Obsessive-Compulsive Inventory-Revised Research Articles

Prevalence of misophonia and its association with depression and obsessive-compulsive disorder among medical students.

Misophonia, a neurobehavioral syndrome, reduces tolerance to specific stimuli and impacts various domains of life. It is also strongly correlated with obsessive-compulsive disorder (OCD) and depression. This study aimed to investigate the prevalence of misophonia among medical students at King Saud University (KSU), Saudi Arabia, identify related sociodemographic factors, and assess misophonia association with OCD and depression. This cross-sectional study included 371 participants. The study tool was distributed electronically between November 19 and December 07, 2023. It consisted of 4 sections: a questionnaire developed by the research team, the Amsterdam Misophonia Scale (A-MISO-S), the Obsessive-Compulsive Inventory-Revised (OCI-R), and the Patient Health Questionnaire-9 (PHQ-9). The results indicated that 42.32% of the participants had previously experienced misophonia, with symptoms developing suddenly in 28.66%. The majority of participants had subclinical misophonia (71.16%) and minimal depression (37.47%), with a significant proportion experiencing mild-to-severe misophonia (28.84%) and varying degrees of depression (33.15%). Approximately 31.00% of the students exhibited likely OCD. The PHQ-9 and A-MISO-S scores showed weak positive correlations, whereas the OCI-R and A-MISO-S scores showed a moderate positive correlation. Furthermore, a moderate positive correlation was observed between the OCI-R and PHQ-9 scores. Multiple logistic regression analysis revealed that sex, family history of misophonia, depression severity, and OCD were significantly associated with clinical misophonia. This study underscores the significance of recognizing misophonia among medical students and its associated factors, such as OCD and depression. Further multicenter studies using more rigorous research methodologies are warranted.

The inflexible mind: A critical factor in understanding and addressing COVID-19 vaccine hesitancy

BackgroundVaccine hesitancy has gained heightened relevance amid the COVID-19 pandemic, underscoring the urgency of understanding its determinants. This study explores the association between Covid-19 vaccine hesitancy, mental health variables and inflexible thinking. MethodsA convenience sample of 252 UK adults was assessed online between June 2021–July 2022 (when Covid-19 lockdown restrictions had finally eased). We assessed participants using the Oxford Covid Vaccine Hesitancy Scale (OCVHS), various aspects of mental health, using: the Obsessive-Compulsive Inventory-Revised (OCI-R), Compulsive Personality Assessment Scale (CPAS), Depression, Anxiety, and Stress scale (DASS-21), and finally, performance on a computerized version of the Wisconsin Card Sort Task (WCST). This study was preregistered at the Open Science Framework (https://osf.io/xd5wz). ResultsMultiple regression analyses showed that only cognitive inflexibility, and specifically the WCST item of perseverative errors, significantly predicted vaccine hesitancy. ConclusionOur exploratory analysis provides the first evidence that cognitive inflexibility, measured using an objective task, is an independent risk-factor for vaccine hesitancy. Public health strategies should consider the impact of an inflexible thinking style on the decision-making of those most at risk of vaccine hesitancy and adapt interventions accordingly.

Structure, network analysis, psychometric properties and clinical utility of the self-absorption scale in China

