Comprehensive psychiatry最新文献

This response to a reader's comment on our paper “The Global Assessment of OCD” addresses the critique regarding the stated prevalence of OCD as the fourth most common mental disorder. We acknowledge an oversight in our initial reference, discuss the variable prevalence rates from various studies, and highlight the significant disability caused by OCD. We have requested a correction to the original citation to reflect more recent findings, aiming to ensure accuracy in the discourse on OCD's public health impact.

Background

Problematic use of the internet (PUI) is prevalent, particularly among adolescents and young adults. Given the limited measures to assess specific types of PUI, which encompasses a broad spectrum of activities such as online gaming, social media use, pornography use, shopping, gambling, and web-streaming, Muller et al. (2022) developed the Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) to comprehensively assess different types of PUI (i.e., gaming, shopping, social media use, gambling, and pornography use). The present study aimed to validate the Chinese ACSID-11 among adolescents incorporating cross-cultural adaptations.

Methods

Using forward-backward translation method, a culturally adapted version of the ACSID-11 was prepared. Then, a cross-sectional online survey was administered between September 8 and September 26, 2023. Adolescents, using a convenience sample (N = 11,492; mean age = 16.42 years [SD ± 0.91]; 59.1% male), were recruited from six schools to complete the translated ACSID-11, Internet Gaming Disorder Scale-Short Form (IGDS9-SF), Bergen Social Media Addiction Scale (BSMAS), and Smartphone Application Based Addiction Scale (SABAS) via an online platform. Pearson correlation coefficients assessed convergent/discriminant validity. Factor structure and measurement invariance were examined through confirmatory factor analysis (CFA) and multi-group CFA. Cronbach's alpha and McDonald's omega tested internal consistency.

Results

Associations between the ACSID-11 components and other scales supported convergent validity (i.e., ACSID-11 gaming scale with IGDS9-SF [0.37 ≤ r ≤ 0.41]; social networks use scale with BSMAS [0.24 ≤ r ≤ 0.31]) and discriminant validity (i.e., online gambling scale with BSMAS [0.16 ≤ r ≤ 0.19] and with SABAS [0.11 ≤ r ≤ 0.13]). A four-factor solution indicated good fit with comparative fit index (CFI) ranging from 0.982 to 0.958. The ACSID-11 was measurement invariant across sexes (∆CFI = -0.001 to 0.000) and different levels of related addictive behaviors (∆CFI = -0.001 to 0.000). Both Cronbach's alpha and McDonald's omega (0.63 to 0.97) were acceptable for both frequency and intensity of responses.

Conclusions

The ACSID-11 is an appropriate scale to assess different kinds of PUI among Chinese adolescents and students. Psychometric assessment of the measure in other cultures and among clinical samples is recommended.

Introduction

High dropout and low treatment attendance rates among patients with posttraumatic stress disorder (PTSD) and personality disorders (PDs) continue to pose a significant challenge. Despite numerous studies focusing on enhancing treatment attendance, the identification of consistent and reliable predictors in patients with PTSD and comorbid PDs remains limited.

Objectives

This study aims to investigate a wide range of potential predictors of treatment attendance, encompassing demographic, patient-severity, treatment, and therapist-related variables in patients with PTSD and comorbid borderline and/or cluster C PDs.

Methods

Utilizing data from 255 patients participating in two randomized controlled trials comparing trauma-focused treatment with or without concurrent PD treatment, candidate predictors were individually analyzed in univariate regression models. Significant predictors were then combined in a multiple ordinal regression model.

Results

In total, 40% of patients attended fewer trauma-focused treatment sessions than the minimum recommended in treatment guidelines. Out of the 38 candidate predictors examined, five significant, independent predictors of treatment attendance emerged in a multiple ordinal regression model. Higher baseline PTSD severity (OR = 1.04, p = .036), higher education level (OR = 1.22, p = .009) and a stronger patient-rated working alliance (OR = 1.72, p = .047) with the therapist predicted higher treatment attendance. Conversely, inadequate social support from friends (OR = 0.90, p = .042) and concurrent PD treatment and trauma-focused treatment (OR = 0.52, p = .022) were associated with lower treatment attendance.

Conclusions

In conclusion, this constitutes the first study investigating predictors of treatment attendance in patients with PTSD and comorbid PDs. The results highlight the complexity of pinpointing reliable predictors. Nevertheless, the identification of five predictors provides valuable insights, aiding clinicians in customizing treatment strategies for individual patients and enhancing overall treatment attendance.

Introduction

Childhood maltreatment, particularly emotional abuse (EA), has been identified as a significant risk factor for the development of eating disorders (EDs). This study investigated the association between EA and ED symptoms while considering multiple potential mediators.

