Prevention Science最新文献

{"title":"Assessing the Potential Cumulative Effects of Longitudinal Interventions for Depression and Deviant Peer Association on Academic Achievement: a Causal Inference Approach.","authors":"Sarah A Mason, Xiao Liu, Kathleen K Mason, Alejandra Garcia Isaza, Avia Bateman, J Mark Eddy, Charles R Martinez","doi":"10.1007/s11121-026-01990-4","DOIUrl":"https://doi.org/10.1007/s11121-026-01990-4","url":null,"abstract":"<p><p>In various studies, depressive symptoms, deviant peer association, and academic achievement appear to be reciprocally and cumulatively related across the transition from childhood to adolescence. This study asks a hypothetical question: how much would grade 12 academic achievement improve if a preventive-intervention reduced depressive symptoms and/or deviant peer association across grades 5, 7, and 10? To answer this question, we used longitudinal datasets from 361 students in the LIFT project and employed the Longitudinal Modified Treatment Policies approach, which uses causal inference and machine learning analyses to estimate the total effect of shifting the trajectory(ies) of an exposure(s) while properly handling time-varying confounding. We estimated the effects of reducing depressive symptoms and/or deviant peer association across the grades by a hypothetical magnitude ranging from 10 to 50%. A 50% reduction in depressive symptoms, deviant peer association, or both was associated with improvements in academic achievement of approximately 7.8%, 14.0%, and 17.1%, respectively; the effects remained positive and statistically significant at every reduction magnitude examined. Implications of the findings for identifying key factors across critical developmental windows are discussed.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217188","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":"Brain Structure and Differential Response to Family-Centered Prevention: Evidence for Anterior Cingulate Cortex Moderation in a Randomized Controlled Trial.","authors":"Steven M Kogan, Tianyi Yu, Robin Nusslock, Anna C Cichoki, Katharina Seitz, Steven R H Beach","doi":"10.1007/s11121-026-01998-w","DOIUrl":"https://doi.org/10.1007/s11121-026-01998-w","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Family-centered prevention programs improve youth self-regulation, yet intervention effects are heterogeneous, and the mechanisms underlying differential response remain poorly understood. Identifying neural metrics that shape responsiveness to prevention may advance theory and inform program refinement. This study examined whether baseline brain structure moderated response to a telehealth adaptation of the Strong African American Families program (T-SAAF), a prevention intervention targeting self-regulation among Black preadolescents. Youth ages 11-12 and their caregivers (N = 170 families) were recruited in North Georgia and randomly assigned to T-SAAF or a no-treatment control condition. Allocation was 1:1 in a two-group parallel design evaluated within a superiority framework, and we generated the allocation sequence using statistical software. Because randomization followed the pretest assessment, allocation was concealed from participants and from pretest assessors, and condition was revealed only after pretest data collection was complete. Thereafter, families, facilitators, and posttest assessors could not be masked to condition, as T-SAAF is a group-based family program delivered by facilitators. We conducted no interim analyses and used no stopping guidelines; the trial completed as planned. They were assessed at baseline and approximately nine months later. A neuroimaging subsample completed structural MRI prior to intervention exposure. Analyses focused on whether cortical and subcortical structural metrics moderated changes in parent-reported youth self-control. To account for differential engagement, the intervention main effect was tested in a propensity score-matched sample of youth who received the intervention and comparable controls (n = 130); brain by intervention interactions were tested in the neuroimaging subsample (n = 105). Assignment to T-SAAF was associated with a modest increase in self-control (F[1,124] = 4.28, p = .04). Baseline anterior cingulate cortex (ACC) structure moderated this effect. The clearest and most consistent evidence was for rostral ACC thickness and caudal ACC thickness; caudal ACC volume showed the same pattern with weaker but convergent support. Across these metrics, thinner or smaller ACC at baseline was associated with greater intervention-related gains in self-control, whereas youth with higher ACC structural values showed little differential benefit. No moderation was observed for rostral ACC volume, amygdala volume, or nucleus accumbens volume. Findings provide preliminary evidence that individual differences in neural structure, particularly within the ACC, may shape responsiveness to family-centered preventive intervention during preadolescence. By extending neural prediction approaches from adult treatment to developmental prevention, this study indicates that neurodevelopmental markers can clarify mechanisms of differential response and inform program refinement. Confirmation in ad","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217202","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":"Peer Victimization, Bullying, and Sexual Orientation-Related Health Disparities: Conceptual and Methodological Distinctions and Considerations.","authors":"Samantha A Moran, Diana J Meter, Salvatore Ioverno, Stephen T Russell, Jessica N Fish","doi":"10.1007/s11121-026-01997-x","DOIUrl":"https://doi.org/10.1007/s11121-026-01997-x","url":null,"abstract":"<p><p>Sexual