The Effects of a Single-Session Virtual Rumination Intervention to Enhance Cognitive Functioning in Veterans With Subjective Cognitive Symptoms: Multimethod Pilot Study
Notice bibliographique
Résumé
BACKGROUND: Subjective cognitive concerns (SCCs) entail perceived difficulties in thinking or memory, often reported without substantial objective evidence of cognitive impairment. These concerns are prevalent among individuals with a history of brain injuries, neurological conditions, or chronic illnesses, contributing to both psychological distress and functional limitations. They are increasingly considered to be a risk factor for future objective decline. A considerable number of individuals reporting SCCs also exhibit mental health symptoms, such as a history of trauma, depression, or anxiety. Interventions that address modifiable emotional and cognitive factors related to SCC could improve functioning and quality of life. Therefore, the use of emotion regulation strategies, especially those directed at minimizing rumination, could serve as a promising focus for interventions aimed at mitigating subjective cognitive concerns in veteran populations. OBJECTIVE: This pilot study explored the feasibility, acceptability, and preliminary efficacy of a brief, 1-session emotion regulation intervention called "Worry Less, Remember More." The Worry Less, Remember More intervention was designed to reduce rumination and improve subjective cognitive functioning in veterans with subjective cognitive changes (N=15). METHODS: We randomized 15 veterans to either the active telehealth condition or waitlist control and completed the intervention. Participants were aged between 31 and 67 (mean 49.5, SD 10.1) years, and the sample was primarily male (12/15, 83%) and White (10/15, 67%). The most common diagnoses were posttraumatic stress disorder and depression. Following the intervention, veteran input was sought through semistructured interviews with a subset of 12 participants, examining feasibility, acceptability, and perceived efficacy. Preliminary efficacy was also measured using pre- and postintervention self-report measures. RESULTS: Veterans reported that this intervention was acceptable, with 92% (11/12) of the sample reporting that they benefited from the intervention and would recommend the intervention to others with similar difficulties. Semistructured interviews revealed difficulties with feasibility, including problems with the remote consenting process, forgetting appointments, and needing additional strategies to remember to consistently use the interventions. The intervention improved self-reported cognitive symptoms on quantitative measures but did not improve self-reported rumination. CONCLUSIONS: This pilot study establishes the preliminary feasibility, acceptability, and efficacy of the Worry Less, Remember More intervention for veterans with subjective cognitive symptoms. Future iterations of the intervention may benefit from simplifying the electronic consent process, providing reminders for appointments, and incorporating compensatory cognitive strategies to assist with using the telehealth system, as well as applying the strategies learned in the intervention. While future research is needed with larger samples, including nonveteran populations, the intervention may also be a useful clinical tool to bridge care between neuropsychology clinics and mental health treatment.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».