Background: Maternal mental health care is variable and with limited accessibility. Artificial intelligence (AI) conversational agents (CAs) could potentially play an important role in supporting maternal mental health and wellbeing. Our study examined data from real-world users who self-reported a maternal event while engaging with a digital mental health and wellbeing AI-enabled CA app (Wysa) for emotional support. The study evaluated app effectiveness by comparing changes in self-reported depressive symptoms between a higher engaged group of users and a lower engaged group of users and derived qualitative insights into the behaviors exhibited among higher engaged maternal event users based on their conversations with the AI CA.
Methods: Real-world anonymised data from users who reported going through a maternal event during their conversation with the app was analyzed. For the first objective, users who completed two PHQ-9 self-reported assessments ( = 51) were grouped as either higher engaged users ( = 28) or lower engaged users ( = 23) based on their number of active session-days with the CA between two screenings. A non-parametric Mann-Whitney test (M-W) and non-parametric Common Language effect size was used to evaluate group differences in self-reported depressive symptoms. For the second objective, a Braun and Clarke thematic analysis was used to identify engagement behavior with the CA for the top quartile of higher engaged users ( = 10 of 51). Feedback on the app and demographic information was also explored.
Results: Results revealed a significant reduction in self-reported depressive symptoms among the higher engaged user group compared to lower engaged user group (M-W = .004) with a high effect size (CL = 0.736). Furthermore, the top themes that emerged from the qualitative analysis revealed users expressed concerns, hopes, need for support, reframing their thoughts and expressing their victories and gratitude.
Conclusion: These findings provide preliminary evidence of the effectiveness and engagement and comfort of using this AI-based emotionally intelligent mobile app to support mental health and wellbeing across a range of maternal events and experiences.
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http://dx.doi.org/10.3389/fgwh.2023.1084302 | DOI Listing |
Dev Cogn Neurosci
January 2025
Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA.
The pituitary gland (PG) plays a central role in the production and secretion of pubertal hormones, with documented links to the increase in mental health symptoms during adolescence. Although literature has largely focused on examining whole PG volume, recent findings have demonstrated associations among pubertal hormone levels, including dehydroepiandrosterone (DHEA), PG subregions, and mental health symptoms during adolescence. Despite the anterior PG's role in DHEA production, studies have not yet examined potential links with transdiagnostic symptomology (i.
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December 2024
OCD Clinic, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), India.
Deep Brain Stimulation is a form of neurostimulation where electrical stimulation is delivered via intracranial electrodes over specific subcortical targets. It has been increasingly used as an alternative to ablative procedures for psychiatric disorders refractory to standard treatments. This review describes the common psychiatric indications for DBS, the current evidence base, putative mechanisms, and future directions.
View Article and Find Full Text PDFInfant Behav Dev
January 2025
Department of Psychology, Arizona State University, USA.
Background: Early intervention is effective for reducing ADHD symptoms and related impairments, yet methods of identifying young children in need of services are lacking. Most early predictors of ADHD previously identified are of limited clinical utility. This study examines several theoretically relevant predictors of ADHD in infancy and toddlerhood and whether assessment at multiple time points improves prediction.
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January 2025
Department of Pediatrics, Medical School, University of Michigan, Ann Arbor, MI, United States.
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January 2025
Mind-Body Medicine Lab, Department of Psychology and Neuroscience, Baylor University, Waco, TX, United States.
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View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!