Worldwide prevalence of obsessive-compulsive symptoms during the COVID-19 pandemic: A systematic review and meta-analysis.

During the COVID-19 pandemic governments worldwide implemented contagion-containing measures (i.e., physical distancing, hand sanitizing, mask wearing and quarantine). The similarities between these measures and obsessive-compulsive phenomenology (e.g., contamination concerns and repetitive washing and/or checking) led to inquiries about the frequency with which obsessive-compulsive symptoms (OCS) were encountered during the COVID-19 pandemic. We conducted a systematic review and meta-analysis to ascertain the prevalence of OCS in individuals of any age during the pandemic (i.e., any obsessive-compulsive symptoms that are clinically significant as shown by a score above the cut-off score of a scale, without necessarily fulfilling the diagnostic threshold for a diagnosis of OCD). A systematic search of relevant databases identified 35 studies, which were included in the systematic review following our inclusion and exclusion criteria. Most of the studies were conducted in adults from the general population and adopted an online assessment method, with 32 studies being eligible for meta-analysis. The meta-analysis resulted in a 20% average prevalence of OCS during the pandemic, with very high heterogeneity among the included studies (I2 99.6%). The highest prevalence of OCS was found in pregnant women (36%, n = 5), followed by individuals diagnosed with COVID-19 (22%, n = 4) and general population (22%, n = 19), undergraduates (21%, n = 5), and healthcare workers (5%, n = 5). The prevalence rates of OCS were higher in Asia (26%, n = 17) and North America (25%, n = 3) than in Europe (13%, n = 12) and Africa (7%, n = 4). Among the studies included, rates appeared higher in certain countries, though this difference did not reach statistical significance and was limited by very few studies conducted in certain countries. When compared to pre-pandemic rates, there seemed to be higher rates of OCS during the COVID-19 pandemic in Asia, Europe, and pregnant women. These findings are discussed considering the impact of the pandemic and contagion-containing measures on the perception and reporting of OCS, and susceptibility of the vulnerable population groups to experiencing OCS during the pandemic.

Further evidence for the bidimensionality of the components model of addiction: a reply to Amendola (2023).

In our original research article entitled "Deconstructing the components model of addiction: an illustration through "addictive" use of social media" (Fournier et al., 2023), we showed that the Bergen Social Media Addiction Scale, a six-item psychometric instrument derived from the components model of addiction to assess social media "addiction", did not form a unitary, but a bidimensional construct in which some components (i.e., salience, tolerance) were not associated with psychopathological symptoms, thus conflating central and peripheral features of addiction. Subsequently, in a recent commentary, Amendola (2023) sought to determine whether our findings were driven by the use of data aggregated from multiple independent datasets, i.e., a decision we transparently acknowledged as a limitation in our original research article. Following their re-analysis, Amendola (2023) claimed to have demonstrated that a unidimensional model best fitted the data. However, they only reported results for a partial set of models relevant to this investigation. In the present reply, through a transparent assessment and reporting of all unidimensional and bidimensional models relevant to this investigation, we show that the bidimensionality of the Bergen Social Media Addiction Scale is, in fact, tenable, robust, and consistent across multiple independent datasets. In line with the growing evidence demonstrating that many sets of criteria involved in operationalizing behavioral addictions pathologize involvement in appetitive behaviors, these results highlight the necessity to renew the conceptualization and assessment of behavioral addictions.

Problematic online behaviors and psychopathology in Australia.

This study aimed to ascertain frequency rates and predictors of six problematic online behaviors (POBs) in an Australian sample. Participants (N = 1626) completed instruments measuring problematic online gaming, cyberchondria, problematic cybersex, problematic online shopping, problematic use of social networking sites, problematic online gambling, anxiety, depression and attention deficit/hyperactivity disorder (ADHD). Each POB was presumed to be present based on the cut-off score on the corresponding instrument and at least one indicator of interference with functioning. Generalized linear model analyses were used to determine socio-demographic and psychopathological predictors of each POB. The most common POB was problematic online shopping (12.2%), followed by problematic online gambling (11.4%), problematic use of social networking sites (6.0%), problematic cybersex (5.3%), problematic online gaming (5.2%) and cyberchondria (4.6%). Age group 27-36 had the highest rates of POBs. The intensity of ADHD symptoms predicted all POBs, whereas younger age predicted all POBs except for problematic cybersex and online gambling. Female gender predicted lower scores on the measures of problematic online gaming and cybersex. These findings have implications for age- and gender-adapted education, prevention and treatment efforts and suggest that specific POBs should be investigated separately instead of lumping them together under the umbrella terms such as "Internet addiction".

Deconstructing the components model of addiction: an illustration through "addictive" use of social media.

