Janik Fechtelpeter, Christian Rauschenberg, Hamidreza Jalalabadi, Benjamin Boecking, Therese van Amelsvoort, Ulrich Reininghaus, Daniel Durstewitz, Georgia Koppe
Objectives
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.
Methods
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.
Results
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.
Conclusions
Combined with knowledge from mental health experts, DS and control algorithms may provide powerful data-driven and personalized intervention delivery and evaluation strategies.
目的：生态瞬间干预（EMI）是在个人日常生活中实施的数字移动健康干预，通过因人而异、因地制宜地调整干预内容来改善心理健康。此外，通过生态瞬间评估（EMA）进行的经验取样可提供有关个人心理健康状况的动态背景信息。我们提出了一个个性化的数据驱动通用框架，用于选择和评估基于 EMA 的 EMI：我们分析了之前研究中公布的 10 个个体的 EMA/EMI 时间序列。EMA 由多元心理李克特量表组成。EMI 是通过智能手机进行的心理健康培训。我们将 EMA 建模为线性动力系统 (DS)，将 EMI 建模为扰动。利用网络控制理论的概念，我们提出并评估了三种个性化数据驱动的干预策略。此外，我们还研究了应对干预措施的推定变化机制：结果：我们确定了有前景的干预策略，这些策略在模拟中的表现优于经验策略。我们确定的干预措施对网络有很大的积极影响，但能量成本较低。虽然不同个体的机制各不相同，需要个性化的解决方案，但所提出的策略是通用的，适用于各种现实环境：结合心理健康专家的知识，DS 和控制算法可提供强大的数据驱动和个性化干预实施与评估策略。
{"title":"A control theoretic approach to evaluate and inform ecological momentary interventions","authors":"Janik Fechtelpeter, Christian Rauschenberg, Hamidreza Jalalabadi, Benjamin Boecking, Therese van Amelsvoort, Ulrich Reininghaus, Daniel Durstewitz, 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}
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.
Methods
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.
Results
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 of the CNB.
Conclusions
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.
{"title":"Neurocognitive functioning during adolescence: Spanish validation of the Penn Computerized Neurocognitive Battery","authors":"Xacobe Fernández-García, Félix Inchausti, Alicia Pérez-Albéniz, Javier Ortuño-Sierra, Raquel Falcó, 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}
Teus Mijnster, Klaas J. Wardenaar, Gretha J. Boersma, Maaike M. van Veen, Daniëlle Cath, Gerard A. Kerkhof, Marike Lancel
Objectives
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.
Methods
HSDQ data was collected in a psychiatric-outpatient sample (n = 1082) and general-population sample (n = 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.
Results
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.
Conclusion
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.
{"title":"The Holland Sleep Disorders Questionnaire: Factorial structure and measurement invariance in a psychiatric sample relative to the general population","authors":"Teus Mijnster, Klaas J. Wardenaar, Gretha J. Boersma, Maaike M. van Veen, Daniëlle Cath, Gerard A. Kerkhof, 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}
Lauren M. Weinstock, Todd M. Bishop, Mark S. Bauer, Jeffrey Benware, Robert M. Bossarte, John Bradley, Steven K. Dobscha, Jessica Gibbs, Sarah M. Gildea, Hannah Graves, Gretchen Haas, Samuel House, Chris J. Kennedy, Sara J. Landes, Howard Liu, Alex Luedtke, Brian P. Marx, Aletha Miller, Matthew K. Nock, Richard R. Owen, Wilfred R. Pigeon, Nancy A. Sampson, Alejandro Santiago-Colon, Geetha Shivakumar, Snezana Urosevic, Ronald C. Kessler
Background
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.
Methods
The Veterans Coordinated Community Care (3C) Study is a multicenter randomized controlled trial using this model to identify high-risk VHA psychiatric inpatients (n = 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.
Results
Recruitment is underway and will end September 2024. Six-month follow-up will end and analysis will begin in Summer 2025.
Conclusion
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.