BackgroundSelf-absorption refers an excessive, persistent, and rigid preoccupation with information regarding the self. This study aims to introduce the Self-Absorption Scale (SAS) into China with an assessment of its latent variable structure, network structure, psychometric properties, and clinical utility in a nonclinical Chinese sample.Methods209 participants completed the translated SAS as well as the Short General Health Questionnaire (GHQ-12), rumination subscale of the Rumination-Reflection Questionnaire (RRQ), the Mindful Attention Awareness Scale (MAAS), the Private Self-Consciousness Scale (PrSCS), the Obsessive-Compulsive Inventory-Revised (OCI-R) and the Dissociative Experiences Scale (DES-II). In addition, 30 respondents completed the Chinese version of the SAS and retested it 2 weeks later.ResultsThe Chinese version of the SAS (CH-SAS) had a desirable two-correlated-factor structure with the reverse scored item removed, which was invariant across different genders. The core items in the network structure of the CH-SAS were related to excessive self-immersion, uncontrollability and anxiety aspects of self-absorption. The Cronbach’s alpha coefficient for the CH-SAS was 0.903 while the McDonald’s omega coefficient was 0.916 and the test-retest reliability was 0.908. The CH-SAS and its two subscales had moderate positive correlations with the rumination subscale of the RRQ (ranging from 0.474 to 0.616; p < .001) and the GHQ-12 (ranging from 0.479 to 0.538; p < .001), and moderate negative correlations with the MAAS (ranging from − 0.413 to − 0.360; p < .001). The PrSCS has almost no correlation with the CH-SAS and PrSAS (p > .05), and its correlation with the PubSAS was significant at the 0.05 level, with a remarkably low correlation coefficient (r = .157). The hierarchical regression analysis suggested that the CH-SAS can significantly predict the severity of OCD beyond factors such as depression, anxiety, rumination, dissociation, and mindful attention awareness.ConclusionsThe CH-SAS demonstrates excellent reliability, including internal consistency and test-retest reliability. Additionally, it exhibits favorable structural validity, as well as strong evidence of convergent and divergent validity. Furthermore, the self-absorption measured using the CH-SAS contributed significantly to the prediction of OCD beyond other relevant psychological factors, suggesting its clinical utility.

Exposure therapy tailored to inhibitory learning principles in a naturalistic setting: an open pilot trial in obsessive-compulsive outpatient care.

Inhibitory learning (IL) theory offers promising therapeutic strategies. However, more evidence is needed, especially regarding OCD treatment in routine care. The present pilot study investigated the positive and negative effects of IL-focused cognitive-behavioral therapy (CBT) in a university outpatient setting. A total of N = 21 patients (57.14% male, mean age 31.14, SD = 12.39 years) passed through manualized therapy delivered by licensed psychotherapists. Between the first and 20th IL-focused CBT session, obsessive-compulsive symptoms (Obsessive Compulsive Inventory-Revised, d = 3.71), obsessive beliefs (Obsessive-Beliefs Questionnaire, d = 1.17), depressive symptoms (Beck Depression Inventory, d = 3.49), and overall psychological distress (Global Severity Index, d = 3.40) decreased significantly (all ps < 0.01). However, individual patients reported some negative effects of therapy. The results underline the value of thorough investigations of novel therapeutic interventions in naturalistic settings.

Sensory over-responsivity and orbitofrontal cortex connectivity in obsessive-compulsive disorder

BackgroundSensory over-responsivity (SOR) in obsessive-compulsive disorder (OCD) is associated with illness severity and functional impairment. However, the neural substrates of SOR in OCD have not yet been directly probed. MethodsWe examined resting-state global functional connectivity markers of SOR in 119 adults with OCD utilizing the CONN-fMRI Functional Connectivity Toolbox for SPM (v21a). We quantified SOR with the sensory sensitivity and sensory avoiding subscales of the Adult and Adolescent Sensory Profile (AASP). We also measured: OCD severity, with the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) and Obsessive-Compulsive Inventory-Revised (OCI-R); sensory phenomena with the Sensory Phenomena Scale (SPS); general anxiety, with the Beck Anxiety Inventory (BAI); and depressive symptomatology, with Quick Inventory of Depressive Symptoms, Self-Report (QIDS-SR). ResultsThere was a significant positive relationship of SOR with global connectivity in anterior and medial OFC (Brodmann's area 11, k = 154, x = 14, y = 62, z = −18, whole-brain corrected at FWE p < 0.05). LimitationsFuture investigations should explore neural responses to sensory stimulation tasks in OCD and compare findings with those obtained in other conditions also characterized by high SOR, such as autism spectrum disorder. ConclusionsThis study implicates OFC functional connectivity as a neurobiological mechanism of SOR in OCD and suggests that the substrates of SOR in OCD may be dissociable from both that of other symptoms in OCD, and SOR in other disorders. With replication and extension, the finding may be leveraged to develop and refine treatments for OCD and investigate the pathophysiology of SOR in other conditions.