The components model of addiction posits that all addictions share six components, namely salience, tolerance, mood modification, relapse, withdrawal, and conflict. This highly influential model has resulted in the development of numerous psychometric instruments that measure addictive behaviors according to these criteria. However, recent research suggests that, in the context of behavioral addictions, certain components constitute peripheral features that do not distinguish non-pathological from pathological behavior. Using "addictive" use of social media as a representative example, we examined this perspective by testing whether these six components actually assess central features of addiction, or whether some of them constitute peripheral features that are not indicative of a disorder. Four independent samples totaling 4,256 participants from the general population completed the Bergen Social Media Addiction Scale, a six-item psychometric instrument derived from the components model of addiction to assess social media "addiction". By performing structural equation modeling and network analyses, we showed that the six components did not form a unitary construct and, crucially, that some components (i.e., salience, tolerance) were not associated with measures assessing psychopathological symptoms. Taken together, these results suggest that psychometric instruments based on the components model conflate central and peripheral features of addiction when applied to behavioral addictions. This implies that such instruments pathologize involvement in appetitive behaviors. Our findings thus call for renewing the conceptualization and assessment of behavioral addictions.

Predictors of Cyberchondria During the COVID-19 Pandemic: 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 multidimensional 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 International Classification of Diseases 11th Revision or the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and its defining features, etiological mechanisms, and assessment continue to be debated. OBJECTIVE: This study aims to investigate changes in the severity of cyberchondria during the COVID-19 pandemic and identify the 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 study took place, French-speaking countries in Europe (France, Switzerland, Belgium, and Luxembourg) all implemented lockdown or semilockdown measures. The survey consisted of a questionnaire collecting demographic information (sex, age, education level, and country of residence) and information about socioeconomic circumstances during the first lockdown (eg, 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 18-77 (mean 33.29, SD 12.88) years, with females constituting the majority (416/725, 57.4%). RESULTS: The results showed that the COVID-19 pandemic affected various facets of cyberchondria: cyberchondria-related distress and compulsion 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). In addition, 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 of 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. In addition, they are consistent with a theoretical model of cyberchondria during the COVID-19 pandemic proposed in 2020. These findings have implications for the conceptualization and future assessment of cyberchondria.

Which is more stable and specific: DSM-5 internet gaming disorder or ICD-11 gaming disorder? A longitudinal study.

AIM: The high comorbidity rates of internet gaming disorder (IGD) and gaming disorder (GD) with other psychiatric disorders are concerning. A follow-up study of gamers from clinical and nonclinical samples with and without diagnoses of IGD or GD was conducted to investigate the changes in diagnoses over a 1-year period, compare their diagnostic stability, and examine the patterns of co-occurrence between IGD and GD with other psychiatric disorders over the same period. METHODS: Baseline and 1-year follow-up data of 279 participants, including 120 problematic gaming patients and 159 gamers from the general population, were analyzed. Information on demographics, gaming habits, and self-reported psychological status was collected. Additionally, a structured interview was conducted using the Gaming Diagnostic Interview and the Mini-International Neuropsychiatric Interview. RESULTS: Although there was no significant difference between the changes in IGD/GD diagnosis during the 1-year period, 34.7% of the participants had a change in IGD diagnosis, while the number of GD cases increased to 60.4%. When evaluating the fixed effects of comorbidity on IGD and GD, attention-deficit/hyperactivity disorder had the highest odds ratio for both IGD (75.23; 95% confidence interval [CI], 10.67-530.61) and GD (117.02 × 106 ; 95% CI, 2.23 × 106 -6132.64 × 106 ). CONCLUSION: These results reveal that a GD diagnosis might be more prone to change than an IGD diagnosis. GD was also found to be more affected by comorbid psychiatric disorders.

World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for treatment of anxiety, obsessive-compulsive and posttraumatic stress disorders - Version 3. Part I: Anxiety disorders.

AIM: This is the third version of the guideline of the World Federation of Societies of Biological Psychiatry (WFSBP) Task Force for the Pharmacological Treatment of Anxiety, Obsessive-Compulsive and Posttraumatic Stress Disorders (published in 2002, revised in 2008). METHOD: A consensus panel of 33 international experts representing 22 countries developed recommendations based on efficacy and acceptability of available treatments. In total, 1007 RCTs for the treatment of these disorders in adults, adolescents, and children with medications, psychotherapy and other non-pharmacological interventions were evaluated, applying the same rigorous methods that are standard for the assessment of medications. RESULT: This paper, Part I, contains recommendations for the treatment of panic disorder/agoraphobia (PDA), generalised anxiety disorder (GAD), social anxiety disorder (SAD), specific phobias, mixed anxiety disorders in children and adolescents, separation anxiety and selective mutism. Selective serotonin reuptake inhibitors (SSRI) and serotonin-norepinephrine reuptake inhibitors (SNRIs) are first-line medications. Cognitive behavioural therapy (CBT) is the first-line psychotherapy for anxiety disorders. The expert panel also made recommendations for patients not responding to standard treatments and recommendations against interventions with insufficient evidence. CONCLUSION: It is the goal of this initiative to provide treatment guidance for these disorders that has validity throughout the world.

