International Journal of Methods in Psychiatric Research最新文献

{"title":"Network analysis: An overview for mental health research","authors":"Giovanni Briganti,&nbsp;Marco Scutari,&nbsp;Sacha Epskamp,&nbsp;Denny Borsboom,&nbsp;Ria H. A. Hoekstra,&nbsp;Hudson Fernandes Golino,&nbsp;Alexander P. Christensen,&nbsp;Yannick Morvan,&nbsp;Omid V. Ebrahimi,&nbsp;Giulio Costantini,&nbsp;Alexandre Heeren,&nbsp;Jill de Ron,&nbsp;Laura F. Bringmann,&nbsp;Karoline Huth,&nbsp;Jonas M. B. Haslbeck,&nbsp;Adela-Maria Isvoranu,&nbsp;Maarten Marsman,&nbsp;Tessa Blanken,&nbsp;Allison Gilbert,&nbsp;Teague Rhine Henry,&nbsp;Eiko I. Fried,&nbsp;Richard J. McNally","doi":"10.1002/mpr.2034","DOIUrl":"10.1002/mpr.2034","url":null,"abstract":"<p>Network approaches to psychopathology have become increasingly common in mental health research, with many theoretical and methodological developments quickly gaining traction. This article illustrates contemporary practices in applying network analytical tools, bridging the gap between network concepts and their empirical applications. We explain how we can use graphs to construct networks representing complex associations among observable psychological variables. We then discuss key network models, including dynamic networks, time-varying networks, network models derived from panel data, network intervention analysis, latent networks, and moderated models. In addition, we discuss Bayesian networks and their role in causal inference with a focus on cross-sectional data. After presenting the different methods, we discuss how network models and psychopathology theories can meaningfully inform each other. We conclude with a discussion that summarizes the insights each technique can provide in mental health research.</p>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.2034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142629935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are there subgroup differences in the accuracy of ‘screening’ questions for mood and anxiety disorder diagnostic interviews?","authors":"Matthew Sunderland,&nbsp;Tim Slade","doi":"10.1002/mpr.70008","DOIUrl":"10.1002/mpr.70008","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To examine the impact of potential measurement bias (i.e., differential item functioning [DIF]) across sex, age, employment, location, and substance use disorders on the screening properties of epidemiological surveys that utilise screening questions when estimating prevalence of mood and anxiety disorders.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data comprised of 15,893 respondents who completed the 2020–2022 Australian National Survey of Mental Health and Wellbeing. Questions from the screening module of the Composite International Diagnostic Interview 3.0 were analysed using confirmatory factor analysis and DIF across subgroups of interest. Sensitivity, specificity, and classification rate were derived and compared across models that did and did not adjust for significant levels of DIF.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Sources of DIF were identified across the items was due to age and sex at birth with relatively fewer items displaying DIF across employment, location, and substance use disorders. In terms of screening, the absolute differences in sensitivity and specificity between the DIF-free and DIF models ranged from 0.001 to 0.091.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The current study found some evidence of DIF in the screening questions used to evaluate mental health disorder prevalence. However, the overall influence of DIF on screening into at least one mood and anxiety disorder module was found to be minimal.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11541601/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142607274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A prediction model for differential resilience to the effects of combat-related stressors in US army soldiers","authors":"Ronald C. Kessler,&nbsp;Robert M. Bossarte,&nbsp;Irving Hwang,&nbsp;Alex Luedtke,&nbsp;James A. Naifeh,&nbsp;Matthew K. Nock,&nbsp;Maria Petukhova,&nbsp;Ekaterina Sadikova,&nbsp;Nancy A. Sampson,&nbsp;Erik Sverdrup,&nbsp;Jose R. Zubizarreta,&nbsp;Stefan Wager,&nbsp;James Wagner,&nbsp;Murray B. Stein,&nbsp;Robert J. Ursano","doi":"10.1002/mpr.70006","DOIUrl":"10.1002/mpr.70006","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To develop a composite score for differential resilience to effects of combat-related stressors (CRS) on persistent DSM-IV post-traumatic stress disorder (PTSD) among US Army combat arms soldiers using survey data collected before deployment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A sample of <i>n</i> = 2542 US Army combat arms soldiers completed a survey shortly before deployment to Afghanistan and then again two to three and 8–9 months after redeployment. Retrospective self-reports were obtained about CRS. Precision treatment methods were used to determine whether differential resilience to persistent PTSD in the follow-up surveys could be developed from pre-deployment survey data in a 60% training sample and validated in a 40% test sample.