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Innovative Science for Mental Health: Complex Models from Theory to Clinical Applications

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Mental Health".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 6379

Special Issue Editor

Dr. Elena Tomba

E-Mail Website
Guest Editor
Department of Psychology “Renzo Canestrari”, University of Bologna, Viale Berti Pichat 5, 40127 Bologna, Italy
Interests: eating disorders; psychological well-being and well-being therapy; health psychology; psychosomatic medicine; cognitive distortions; eco-emotions; healthy and sustainable eating
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The last decade has witnessed the rise of complex approaches to the study of psychopathology, from structural equation modelling to network psychometrics. Increasingly, complex modelling approaches have been adopted in psychological research, as they more accurately reflect complex clinical psychological phenomena and underlying dynamics that go beyond the categorical approach of psychiatric nosology.

The Journal of Clinical Medicine’s Clinical Psychology section is planning a Special Issue on complex models in mental health research, with a special interest in their translation to clinical practice. Appropriate submissions include empirical papers on advances in the application of complex approaches to the study of mental health using network models and structural equation modelling, and may include clinical studies with particular interest for those examining both psychopathology and specific non-psychopathological factors (e.g., clinimetric domains, transdiagnostic and/or positive factors, and social and medical variables). Works exploring mental health conditions that are relatively understudied and/or with a longitudinal design, especially those adopting Ecological Momentary Assessment methods, are encouraged. Similarly, we welcome studies applying network models and structural equation modelling to explore comorbidities and the clinical prognostic value of study results. Finally, we invite consensus papers and expert reviews discussing current methodological issues and advancements in the field.

For this Special Issue, our goal is to gather works from the leading experts to publish high-quality articles that will contribute to bridging complex approaches to mental health conditions with clinical practice. Thus, we encourage submissions that discuss the state of the art and ongoing knowledge gaps, controversies, and cutting-edge advances in psychological network analysis and structural equation modelling.

Prof. Dr. Elena Tomba
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • psychometric network analysis
  • network theory
  • clinical psychology
  • clinimetrics
  • psychopathology
  • psychiatric conditions
  • structural equation modelling

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Published Papers (3 papers)