World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for treatment of anxiety, obsessive-compulsive and posttraumatic stress disorders - Version 3. Part II: OCD and PTSD.

AIM: This is the third version of the guideline of the World Federation of Societies of Biological Psychiatry (WFSBP) Task Force for the Pharmacological Treatment of Anxiety, Obsessive-Compulsive and Posttraumatic Stress Disorders which was published in 2002 and revised in 2008. METHOD: A consensus panel of 34 international experts representing 22 countries developed recommendations based on efficacy and acceptability of the treatments. In this version, not only medications but also psychotherapies and other non-pharmacological interventions were evaluated, applying the same rigorous methods that are standard for the assessment of medication treatments. RESULT: The present paper (Part II) contains recommendations based on published randomised controlled trials (RCTs) for the treatment of OCD (n = 291) and PTSD (n = 234) in children, adolescents, and adults. The accompanying paper (Part I) contains the recommendations for the treatment of anxiety disorders.For OCD, first-line treatments are selective serotonin reuptake inhibitors (SSRIs) and cognitive behavioural therapy (CBT). Internet-CBT was also superior to active controls. Several second-line medications are available, including clomipramine. For treatment-resistant cases, several options are available, including augmentation of SSRI treatment with antipsychotics and other drugs.Other non-pharmacological treatments, including repetitive transcranial magnetic stimulation (rTMS), deep brain stimulation (DBS) and others were also evaluated.For PTSD, SSRIs and the SNRI venlafaxine are first-line treatments. CBT is the psychotherapy modality with the best body of evidence. For treatment-unresponsive patients, augmentation of SSRI treatment with antipsychotics may be an option. CONCLUSION: OCD and PTSD can be effectively treated with CBT and medications.

The Doctor Is In(ternet): The Mediating Role of Health Anxiety in the Relationship between Somatic Symptoms and Cyberchondria.

Cyberchondria is a dysfunctional behavioral pattern characterized by an excessive and anxiety-amplifying engagement in searching for reassuring health information on the Internet. Research demonstrated that somatic symptoms and health anxiety might foster maladaptive health-related behaviors, such as cyberchondria. However, the relationships between somatic symptoms, health anxiety, and cyberchondria have been scarcely examined. Accordingly, this study aimed to test the mediating effect of health anxiety on the association between somatic symptoms and cyberchondria. Four hundred and thirty-one adults from the community (158 males, 36.66%), aged between 18 and 74, were recruited via an online survey. Participants completed self-report measures of somatic symptoms, health anxiety, and cyberchondria. A mediation analysis demonstrated that the severity of somatic symptoms predicted increased levels of cyberchondria and that health anxiety partially mediated this association. Therefore, interventions aimed at decreasing health anxiety may also play a role in decreasing the risk of developing cyberchondria.

Testing the spectrum hypothesis of problematic online behaviors: A network analysis approach.

The validity of the constructs of problematic Internet or smartphone use and Internet or smartphone addiction has been extensively debated. The spectrum hypothesis posits that problematic online behaviors (POBs) may be conceptualized within a spectrum of related yet distinct entities. To date, the hypothesis has received preliminary support, and further robust empirical studies are still needed. The present study tested the spectrum hypothesis of POBs in an Australian community sample (n = 1,617) using a network analysis approach. Psychometrically validated self-report instruments were used to assess six types of POBs: problematic online gaming, cyberchondria, problematic cybersex, problematic online shopping, problematic use of social networking sites, and problematic online gambling. A tetrachoric correlation matrix was computed to explore relationships between online activities and a network analysis was used to analyze relationships between POBs. Correlations between online activities were positive and significant, but of small magnitude (0.051 ≤ r ≤ 0.236). The community detection analysis identified six distinct communities, corresponding to each POB, with strong relationships between items within each POB and weaker relationships between POBs. These findings provide further empirical support for the spectrum hypothesis, suggesting that POBs occur as distinct entities and with little overlap.

The psychometric properties of the Nepean Belief Scale as a tool for assessing delusions in schizophrenia and related psychotic disorders.

