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Efficacy of digital brief behavioural treatment for insomnia using a smartphone application in conjunction with light therapy in university students with insomnia symptoms with late chronotypes: A pilot randomized-controlled trial.
Furihata R
,Shimamoto T
,Ikeda Y
,Makino Y
,Nakagami Y
,Tateyama Y
,Okabayashi S
,Akahoshi T
,Kiyohara K
,Iwami T
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Digital Cognitive Behavioral Therapy-Based Treatment for Insomnia, Nightmares, and Posttraumatic Stress Disorder Symptoms in Survivors of Wildfires: Pilot Randomized Feasibility Trial.
Symptoms of insomnia, nightmares, and trauma are highly prevalent. However, there are significant barriers to accessing evidence-based treatments for these conditions, leading to poor mental health outcomes.
This pilot trial evaluated the feasibility of a 4-week, digital self-paced intervention combining cognitive behavioral therapy for insomnia and exposure, relaxation, and rescripting therapy for nightmares in survivors of wildfires from Australia, Canada, and the United States.
Study participants were recruited between May 2023 and December 2023 through social media platforms, workshops, conferences, and radio interviews. Participants had to meet at least one of the following criteria: a score of ≥8 on the Insomnia Severity Index, a score of ≥3 on the Nightmare Disorder Index, or a score of ≥31 on the PTSD Checklist for DSM-5. In total, 30 survivors of wildfires were allocated to either the treatment group (n=16, 53%) or the waitlist control group (n=14, 47%) in a sequential manner. Participants' ages ranged from 18 to 79 years, with a mean age of 52.50 (SD 16.26) years. The cohort consisted of 63% (19/30) female and 37% (11/30) male participants. Participants also completed self-report secondary outcome measures, including the Generalized Anxiety Disorder-7, the Patient Health Questionnaire-9, and the Pittsburgh Sleep Quality Index, via the HealthZone digital platform. Assessments were conducted at baseline, the posttreatment time point, and the 3-month follow-up, with the waitlist group undergoing an additional assessment at the pretreatment time point, after 4 weeks of waiting and before crossing over to treatment. This study used intention-to-treat analysis as a primary analysis and per-protocol analysis as a secondary analysis.
Mixed-effects linear regression models and difference-in-differences analyses were used to assess the intervention's effects. The intention-to-treat analysis revealed significant improvements over time (main effect of time), with a 1.64-point reduction (P=.001) on the Nightmare Disorder Index and 10.64-point reduction (P=.009) on the PTSD Checklist for DSM-5 at the postintervention time point. No significant changes were observed in insomnia symptoms. On the secondary measures, there was an interaction effect of condition × time, with a 2.22-point reduction (P<.001) on the Pittsburgh Sleep Quality Index, and a main effect of time, with a 6.48-point reduction (P<.001) on the Patient Health Questionnaire-9. No changes were detected on the Generalized Anxiety Disorder-7. The per-protocol analysis yielded comparable results for both the primary and secondary measures.
The findings of this pilot trial demonstrated a reduction in nightmares and trauma symptoms. Future research studies should aim at evaluating the intervention in a more definitive trial with a larger sample size.
Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12623000415606; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=385054.
Isaac F
,Klein B
,Nguyen H
,Watson S
,Kennedy GA
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Bedtime music therapy for college students with insomnia: A randomized assessor-blinded controlled trial.
Insomnia, a prevalent sleep disorder in contemporary society, frequently coexists with other mental health conditions such as depression, schizophrenia, and obsessive-compulsive disorder. Sleep disorders can compromise daytime functioning and overall quality of life. While music has been explored as an adjunct therapy for insomnia, its efficacy in improving insomnia among students remains unclear.
Seventy-five students, aged between 18 and 30 years with an average age of 20.97 years (SD: 1.92), presenting sleep issues were randomly allocated to one of three groups: the classical music group, the jazz music group, and the control group, each with 25 participants. Participants in the classical and jazz music group were instructed to listen to classical or jazz music for a minimum of 30 min preceding bedtime. This was paired with deep breathing and relaxation techniques, practiced two consecutive nights per week from 23:00 to 01:00 over a five-week intervention period. Conversely, participants in the control group were only directed to follow the deep breathing and relaxation techniques before sleep on two consecutive nights weekly. Insomnia severity with the Insomnia Severity Index (ISI), sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), depressive symptoms with the Beck Depression Inventory-II (BDI- II), and anxiety symptoms with the Self-rating Anxiety Scale (SAS). Measurements were taken at baseline, after the second week of intervention, at the intervention's conclusion (five weeks), and two months post-intervention (follow-up).
1. The music groups showed a significant difference in insomnia severity compared with the control group after five weeks of intervention(p < .05). 2. music groups exhibited significant enhancements in sleep quality relative to the control group after a five-week intervention (p < .05). 3. Regarding mood enhancement, music groups showed significant improvements in depression and anxiety symptoms compared to the baseline after the five-week intervention. Notably, the control group also displayed improvements in these symptoms post-intervention.
1. Integrating music into a consistent bedtime routine ameliorates sleep quality and insomnia severity. However, no specific genre of music emerged as the superior choice for pre-sleep listening. 2. While music can considerably enhance mood indicators like depression and anxiety, techniques such as deep breathing and mindfulness also contribute positively. 3. Incorporating music before sleep tangibly elevates overall quality of life and daytime functioning.
ChiCTR2300073953.