{"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, Todd M. Bishop, Mark S. Bauer, Jeffrey Benware, Robert M. Bossarte, John Bradley, Steven K. Dobscha, Jessica Gibbs, Sarah M. Gildea, Hannah Graves, Gretchen Haas, Samuel House, Chris J. Kennedy, Sara J. Landes, Howard Liu, Alex Luedtke, Brian P. Marx, Aletha Miller, Matthew K. Nock, Richard R. Owen, Wilfred R. Pigeon, Nancy A. Sampson, Alejandro Santiago-Colon, Geetha Shivakumar, Snezana Urosevic, 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}
Hajek, A., Teo, A. R., Zwar, L., & König, H. H. (2024). Validation of the German version of the 25-item hikikomori questionnaire 25. International Journal of Methods in Psychiatric Research, 33(2), e2027.
We noticed that there is an error in the title:
Incorrect title: Validation of the German version of the 25-item hikikomori questionnaire 25.
Correct title: Validation of the German version of the 25-item hikikomori questionnaire (HQ-25).
We apologize for this error.
Hajek, A., Teo, A. R., Zwar, L., & König, H. H. (2024).德文版 25 项蛰居族问卷 25 的验证。International Journal of Methods in Psychiatric Research, 33(2), e2027.We noticed that there is an error in the title:Incorrect title：德文版 25 项蛰居族问卷 25 的验证：Validation of the German version of the 25-item hikikomori questionnaire (HQ-25).我们对此错误表示歉意。
{"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., & 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}
M. Sanchez-Garcia, A. De la Rosa-Cáceres, G. Rossi, C. Diaz-Batanero
Objectives
This research simulates an adaptive version of the IDAS-II (IDAS-CAT).
Methods
2021 participants from both community (n = 1692) and patients (n = 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.
Results
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.
Conclusions
IDAS-CAT could be a reliable and fast tool for measuring internalizing spectrum.
{"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, A. De la Rosa-Cáceres, G. Rossi, 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}
Alberto Jover Martínez, Lotte H. J. M. Lemmens, Eiko I. Fried, Anne Roefs
Objectives
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.
Methods
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%.
Results
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.
Conclusions
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.
目的 心理病理学的网络方法认为，精神障碍是由心理病理学相关变量之间的动态相互作用引起的。生态瞬间评估（EMA）常用于评估日常生活中的这些变量。考虑到精神病理学网络方法的跨诊断性质，本研究介绍了针对精神病理学的跨诊断 EMA 方案的开发情况。 方法 首先，96 名临床医生完成了一项在线调查，为他们擅长的三种疾病提供了三个 EMA 构建，并提供了三个跨疾病相关的 EMA 构建（跨诊断构建）。其次，与特定诊断类型（如情绪障碍、焦虑障碍）的临床专家进行了 12 次焦点小组讨论。最后，在达成共识的基础上对项目进行筛选。两名评分员对在线调查回复进行独立编码，评分员之间的一致性为 87.3%。 结果 Jaccard 指数显示，不同诊断类型的 EMA 项目重叠率高达 52.6%。最常报告的跨诊断结构是情绪、睡眠质量和压力。根据项目的频率和信息量创建了一套最终的 EMA 项目，确保了不同诊断之间的完整性，并最大限度地减轻了负担。 结论 所描述的程序产生了一个可行的 EMA 方案，用于检查跨诊断的精神病理学。不同疾病的症状重叠有助于提高可行性。这种重叠引发了对 DSM 分类有效性的质疑。
{"title":"Developing a transdiagnostic Ecological Momentary Assessment protocol for psychopathology","authors":"Alberto Jover Martínez, Lotte H. J. M. Lemmens, Eiko I. Fried, 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}
Andreas Lundin, Joseph Junior Muwonge, Maria Lalouni, Johan Åhlén
Objectives
This study aimed to examine if the General Health Questionnaire (GHQ)-12 and Kessler 6 (K6) assess the same underlying construct and to develop a score conversion table for the two scales.