minority youth (SMY) scholarship has lagged in its attention to the conceptual and practical distinctions between peer victimization and bullying. The current study includes five population-based samples from the Youth Risk Behavior Survey (n = 68,285). We used the Karlson, Holm, and Breen (KHB) method to test whether school-based victimization and bullying differentially account for sexual identity differences in substance use and mental health. Results showed that school-based victimization and bullying were weakly correlated; each was a robust independent factor in the association between sexual orientation and health outcomes. Victimization emerged as a robust factor that attenuated sexual identity differences in substance use among SM girls, but not for SM boys, accounting for 40-96% of the indirect effect (IE). In contrast, bullying was associated with larger proportions of the indirect effect for sexual orientation differences in mental health for both SM girls (IE = 47-72%) and SM boys (IE =  ≥ 72%). Findings underscore the importance of intentional and justified analytic decisions regarding investigating victimization and/or bullying as mechanisms of sexual identity differences in mental and behavioral health. Implications highlight the need for school policies and practices that distinctly target school victimization and bullying as they are independently related to outcomes and differential risk for substance use and mental health for SMY, particularly among SM girls. Research is necessary to better understand how unique forms of peer aggression relate to indicators of health and well-being for SM (and all) youth.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217210","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":"Structural Racism and Coalition Decision-Making: A Qualitative Study of Opioid Prevention and Treatment Implementation.","authors":"Charles H Lea, Sadie Chen, Anindita Dasgupta, Elizabeth Jadovich, Dawn A Goddard-Eckrich, Shoshana N Benjamin, Mireille Bitangacha, Kesla Kingler, Melody Kingsley, Deborah Chassler, Avik Chatterjee, Ally Cogan, Jill Davis, Nishita Dsouza, James L David, Nabila El-Bassel, Ohshue S Gatanaga, Louisa Gilbert, Miriam Harris, Ari Holman, Daniel M Walker","doi":"10.1007/s11121-026-01996-y","DOIUrl":"https://doi.org/10.1007/s11121-026-01996-y","url":null,"abstract":"<p><p>Structural racism drives inequities in opioid use disorder, overdose, and treatment access. However, less is known about how it shapes coalition-led implementation of opioid prevention and treatment strategies. Using structural racism as a lens, this study examines how community coalition members described the selection and implementation of opioid-related evidence-based practices intended to reach racial and ethnic minoritized communities. This qualitative study used interview data from 355 coalition members involved in the HEALing Communities Study, a community-engaged, wait-listed, cluster-randomized implementation trial across four states. Interviews focused on coalition context and implementation of evidence-based practices. This secondary analysis examined a subset of data from Massachusetts, New York, and Ohio related to race, racism, coalition context, and intervention implementation. Analysis involved a thematic approach, drawing on PRISM/RE-AIM-informed code reports and emergent coding to identify patterns related to structural racism and implementation. Structural racism was applied as an interpretive lens. Three key themes emerged: (1) Culture over Structures, in which participants often explained inequities through community culture, mistrust, or individual attitudes rather than structural racism; (2) White Residential Homogeneity, in which local racial demographics were used to justify limited race-conscious action; (3) The Burden of Proof, in which missing or difficult-to-use data stalled equity-focused implementation. Some coalitions described strategies to address these barriers, including critical dialogue, inclusive hiring, targeted outreach, and partnerships with community and faith-based organizations. Coalition-led implementation may both mitigate and reproduce racial inequities. Policies and practices that support race-conscious, community-led implementation, equitable data systems, and diverse coalition leadership may strengthen opioid prevention and treatment efforts for racial and ethnic minoritized communities. Future research should examine how these dynamics differ across local contexts, including rural and urban communities.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149184398","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":"Tri-sector Partnership for Military Suicide Prevention: Developing, Testing, and Scaling Wingman Guardian Connect.","authors":"Peter A Wyman, Anthony R Pisani, Christopher Goode, Bryan Yates, Gregory Aarons, Ann Wood, Nicole Morgan, Chelsea Keller-Elliot, Nicole Stadnick, Alicia Matteson, Tracy Neal-Walden, Steven E Pflanz, David J Linkh, Karen Schmeelk-Cone, Ian Cero, Joshua Franke, Britni DiFiore, Caterina R Marzella, C Hendricks Brown","doi":"10.1007/s11121-026-01993-1","DOIUrl":"https://doi.org/10.1007/s11121-026-01993-1","url":null,"abstract":"<p><p>Our tri-sector partnership (Department of the Air Force, University of Rochester, and SafeSide Prevention, LLC) developed, tested, and scaled up Wingman Guardian Connect (WGC), the first RCT-validated program shown to reduce suicide risk, depression, and occupational problems in a broad military population (Wyman et al., 2020). Using the Exploration, Preparation, Implementation, Sustainment (EPIS) framework (Aarons et al., 2011) adapted for a military context, we trace the partnership from an initial Department of Defense grant (2014) through data-driven program development, a cluster RCT demonstrating efficacy (N = 1500 active-duty personnel), extension to operational installations, and ongoing force-wide scale-up across 72 installations. The partnership produced three outcomes addressing long-standing barriers to reducing military suicides: (1) a network enhancement training model that replaced lecture-based prevention programming, (2) methods enabling randomized trials of universal prevention in non-clinical military populations, and (3) a data-informed implementation strategy incorporating a National Institute of Mental Health-funded hybrid effectiveness-implementation trial. We describe how the tri-sector model-combining academic research rigor, governmental policy authority, and private-sector operational capacity-overcame challenges including leadership turnover and intervention fidelity at scale. We conclude with recommendations for partnerships seeking to advance evidence-based prevention within governmental agencies.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149166970","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":"Developmental Trajectories of Alcohol, Mental Health and Physical Health among American Indian and First Nation Adolescents: Understanding the Role of Land-Based Cultural Engagement, Family, and Peers.","authors":"Helen Russette, Anthony Rodriguez, Chelsea Wesner, Tina Handeland, Elizabeth J D'Amico, Faith Price, Fiona Grubin, Kelly Sittner, Melissa Walls","doi":"10.1007/s11121-026-01982-4","DOIUrl":"10.1007/s11121-026-01982-4","url":null,"abstract":"<p><p>We applied the Indigenous Traditional Ecological Knowledge (ITEK) framework to understand patterns of wellbeing among American Indian and First Nation (AI/FN) adolescents; risks and protective factors associated with alcohol use, mental health, and physical health that can be translated into prevention intervention strategies. Latent profile analysis and growth mixture modeling (GMM) were applied to identify and examine patterns of change among distinct subgroups of AI/FN youth (Wave 1 N = 735, M age = 11.09, 50.2% female) residing on or near a Tribal Nation or Reserve on the role of land-based cultural activity participation, family warmth and support, and having risk-taking peers at baseline. GMM explored how risk and protective factors were related to trajectories of alcohol use, mental health symptoms, and physical health across five waves. Four trajectory groups were identified: (1) Prosocial, low cultural engagement (62%); (2) High-risk profile (11%); (3) Risk-taking peers, mixed engagement (21%); and (4) Prosocial, high cultural and family engagement (5%). Having more risk-taking peers increased risk for alcohol use, symptoms of depression and anxiety, and lower physical health. High land-based cultural activity participation with high family warmth and support decreased risk for alcohol use and mental health indicators and lower physical health with trajectories staying below other subgroups or stable across adolescence. The ITEK framework aided in understanding critical factors for AI/FN wellbeing. Land-based healing efforts hold promise in preventing substance use and negative affect and promoting overall wellbeing among AI/FN adolescents.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149138877","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":"Contexts for Scaling Up Evidence-Based Preventive Interventions: Examining Factors That Influence the Likelihood of the Use of Research Language in Substance Use Legislation.","authors":"Elizabeth C Long, Matthew A Ogan, Annalise J Tolley, Leanna Kalinowski, Jessica Pugel, Patrick O'Neill, D Max Crowley, J Taylor Scott","doi":"10.1007/s11121-026-01994-0","DOIUrl":"https://doi.org/10.1007/s11121-026-01994-0","url":null,"abstract":"<p><p>Understanding the factors that influence whether research evidence on substance use and substance use disorders (SU/SUD) gets written into legislation can help identify opportunities for maximizing its uptake by policymakers and scaling up preventive interventions. Yet, limited work has examined the contexts that influence the adoption of evidence-based interventions and other uses of research evidence (URE) in US state-level bills. Baseline data were drawn from a randomized clinical trial. Using a multi-level design, we tested whether state-level contextual variables (level 2; e.g., economic conditions) and bill-level variables (level 1; e.g., sponsor count) influenced whether research was used in SU/SUD bills, and whether bill enactment was associated with its inclusion of URE. Legislation introduced between 2017 and 2022 (N = 47,087 bills) from 30 US states was examined. Of the 14 variables analyzed, five were significantly associated with URE. These included two level 2 state context variables: professionalism and innovation rate, as well as two level 1 bill-level variables: sponsor/co-sponsor count and bipartisan sponsorship/co-sponsorship, which were associated with an increased likelihood of SU/SUD bills containing URE. Lobbying regulations (a level 2 state context variable) was associated with a decreased likelihood. Bills that were enacted were more likely to contain URE than those that were not enacted. The variables that increased the likelihood of SU/SUD bills containing URE may reflect state legislators' capacity to use research and their value of it. However, some variables that were theoretically hypothesized to be associated with URE in bills were not (e.g., research and development expenditure). These findings suggest opportunities remain to improve URE in SU/SUD legislation.