Clinical Psychology Review最新文献

Background

The cognitive theory of panic disorder proposes that individuals with panic disorder have a relatively enduring tendency to catastrophically misinterpret bodily sensations resulting in panic attacks.

Aims

We investigated whether the evidence is consistent with the theory and its predictions, if updates are required and sought to identify future research considerations.

Methods

We searched Scopus, Web of Science, PsycInfo, EMBASE, MEDLINE and CINAHL (1986 to July 2024). Inclusion criteria were studies collecting quantitative data derived from panic disorder patients, testing one of the predictions and using appropriate outcome measures. Exclusion criteria were non-English language publications, all participants under the age of 18 and studies that were not published in a peer-reviewed journal. Quality was assessed using ‘QualSyst’ and synthesis was based on each prediction tested. PROPSERO registration #CRD42022332211.

Results

53 studies were identified amongst 49 publications. There was substantial evidence for all predictions. Three studies did not support the prediction tested and none were inconsistent.

Limitations

Most studies were ‘medium’ in quality and were predominately from female samples.

Conclusions

Findings are consistent with the theory and its predictions. Higher quality research is needed and implications for future research are discussed.

The global gaming community now exceeds 3 billion players, prompting increased attention from social and medical sciences regarding gaming-related disorders. Internet Gaming Disorder (IGD) was incorporated into DSM-5 in 2013, and Gaming Disorder (GD) found its place in ICD-11 in 2019. A contentious criterion in IGD, not present in GD, revolves around withdrawal symptoms. This paper offers a theoretical foundation on gaming withdrawal symptoms in gaming-related disorders and conducts a scoping review of withdrawal operationalization and conceptualization in 40 selected studies, following PRISMA-ScR guidelines.

Most studies employed a correlation framework, relying on convenience samples and self-assessment questionnaires. A smaller portion focused on clinical samples and case studies. Withdrawal was predominantly conceptualized in terms of affective components, with less emphasis on behavioural, cognitive, physical, or neurological aspects. The prevailing terminology for gaming-related disorders was IGD, with only three studies referencing GD as defined in ICD-11. Notably, just six experimental studies included abstinence control.

We advocate for an expansion of research on withdrawal symptoms, particularly through experimental studies that implement abstinence within experimental groups and offer alternative operationalizations beyond dominant self-assessment measures.

Understanding developmental trajectories and gender differences in depressive symptoms is clinically relevant. Discerning true differences across gender, age groups, and time is based on the often-neglected premise of measurement invariance (MI) of child and adolescent depression scales. In this systematic review, we assessed available evidence for MI across gender, age groups, and time for depression scales validated in children and adolescents, in studies with at least one assessment under age 18. A literature search using Medline, PsychInfo, Scopus, Web of Science, and Google Scholar databases identified 42 studies that examined MI. MI of eleven scales was tested in 1–9 studies per scale. Conclusions are hampered by different factor solutions tested within some scales. All included questionnaires showed preliminary evidence for MI across gender. Across some studies, crying had higher factor loadings in females compared to males, indicating that crying may be differently related to depression across gender. MI evidence was preliminary in just four scales across time, mostly confined to ages 13–17. One study showed developmental conclusions differed when non-invariance is not accounted for in observed scores. Overall, evidence for MI in child and adolescent depression scales is currently limited.

Background

The deficit in cognitive reappraisal capacity is a key factor in developing and maintaining emotional disorders such as anxiety disorders and depressive disorders. However, the results from both neuroimaging and behavioral studies are mixed. Therefore, we systematically conducted a series of meta-analyses based on behavioral and neuroimaging studies to clarify this issue.

Methods

In behavioral meta-analyses, we used three-level random-effects models to summarize the overall effect sizes based on Hedges' g. In neuroimaging meta-analyses, we used SDM-PSI to summarize the brain activation patterns.

Results

Behavioral meta-analyses found that individuals with anxiety disorders or depressive disorders could reduce negative reactivity through reappraisal; the reduction of negative emotions through reappraisal by individuals with anxiety disorders was similar to that by healthy individuals; the reduction by depressive disorders was lower than that of healthy individuals. Neuroimaging meta-analyses showed that individuals with anxiety disorders or depressive disorders activated regions of cognitive control during cognitive reappraisal; the activation in individuals with anxiety disorders was lower than in healthy individuals; while the activation in individuals with depressive disorders was similar to that in healthy individuals.

Conclusion

Individuals with anxiety and depressive disorders showed dissociation in behaviour and neuroimaging patterns of cognitive reappraisal capacity deficit.