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>40.8% of respondents experienced high CRS and 5.4% developed persistent PTSD. Significant test sample heterogeneity was found in resilience (<i>t</i> = <i>2</i>.<i>1</i>, <i>p</i> = <i>0</i>.<i>032</i>), with average treatment effect (ATE) of high CRS in the 20% least resilient soldiers of 17.1% (SE = 5.5%) compared to ATE = 3.8% (SE = 1.2%) in the remaining 80%. The most important predictors involved recent and lifetime pre-deployment distress disorders.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>A reliable pre-deployment resilience score can be constructed to predict variation in the effects of high CRS on persistent PTSD among combat arms soldiers. Such a score could be used to target preventive interventions to reduce PTSD or other resilience-related outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A control theoretic approach to evaluate and inform ecological momentary interventions","authors":"Janik Fechtelpeter,&nbsp;Christian Rauschenberg,&nbsp;Hamidreza Jalalabadi,&nbsp;Benjamin Boecking,&nbsp;Therese van Amelsvoort,&nbsp;Ulrich Reininghaus,&nbsp;Daniel Durstewitz,&nbsp;Georgia Koppe","doi":"10.1002/mpr.70001","DOIUrl":"10.1002/mpr.70001","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Ecological momentary interventions (EMI) are digital mobile health interventions administered in an individual's daily life to improve mental health by tailoring intervention components to person and context. Experience sampling via ecological momentary assessments (EMA) furthermore provides dynamic contextual information on an individual's mental health state. We propose a personalized data-driven generic framework to select and evaluate EMI based on EMA.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We analyze EMA/EMI time-series from 10 individuals, published in a previous study. The EMA consist of multivariate psychological Likert scales. The EMI are mental health trainings presented on a smartphone. We model EMA as linear dynamical systems (DS) and EMI as perturbations. Using concepts from network control theory, we propose and evaluate three personalized data-driven intervention delivery strategies. Moreover, we study putative change mechanisms in response to interventions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We identify promising intervention delivery strategies that outperform empirical strategies in simulation. We pinpoint interventions with a high positive impact on the network, at low energetic costs. Although mechanisms differ between individuals - demanding personalized solutions - the proposed strategies are generic and applicable to various real-world settings.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Combined with knowledge from mental health experts, DS and control algorithms may provide powerful data-driven and personalized intervention delivery and evaluation strategies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11495417/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142512226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neurocognitive functioning during adolescence: Spanish validation of the Penn Computerized Neurocognitive Battery","authors":"Xacobe Fernández-García,&nbsp;Félix Inchausti,&nbsp;Alicia Pérez-Albéniz,&nbsp;Javier Ortuño-Sierra,&nbsp;Raquel Falcó,&nbsp;Eduardo Fonseca-Pedrero","doi":"10.1002/mpr.2035","DOIUrl":"10.1002/mpr.2035","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>The Penn Computerized Neurocognitive Battery - Child Version (PennCNB-cv) is presented as a brief tool that allows comprehensive and automated assessment of 5 factors (via 14 performance tasks): Executive Control, Episodic Memory, Complex Cognition, Social Cognition, and Sensorimotor Speed. The literature links (dys)functions in these areas with psycho(patho)logical constructs, but evidence is scarce among Spanish-speaking youth. Therefore, this study aims to validate the PennCNB-cv in a community sample of Spanish adolescents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>After a process of (back)translation and adaptation by bilingual researchers, the PennCNB-cv was administered in 34 schools. The sample included 1506 students, ages 14–19, 44.28% were male. Preliminary treatment of the data included descriptive and correlational statistics. To provide evidence of structural validity, exploratory and confirmatory factor analyses were performed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Results from the exploratory and confirmatory factor analysis showed a four-factor model (Complex Cognition, Executive Control, Episodic Memory, and Social Cognition) as the most appropriate. These findings provide compelling evidence in favor of the a priori theory that underpinned the development<b>​</b> of the CNB.