Advances in Psychology and Mental Health: From Epidemiological Research to Clinical Interventions

Special Issue Editor


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Guest Editor
Faculty of Psychology, Metropolitan College, Campus Crete, In Collaboration with University of East London, 74100 Gallos, Greece
Interests: public health; environmental epidemiology; mental health outcomes

Special Issue Information

Dear Colleagues,

This Special Issue is set to explore current cutting-edge developments in psychology and mental health, focusing on the continuum from nation-wide and large-scale epidemiological research with robust study designs and methodological frameworks to the design and implementation of effective behavioral change interventions and clinical interventions and/or trials. It will highlight key mental health indicators and recent findings from different countries, while aspiring to depict how epidemiological findings can inform targeted interventions that address mental health issues at both the individual and population levels.

Topics include the identification of risk factors for mental illness, mapping or assessment of mental disorder burdens, the development and validation of novel scales and research tools in psychology, the role of preventive interventions, and the application of behavioral science to promote mental health and well-being across diverse populations. This issue aims to bridge research and practice, offering insights into translating data-driven evidence into impactful interventions.

Dr. Dimitra Sifaki-Pistolla
Guest Editor

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Keywords

  • psychology
  • mental health
  • epidemiological research
  • clinical interventions
  • behavioral change interventions
  • risk factors
  • preventive strategies
  • public health
  • evidence-based practice
  • population health
  • mental health outcomes
  • behavioral science
  • tools
  • scales
  • diverse populations
  • global mental health

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Published Papers (1 paper)

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Research

12 pages, 702 KiB  
Article
Mental Health Continuum—Short Form: Confirmatory Factor Analysis (CFA) of Competing Models with Adolescents from Portugal
by Luís Loureiro, José Santos and Cândida Loureiro
Eur. J. Investig. Health Psychol. Educ. 2025, 15(4), 43; https://doi.org/10.3390/ejihpe15040043 - 23 Mar 2025
Viewed by 1124
Abstract
The concept of positive mental health (PMH) and therefore mental well-being (MWB) have taken center stage over the last few decades. The Mental Health Continuum—Short Form (MHC-SF) is one of the most important tools for assessing MWB. This study aims to assess the [...] Read more.
The concept of positive mental health (PMH) and therefore mental well-being (MWB) have taken center stage over the last few decades. The Mental Health Continuum—Short Form (MHC-SF) is one of the most important tools for assessing MWB. This study aims to assess the psychometric properties and dimensionality of the Portuguese version of the MHC-SF by comparing three competing models. Methods: Between January and March of 2021, a survey was conducted with a convenience sample of 495 Portuguese adolescents aged 12 to 18 years, enrolled in grades 7 to 12. Descriptive statistics and bivariate statistical tests and measures associated with confirmatory factor analysis (CFA) were calculated. Results: The results of the CFA support the idea that the bifactor model fits the data better than the other competing models. The indices support unidimensionality, namely the explained common variance (ECV = 0.81), the Percentage of Uncontaminated Correlations (PUC = 0.69), and the omega hierarchical (ωH = 0.89), and point to the existence of a general MHC-SF factor. The scale showed high reliability (ω = 0.95) in the general factor. The MHC-SF has concurrent validity, correlating with other scales that assess aspects related to mental health and well-being. Conclusion: The results point to the adequacy of the bifactor model and suggest the existence of a general factor of PMH, confirming that the total score of the scale can be used. Full article
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