Adult attachment and OCD symptoms: the mediating role of intolerance of uncertainty and beliefs about losing control

ABSTRACT Objectives Attachment orientation has been argued to play a role in the development and maintenance of obsessive-compulsive disorder (OCD) symptoms, but this relationship has yet to be fully understood. Attachment orientation may also contribute to appraisals of uncertainty such as threatening and negative beliefs about the consequences of loss of control, constructs which may also be associated with OCD. The present study aimed to investigate whether intolerance of uncertainty (IU) and negative beliefs about losing control (BALC) mediate the relationship between attachment and OCD symptoms. Method Two hundred and five participants were recruited from the general community to undertake a cross-sectional online survey which included the Experiences in Close Relationships Scale-Revised, the Intolerance of Uncertainty Scale – 12 item, the Beliefs About Losing Control Inventory, and the Obsessive-Compulsive Inventory-Revised. Results Attachment anxiety, attachment avoidance, IU, and BALC were positively correlated with OCD symptoms. Both attachment dimensions were associated with IU and BALC. IU and BALC were found to be serial multiple mediators in the relationship between both attachment dimensions and OCD symptoms, though only the relationship between attachment anxiety and OCD remained significant when controlling for the corresponding attachment dimension. Conclusion The results suggest that IU and BALC may play a key role in the relationship between attachment and OCD symptoms.

Impact of COVID-19 on the Self-Report Assessment of Obsessive-Compulsive Disorder.

Background The COVID-19 pandemic and subsequent guidelines have had a substantial effect on social norms. This likely affected self-report assessment of psychopathology, namely those that assess obsessive-compulsive tendencies routinely used to screen for obsessive-compulsive disorder (OCD). It was hypothesized that self-report assessment of OCD likely produces inflated, non-discriminating scale scores. Methods Data collection occurred prior to the COVID-19 pandemic with the aim of validating a new psychological test; however, data collection was abruptly halted in March 2020. Data collection was allowed to resume in the latter half of the year. Both groups were racio-ethnically and gender diverse. Results Self-report measures of OCD yielded inflated scores. For instance, the total obsessive-compulsive inventory-revised (OCI-R) average score of all participants went from normative levels prior to COVID-19 (M = 13.69, SD = 10.32) to an average score that was above the clinical cut-off on the OCI-R (M = 32.89; SD = 12.95) during the pandemic (t(135) = 9.66, p < 0.001, Cohen's d = 1.66). Conclusions OCD-related scale scores likely produced false positives in research and practice due to COVID-19 health guidelines put in place to protect against infection that may otherwise be considered contamination fears on OCD measures.

Beyond the surface: Understanding obsessive symptoms and body perceptions, from shape concerns to fear of blushing

IntroductionRecent reclassifications have expanded the understanding of Obsessive-Compulsive Disorders (OCDs), now incorporated into a broader category known as Obsessive-Compulsive Disorder and Related Disorders (OCRDs). This study sought to assess obsessive-compulsive symptoms and body uneasiness among outpatients seeking treatment for Eating Disorders (ED). Additionally, we aimed to explore associations and potential mediation effects between obsessive-compulsive symptoms and body uneasiness. This investigation extended beyond concerns related solely to body shape and weight, encompassing fears associated with specific body components (such as facial features, abdominal region, and limbs) or functions (including sweating, blushing, emitting noises, and releasing odors). MethodsPsychometric assessments included the Obsessive-Compulsive Inventory-Revised (OCI-R) and the Body Uneasiness Test (BUT). Statistical analyses involved bivariate correlations, linear regression, and mediation analysis to explore the associations and potential mediation effects between obsessive-compulsive symptoms and different manifestations of body uneasiness. ResultsThe sample (N = 210) demonstrated substantial obsessive-compulsive symptoms and notable body discomfort. OCI-R scores positively correlated with various dimensions of body dissatisfaction, including shape, weight, and specific body components or functions. Linear regression revealed significant associations between OCI-R scores and overall body uneasiness (BUT-A) as well as concerns about body components or functions (BUTB). Mediation analysis indicated that BUT-A mediated the relationship between obsessive-compulsive symptoms and BUTB. ConclusionThis study offers new insights into the comprehensive landscape of OCRDs. It specifically emphasizes the association between obsessive-compulsive symptoms and body uneasiness, embracing not only concerns about body shape and weight but also extending to body components and functions.

