Internet Interventions-The Application of Information Technology in Mental and Behavioural Health最新文献

{"title":"Artificial intelligence vs. human expert: Licensed mental health clinicians' blinded evaluation of AI-generated and expert psychological advice on quality, empathy, and perceived authorship","authors":"Ludwig Franke Föyen ,&nbsp;Emma Zapel ,&nbsp;Mats Lekander ,&nbsp;Erik Hedman-Lagerlöf ,&nbsp;Elin Lindsäter","doi":"10.1016/j.invent.2025.100841","DOIUrl":"10.1016/j.invent.2025.100841","url":null,"abstract":"<div><h3>Background</h3><div>The use of artificial intelligence for psychological advice shows promise for enhancing accessibility and reducing costs, but it remains unclear whether AI-generated advice can match the quality and empathy of experts.</div></div><div><h3>Method</h3><div>In a blinded, comparative cross-sectional design, licensed psychologists and psychotherapists assessed the quality, empathy, and authorship of psychological advice, which was either AI-generated or authored by experts.</div></div><div><h3>Results</h3><div>AI-generated responses were rated significantly more favorable for emotional (OR = 1.79, 95 % CI [1.1, 2.93], <em>p</em> = .02) and motivational empathy (OR = 1.84, 95 % CI [1.12, 3.04], <em>p</em> = .02). Ratings for scientific quality (<em>p</em> = .10) and cognitive empathy (<em>p</em> = .08) were comparable to expert advice. Participants could not distinguish between AI- and expert-authored advice (<em>p</em> = .27), but <em>perceived</em> expert authorship was associated with more favorable ratings across these measures (ORs for perceived AI vs. perceived expert ranging from 0.03 to 0.15, all <em>p</em> &lt; .001). For overall preference, AI-authored advice was favored when assessed blindly based on its actual source (<em>β</em> = 6.96, <em>p</em> = .002). Nevertheless, advice <em>perceived</em> as expert-authored was also strongly preferred (<em>β</em> = 6.26, <em>p</em> = .001), with 93.55 % of participants preferring the advice they believed came from an expert, irrespective of its true origin.</div></div><div><h3>Conclusions</h3><div>AI demonstrates potential to match expert performance in asynchronous written psychological advice, but biases favoring perceived expert authorship may hinder its broader acceptance. Mitigating these biases and evaluating AI's trustworthiness and empathy are important next steps for safe and effective integration of AI in clinical practice.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"Article 100841"},"PeriodicalIF":3.6,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The use of co-design with young people for digital mental health support development: A systematic review","authors":"Órla McGovern,&nbsp;Shauna Glennon,&nbsp;Isobel Walsh,&nbsp;Pamela Gallagher,&nbsp;Darragh McCashin","doi":"10.1016/j.invent.2025.100835","DOIUrl":"10.1016/j.invent.2025.100835","url":null,"abstract":"<div><div>Co-design methods offer an opportunity to meaningfully involve young people in research to ensure that designed supports are useable and responsive to their needs. However, how co-design is currently being applied with young people in the digital mental health field is unclear. This review aimed to critically synthesise the use of co-design with young people to design or modify digital mental health interventions and supports. Six databases were searched for empirical papers published in English from 2012 onwards. Papers were included if they reported on young people aged up to 25 years of age who were involved in the co-design of an online mental health intervention or support. A narrative synthesis of 30 papers meeting these specific criteria was completed. The results highlighted an interchangeable and inconsistent terminology used to described co-design and related approaches across papers. The level of inclusion of young people varied and there was a lack of consideration for power dynamics. Future research should aim to establish a clear and consistent definition and terminology for co-design along with a rigorous gold-standard framework for reporting co-design in order to ensure the process is being carried out in line with its original purpose. Implications for research and practice in the youth co-design field are discussed.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"Article 100835"},"PeriodicalIF":3.6,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Symptom heterogeneity in students with mild to severe depression symptomatology and their differential symptom-specific changes during an internet-based, guided cognitive behavioural therapy intervention","authors":"Lynn Boschloo ,&nbsp;Jasmijn Wijnands ,&nbsp;Nadia Garnefski ,&nbsp;Vivian Kraaij ,&nbsp;Petra Hurks ,&nbsp;Danielle Remmerswaal ,&nbsp;Reinout W. Wiers ,&nbsp;Sascha Struijs ,&nbsp;Elske Salemink","doi":"10.1016/j.invent.2025.100834","DOIUrl":"10.1016/j.invent.2025.100834","url":null,"abstract":"<div><h3>Background</h3><div>Students often report depression and stress symptomatology but may differ in their symptoms and their symptom-specific changes during interventions. This study adopted a symptom-specific approach and examined 1) individual symptoms in students experiencing mild to severe depression symptomatology and 2) changes in individual symptoms during a guided, internet-based intervention. We zoomed in on how these (changes in) symptoms were related to each other and to (changes in) overall quality of life.