Yan D
,Wu Y
,Luo R
,Yang J
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A Mobile App-Based Gratitude Intervention's Effect on Mental Well-Being in University Students: Randomized Controlled Trial.
Gratitude interventions are used to cultivate a sense of gratitude for life and others. There have been mixed results of the efficacy of gratitude interventions' effect on psychological well-being with a variety of populations and methodologies.
The objective of our study was to test the effectiveness of a gratitude intervention smartphone app on university students' psychological well-being.
We used a randomized experimental design to test our objective. Participants were recruited undergraduate students from a web-based university study recruitment system. Participants completed 90 web-based survey questions on their emotional well-being and personality traits at the beginning and end of the 3-week research period. Their depression, anxiety, and stress levels were measured with the Depression, Anxiety, and Stress Scale (DASS-21). After the baseline survey, participants were randomly assigned to either the control or the intervention. Participants in the intervention group used both a fully automated mobile sensing app and a gratitude intervention mobile iOS smartphone app designed for youth users and based on previous gratitude interventions and exercises. The gratitude intervention app prompted users to complete daily gratitude exercises on the app including a gratitude journal, a gratitude photo book, an imagine exercise, a speech exercise, and meditation. Participants in the control group used only the mobile sensing app, which passively collected smartphone sensory data on mobility, screen time, sleep, and social interactions.
A total of 120 participants met the inclusion criteria, and 27 were lost to follow-up for a total of 41 participants in the intervention group and 52 in the control group providing complete data. Based on clinical cutoffs from the baseline assessment, 56 out of 120 participants were identified as being in a subsample with at least moderate baseline symptomatology. Participants in the subsample with at least moderate baseline symptomatology reported significantly lower symptoms of depression, anxiety, and stress postintervention (Cohen d=-0.68; P=.04) but not in the full sample with low baseline symptomatology (Cohen d=0.16; P=.46). The number of times the app was accessed was not correlated with changes in either the subsample (r=0.01; P=.98) or the full sample (r=-0.04; P=.79).
University students experiencing moderate to severe distress can benefit from a gratitude intervention smartphone app to improve symptoms of depression, anxiety, and stress. The number of times the gratitude intervention app was used is not related to well-being outcomes. Clinicians could look at incorporating gratitude apps with other mental health treatments or for those waitlisted as a cost-effective and minimally guided option for university students experiencing psychological distress.
Fuller C
,Marin-Dragu S
,Iyer RS
,Meier SM
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《JMIR mHealth and uHealth》
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Assessment of an App-Based Sleep Program to Improve Sleep Outcomes in a Clinical Insomnia Population: Randomized Controlled Trial.
Insomnia is the most commonly reported sleep disturbance and significantly impacts mental health and quality of life. Traditional treatments for insomnia include pharmacological interventions or cognitive behavioral therapy for insomnia (CBT-I), but these options may not be accessible to everyone who needs treatment.
This study aims to assess the effectiveness of the app-based Headspace Sleep Program in adults with clinical insomnia on sleep disturbance and mental health outcomes, compared with a waitlist control group.
This randomized controlled trial included 132 adults with clinical insomnia who were assigned to either the Headspace Sleep Program (an 18-session self-guided, in-app program utilizing CBT-I techniques augmented by mindfulness) or a waitlist control group. Sleep disturbance outcomes were assessed by changes in insomnia symptoms (measured using the Insomnia Severity Index) and sleep efficiency (measured via sleep diary and actigraphy). Mental health outcomes included perceived stress (measured by the 10-item Perceived Stress Scale), depressive symptoms (measured by the 8-item Patient Health Questionnaire), sleep quality (measured by the Pittsburgh Sleep Quality Index), anxiety symptoms (measured by the 7-item Generalized Anxiety Disorder Scale), and mindfulness (measured by the Mindful Attention Awareness Scale). Changes from baseline to postintervention and follow-up were assessed for each outcome.
Participants had a mean (SD) age of 37.2 (10.6) years, with 69 out of 132 (52.3%) identifying as female. Those randomized to the Headspace Sleep Program group experienced significantly greater improvements in insomnia symptoms from baseline to postintervention and follow-up compared with participants in the waitlist control group (P<.001, η²p=0.107). Improvements from baseline to postintervention and follow-up were also observed in the Headspace Sleep Program group for sleep efficiency, as measured by both sleep diary (P=.01, η²p=.03) and actigraphy outcomes (P=.01, η²p=.03). Participants in the Headspace Sleep Program group showed greater improvements in insomnia remission rates (8/66, 12%, at postintervention and 9/66, 14%, at follow-up) and treatment response (11/66, 17%, at postintervention and 15/66, 23%, at follow-up) compared with the control group (remission rate 2/66, 3%, at postintervention and 0/66, 0%, at follow-up; treatment response 3/66, 5%, at postintervention and 1/66, 2%, at follow-up). The results suggest significant improvements in depressive symptoms (P=.01, η²p=.04), anxiety symptoms (P=.02, η²p=.02), and mindfulness (P=.01, η²p=.03) in the Headspace Sleep Program group.
The Headspace Sleep Program is an effective intervention for improving sleep disturbances in adults with clinical insomnia.
ClinicalTrials.gov NCT05872672; https://clinicaltrials.gov/ct2/show/NCT05872672.
Staiano W
,Callahan C
,Davis M
,Tanner L
,Coe C
,Kunkle S
,Kirk U
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《JMIR mHealth and uHealth》