Methods
A random sample of 4303 people who completed both the GHQ-12 and K6 in 2021 were analyzed. Exploratory bifactor analysis evaluated if both scales measured the same construct, and Rasch analysis assessed item severities. The scales were transformed using Equipercentile equivalence for comparability and score conversion. Agreement was estimated with Cohen's Kappa coefficient, along with raw positive and negative agreement.
Results
We found that the two scales measure the same phenomenon to the extent that they can be made equivalent. Conversion tables between GHQ-12 and K6 are presented. Applying the commonly used cut-off of ≥3 on the GHQ-12 bi-modal scoring, we found that the best corresponding cut-off on the K6 would be ≥8. The prevalence of psychological distress was then 22% with GHQ-12% and 21% with K6.
Conclusions
The GHQ-12 and K6 measure the same construct and corresponding cut-off scores on one scale were found for the other scale. This is valuable for longitudinal studies or time series where one scale has replaced the other scale.
{"title":"Measuring psychological distress using the 12-item general health questionnaire and the six-item Kessler psychological distress scale. Psychometric comparison and equipercentile equating of the two scales","authors":"Andreas Lundin, Joseph Junior Muwonge, Maria Lalouni, Johan Åhlén","doi":"10.1002/mpr.2033","DOIUrl":"10.1002/mpr.2033","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study aimed to examine if the General Health Questionnaire (GHQ)-12 and Kessler 6 (K6) assess the same underlying construct and to develop a score conversion table for the two scales.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A random sample of 4303 people who completed both the GHQ-12 and K6 in 2021 were analyzed. Exploratory bifactor analysis evaluated if both scales measured the same construct, and Rasch analysis assessed item severities. The scales were transformed using Equipercentile equivalence for comparability and score conversion. Agreement was estimated with Cohen's Kappa coefficient, along with raw positive and negative agreement.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found that the two scales measure the same phenomenon to the extent that they can be made equivalent. Conversion tables between GHQ-12 and K6 are presented. Applying the commonly used cut-off of ≥3 on the GHQ-12 bi-modal scoring, we found that the best corresponding cut-off on the K6 would be ≥8. The prevalence of psychological distress was then 22% with GHQ-12% and 21% with K6.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The GHQ-12 and K6 measure the same construct and corresponding cut-off scores on one scale were found for the other scale. This is valuable for longitudinal studies or time series where one scale has replaced the other scale.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.2033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141535834","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}
Margreet Ten Have, Marja J. H. Van Bon-Martens, Frederiek Schouten, Saskia Van Dorsselaer, Laura Shields-Zeeman, Annemarie I. Luik
Objectives
The Mental Health Inventory (MHI-5) is frequently used as a screener for mood and anxiety disorders. However, few population-based studies have validated it against a diagnostic instrument assessing disorders following current diagnostic criteria.
Methods
Within the third Netherlands Mental Health Survey and Incidence Study (NEMESIS-3), a representative population-based study of adults (N = 6194; age: 18–75 years), the MHI-5 was used to measure general mental ill-health in the past month. Presence of mood (major depressive disorder, persistent depressive disorder, or bipolar disorder) and anxiety disorders (panic disorder, agoraphobia, social phobia, or generalized anxiety disorder) in the past month was assessed with a slightly modified version of the Composite International Diagnostic Interview 3.0 per the Diagnostic and Statistical Manual of Mental disorders-5.
Results
The MHI-5 was good to excellent at distinguishing people with and without a mood disorder, an anxiety disorder, and any mood or anxiety disorder. The cut-off value associated with the highest sensitivity and highest specificity for mood disorder was ≤68, and ≤76 for an anxiety disorder or any mood or anxiety disorder.
Conclusions
The MHI-5 can identify individuals at high risk of a current mood or anxiety disorder in the general population when diagnostic interviews are too time consuming.