</div></div><div><h3>Methods</h3><div>This study included 1816 students with mild to severe baseline depression symptomatology, of which 412 activated their account for an eight-week, guided, internet-based Cognitive Behavioural Therapy intervention (<em>Moodpep</em>) and completed the post-treatment assessment. Depression symptomatology was assessed with the Patient Health Questionnaire, stress symptomatology with the Perceived Stress Scale and overall quality of life with a single item from the Mental Health Quality of Life questionnaire. Network estimations were conducted to examine the interrelations of (changes in) symptoms.</div></div><div><h3>Results</h3><div>Mean scores of baseline symptoms differed substantially, and network estimations showed multiple positive connections across symptoms and negative connections of symptoms with overall quality of life. During the intervention, all symptoms reduced significantly, although with differential magnitude, and network estimations showed that changes in symptoms were differentially related to other changes in symptoms and changes in overall quality of life.</div></div><div><h3>Conclusions</h3><div>Our findings highlight the importance of considering individual symptoms and their interrelations as a more complete and nuanced measure for 1) the heterogeneity of baseline symptomatology and 2) the heterogeneity of changes in symptomatology during an intervention.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"Article 100834"},"PeriodicalIF":3.6,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting the strength of next-day negative emotion states in body dysmorphic disorder using passive smartphone data: An intensive longitudinal assessment study","authors":"Hilary Weingarden ,&nbsp;Xiang Meng ,&nbsp;Michael Armey ,&nbsp;Jukka-Pekka Onnela ,&nbsp;Adam Jaroszewski ,&nbsp;Caroline H. Armstrong ,&nbsp;Sabine Wilhelm","doi":"10.1016/j.invent.2025.100833","DOIUrl":"10.1016/j.invent.2025.100833","url":null,"abstract":"<div><div>Body dysmorphic disorder (BDD) is a debilitating and common psychiatric illness associated with high rates of suicide and substance use disorders. Negative emotions – particularly shame and anxiety – are elevated in BDD and correlate with suicide risk and substance use. It is critical to have reliable and valid tools to assess negative emotions in BDD. Retrospective self-reports are subject to recall biases, average one's experiences over broad time frames, and are burdensome to complete. Alternatively, sensor-based digital phenotyping has potential to yield low-burden emotion assessment within acute time frames. This study aimed to use smartphone sensor data (GPS, accelerometer, collected over 3 months) to predict next-day peak shame, anxiety, and general negative emotion states (collected via 28 days of ecological momentary assessment) in 83 adults with BDD. We tested cumulative link mixed models [CLMM]) and random forest [RF] models. RFs outperformed CLMMs across prediction performance metrics and had overall prediction accuracies (i.e., proportion of predicted scores that exactly matched actual scores, out of total predictions) of 42.1–50.0 %, versus 10.9–20.2 % for CLMMs. Binary predictive performance at high levels of negative emotion was moderate. Developing unobtrusive methods for predicting shame, anxiety, and general negative emotion states over acute time frames using smartphone sensor data can enable just-in-time intervention opportunities, as a future step to reduce risk for suicide and substance use in BDD. Models might be strengthened with larger samples, data collected over longer time frames, and incorporation of wearable-based physiological data.</div><div><strong>Trial Registration:</strong> <span><span>ClinicalTrials.gov</span><svg><path></path></svg></span> Identifier: <span><span>NCT04254575</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100833"},"PeriodicalIF":3.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital interventions for supporting alcohol abstinence in aftercare – a systematic review","authors":"Luana Lenzi ,&nbsp;Aaliya Ibrahim ,&nbsp;David Brough ,&nbsp;Alexander Thompson","doi":"10.1016/j.invent.2025.100832","DOIUrl":"10.1016/j.invent.2025.100832","url":null,"abstract":"<div><h3>Background and aims</h3><div>Alcohol Use Disorders (AUD) are associated with numerous negative health and societal consequences. Relapse is common among individuals with AUD following discharge from treatment programs, often due to a lack of continuing care and barriers to accessing in-person interventions. Digital interventions may have the potential to overcome these barriers. This systematic review aims to assess the efficacy of digital interventions in supporting abstinence following AUD treatment.</div></div><div><h3>Methods</h3><div>We searched the databases <em>Embase, Medline,</em> and <em>APA PsycInfo</em> for randomized controlled trials (RCTs) that evaluated digital interventions designed to support alcohol-dependent individuals to maintain abstinence after discharge from treatment programs. Studies in which participants were not abstinent at the time of randomization were excluded.</div></div><div><h3>Results</h3><div>Eleven studies were identified, with interventions including text messages, smartphones apps, wireless breathalysers, telephone-based support, and e-books. Four studies (2 using apps and 2 using supportive text messages) reported statistically significant results in prolonging abstinence. However, one intervention using a cue exposure therapy (CET) app found increased relapse rates in all groups. The risk of bias across studies ranged from moderate to high.