Methods

Participants included 151 individuals with Anorexia Nervosa (AN), 115 with Bulimia Nervosa (BN), and 108 healthy controls. The Childhood trauma questionnaire, the Toronto Alexithymia scale, the Behavioral inhibition System, and the Eating Disorder Inventory 2 scale were completed before treatment. A mediator path model was conducted in each group: EA was set as independent variable, eating symptoms as dependent variables and ineffectiveness, sensitivity to punishment, alexithymia, and impulsivity as mediators.

Results

In individuals with AN, impulsivity emerged as a significant mediator between EA and desire for thinness and bulimic behaviors. Conversely, in individuals with BN, sensitivity to punishment was found to mediate the association between EA and dissatisfaction with one's body.

Ineffectiveness and difficulty identifying emotions were identified as transdiagnostic mediators in both clinical groups. No mediation effect was found in healthy individuals.

Discussion

The simultaneous assessment of multiple mediators in a unique model outlines the complex interplay between childhood EA and ED psychopathology. Improving ineffectiveness, emotion identification, sensitivity to punishment and impulsivity and exploring their relations with early emotional abuse may represent treatment targets in individuals with EDs and childhood trauma.

Background

The five-factor model of personality, as quantified using instruments such as the Big Five Inventory, consists of broad personality domains including Extraversion, Agreeableness, Conscientiousness, Neuroticism (emotional instability), and Openness. Such instruments typically include >40 items. However, instruments with many items can be unwieldly and a cause of measurement error in clinical and cohort studies where multiple scales are sequenced. Conversely, established 5- and 10-item versions of the Big Five Inventory have poor reliability. Here, we developed and validated an abbreviated 18-item Big Five Inventory that balances efficiency, reliability and sensitivity.

Method

We analysed three datasets (N = 59,797, N = 21,177, and N = 87,983) from individuals who participated in the online Great British Intelligence Test (GBIT) study, a collaborative citizen science project with BBC2 Horizon. We applied factor analyses (FA), predictive normative modelling, and one-sample t-tests to validate the 18-item version of the Big Five and to investigate its associations with psychiatric and neurological conditions.

Results

The 18-item version of the Big Five Inventory had higher validity and retest reliability compared to the other previously shortened versions in the literature, with comparable demographic associations to the full Big Five Inventory. It exhibited strong (i.e. large effect size) associations with psychiatric conditions, and moderate (small-medium) associations with neurological conditions. Neuroticism (emotional instability) was substantially higher in all psychiatric conditions, whereas Conscientiousness, Openness and Extraversion showed differential associations across conditions.

Conclusion

The newly validated 18-item version of the Big Five provides a convenient means of measuring personality traits that is suitable for deployment in a range of studies. It retains psychometric structure, retest reliability and clinical-group sensitivity, as compared to the full original scale.

Problematic online behaviours are a concern among university students. Although previous research has identified that psychological distress, cognitive distortions, conscientiousness and neuroticism traits, motor impulsivity, and emotion regulation strategies have a significant direct effect on generalised problematic Internet use (GPIU), problematic social media use (PSMU), and problematic online gaming (POG), it is still necessary to determine the extent to which these psychological factors, taken together, are associated with each of the problematic online behaviours. In a sample of 690 Spanish university students, the present study examined the relationship of these psychological factors with GPIU, PSMU, and POG. Correlation and regression analyses were performed. Results reported that (1) high psychological distress, low conscientiousness trait and high motor impulsivity were common associated factors of GPIU and PSMU, but not of POG; (2) high levels of cognitive distortions and cognitive reappraisal were common associated factors of GPIU, PSMU and POG; and (3) expressive suppression and neuroticism trait had no effect on any of the three problematic online behaviours. The findings will help to develop effective prevention and intervention strategies for each problematic online behaviour in the university context.

Background: Several studies have explored the relationship between personality and work addiction, suggesting that individuals with certain mental disorders, including personality disorders such as obsessive-compulsive personality disorder (OCPD), may be more prone to work addiction. However, the characterization of personality organization (PO) among workaholics and its contribution to the persistence of work addiction remains unclear. Methods: In this longitudinal study of a representative sample of young adults (N = 1748), we applied the Bergen Work Addiction Scale and the Inventory of Personality Organization. Results: We found significant correlations between work addiction and identity diffusion, primitive psychological defenses, reality testing, and overall personality disorganization across three waves. A latent class growth analysis revealed three profiles: no work addiction, increasing work addiction, and constant moderate work addiction. Multinomial logistic regression analysis indicated that higher levels of personality disorganization in wave 1 and increases in personality disorganization between waves 1 and 3 were associated with higher odds of belonging to the increasing work addiction group. Similarly, higher overall personality disorganization in wave 1 was associated with higher odds of belonging to the constant moderate work addiction group. Conclusion: These findings suggest that individuals with chronic work addiction have lower levels of PO, and PO declines as work addiction persists. Screenings for work addiction are recommended to prevent potential mental health issues. Future research should explore the influence of workplace characteristics and work motivations on the association between work addiction and personality disorders.