Investigating the Prevalence of COVID-19-Related Sleep Disorders Among Individuals Recovering from COVID-19: A Cross-Sectional Analytical Study

Background: Sleep disorders, as psychological manifestations of COVID-19, have been correlated with a decreased quality of all aspects of individuals' well-being, even after COVID-19 recovery. Objectives: Due to the persistence of sleep disorders even after the recovery from COVID-19, along with their significant consequences on the quality of life of individuals suffering from these disorders, this study was conducted to determine the prevalence and predictive power of sleep disorders and their correlation with socio-demographic and health disparities among COVID-19 recovered individuals in Iran. Methods: In this cross-sectional analytical investigation, a total of 300 individuals participated from 3 hospitals in different regions of Tehran. Participants were selected based on inclusion criteria and simple random sampling. They were then evaluated using the "Questionnaire of Clinical and Demographic Information" and the "Pittsburgh Sleep Quality Index (PSQI)." Additionally, the "Depression, Anxiety and Stress Scale 21 (DASS21)," "The Obsessive-Compulsive Inventory-Revised (OCI-R)," and "Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5)" were used to assess other related disorders in the prevalence and predictive power of sleep disorders among the participants. Statistical tests, including the analysis of variance (ANOVA), chi-square, and Bayesian linear regression, were implemented using SPSS v. 26 to analyze the obtained data. Results: Among the total of 300 participants, 198 individuals (66%) demonstrated sleep disorders. The majority were female (54.54%), married (88.38%), employed (56.56%), from Tehran (96.96%), and covered by hospital C (36.86%). Ultimately, depression (BF = 0.01 and P-value = 0.0001), anxiety (BF = 0.02 and P-value = 0.0001), obsessive-compulsive disorder (OCD) (BF = 0.02 and P-value = 0.001), and post-traumatic stress disorder (PTSD) (BF = 0.0001 and P-value = 0.001) were the most powerful predictors of the presence of sleep disorders among individuals recovered from COVID-19. Conclusions: COVID-19-related sleep disorders were found in more than half of the COVID-19-recovered individuals, with mild severity. Furthermore, the reported prevalence, severity, and significance varied among the participants in accordance with sociodemographic and health disparities.

Evaluation of obsessive-compulsive disorder prevalence in Iranian patients with multiple sclerosis and its relationship with demographic characteristics.

Background: The present study examined the prevalence of obsessive-compulsive disorder (OCD) among Iranian patients with multiple sclerosis (MS) and the relationship between OCD and the patient's demographic characteristics. Methods: The present study used a cluster sampling method to randomly select 297 patients with MS from the patients referred to the MS Clinic and Research Center of Sina University Hospital, Tehran, Iran, during 2018-2019. To gather the required data, a questionnaire consisting of demographic characteristics and disease information sections was used. Moreover, Yale-Brown Obsessive Compulsive Scale (Y-BOCS), Obsessive-Compulsive Inventory-Revised (OCI-R), and Hospital Anxiety and Depression Scale (HADS) were employed in the present study. The comparison of qualitative and quantitative values between OCD-positive and negative groups was examined with chi-square test and independent samples t-test, respectively. Binary logistic regression was used as multivariate modeling to adjust the effects of potential confounders that could distort the relation of OCD with intended variables. Data were analyzed using SPSS software. The significance level was considered lower than 0.05. Results: Of the total of 297 patients, 77.8% were women. Moreover, analysis of the data obtained from the HADS questionnaire revealed that 11.44% (n = 34) and 15.15% (n = 45) of patients had severe depression and severe anxiety, respectively. The results of Y-BOCS indicated that the prevalence of severe OCD among patients was 19.9%. The OCI-R questionnaire revealed that the prevalence of OCD was 47.8%, which was consistent with the total of moderate, severe, and extreme values of Y-BOCS (47.9%). Furthermore, the subscales of ordering-arranging with 69 patients (22.9%) and obsessing with 46 patients (15.5%) indicated the highest frequencies as compared to other subscales. Moreover, OCD had a significant relationship with depression, anxiety, and type of MS in this regard. Conclusion: In this study, the prevalence rate of OCD among patients with MS was higher than its rate among the general population.