</div></div><div><h3>Conclusion</h3><div>There is insufficient evidence to support the efficacy of digital interventions in maintaining abstinence after AUD treatment discharge. While digital interventions may improve the accessibility and uptake of aftercare services to prevent relapse, further research is needed.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100832"},"PeriodicalIF":3.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dropout and completion in iCBT for university students: Insights from a thematic analysis","authors":"Jurrijn A. Koelen ,&nbsp;Lisa de Koning ,&nbsp;Matilda K. Nottage ,&nbsp;Anke M. Klein ,&nbsp;Claudia M. van der Heijde ,&nbsp;Peter Vonk ,&nbsp;Reinout W. Wiers","doi":"10.1016/j.invent.2025.100831","DOIUrl":"10.1016/j.invent.2025.100831","url":null,"abstract":"<div><div>Online cognitive behavioral therapy (iCBT) is a promising treatment for depression and anxiety among university students but faces high dropout rates. Understanding the reasons behind dropout or completion can help improve the implementation of iCBT in educational settings. Semi-structured phone interviews were conducted with 32 students who dropped out early (<em>n</em> = 9), midway (<em>n</em> = 12), or completed (<em>n</em> = 11) guided or unguided iCBT in the context of a randomized controlled trial. Data were analyzed using <span><span>Braun and Clarke's (2012)</span></span> thematic analysis. Common themes among dropouts included personal factors (like competing priorities), perceived difficulty or redundancy of the intervention, and lack of human interaction. Early dropouts uniquely cited disbelief in the intervention's efficacy and preference for other mental health support. Midway dropouts mentioned issues with the interactivity, feedback, content, perceived effectiveness, and lack of personalization. Completers had positive initial impressions, valued the online format, found the exercises and guidance helpful, and felt cared for. The themes identified among participants who dropped out from or completed the iCBT intervention provide valuable insights into factors which may be of importance for retention. Implications regarding setting expectations, participant selection, interactive functionalities, personalized feedback, and the role of therapist guidance are discussed.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100831"},"PeriodicalIF":3.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stepped care and digital intervention service model design in the multidisciplinary sleep service","authors":"Sara Winter ,&nbsp;Sara Crocker ,&nbsp;Tricia Rolls ,&nbsp;Deanne Curtin ,&nbsp;Jessica Haratsis ,&nbsp;Irene Szollosi","doi":"10.1016/j.invent.2025.100830","DOIUrl":"10.1016/j.invent.2025.100830","url":null,"abstract":"<div><div>In order to ensure access to insomnia treatment in our public health environment of increasing patient acuity, increasing demand and health care costs, we need to innovate and implement systematised models of care to achieve better outcomes and efficiencies.</div><div>The design of a new Stepped Care treatment model in the multidisciplinary sleep disorders service with consumer and stakeholder engagement is described. Patients, their referrers and staff were surveyed to explore their views and preferences towards Stepped Care, including digital transformation. A consensus group workshop using the Nominal Group Technique was undertaken with the multidisciplinary team to develop the model of care.</div><div>The team endorsed a hierarchy of treatment steps beginning with digital intervention, group and trainee interventions as first line, escalating to more intensive 1:1 ‘upstream’ for higher acuity presentations. Referrer surveys highlighted the need for education in primary care settings about the availability of evidence-based internet treatment options. While few patients were aware of the availability of digital insomnia intervention, they were largely supportive of digital transformation. Barriers and risks to the Stepped Care approach were identified which informed the refinement of the treatment pathway.</div><div>Stepped Care treatment models offer adaptability and flexibility, allowing for adjustments in interventions based on patients' response to treatment, and preventing unnecessary escalation of care while reducing costs and improving efficiencies.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100830"},"PeriodicalIF":3.6,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The promise and challenges of computer mouse trajectories in DMHIs – A feasibility study on pre-treatment dropout predictions","authors":"Kirsten Zantvoort ,&nbsp;Jennifer J. Matthiesen ,&nbsp;Pontus Bjurner ,&nbsp;Marie Bendix ,&nbsp;Ulf Brefeld ,&nbsp;Burkhardt Funk ,&nbsp;Viktor Kaldo","doi":"10.1016/j.invent.2025.100828","DOIUrl":"10.1016/j.invent.2025.100828","url":null,"abstract":"<div><div>With the impetus of Digital Mental Health Interventions (DMHIs), complex data can be leveraged to improve and personalize mental health care. However, most approaches rely on a very limited number of often costly features. Computer mouse trajectories can be unobtrusively and cost-efficiently gathered and seamlessly integrated into current baseline processes. Empirical evidence suggests that mouse movements