OBJECTIVES: To examine the psychometric characteristics of the Nepean Belief Scale (NBS) in psychiatric inpatients with delusions. The NBS is a five-item, clinician-administered scale that assesses the characteristics of beliefs, i.e. conviction, fixity, fluctuation, resistance and awareness that the belief is unreasonable. METHODS: Fifty-five patients were interviewed by two clinicians, within three days of admission to an acute psychiatric unit and were assessed using the NBS, the Brown Assessment of Belief Scale (BABS), the MINI International Neuropsychiatric Interview (MINI) and the Depression Anxiety Stress Scale 21-Item Version (DASS-21). The NBS was administered after two weeks to available participants, to assess test-retest reliability. RESULTS: Results demonstrated excellent inter-rater reliability of 0.93, Cronbach's alpha coefficient for internal consistency was 0.77. The NBS was found to have good convergent validity with the BABS and good discriminant validity with the DASS. Two-week test-retest reliability suggests that the NBS is sensitive to therapeutic change. CONCLUSIONS: Advantages of the NBS include its brevity, its ability to assess belief-related insight, its clear instructions and its definitions of belief characteristics. Thus, the NBS has the potential to greatly improve our ability to more objectively assess delusional beliefs.

A trauma model of substance use: Elaboration and preliminary validation.

The current study expands on and integrates previous theoretical models concerning the pathways that link child maltreatment to substance use disorder. The proposed model, based on the self-medication hypothesis, suggests that experiences of neglect and abuse during childhood can lead to substance use and abuse both directly and indirectly, via dissociation resulting from failed attempts to integrate experiences of maltreatment in childhood. The model was tested on ten substances (painkillers, stimulants, sedatives, marijuana, cocaine, ecstasy, hallucinogens, heroin, inhalants, and methamphetamine) via structural equation modeling (SEM) in a sample comprising 1040 community-dwelling adults (67 % women) aged between 18 and 78 (M = 29.55, SD = 11.37). Fit indexes of the SEM were good, thus supporting the hypothesized model. Specific forms of child maltreatment were related to increased use of specific substances; however, experience of childhood neglect (both physical and emotional) was found to have a central role in predicting use of most substances. Although no single pathway can fully explain the origins of substance abuse, the current study provides evidence of a critical developmental pathway to it, with implications for theory and clinical practice.

Gaming disorder and the COVID-19 pandemic: Treatment demand and service delivery challenges.

Gaming activities have conferred numerous benefits during the COVID-19 pandemic. However, some individuals may be at greater risk of problem gaming due to disruption to adaptive routines, increased anxiety and/or depression, and social isolation. This paper presents a summary of 2019-2021 service data from specialist addiction centers in Germany, Switzerland, Japan, and the United Kingdom. Treatment demand for gaming disorder has exceeded service capacity during the pandemic, with significant service access issues. These data highlight the need for adaptability of gaming disorder services and greater resources and funding to respond effectively in future public health crises.

Validation of self-report measures of narcissism against a diagnostic interview.

The Pathological Narcissism Inventory (PNI) and the Narcissistic Personality Inventory (NPI) are often used to screen for pathological narcissism but have rarely been validated against a clinician-administered diagnostic interview. Our study evaluated the convergent validity of the PNI and NPI against a diagnostic interview for narcissistic personality disorder (NPD) in a clinical population. We used data from a psychiatric outpatient center located in Switzerland (n = 123). Correlations between PNI/NPI and NPD ranged between .299 and .498 (common variance 9.0-24.8%). The PNI and NPI should be used carefully to screen for NPD. We highlight a need to increase the compatibility between the conceptual underpinnings of the PNI, NPI and NPD.

Personality dimensions and disorders and coping with the COVID-19 pandemic.

PURPOSE OF REVIEW: The COVID-19 pandemic has tested people's coping and resilience. This article reviews research and scholarly work aiming to shed more light on personality-based factors that account for adjustment to the pandemic situation. RECENT FINDINGS: Most studies relied on a cross-sectional design and were conducted using personality dimensions based on the Big Five personality model. Findings suggest that high levels of neuroticism constitute a risk for pandemic-induced distress and poor overall coping. People with prominent extraversion, conscientiousness or agreeableness have generally demonstrated a good adjustment to the pandemic, including compliance with containment and mitigation measures imposed by the authorities to limit the spread of COVID-19. A few studies of individuals with borderline personality disorder identified social isolation as the most destabilising factor for them. Poor compliance with containment and mitigation measures has been strongly associated with various antisocial personality traits. SUMMARY: Personality-based factors account for some individual differences in coping with both COVID-19-related threat and distress and requirements to comply with containment and mitigation measures. Better understanding of these factors could contribute to a more effective adjustment to the challenges of future public health crises.