Self-Compassion and Obsessive–Compulsive Symptoms in a Non-Clinical Sample: Insights from Network Analysis and Canonical Correlation Analysis

ObjectivesThe goal of the present study was to investigate the hypothesized complex interactions between dimensions of self-compassion and obsessive-compulsive symptoms (OCD) in a non-clinical sample.MethodFour hundred and twenty-four individuals (273 women) ranging in age from 18 to 83 years (M = 41.00; SD = 14.50) participated in the cross-sectional survey. The participants completed the Self-Compassion Scale (SCS) and the Obsessive-Compulsive Inventory—Revised (OCI-R). ResultsCertain dimensions of self-compassion were found to be associated with specific OCD symptoms, with positive dimensions (except Common humanity) correlating with reduced Obsessing, Hoarding, and Ordering, and negative dimensions correlating with all OCD symptoms. Canonical correlation analysis indicated three significant linkages: (1) between Isolation, Over-identification, and Obsessing, (2) between Self-judgment, Over-identification, Ordering, and Checking, and (3) between Self-judgment and Neutralizing. Exploratory graph analysis challenged the structure of the SCS and the OCI-R, suggesting two dimensions of self-compassion, compassionate self-reference and uncompassionate self-reference; and two dimensions of OCD, obsessing and other OCD symptoms. The Obsessing subscale appeared as a bridge between uncompassionate self-reference and OCD symptoms. Compassionate self-reference was negatively correlated with uncompassionate self-reference and obsessing, whereas uncompassionate self-reference was positively correlated with obsessing and OCD symptoms.ConclusionsInvestigation of the associations between self-compassion and psychopathology should avoid aggregating the uncompassionate and compassionate dimensions of self-compassion. The significant associations in the network of self-compassion and OCD symptoms were between uncompassionate self-reference, obsessing, and OCD symptoms.PreregistrationThis study is not pre-registered.

Evaluation of the Prevalence and Predictive Factors of Post-COVID Cognitive Disorders Among Iranian COVID-19 Recuperated Individuals: A Bayesian Analysis

Background: Coronavirus disease 2019 (COVID-19), as a global crisis, has impacted all aspects of human life, even long after its universal containment. Among these impacts, COVID-related cognitive disorders (CDs) are significant, particularly when they persist over the long term. Cognitive disorders are characterized by the brain’s inability to process, store, and utilize information for reasoning, judgment, perception, attention, comprehension, and memory. Objectives: Given the persistence of COVID-related CDs even long after recovery, this study aimed to determine the prevalence and predictive factors of CDs among individuals who had recovered from COVID-19 in Iran, using Bayesian analysis. Methods: In this regional cross-sectional analytical study, 300 individuals were randomly selected from three hospitals in Tehran, Iran. The subjects were evaluated using the Clinical Demographic Information Questionnaire, Montreal Cognitive Assessment (MoCA), the Pittsburgh Sleep Quality Index (PSQI), the Obsessive-Compulsive Inventory-Revised (OCI-R), the Depression, Anxiety, and Stress Scale 21 (DASS-21), and the Posttraumatic Stress Disorder (PTSD) Checklist for DSM-5 (PCL-5). The obtained data were analyzed using SPSS software (version 26) to determine the prevalence of CDs, identify predictive factors, and examine the interrelationship between CDs and other COVID-related disorders. Results: Among the 300 participants, only 81 individuals (27%) exhibited CDs. The majority of the aforementioned subjects were patients at hospital A (46.91%), and their recovery occurred between 12-18 months ago (39.51%). Among these variables, only the difference in the hospital variable was statistically significant (P = 0.001). Furthermore, there were correlations between CDs and obsessive-compulsive disorder (OCD), anxiety, and stress, although they were not statistically significant. Ultimately, PTSD (BF = 0.58, P = 0.02), older age (BF = 0.0001, P = 0.0001), hospitalization at hospital A (BF = 0.35, P = 0.001), lower arterial oxygen saturation (SaO2) (BF = 0.01, P = 0.0001), and longer hospitalization (BF = 0.001, P = 0.0001) were identified as the most robust predictors for the presence of CDs among individuals recovering from COVID-19. Conclusions: In conclusion, CDs were observed in less than half (27%) of individuals who had recovered from COVID-19. Sociodemographic and health disparities contributed to variations in the prevalence, severity, and significance of these disorders.

