Publications by authors named "Haijing Wu Hallenbeck"

Affect-as-information theory posits that understanding of one's emotions (i.e., emotional clarity) can be leveraged to make decisions and attain goals.

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Researchers at the Department of Veterans Affairs (VA) have studied interventions for posttraumatic stress disorder and co-occurring conditions in both traditional and digital formats. One such empirically supported intervention is web skills training in affective and interpersonal regulation (webSTAIR), a coached, 10-module web program based on STAIR. To understand which patient characteristics were predictive of webSTAIR outcomes in a sample of trauma-exposed veterans ( = 189), we used machine learning (ML) to develop a prognostic index from among 18 baseline characteristics (i.

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Background: Posttraumatic stress disorder (PTSD) among US military veterans can adversely impact their concerned significant others (CSOs; eg, family members and romantic partners). Mobile apps can be tailored to support CSO mental health through psychoeducation, coping skills, and stress monitoring.

Objective: This study assessed the feasibility, acceptability, and potential efficacy of PTSD Family Coach 1.

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Insomnia is highly prevalent among military veterans but access to cognitive-behavioral therapy for insomnia (CBT-I) is limited. Thus, this study examined the feasibility, acceptability, and potential efficacy of Insomnia Coach, a CBT-I-based, free, self-management mobile app. Fifty U.

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Background: With widespread smartphone ownership, mobile health apps (mHealth) can expand access to evidence-based interventions for mental health conditions, including posttraumatic stress disorder (PTSD). Research to evaluate new features and capabilities in these apps is critical but lags behind app development. The initial release of PTSD Coach, a free self-management app developed by the US Departments of Veterans Affairs and Defense, was found to have a positive public health impact.

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Indecisiveness is a prevalent and impairing symptom among individuals with major depressive disorder (MDD). However, the use of different self-report questionnaires and factor analysis methods in past research has been a barrier to understanding the nature of indecisiveness in depression. Addressing these barriers could help to elucidate the dimensionality and validity of indecisiveness questionnaires, which in turn would clarify the relation of indecisiveness to depression.

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