The use of machine learning to improve the identification and assessment of internet-related disorders

The Internet's growing significance has raised global concerns about Internet-related disorders. Organizations like the American Psychological Association (APA) and the World Health Organization (WHO) have already highlighted the potential negative effects of excessive Internet use on mental health. Since the inclusion of gaming disorder as a condition for further study in the DSM-5 and its recognition as a mental disorder in ICD-11, research on the problematic use of the Internet (PUI) become a topic of even greater significance. The present PhD thesis aims to address two key research priorities in the field of PUI, formulated by the European Network for PUI, related to (a) contributing to their conceptualization and (b) improving their assessment. In this regard, four different studies targeting gaming disorder and cyberchondria, a condition characterized by excessive and uncontrollable searching for health-related information on the Internet, were deployed. This thesis centrally focuses on using machine learning (ML) and traditional statistics to reach these objectives. In Study 1, the levels of cyberchondria during the pandemic were investigated and compared with the retrospectively assessed pre-pandemic levels. It also identified psychological factors that could predict the level of cyberchondria during the pandemic. In Study 2, different gamer groups based on their profiles of passion for gaming were identified. It also observed how gaming disorder symptoms, assessed within the substance use disorder and gambling frameworks (e.g., tolerance, withdrawal, preoccupation, mood modification), are linked to harmonious and/or an obsessive passion for gaming. Study 3 used gaming disorder criteria to predict depression and well-being levels. It also identified predictors of gaming disorder level and their importance in the prediction of each DSM-5 criterion proposed for Internet gaming disorder. Finally, Study 4 warns against the misuse of algorithm-generated data in ML analyses and its negative impact on the conceptualization and assessment of a PUI. Results from the studies suggest that cyberchondria and gaming disorder can be understood within the same general framework. Nevertheless, additional models specific to each condition can enhance their understanding and provide important insights for their treatment and prevention interventions. Regarding their assessment, the thesis supports the idea of a possible transdiagnostic nature of the criteria proposed by the ICD-11 for the assessment of gaming disorder and their potential capacity to address the various forms of PUI. The thesis also demonstrates that ML methodologies offer a helpful and convenient instrument for psychological research topics such as the PUI.R-AGR-3440 - PRIDE17/12252781 DRIVEN_Common - ZILIAN Andrea

Gaming passion contributes to the definition and identification of problematic gaming

Even if for most people playing video games is a healthy leisure activity, a minority of vulnerable users present an excessive use associated to negative consequences (e.g., psychosocial maladjustment, sleep interference) and functional impairment. The current study first aims to identify psychological factors that contribute to discriminate highly involved (but healthy) gamers from problematic gamers. For that purpose, we used a cluster analysis approach to identify different groups of gamers based on their profiles of passion towards gaming (using the Dualistic Model of Passion). Another objective of the present study is to explore, using supervised machine-learning, how gaming disorder symptoms, assessed within the substance use disorder framework (e.g., tolerance, withdrawal), might be linked to harmonious and/or an obsessive passion for gaming. Three distinct clusters of gamers were identified based on their passion profiles, including risky gamers, engaged gamers, and casual gamers. Supervised machine-learning algorithms identified that specific gaming disorder symptoms (salience, mood modification, tolerance, low level of conflict) were predominantly related to harmonious passion, whereas others (withdrawal, high level of conflict, relapse) were more directly related to obsessive passion. Our results support the relevance of person-centered approaches to the treatment of problematic gaming

The psychological syndrome associated with Long-COVID: A study protocol

Introduction: Chronic post-viral syndromes, including Long-COVID, are characterized by a range of persistent symptoms that occur following a viral infection. Psychological symptoms are prevalent in Long-COVID patients and can have a significant impact on their quality of life. However, the specific patterns of psychological symptoms, their associations with physical symptoms, and the factors predicting their severity remain poorly understood. Aims: This study aims to explore and systematically assess psychological symptoms in Long-COVID, to identify syndrome clusters based on these symptoms, to examine their relationship with physical symptoms, and to investigate the influence of pandemic-related variables. Methods: Descriptive, cross-sectional study with data collected through an online questionnaire across several EU countries, from February 2020 to December 2022. Participants were recruited using public relations, the social media and information campaigns directed at the public and health professionals using snowball sampling. Results: The findings will allow to phenotype Long-COVID related psychological symptom clusters based on self-reports. facilitating improved assessment and treatment approaches. Conclusions: The results will provide important knowledge for the public health management of the public healh management of Long COVID. The findings will contribute to a better understanding of the psychological symptoms associated with Long-COVID and the development of specific treatment guidelines for psychological burden associated with Long-COVID, thereby supporting management strategies to combat the after-effects of the COVID-19 pandemic, enhancing their overall well-being and quality of life

The Role of Emotion Regulation Strategies for Sexual Function and Mental Health: A Cluster Analytical Approach

We investigated distinct profiles in emotion regulation strategies (reappraisal and suppression) and their associations with sexual function and mental health. The online survey sample consisted of 5436 adult participants. The gender stratified cluster analysis resulted in a four-cluster solution for both men and women. Better sexual function and mental health scores were found for participants with high cognitive reappraisal and low expressive suppression. High expressive suppression was associated with higher anxiety and depression and worse sexual function. Sexological care should take into account the assessment of emotion regulation abilities and emotion regulation training interventions to support reappraisal strategies

The Role of Emotion Regulation Strategies for Sexual Function and Mental Health: A Cluster Analytical Approach.