Compulsivity and Inhibitory Control Deficits in Abstinent Individuals With Heroin Addiction and Their Biological Siblings Compared With Unrelated Healthy Control Participants

BackgroundCompulsivity represents the performance of persistent and repetitive acts despite negative consequences and is considered one of the critical mechanisms for drug addiction. Although compulsivity-related neurocognitive impairments have been linked to addiction, it remains unclear whether these deficits might have predated drug abuse as potential familial susceptibilities. MethodsA large sample of 213 adult participants were recruited, including 70 abstinent individuals addicted to heroin (HAs), 69 unaffected biological siblings of the HAs (siblings), and 74 unrelated healthy control participants. Compulsivity-related neurocognitive functions were evaluated using the intradimensional/extradimensional set-shift task and a probabilistic reversal learning task. Compulsive traits were measured by the Obsessive-Compulsive Inventory-Revised. Inhibitory control was assessed using the stop signal task and Stroop Color and Word Test. Network models for group recognition were conducted using multilayer perceptron neural networks. ResultsData indicated that both HAs and siblings performed worse than healthy control participants on compulsivity-related aspects (i.e., shifting and reversal learning functions) and inhibitory control and had higher levels of self-reported compulsive traits. Furthermore, neural models revealed that a possible 3-facet clustering of neurocognitive deficits was linked to both HAs and siblings. ConclusionsOur findings suggest that deficits in shift reversal and inhibitory control aspects and elevated compulsive traits, shared by HAs and their unaffected siblings, may putatively represent conceivable markers associated with familial vulnerabilities implicated in the development of heroin dependence.

Two Years after the Beginning of COVID-19: Comparing Families Who Had or Did not Have Patients with COVID-19 on Health Beliefs and Obsessive-Compulsive Symptoms.

Objective: This study aimed to compare health beliefs and obsessive-compulsive symptoms (OCS) in families with (FIM+) or without an infected member (FIM-) two years after the beginning of COVID-19. Additionally, this research intended to predict a decrease in OCS from baseline (T1) to 40 days later (T2) based on health beliefs. Method : In a longitudinal survey, 227 participants in two groups, including FIM+ (n = 98; M = 30.44; SD = 5.39) and FIM- (n = 129; M = 29.24; SD = 4.93), were selected through purposive sampling. They responded to measurements consisting of demographic characteristics, the Obsessive-Compulsive Inventory-Revised (OCI-R), Patient Health Questionnaire (PHQ-9), Impact of Event Scale-Revised (IES-R), and COVID-19 Health Belief Questionnaire (COVID-19-HBQ) at the final assessment phase (T2). To investigate differences between the two groups and predict OCS changes from T1 to T2, data were analyzed using Chi-squared, t-tests, U-Mann-Whitney, Kruskal-Wallis, Pearson correlations, and linear regression analyses. Results: At T1, FIM+ demonstrated significantly greater OCS, health beliefs, posttraumatic stress symptoms (PTS), and depressive symptoms than FIM-. Furthermore, FIM+ showed a decrease in OCS from T1 to T2 after its infected member recovered from COVID-19 (P < 0.001). A decrease in OCS was correlated with a decrease in perceived susceptibility, severity, and barriers. Lack of a vulnerable family member, lower educational attainment, and being a primary caregiver were associated with a greater decrease in OCS. Changes in perceived severity and self-efficacy accounted for 17% of variation in OCS. Conclusion: Even two years after the onset of the pandemic, COVID-19 not only impacts the life of patients with COVID-19 but family members who care for such patients respond to the disease by engaging in excessive health behaviors in the form of OCS.

Exploring the structure of the university-students obsessive–compulsive tendency scale in Iranian university students: a network analysis study