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Research

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19 pages, 335 KiB  
Article
The Reliability and Validity of the Polish Version of the Schema Mode Inventory (SMI)
by Anna Grażka, Klara Królewiak, Klaudia Sójta and Dominik Strzelecki
J. Clin. Med. 2023, 12(19), 6400; https://doi.org/10.3390/jcm12196400 - 8 Oct 2023
Cited by 1 | Viewed by 1218
Abstract
(1) Background: Schema therapy and working with schema modes is increasingly popular. Since there is no validated tool to measure schema modes in Poland, in this study, we present an assessment of the psychometric properties of the Polish version the Short Schema Mode [...] Read more.
(1) Background: Schema therapy and working with schema modes is increasingly popular. Since there is no validated tool to measure schema modes in Poland, in this study, we present an assessment of the psychometric properties of the Polish version the Short Schema Mode Inventory (SMI) adaptation. (2) Methods: First, the original version of the scale was translated. Subsequently, a validity and reliability study was conducted on a sample of 240 patients and 400 non-patients. In particular, the factor structure of the inventory was checked, internal reliability and intercorrelations between subscales were tested, differences between the clinical and non-clinical groups in terms of the severity of each factor were examined, and construct validity was assessed by comparing the association of results with external variables. (3) Results: The results did not conclusively confirm the 14-factor structure postulated in the original scale. Nevertheless, the relatively best fit indices were obtained for such a model. The internal reliability for the 14 subscales ranged from 0.74 to 0.95 (McDonald’s omega). Correlations between subscales demonstrated values from 0.03 to 0.72. The existence of differences between the clinical and non-clinical groups and the construct validity were confirmed. (4) Conclusions: The psychometric evaluation performed is mostly similar to the results obtained for other adaptations, and the results justify the inventory being used for research and clinical purposes when knowledge of its limitations is included. Full article
(This article belongs to the Special Issue Innovative Science for Mental Health: Complex Models from Theory to Clinical Applications)
16 pages, 1487 KiB  
Article
Mapping the Path to Cognitive Balance: Applying the States of Mind Model and Network Analysis to Eating Disorder Patients
by Lucia Tecuta, Giuliano Tomei, Raymond DiGiuseppe, Romana Schumann, Donatella Ballardini and Elena Tomba
J. Clin. Med. 2023, 12(18), 5790; https://doi.org/10.3390/jcm12185790 - 6 Sep 2023
Cited by 1 | Viewed by 2026
Abstract
Background: In eating disorders (EDs), cognitive-behavioral therapy (CBT) represents one of the first-line treatment options albeit with sub-optimal results. The assessment of cognitive balance through an index measuring increased adaptive thinking and reduced maladaptive thinking, the desired outcomes, and the ultimate goal [...] Read more.
Background: In eating disorders (EDs), cognitive-behavioral therapy (CBT) represents one of the first-line treatment options albeit with sub-optimal results. The assessment of cognitive balance through an index measuring increased adaptive thinking and reduced maladaptive thinking, the desired outcomes, and the ultimate goal of CBT treatments warrants attention. The states of mind model (SOM) provides a framework through which a cognitive balance index can be defined. The current cross-sectional controlled study tested the clinical utility of the SOM model in a sample of ED outpatients. Methods: ED outpatients (n = 199) were assessed at baseline with the attitudes and beliefs scale-2 (ABS-2) for rational beliefs (RBs) and irrational beliefs (IBs), from which a SOM ratio score index (RBs/(RBs + IBs)) was calculated, the eating disorder inventory-3 (EDI-3) for ED symptoms and ED-related psychopathological features, the psychological well-being scales (PWB) for positive psychological functioning. A matched control sample (n = 95) was also assessed with the ABS-2. Results: ED patients exhibited significantly lower SOM and RB scores compared to controls. Network analysis results highlighted the centrality of the SOM-cognitive balance index, PWB-self-acceptance, and EDI-3-general psychological maladjustment, as well as the importance of the influence that cognitive balance and general psychological maladjustment exert on each other. Conclusions: The findings support the clinical utility of the SOM ratio applied to cognitions in EDs. This demonstrates its ability to differentiate such patients from controls and in capturing worse ED-related general psychopathology as well as compromised aspects of psychological well-being, in particular self-acceptance and environmental mastery. It thus might be considered in CBT treatment of EDs a potential cognitive clinimetric and clinical index of ED severity indicating key difficulties in counteracting maladaptive thinking with adaptive thinking. Full article
(This article belongs to the Special Issue Innovative Science for Mental Health: Complex Models from Theory to Clinical Applications)
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Review

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10 pages, 725 KiB  
Review
Mental Health for All: The Case for Investing in Digital Mental Health to Improve Global Outcomes, Access, and Innovation in Low-Resource Settings
by Manuel Faria, Stella Tan Pei Zin, Roman Chestnov, Anne Marie Novak, Shahar Lev-Ari and Michael Snyder
J. Clin. Med. 2023, 12(21), 6735; https://doi.org/10.3390/jcm12216735 - 25 Oct 2023
Cited by 5 | Viewed by 2478
Abstract
Mental health disorders are an increasing global public health concern that contribute to morbidity, mortality, disability, and healthcare costs across the world. Biomedical and psychological research has come a long way in identifying the importance of mental health and its impact on behavioral [...] Read more.
Mental health disorders are an increasing global public health concern that contribute to morbidity, mortality, disability, and healthcare costs across the world. Biomedical and psychological research has come a long way in identifying the importance of mental health and its impact on behavioral risk factors, physiological health, and overall quality of life. Despite this, access to psychological and psychiatric services remains widely unavailable and is a challenge for many healthcare systems, particularly those in developing countries. This review article highlights the strengths and opportunities brought forward by digital mental health in narrowing this divide. Further, it points to the economic and societal benefits of effectively managing mental illness, making a case for investing resources into mental healthcare as a larger priority for large non-governmental organizations and individual nations across the globe. Full article
(This article belongs to the Special Issue Innovative Science for Mental Health: Complex Models from Theory to Clinical Applications)
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