization Adult ADHD Self-Report Scale [ASRS]). Results: Results indicated a statistically and clinically significant improvement in quality of life (Cohen d=0.84), and a reduction in ADHD symptoms (d=0.98), as well as statistically significant reductions in perceived stress (d=0.83), exhaustion (d=1.12), anxiety (d=1.70), and depression (d=1.25). Improvements were sustained at a 12-week follow-up. A clinically significant improvement in quality of life was observed in 36% (13/36) of participants. Participants reported high satisfaction with the program and the guidance. Adherence was high, with an overall assessment response rate of 84%, a mean of 78% of modules opened, and no explicit dropouts. Twelve of the 36 participants reported negative effects. Qualitative content analysis of participants' written feedback revealed positive experiences and suggestions for improvement. Conclusions: This study suggests promise for web-delivered interventions tailored to the needs of adults with ADHD, pending further research and development in controlled studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.429
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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