IntroductionA risk factor for developing obsessive–compulsive disorder (OCD) in non-clinical samples is obsessive–compulsive tendencies (OCT). An OCT scale has recently been developed for university students (UOC) and showed promising psychometric properties. However, no validated Persian language scale evaluates OCT in non-clinical samples. Accordingly, this study aimed to validate the Persian version of the UOC in Iranian university students.MethodsThree hundred sixty-eight university students (54.6% females, mean ages: 22.4 ± 4.51) entered the study. The Persian version of UOC was evaluated concerning the structure of Exploratory Factor Analysis (EFA), Confirmatory factor analysis (CFA), and Exploratory graph analysis (EGA). Regarding the construct validity, the concurrent validity was assessed between the UOC and The Obsessive–Compulsive Inventory-Revised (OCI-R), Kessler Psychological Distress Scale (K10), and Yale-Brown Obsessive–Compulsive Scale (Y-BOCS). We calculated Cronbach’s alpha to evaluate the reliability of the UOC. All statistical calculations were done in R programming language (in R-Studio Desktop version 4.2.1).ResultsThe Persian version of UOC showed a convenient internal consistency with Cronbach’s alpha coefficient for the total scale 0.88. UOC scores were significantly correlated with OCI-R, K-10, and YBOCS. The EFA and EGA showed four and three-factor solutions with 25 and 28 items, respectively. Also, CFA showed that these two solutions were reliable, and the three-factors solution showed higher fit indexes. Finally, the results showed that item-27 was the most central item in the UOC network structure.ConclusionThe findings from the present study indicated that the Persian version of UOC has acceptable psychometric properties. So, this scale can be used for examining obsessive–compulsive tendencies in Iranian university students.

Prevalence of obsessive-compulsive symptoms and their psychosocial correlates among medical students during COVID-19 pandemic.

This study aimed to assess the prevalence of obsessive-compulsive symptoms (OCS) among medical students during COVID-19 pandemic and to evaluate their association with related sociodemographic features and other psychological symptoms. In this cross-sectional study, students from Mashhad University of Medical Sciences with no major exam in the preceding or following month were surveyed during April to August 2021 through stratified available sampling. Data were collected by a structured online questionnaire distributed through social media platforms. OCS were assessed using Obsessive-Compulsive Inventory-Revised (OCI-R) and COVID-related stress was evaluated using COVID Stress Scale (CSS). Overall, 347 students with a mean age of 22.67 ± 2.56 years were included in this study, of whom 30.3% had probable obsessive-compulsive disorder (OCD; OCI-R score ≥21). Mean CSS scores in students with and without probable OCD were 38.64 ± 19.82 and 26.72 ± 16.63, respectively ( P < 0.005). Total CSS score was significantly correlated with OCI-R score ( r = 0.38, P = 0.001). Around one-third of the medical students reported significant OCS during COVID-19 pandemic, which was associated with higher COVID-19-related stress. Further research provides insight into management of OCD and related disorders during the COVID-19 pandemic.

Obsessive-Compulsive Symptom Dimensions and Their Relationships with Obsessive Beliefs: A Structural Equation Modeling Analysis.

Dysfunctional beliefs are central in the development and maintenance of obsessive-compulsive disorder (OCD) as well as its treatment. Yet, research suggests that not all dysfunctional beliefs are equally important for each of the symptom dimensions of OCD. However, results are inconsistent in that studies contradict each other regarding the associations between specific symptom dimensions and belief domains. The aim of the present study was to clarify which belief domain is specifically associated with which OCD symptom dimension. Results could help to tailor treatments more specifically to the patient's OCD symptom dimension. In- and outpatients with OCD (N = 328; 43.6% male and 56.4% female) filled out questionnaires on symptom dimensions of OCD (Obsessive-Compulsive Inventory Revised) and dysfunctional beliefs (Obsessive Beliefs Questionnaire). A structural equation model analysis was conducted to identify the associations between dysfunctional beliefs and symptom dimensions. Our results showed that perfectionism/intolerance of uncertainty was associated with hoarding and symmetry/ordering, (2) overestimation of threat/inflated responsibility was associated with checking compulsions, and (3) importance of thoughts/control of thoughts was associated with obsessing. These results were largely supported by a backward selection. Our results demonstrated associations of specific dysfunctional beliefs and specific OCD symptom dimensions. However, future studies are necessary to replicate these findings with other measures (e.g., clinician ratings).