peer reviewedWe investigated distinct profiles in emotion regulation strategies (reappraisal and suppression) and their associations with sexual function and mental health. The online survey sample consisted of 5436 adult participants. The gender stratified cluster analysis resulted in a four-cluster solution for both men and women. Better sexual function and mental health scores were found for participants with high cognitive reappraisal and low expressive suppression. High expressive suppression was associated with higher anxiety and depression and worse sexual function. Sexological care should take into account the assessment of emotion regulation abilities and emotion regulation training interventions to support reappraisal strategies

Psychometric Properties of the Multidimensional Assessment of Covid-19-Related Fears (MAC-RF) in French-Speaking Healthcare Professionals and Community Adults

The Multidimensional Assessment of COVID-19-Related Fears (MAC-RF) is an 8-item self-report measure, which is based on the theoretical premise that fear responses to COVID-19 involve different yet intertwined domains (i.e., bodily, relational, cognitive, and behavioural). In this multi-step study, we tested the psychometric properties of the French version of the MAC-RF and examined the reciprocal relationships among COVID-19-related fears. Data were collected in two French-speaking samples (N = 521 individuals from the community and N = 328 healthcare professionals). Internal reliability, convergent validity, construct validity, and internal structure of the MAC-RF were tested. The French version of the MAC-RF demonstrated good psychometric properties and a two-factor structure, with bodily and relational fears tapping into the first factor, and cognitive and behavioural fears tapping into the second factor. Healthcare professionals reported greater COVID-19-related fears than community participants. Correlation network analysis showed that fear for one’s own body and fear of taking action might increase the risk of experiencing other COVID-19-related fears. Limitations comprised the cross-sectional design of the study, risk of bias associated with self-report instruments, and use of online surveys. A careful assessment of different types of fear related to COVID-19 may have implications for prevention and clinical practice during the current coronavirus pandemic. The French version of the MAC-RF is valid and reliable and can thus be used for this purpose

Predictors of Cyberchondria during the COVID-19 pandemic: A cross-sectional study using supervised machine learning.

BACKGROUND Cyberchondria is characterized by repeated and compulsive online searches for health information, resulting in increased health anxiety and distress. It has been conceptualized as a multi-dimensional construct fueled by both anxiety and compulsivity-related factors and described as a "transdiagnostic compulsive behavioral syndrome" which is associated with health anxiety, problematic internet use and obsessive-compulsive symptoms. Cyberchondria is not included in the ICD-11 or the DSM-5, and its defining features, etiological mechanisms and assessment continue to be debated. OBJECTIVE This study aimed to investigate changes in the severity of cyberchondria during the pandemic and identify predictors of cyberchondria at this time. METHODS Data collection started on May 4, 2020 and ended on June 10, 2020, which corresponds to the first wave of the COVID-19 pandemic in Europe. At the time the present study took place, French-speaking countries in Europe (France, Switzerland, Belgium and Luxembourg) all implemented lockdown or semi-lockdown measures. The survey consisted of a questionnaire collecting demographic information (sex, age, education level and country of residence) and information on socioeconomic circumstances during the first lockdown (e.g., economic situation, housing and employment status), and was followed by several instruments assessing various psychological and health-related constructs. Inclusion criteria for the study were being at least 18 years of age and having a good understanding of French. Self-report data were collected from 725 participants aged 18 to 77 years (mean 33.29, SD 12.88 years), with females constituting the majority (416/725, 57.4%). RESULTS The results show that the COVID-19 pandemic affected various facets of cyberchondria: cyberchondria-related distress and interference with functioning increased (distress z=-3.651, P<.001; compulsion z=-5.697, P<.001), whereas the reassurance facet of cyberchondria decreased (z=-6.680, P<.001). Also, COVID-19-related fears and health anxiety emerged as the strongest predictors of cyberchondria-related distress and interference with functioning during the pandemic. CONCLUSIONS These findings provide evidence about the impact of the COVID-19 pandemic on cyberchondria and identify factors that should be considered in efforts to prevent and manage cyberchondria at times of public health crises. Also, they are consistent with the theoretical model of cyberchondria during the COVID-19 pandemic proposed by Starcevic and his colleagues in 2020. In addition, the findings have implications for the conceptualization and future assessment of cyberchondria

The psychological syndrome associated with Long-COVID: A study protocol

IntroductionChronic post-viral syndromes, including Long-COVID, are characterized by a range of persistent symptoms that occur following a viral infection. Psychological symptoms are prevalent in Long-COVID patients and can have a significant impact on their quality of life. However, the specific patterns of psychological symptoms, their associations with physical symptoms, and the factors predicting their severity remain poorly understood.AimsThis study aims to explore and systematically assess psychological symptoms in Long-COVID, to identify syndrome clusters based on these symptoms, to examine their relationship with physical symptoms, and to investigate the influence of pandemic-related variables.MethodsDescriptive, cross-sectional study with data collected through an online questionnaire across several EU countries, from February 2020 to December 2022. Participants were recruited using public relations, the social media and information campaigns directed at the public and health professionals using snowball sampling.ResultsThe findings will allow to phenotype Long-COVID related psychological symptom clusters based on self-reports. facilitating improved assessment and treatment approaches.ConclusionsThe results will provide important knowledge for the public health management of the public healh management of Long COVID. The findings will contribute to a better understanding of the psychological symptoms associated with Long-COVID and the development of specific treatment guidelines for psychological burden associated with Long-COVID, thereby supporting management strategies to combat the after-effects of the COVID-19 pandemic, enhancing their overall well-being and quality of life

Gaming passion and problematic gaming + MOGQ validation (Spanish version)

A description of the projec