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The study of the psychometric properties showed that the Spanish version of the PennCNB-cv, seems to be an adequate tool for assessing neurocognitive functioning during adolescence.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11493150/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142479633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Holland Sleep Disorders Questionnaire: Factorial structure and measurement invariance in a psychiatric sample relative to the general population","authors":"Teus Mijnster,&nbsp;Klaas J. Wardenaar,&nbsp;Gretha J. Boersma,&nbsp;Maaike M. van Veen,&nbsp;Daniëlle Cath,&nbsp;Gerard A. Kerkhof,&nbsp;Marike Lancel","doi":"10.1002/mpr.70004","DOIUrl":"10.1002/mpr.70004","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Although common, sleep disorders often remain undiagnosed in psychiatric patients. A screening instrument, like the Holland Sleep Disorders Questionnaire (HSDQ) could improve this. Previous work indicated a 6-factor structure for the HSDQ, but this hasn't been investigated in psychiatric patients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>HSDQ data was collected in a psychiatric-outpatient sample (<i>n</i> = 1082) and general-population sample (<i>n</i> = 2089). Internal reliability of the HSDQ was investigated and Confirmatory Factor Analyses (CFA) were used to compare 1-, 6-, and second-order 6-factor models in both samples. Next, multigroup-CFA was used to investigate measurement invariance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Except for one subscale, internal reliability was acceptable in both samples. The 6-factor structure model fitted best in both samples and investigation of measurement invariance showed evidence for equality of the overall factor structure (configural invariance). Addition of equality constraints on factor loadings (metric invariance) and item thresholds (scalar invariance) showed good fit for all fit statistics, except for one. Exploratory analyses identified three items for metric and three different items for scalar invariance explaining this non-invariance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The HSDQ has a 6-factor structure in psychiatric patients, which is comparable to the general population. However, due to the observed non-invariance, users should be cautious with comparing HSDQ scores between psychiatric and general populations.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448362/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142367283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of a multicenter randomized controlled trial of a post-discharge suicide prevention intervention for high-risk psychiatric inpatients: The Veterans Coordinated Community Care Study","authors":"Lauren M. Weinstock,&nbsp;Todd M. Bishop,&nbsp;Mark S. Bauer,&nbsp;Jeffrey Benware,&nbsp;Robert M. Bossarte,&nbsp;John Bradley,&nbsp;Steven K. Dobscha,&nbsp;Jessica Gibbs,&nbsp;Sarah M. Gildea,&nbsp;Hannah Graves,&nbsp;Gretchen Haas,&nbsp;Samuel House,&nbsp;Chris J. Kennedy,&nbsp;Sara J. Landes,&nbsp;Howard Liu,&nbsp;Alex Luedtke,&nbsp;Brian P. Marx,&nbsp;Aletha Miller,&nbsp;Matthew K. Nock,&nbsp;Richard R. Owen,&nbsp;Wilfred R. Pigeon,&nbsp;Nancy A. Sampson,&nbsp;Alejandro Santiago-Colon,&nbsp;Geetha Shivakumar,&nbsp;Snezana Urosevic,&nbsp;Ronald C. Kessler","doi":"10.1002/mpr.70003","DOIUrl":"10.1002/mpr.70003","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The period after psychiatric hospital discharge is one of elevated risk for suicide-related behaviors (SRBs). Post-discharge clinical outreach, although potentially effective in preventing SRBs, would be more cost-effective if targeted at high-risk patients. To this end, a machine learning model was developed to predict post-discharge suicides among Veterans Health Administration (VHA) psychiatric inpatients and target a high-risk preventive intervention.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The Veterans Coordinated Community Care (3C) Study is a multicenter randomized controlled trial using this model to identify high-risk VHA psychiatric inpatients (<i>n</i> = 850) randomized with equal allocation to either the Coping Long Term with Active Suicide Program (CLASP) post-discharge clinical outreach intervention or treatment-as-usual (TAU). The primary outcome is SRBs over a 6-month follow-up. We will estimate average treatment effects adjusted for loss to follow-up and investigate the possibility of heterogeneity of treatment effects.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Recruitment is underway and will end September 2024. Six-month follow-up will end and analysis will begin in Summer 2025.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Results will provide information about the effectiveness of CLASP versus TAU in reducing post-discharge SRBs and provide guidance to VHA clinicians and policymakers about the implications of targeted use of CLASP among high-risk psychiatric inpatients in the months after hospital discharge.