{"title":"Validity of the five-item mental health inventory for screening current mood and anxiety disorders in the general population","authors":"Margreet Ten Have, Marja J. H. Van Bon-Martens, Frederiek Schouten, Saskia Van Dorsselaer, Laura Shields-Zeeman, Annemarie I. Luik","doi":"10.1002/mpr.2030","DOIUrl":"10.1002/mpr.2030","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>The Mental Health Inventory (MHI-5) is frequently used as a screener for mood and anxiety disorders. However, few population-based studies have validated it against a diagnostic instrument assessing disorders following current diagnostic criteria.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Within the third Netherlands Mental Health Survey and Incidence Study (NEMESIS-3), a representative population-based study of adults (<i>N</i> = 6194; age: 18–75 years), the MHI-5 was used to measure general mental ill-health in the past month. Presence of mood (major depressive disorder, persistent depressive disorder, or bipolar disorder) and anxiety disorders (panic disorder, agoraphobia, social phobia, or generalized anxiety disorder) in the past month was assessed with a slightly modified version of the Composite International Diagnostic Interview 3.0 per the Diagnostic and Statistical Manual of Mental disorders-5.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The MHI-5 was good to excellent at distinguishing people with and without a mood disorder, an anxiety disorder, and any mood or anxiety disorder. The cut-off value associated with the highest sensitivity and highest specificity for mood disorder was ≤68, and ≤76 for an anxiety disorder or any mood or anxiety disorder.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The MHI-5 can identify individuals at high risk of a current mood or anxiety disorder in the general population when diagnostic interviews are too time consuming.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11219508/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141494107","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}
The aim of this study was to develop the Motivations for Coping After Disaster Scale. To test the construct validity of the scale, a total of 676 data were collected from three different sampling groups (N1: 388; N2: 194; N3: 94).
Methods
Exploratory Factor Analysis, Confirmatory Factor Analysis (CFA) and Criterion validity analysis were conducted to test the construct validity of the scale.
Results
As a result of CFA, it was seen that the post-disaster scale had a five-dimensional structure (spiritual values, hope, friend support, solidarity, family support). The loadings of the items of the scale are at a good level. As a result of CFA, the scale was found to have acceptable and good fit indices (χ2/sd = 2.690; RMSEA (Root Mean Square Error of Approximation) = 0.066; SRMR (Standardized Root Mean Square Residual) = 0.047; CFI (Comparative Fit Index) = 0.948; GFI (Goodness of Fit Index) = 0.917). The results of the criterion validity analysis show that the scale has criterion validity. Cronbach Alpha internal consistency coefficient shows that the scale is highly reliable (Total = 0.923).
Conclusions
The results of this study show that the Post-Disaster Coping Motivations Scale is a valid and reliable instrument. It is thought that the scale can make an important contribution to understanding psychological recovery processes after disaster and providing appropriate support to individuals.
{"title":"Development of a scale examining post-disaster coping motivations in Turkey after the 6 February earthquake","authors":"Yahya Şahi̇n, Nesrullah Okan","doi":"10.1002/mpr.2031","DOIUrl":"https://doi.org/10.1002/mpr.2031","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>The aim of this study was to develop the Motivations for Coping After Disaster Scale. To test the construct validity of the scale, a total of 676 data were collected from three different sampling groups (N1: 388; N2: 194; N3: 94).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Exploratory Factor Analysis, Confirmatory Factor Analysis (CFA) and Criterion validity analysis were conducted to test the construct validity of the scale.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>As a result of CFA, it was seen that the post-disaster scale had a five-dimensional structure (spiritual values, hope, friend support, solidarity, family support). The loadings of the items of the scale are at a good level. As a result of CFA, the scale was found to have acceptable and good fit indices (<i>χ</i><sup>2</sup>/sd = 2.690; RMSEA (Root Mean Square Error of Approximation) = 0.066; SRMR (Standardized Root Mean Square Residual) = 0.047; CFI (Comparative Fit Index) = 0.948; GFI (Goodness of Fit Index) = 0.917). The results of the criterion validity analysis show that the scale has criterion validity. Cronbach Alpha internal consistency coefficient shows that the scale is highly reliable (Total = 0.923).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The results of this study show that the Post-Disaster Coping Motivations Scale is a valid and reliable instrument. It is thought that the scale can make an important contribution to understanding psychological recovery processes after disaster and providing appropriate support to individuals.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.2031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141435678","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}
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