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

{"title":"Feasibility of internet-based multimodal emotion recognition training in adolescents with and without autism: A pilot study","authors":"Nora Choque Olsson ,&nbsp;Julia Nordlander Björkman ,&nbsp;Rasmus Lackell ,&nbsp;Oliver Bergens ,&nbsp;Håkan Fischer ,&nbsp;Lillian Döllinger ,&nbsp;Jan Bergström ,&nbsp;Per Carlbring ,&nbsp;Petri Laukka","doi":"10.1016/j.invent.2025.100861","DOIUrl":"10.1016/j.invent.2025.100861","url":null,"abstract":"<div><h3>Background</h3><div>Research suggests that individuals with autism spectrum disorder (ASD) have difficulties in emotion recognition (ER), which could lead to social difficulties. ER can be enhanced through targeted interventions, but generalization to everyday functioning poses a challenge. Using dynamic multimodal emotional expressions for training may increase similarities to everyday situations. This pilot study investigated the feasibility of internet-based multimodal emotion recognition training (iMERAT) for adolescents with ASD.</div></div><div><h3>Method</h3><div>Eight adolescents with ASD and nine typically developing (TD) adolescents took part in the iMERAT intervention, which included brief online training sessions conducted each weekday during a 3-week period. Training was performed on dynamic facial, vocal and multimodal emotional expressions, with outcome feedback provided after each response. A survey was conducted to explore participants' experiences of the training. ER was measured pre- and post-training using a multimodal ER test.</div></div><div><h3>Results</h3><div>Participants reported that the training was moderately difficult, instructions were relatively easy to understand, and the duration of training was appropriate. Content analysis of open-ended responses suggested further adaptations, such as providing more explanations of emotions and further tailoring content and language for adolescents. ER increased from pre- to post-intervention, with large effect sizes for both ASD and TD adolescents.</div></div><div><h3>Conclusion</h3><div>Results suggest that the iMERAT intervention is feasible for adolescents with ASD. Gains in ER ability were observed, but the small sample size and lack of a control group render these findings tentative. Further research is required to assess the effectiveness of the iMERAT and possible impact on broader social skills.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"Article 100861"},"PeriodicalIF":3.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595787","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":"Do people residing in low socioeconomic areas engage with and benefit from digital mental health services?","authors":"Lauren G Staples, Blake F Dear, Olav Nielssen, Nickolai Titov","doi":"10.1016/j.invent.2025.100865","DOIUrl":"10.1016/j.invent.2025.100865","url":null,"abstract":"<p><strong>Background: </strong>People who are socioeconomically disadvantaged have higher rates of mental disorder and are more likely to face barriers to evidence-based psychological services. Barriers include the cost of treatment, limited availability of local services, and the burden of psychosocial difficulties. Psychological treatment delivered via the internet can overcome some of these barriers.</p><p><strong>Methods: </strong>This study was a retrospective analysis of data collected from 21,561 patients accessing online psychological assessment and treatment. Residential postcodes were used to assign patients to a socioeconomic group (low, mid, or high SES), based on the Index of Economic Resources published by the Australian Bureau of Statistics.</p><p><strong>Results: </strong>The low SES group comprised 34.1 % of the sample and the mid SES group comprised 35.7 %. A perceived lack of local or affordable mental health services was the main reason given for accessing online mental health assessment and treatment. There were small but significant demographic differences between groups at assessment, and baseline symptoms of depression and anxiety were slightly higher for the low and mid SES groups. Despite these differences, there were no group differences in treatment outcomes. All groups showed large symptom reductions on measures of depression (PHQ-9) and anxiety (GAD-7), with Cohen's d effect sizes between 1.36 and 1.47. Reliable deterioration rates were low, and satisfaction rates were high.</p><p><strong>Conclusion: </strong>This study shows that people residing in low socioeconomic areas engage with and benefit from digital mental health services. Results suggest that scalable digital psychological services can improve the equity of access to mental health care.</p>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"100865"},"PeriodicalIF":4.1,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357260/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144876031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of self-efficacy in internet-based interventions for mental health: A systematic review and meta-analysis","authors":"Solveig Behr ,&nbsp;Laura Martinez Garcia ,&nbsp;Julia Lucas ,&nbsp;Esther Kohlhase ,&nbsp;Marie Puetz ,&nbsp;Johanna Boettcher ,&nbsp;Carmen Schaeuffele ,&nbsp;Christine Knaevelsrud","doi":"10.1016/j.invent.2025.100821","DOIUrl":"10.1016/j.invent.2025.100821","url":null,"abstract":"<div><h3>Introduction</h3><div>Internet-based interventions (IBI) increase access to evidence-based treatments for mental disorders, but knowledge of their mechanisms of change is limited. Self-efficacy, a key factor in psychotherapy, is especially relevant in IBI due to its self-help focus. We investigated self-efficacy and related constructs as outcomes, predictors/moderators, and mediators in randomized controlled trials.</div></div><div><h3>Methods</h3><div>A systematic search was conducted across PsycINFO, PubMed, CINAHL, and Web of Science. Two reviewers selected studies, extracted data, and assessed bias. Effects were quantified using random effect models and supplemented by narrative syntheses and box score visualizations.</div></div><div><h3>Results</h3><div>70 studies (<em>N</em> = 17,407 participants) were included. IBI showed moderate effects on self-efficacy in within (d = 0.47) and between (d = 0.46) comparisons, with guided interventions having the largest effect (d = 0.66). Findings on self-efficacy as a predictor/moderator were mixed, though some studies suggested individuals with lower self-efficacy benefit more. Self-efficacy emerged as a mediator through which IBI affected treatment outcomes.</div></div><div><h3>Conclusion</h3><div>Self-efficacy appears influential in IBI efficacy and may itself be a valuable treatment target. However, mixed results and methodological limitations in mediator studies highlight the need for further research, particularly on long-term effects.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100821"},"PeriodicalIF":3.6,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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":"2025-06-01","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}