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical trials registration</h3>\u0000 \u0000 <p>ClinicalTrials.Gov identifier: NCT05272176 (https://www.clinicaltrials.gov/ct2/show/NCT05272176).</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11443605/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142331578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Validation of the German version of the 25-item hikikomori questionnaire 25”","authors":"","doi":"10.1002/mpr.70002","DOIUrl":"https://doi.org/10.1002/mpr.70002","url":null,"abstract":"<p>Hajek, A., Teo, A. R., Zwar, L., &amp; König, H. H. (2024). Validation of the German version of the 25-item hikikomori questionnaire 25. <i>International Journal of Methods in Psychiatric Research</i>, 33(2), e2027.</p><p>We noticed that there is an error in the title:</p><p>Incorrect title: Validation of the German version of the 25-item hikikomori questionnaire 25.</p><p>Correct title: Validation of the German version of the 25-item hikikomori questionnaire (HQ-25).</p><p>We apologize for this error.</p>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing an accurate and efficient tool for the internalizing spectrum: A simulation study of the adaptive algorithm to the Inventory of Depression and Anxiety Symptoms II (IDAS-II)","authors":"M. Sanchez-Garcia,&nbsp;A. De la Rosa-Cáceres,&nbsp;G. Rossi,&nbsp;C. Diaz-Batanero","doi":"10.1002/mpr.2032","DOIUrl":"10.1002/mpr.2032","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This research simulates an adaptive version of the IDAS-II (IDAS-CAT).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>2021 participants from both community (<i>n</i> = 1692) and patients (<i>n</i> = 329) samples completed the IDAS-II. Item response theory metric properties of the IDAS-II full test and the 20-items of the general depression (GD) scale were obtained. The efficiency and accuracy of different computerized adaptive algorithms were simulated. Different subsamples completed additional external measures in order to gather evidence of validity of the scores estimated with the simulated adaptive algorithms selected.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Both unidimensional computerized adaptive testing algorithm selected for the GD scale and the bifactor model chosen for the full test, allow 70% reduction in the length of administration, maintaining a measurement error below 0.30 on the general and 0.50 on the specific factors. Results show high correlations of the scores estimated with the adaptive algorithms and the estimates based on the full test, as well as correlations with external criteria almost equal to those generated with the full test.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>IDAS-CAT could be a reliable and fast tool for measuring internalizing spectrum.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.2032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing a transdiagnostic Ecological Momentary Assessment protocol for psychopathology","authors":"Alberto Jover Martínez,&nbsp;Lotte H. J. M. Lemmens,&nbsp;Eiko I. Fried,&nbsp;Anne Roefs","doi":"10.1002/mpr.2028","DOIUrl":"https://doi.org/10.1002/mpr.2028","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>The network approach to psychopathology posits that mental disorders emerge from dynamic interactions among psychopathology-relevant variables. Ecological Momentary Assessment (EMA) is frequently used to assess these variables in daily life. Considering the transdiagnostic nature of the network approach to psychopathology, this study describes the development of a transdiagnostic EMA protocol for psychopathology.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>First, 96 clinicians completed an online survey, providing three EMA constructs for up to three disorders they specialize in, and three EMA constructs relevant across disorders (transdiagnostic constructs). Second, 12 focus groups were conducted with clinical experts for specific types of diagnoses (e.g., mood disorders, anxiety disorders). Finally, a selection of items was reached by consensus. Two raters independently coded the online survey responses with an inter-rater agreement of 87.3%.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Jaccard indices showed up to 52.6% overlap in EMA items across types of diagnoses. The most frequently reported transdiagnostic constructs were mood, sleep quality, and stress. A final set of EMA items is created based on items' frequency and informativeness, ensuring completeness across diagnoses and minimizing burden.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The described procedure resulted in a feasible EMA protocol to examine psychopathology transdiagnostically. Feasibility was helped by the overlap in mentioned symptoms across disorders. Such overlap raises questions about the validity of DSM categories.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.2028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141730352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}