Background

Provisional Tic Disorder (PTD) is common in childhood. The received wisdom among clinicians is that PTD is short-lived and mild, with at most a few tics, and rarely includes complex tics, premonitory phenomena or comorbid illnesses. However, such conclusions come from clinical experience, with biased ascertainment and limited follow-up.

Methods

Prospective study of 89 children with tics starting 0–9 months ago (median 4 months), fewer than half from clinical sources. Follow-up at 12 (± 24, 36, 48) months after the first tic.

Results

At study entry, many children had ADHD (39), an anxiety disorder (27), OCD (9) or enuresis (17). All had at least two current tics, with a mean total since onset of 6.9 motor and 2.0 phonic tics. Forty-one had experienced a complex tic, and 69 could suppress some tics. Tics were clinically meaningful: 64 had tics severe enough for a clinical trial, and 76 families sought medical attention for the tics.

At 12 months, 79 returned, and 78 still had tics. Of these, 29 manifested no tics during history and extended examination, but only via audio-visual monitoring when the child was seated alone. Only 12/70 now had plans to see a doctor for tics. Most who returned at 2–4 years still had tics known to the child and family, but medical impact was low.

Conclusions

Our results do not contradict previous data, but overturn clinical lore. The data strongly argue against the longstanding but arbitrary tradition of separating tic disorders into recent-onset versus chronic.

Introduction

Psychotic-like experiences (PLEs) during adolescence can lead to psychotic disorders. Digital media usage has been suggested to link to PLEs, but research is limited on how different types of screen exposure may differentially relate to PLEs over time. This study aimed to examine longitudinal associations between screen usage patterns and PLEs in adolescents.

Methods

Participants comprised 11,876 adolescents assessed annually from ages 9–12 years as part of the Adolescent Brain Cognitive Development study (ABCD). Screen usage (TV, video games, online video, social media, texting, video chat) and PLEs were assessed via self-report. Longitudinal network analysis models were estimated to examine connections between screen usage types and PLEs across three time points.

Results

Two clusters were formed, including digital media for socializing (e.g., social media/texting/video chat) and digital media for entertainment (e.g., online video/video games/TV). Texting and online video(s) had the highest centrality at each time point, suggesting importance in the network. PLE symptoms of hallucinations and concentration difficulties exhibited higher centrality than other symptoms. Online video and TV were influential bridges between screen usage and PLEs. Network structure significantly differed between ages 9–10 and 10–12 years, but global strength was unchanged over time.

Discussion

Results highlight the importance of understanding the associations between specific screen usage types and PLE symptoms. Texting and online video usage appear most influential in the development of adolescent PLEs over time. Findings can inform targeted interventions to promote healthy screen habits and reduce PLEs in at-risk youth.

Background

The activation of permissive beliefs is a cognitive mechanism through which individuals permit themselves to engage in pleasurable, yet potentially unregulated activities. Existing measures are heterogenous, focusing either on specific behaviors or on particular licensing mechanisms. The new Permissive Beliefs Questionnaire (PBQ) seeks to integrate self-licensing mechanisms from various research domains and to be applicable to different behaviors.

Methods

Study 1 aimed at exploring the factor structure and reduce the number of items. In study 2, we used confirmatory factor analysis and tested convergent and discriminant validity in three subsamples of individuals playing videogames (n = 489), shopping online (n = 506), and drinking alcohol (n = 511). We tested the hypothesis whether individuals who experience a self-regulatory conflict show a greater expression of permissive beliefs.

Results

The final version of the PBQ consists of 12 items which represent two factors: Deserving Reward and Defensive Optimism. The PBQ exhibited robust model fit indices and internal consistencies in the three samples. Permissive beliefs were heightened among individuals intending to downregulate their gaming, shopping, or drinking behaviors as compared to individuals without this intention.

Conclusion

The PBQ is a valid measure of permissive beliefs for gaming, online shopping, and drinking alcohol. It serves an ecologic and psychometrically valid tool to address empirical research questions regarding the functioning of permissive beliefs. Additionally, it may be used in clinical settings to measure and raise an understanding for permissive beliefs in clients.