{"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":"2025-06-01","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":"MyGuide long COVID: An online self-management tool for people with long COVID","authors":"Hiten Naik ,&nbsp;Kyla Pongratz ,&nbsp;Michelle Malbeuf ,&nbsp;Sonya Kung ,&nbsp;Lori Last ,&nbsp;Asuka Sugiyama ,&nbsp;Esther Khor ,&nbsp;Marlee McGuire ,&nbsp;Adeera Levin ,&nbsp;Karen C. Tran","doi":"10.1016/j.invent.2025.100825","DOIUrl":"10.1016/j.invent.2025.100825","url":null,"abstract":"<div><h3>Background</h3><div>Long COVID is a relatively new condition for which patients are asked to employ self-management strategies to manage their symptoms. However, it can be challenging for individuals with long COVID to find reliable and actionable self-management resources. The objective of this project was to develop an online tool for individuals with long COVID that is patient-centered, accessible, and customizable to meet individual needs.</div></div><div><h3>Methods</h3><div><em>MyGuide Long COVID</em> (<span><span>www.longCOVIDguide.ca</span><svg><path></path></svg></span>) was developed in British Columbia (BC), Canada, by a team that included long COVID clinicians and patient partners. Site visitors answer questions about their symptoms, and <em>MyGuide</em> generates a curated set of self-management resources tailored to their needs. Since its launch in August 2023, Google Analytics has been used to monitor website activity.</div></div><div><h3>Results</h3><div>Within the first year, MyGuide had 52,578 total page views and 8570 new users. The most popular method to access <em>MyGuide</em> was by computer (56.3 % of users), and the most represented city was Vancouver, BC (23.5 % of users). The most popular topics were “Post Exertional Malaise” (1339 sessions) and “What is long COVID?” (1257 sessions).</div></div><div><h3>Conclusions</h3><div>An online tool to support chronic disease self-management can be successfully co-developed with patient partners and engagement tracked using web analytics.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100825"},"PeriodicalIF":3.6,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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":"2025-06-01","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":"2025-06-01","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":"A mobile-based, single-session intervention to empower parents of adolescents hospitalised for non-suicidal self-injury: A mixed-methods randomised controlled trial","authors":"Juan He ,&nbsp;Yidong Shen ,&nbsp;Zengyu Chen ,&nbsp;Yusheng Tian ,&nbsp;Yanting Hou ,&nbsp;Yamin Li ,&nbsp;Jianjun Ou","doi":"10.1016/j.invent.2025.100822","DOIUrl":"10.1016/j.invent.2025.100822","url":null,"abstract":"<div><h3>Background</h3><div>Adolescents hospitalised for non-suicidal self-injury (NSSI) represent a particularly severe subset within psychiatric care. The NSSI imposes significant challenges on parents, including lack of knowledge, ineffective coping strategies, and negative emotions, exacerbated by stigma. Parental empowerment is crucial for supporting adolescent recovery; however, current interventions often neglect parents. Single-session interventions (SSIs) may offer an accessible and promising approach to address this gap.</div></div><div><h3>Methods</h3><div>This mixed-methods study assessed the short-term effects of project CSH-P: a mobile-based, self-guided SSI aimed at empowering parents of adolescents hospitalised for NSSI. 88 participants were randomly assigned to CSH-P (n = 46) or control group (n = 42). Online assessments measuring knowledge, attitudes, and stigma were administered at baseline, immediately post-intervention, and one week later. Additionally, semi-structured individual interviews were conducted with participants who received CSH-P post-intervention.</div></div><div><h3>Results</h3><div>Compared to the control group, participants who received CSH-P showed significant improvements in NSSI-related knowledge (Cohen’s d = .42, p = .027) and more positive attitudes toward their adolescents (Cohen’s d = - .31, p = .047). Qualitative findings confirmed these results, with parents reporting highly positive engagement and perceived empowerment across cognitive, emotional, and behavioural dimensions. Furthermore, parents provided constructive feedback for further enhancing the intervention’s impact.</div></div><div><h3>Conclusions</h3><div>Project CSH-P demonstrates the potential to enhance parental empowerment in managing adolescent self-injurious behaviours. Its brevity, low cost, and ease of dissemination make it a promising strategy for widely applicable prevention and treatment efforts. Future research should explore the long-term sustainability of these improvements and assess the broader impact on parenting practices and adolescent treatment outcomes.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100822"},"PeriodicalIF":3.6,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Efficacy of online psychoeducation and relaxation training program (OnPR) on mental health problems in COVID-19 patients: A randomized controlled trial” [J. Internet Interv. vol 35 (2024), 100705]","authors":"Chotiman Chinvararak ,&nbsp;Pantri Kirdchok ,&nbsp;Chayut Wonglertwisawakorn ,&nbsp;Pachara Pumjun ,&nbsp;Orranee Srikhamdokkhae ,&nbsp;Nitchawan Kerdcharoen","doi":"10.1016/j.invent.2025.100820","DOIUrl":"10.1016/j.invent.2025.100820","url":null,"abstract":"","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100820"},"PeriodicalIF":3.6,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154528","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}