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149138937","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":"Is it Time to Rethink a Common Approach in the Study of Parent Participation in Parenting Interventions? (Null) Findings from a Large-Scale Cluster Randomised Trial.","authors":"Tianyi Ma, Alina Morawska, Caitlyn Morse, Julie Hodges, Christopher Boyle, Matthew R Sanders","doi":"10.1007/s11121-026-01992-2","DOIUrl":"https://doi.org/10.1007/s11121-026-01992-2","url":null,"abstract":"<p><p>The real-world impact of evidence-based parenting programs depends on their ability to engage parents and families. Yet, knowledge about the facilitators and barriers of participation remains limited. A common approach to study parent participation is conducting secondary analyses of clinical trial data, which often yield mixed and inconclusive results. The present study represents one of the largest studies undertaking the secondary analyses approach while addressing key methodological constraints identified in previous research (e.g. low power, narrow sets of predictors). We utilised data collected as part of a cluster randomised trial of a telehealth-delivered Triple P - Positive Parenting Program Seminar Series in Australian primary schools (N = 2272 parents) to assess parent participation. Thirteen participation outcomes were assessed across three domains: registration, seminar attendance, and time spent in sessions. Candidate predictors included child and family demographics, child mental health, parenting and family functioning, and home-school partnership quality. Across 468 exploratory analyses, associations between predictors and participation outcomes were generally small in magnitude, with models explaining only 0.5%-10.3% of the variance in parental participation. After adjustment for multiple comparisons, only one predictor remained statistically significant. These findings highlight the potential limited utility of relying on exploratory secondary analyses of clinical trial data to understand parent participation in parenting programs. Rather than continuing to expand data-driven searches for individual predictors, the field should prioritise theory-driven research and methodological innovations, such as embedding participation experiments within intervention trials.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149138862","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":"Partnership in Practice: Jointly Building and Using Delaware's Early Literacy Data System.","authors":"Sanford R Student, Annastasia B Purinton, Anamarie A Whitaker, Daniel R Osgood, Rachel Fidel, Jason T Hustedt, Steven J Amendum, Nermin Zubaca, Kenneth Shores, Kathy W Kelly, Monica Gant, Caitlin Gleason, Elizabeth N Farley-Ripple","doi":"10.1007/s11121-026-01995-z","DOIUrl":"https://doi.org/10.1007/s11121-026-01995-z","url":null,"abstract":"<p><p>We introduce the Delaware Early Literacy Research-Practice Partnership (DEL RPP), a partnership between the University of Delaware and the Delaware Department of Education focused on studying, supporting, and ultimately improving literacy for Delaware children in the early elementary grades. The initial activities of the partnership have focused on planning and the construction of a shared data system. This data system enables analyses not previously available to university or department researchers, and we provide a formative example of these analyses-focusing on the meaning of the cut score on the state's kindergarten entry assessment in literacy. We reflect on the challenges encountered in the first year of the partnership, including how we have addressed each so far, and conclude by describing the upcoming work of the partnership.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149138872","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":"Potential Outcomes Effects in Mediation Designs with Three Experimental Conditions.","authors":"Diana Alvarez-Bartolo, Heather L Smyth, Ahnalee M Brincks, David P MacKinnon","doi":"10.1007/s11121-026-01983-3","DOIUrl":"https://doi.org/10.1007/s11121-026-01983-3","url":null,"abstract":"<p><p>Causal mediation analysis, based on the potential outcomes framework, is an important new tool for prevention research. Causal mediation analysis is a non-parametric, general technique for estimating causal effects in mediation analysis with explicit emphasis on the identification of assumptions necessary for causal inference. Causal mediation analysis is generally described for the simplest case of two experimental conditions (e.g., treatment and control), which limits researchers to splitting their study into pairwise contrasts when they have more than two experimental conditions. This paper expands causal mediation analysis based on the potential outcomes framework to include the definition, identification, and estimation of causal effects when there are three experimental conditions. Interpretations of the causal effects are illustrated with synthetic data, based on a three-arm mindfulness study. The analytical approach for calculating the causal effects with three experimental conditions is described and implemented in various software, including SAS, Mplus and the R package. The implications of this new approach to mediation analysis are discussed, including the method's clear focus on meeting the assumptions for estimating causal effects and making causal claims.</p>","PeriodicalId":48268,"journal":{"name":"Prevention Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149116875","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}