hold information on user motivation and attention, both valuable aspects otherwise difficult to measure at scale. Further, mouse trajectories can already be collected on pre-treatment questionnaires, making them a promising candidate for early predictions informing treatment allocation. Therefore, this paper discusses how to collect and process mouse trajectory data on questionnaires in DMHIs. Covering different complexity levels, we combine hand-crafted features with non-sequential machine learning models, as well as spatiotemporal raw mouse data with state-of-the-art sequential neural networks. The data processing pipeline for the latter includes task-specific pre-processing to convert the variable length trajectories into a single prediction per user. As a feasibility study, we collected mouse trajectory data from 183 patients filling out a pre-intervention depression questionnaire. While the hand-crafted features slightly improve baseline predictions, the spatiotemporal models underperform. However, considering our small data set size, we propose more research to investigate the potential value of this novel and promising data type and provide the necessary steps and open-source code to do so.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100828"},"PeriodicalIF":3.6,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sexual trauma and interest in mobile health among women with mental illness in Ghana","authors":"Dror Ben-Zeev ,&nbsp;Joel Agorinya ,&nbsp;Alexa Beaulieu ,&nbsp;Emmanuel Quame Sottie ,&nbsp;Anna Larsen ,&nbsp;Dzifa Abra Attah ,&nbsp;Michele Bedard-Gilligan ,&nbsp;Sammy Ohene ,&nbsp;Pamela Y. Collins ,&nbsp;Kristen P. Lindgren ,&nbsp;Angela Ofori-Atta ,&nbsp;Debra Kaysen ,&nbsp;Kwadwo Obeng","doi":"10.1016/j.invent.2025.100829","DOIUrl":"10.1016/j.invent.2025.100829","url":null,"abstract":"<div><div>Sexual violence against vulnerable populations is common worldwide. Many survivors of sexual assault experience long-term mental health difficulties. This study evaluated sexual violence exposure among women with mental illness in Ghana and examined their readiness to engage in mobile health interventions. We surveyed 200 women receiving inpatient or outpatient treatment at a large psychiatric hospital. Survey results indicated that 41.0 % reported having experienced sexual violence in the past. Over two-thirds of respondents had a high probability of PTSD (68.4 %) and these proportions were higher among those who experienced sexual violence (77.5 %). The majority were interested in mobile health resources that could provide them with support (73.2 %). Respondents' top topics of interest were information about managing stress and improving mood. The skill they were most interested in was relaxation. Video and audio content were rated as preferred intervention modalities. Most of the sample reported owning a mobile phone (86.4 %), with most being smartphones (76.1 %). Almost all respondents reported having access to electricity (99.5 %), a majority had a data plan (86.2 %), and all reported daily mobile phone use (100.0 %). Our findings suggest that there are significant unmet mental health needs among female survivors of sexual violence who are already receiving care in Ghana; most female survivors of sexual assault are open to using mobile health interventions; and most women with mental illness have access to the resources necessary for deployment of mobile interventions in their communities. Smartphone applications that leverage video and audio content may be particularly suitable for this context.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100829"},"PeriodicalIF":3.6,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143814793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of the best possible self intervention on affective well-being in early adolescence: A randomized controlled online trial","authors":"Stefanie Bartha,&nbsp;Silke Schmidt,&nbsp;Samuel Tomczyk","doi":"10.1016/j.invent.2025.100827","DOIUrl":"10.1016/j.invent.2025.100827","url":null,"abstract":"<div><div>The Best Possible Self intervention (BPS) has demonstrated efficacy in promoting well-being in various populations, yet its impact in adolescence is under-researched. Our study investigated the feasibility and efficacy of the BPS in early adolescence (11–15 years) to promote positive affect and reduce negative affect. We conducted a randomized controlled online trial (<em>N</em> = 200, <em>M</em>_<em>age</em> = 14.01 years, <em>SD</em> = 1.19, 78.5 % female). Participants were assigned to the BPS group (<em>n</em> = 59), a writing control group (<em>n</em> = 68), or a non-writing control group (<em>n</em> = 73). Affect (PANAS-C-SF) was measured immediately before and after the intervention. The BPS demonstrated feasibility in our sample and significantly increased positive affect post-intervention compared to both control groups, suggesting a mood-boosting effect. The BPS did not significantly reduce negative affect post-intervention relative to the control groups. Our findings provide initial evidence that the BPS is a feasible and effective intervention for enhancing positive affect in early adolescence. Future research should explore its long-term effects, repeated administration, and potential for implementation in group settings to maximize its impact.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100827"},"PeriodicalIF":3.6,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}