The impact of childhood trauma on perceived stress and personality in patients with obsessive-compulsive disorder: A cross-sectional network analysis

ObjectiveLittle is known about the role of childhood experiences in the development of obsessive-compulsive disorder (OCD). However, the influence of childhood experiences on personality, behavior, and perceived stress may vary between OCD patients and healthy individuals. The objective of this study was to use network analysis to explore the relationship between childhood trauma, personality, perceived stress, and symptom dimensions, thus finding the difference between patients' and healthy people's network. Methods488 patients with OCD and 210 healthy volunteers were recruited. All of them were assessed with the Obsessive-Compulsive Inventory - Revised (OCI-R), the Perceived Stress Scale-10, the NEO Five-Factor Inventory and the Early Trauma Inventory Self-Report Short Form. Network analysis was conducted and the centrality indices were calculated. Network comparison test was performed. ResultsIn patients' network, the Obsession and the Ordering behavior were the most important nodes among the OCI-R. The perceived stress showed the strongest strength centrality of all nodes and positive correlation with the Obsession and Neuroticism. Network comparison test results indicated a statistically significant difference between network structure, and post-hoc analysis found five edges significantly differed between patients and healthy controls, mainly on Obsession and Washing behaviors. ConclusionsEmotional abuse was considered significant in both networks due to its higher strength centrality. Meanwhile, perceived stress was found to be more significant in the patient network and exhibited stronger associations with obsession. The obsessive thoughts and washing behavior were different among patients and healthy controls, which brought new understanding to the pathopsychological mechanisms of OCD.

Eating disorder symptoms and control-seeking behavior.

Eating disorders (EDs) are a heterogenous group of disorders characterized by disturbed eating patterns. Links have been made between ED symptoms and control-seeking behaviors, which may cause relief from distress. However, whether direct behavioral measures of control-seeking behavior correlate with ED symptoms has not been directly tested. Additionally, existing paradigms may conflate control-seeking behavior with uncertainty-reducing behavior. A general population sample of 183 participants completed part in an online behavioral task, in which participants rolled a die in order to obtain/avoid a set of numbers. Prior to each roll, participants could choose to change arbitrary features of the task (such as the color of their die) or view additional information (such as the current trial number). Selecting these Control Options could cost participants points or not (Cost/No-Cost conditions). Each participant completed all four conditions, each with 15 trials, followed by a series of questionnaires, including the Eating Attitudes Test-26 (EAT-26), the Intolerance of Uncertainty Scale, and the Obsessive-Compulsive Inventory-Revised (OCI-R). A Spearman's rank test indicated no significant correlation between total EAT-26 score and total number of Control Options selected, with only elevated scores on a measure of obsessions and compulsivity (OCI-R) correlating with the total number of Control Options selected (rs =.155, p=.036). In our novel paradigm, we find no relationship between EAT-26 score and control-seeking. However, we do find some evidence that this behavior may be present in other disorders that often coincide with ED diagnosis, which may indicate that transdiagnostic factors such as compulsivity are important to control-seeking.

Increased Frequency of Self-Reported Obsessive-Compulsive Symptoms in Patients with Functional Movement Disorders.

Functional movement disorders (FMD) are associated with a high prevalence of psychiatric comorbidities. To assess the frequency of obsessive-compulsive symptoms (OCS) in FMD. A total of 167 consecutive patients with clinically definite FMD (mean age = 44.4 years, standard deviation [SD] = 12.0, 119 females) and 145 healthy controls (mean age = 43.2 years, SD = 11.8, 103 females) completed the Obsessive-Compulsive Inventory-Revised (OCI-R), which is a widely used tool for assessing OCS. The cutoff score ≥21 is indicative of clinically significant obsessive-compulsive disorder (OCD). Motor symptom severity was assessed using the Simplified FMD Rating Scale (S-FMDRS). All subjects completed questionnaires for depression, anxiety, pain, fatigue, cognitive complaints, health-related quality of life, and childhood trauma. Personality traits were assessed using the Big Five questionnaire. FMD patients had higher mean OCI-R score and higher proportion of individuals with OCI-R ≥ 21 42%, 95% confidence interval (CI) = (30.2, 54.6) versus 16%, 95% CI = (8.2, 28.2) in controls, P < 0.001. Patients had higher scores in three domains: checking, ordering, and obsessing (P < 0.001). FMD patients with OCI-R score ≥21 had higher depression, anxiety, cognitive complaints, and lower quality of life compared to those with score <21 (P < 0.001). No correlation between OCI-R and S-FMDRS scores was found. FMD patients reported higher rates of OCS compared to controls, along with higher rates of non-motor symptoms and lower quality of life. This finding may have clinical implications and raises the possibility of shared risk factors and common pathophysiological mechanisms in FMD and OCD.