Concerns surrounding electronic addictions, an umbrella term including any clinically significant technology-based addictive problem, have increased as technology has advanced. Although researchers and clinicians have observed detrimental effects associated with excessive technology use, there is no agreed-on definition or set of criteria for these problems. The lack of a consistent understanding of electronic addictions has led to a lack of consistency in both assessment and treatment studies, precluding strong recommendations for effective screening and clinical intervention. This meta-review integrates findings from 22 systematic reviews and meta-analyses of electronic addictions to determine which measures and interventions may effectively measure and treat electronic addictions. We conducted a meta-review using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Findings suggest that although some measures may have good internal consistency and reliability among college students, there was a general lack of consistency in how measures were used across studies, making comparison difficult. Psychological and exercise-based interventions were shown to reduce symptoms of electronic addictions short-term, but no treatment was superior to others in overall symptom reduction. Most included reviews raise serious concerns about the lack of consensus on what constitutes an electronic addiction. Consequently, it was not possible to draw conclusions about the overall efficacy of any measurement tools or interventions. We provide suggestions for next steps to establish the phenomenology of electronic addictions before additional research on assessment and intervention is conducted.

High-quality clinical care and research on suicidal thoughts and behaviors (STBs) depends on availability and implementation of reliable and valid measures of STBs. In contrast to studies examining STB risk factors, screening instruments, or treatment, little research has rigorously examined the content, characteristics, and psychometric properties of STB measures themselves. This systematic review (1) identified STB measures that conform to empirically supported definitions of STBs, and (2) identified peer-reviewed papers reporting on the psychometric properties of these measures in adults. Data on psychometric properties and other measure characteristics were extracted. A total of 21 eligible measures were identified in the first stage. In the second stage, 70 articles (with 79 independent samples) were included with psychometric data in adult samples for 19 measures. Although there was support for strong internal consistency and content validity across many measures, face validity and clinical utility concerns were prevalent. Few measures comprehensively assessed suicidal behaviors, and interview-based assessments tended to show the strongest psychometric properties and clinical utility. Findings are discussed in the context of recommendations for improving existing measures, including future research to increase utility and translatability across clinical settings, delivery methods, and diverse populations.

Schizophrenia, a debilitating psychiatric disorder, has a long-term impact on social and occupational functioning. While negative symptoms, notably amotivation, are recognized as poor prognostic factors, the positive force of patient motivation (autonomous motivation) remains underexplored. This systematic review, guided by Self-Determination Theory (SDT), investigated the impact of motivation on clinical presentation, and treatment engagement and response in schizophrenia-spectrum disorders. Fifty-five independent studies (N = 6897), using 23 different motivation scales, met inclusion criteria. Results were categorized into cross-sectional and longitudinal correlates of autonomous motivation, and the effects of motivational interventions. Cross-sectionally, autonomous motivation was positively associated with social/occupational functioning, and negatively associated with negative and positive symptom severity. In longitudinal studies, baseline autonomous motivation predicted engagement in and response to social/occupational treatments, with mixed results in cognitive interventions. In the 16 randomized controlled trials (RCTs), the most common motivational interventions were individualized goal setting and goal attainment support, followed by increasing sense of competence by challenging defeatist beliefs, and enhancing relatedness by increasing contact time. Motivational interventions consistently increased autonomous motivation, treatment engagement and response. More studies are needed, particularly studies that monitor motivation during treatment: proximal assessments could facilitate the identification of treatment elements that impact motivation and engagement and inform treatment modifications to enhance the patient experience and improve treatment efficacy.

Background

Dysfunctional imagery processes characterise a range of emotional disorders. Valid, reliable, and responsive mental imagery measures may support the clinical assessment of imagery and advance research to develop theory and imagery-based interventions. We sought to review the psychometric properties of mental imagery measures relevant to emotional disorders.

Methods

A systematic review registered on the Open Science Framework was conducted using COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidance. Five databases were searched. COSMIN tools were used to assess the quality of study methodologies and psychometric properties of measures.

Results

Twenty-three articles describing twenty-one self-report measures were included. Measures assessed various imagery processes and were organised into four groups based on related emotional disorders. Study methodological quality varied: measure development and reliability studies were generally poor, while internal consistency and hypothesis testing studies were higher quality. Most measurement properties assessed were of indeterminate quality.

Conclusion

Imagery measures were heterogenous and primarily disorder specific. Due to a lack of high-quality psychometric assessment, it is unclear whether most included imagery measures are valid, reliable, or responsive. Measures had limited evidence of content validity suggesting further research could engage clinical populations to ensure their relevance and comprehensiveness.

This review aimed to develop a conceptual model of the therapeutic alliance in the context of psychotherapy and suicidal experiences from therapist and client perspectives. The protocol was pre-registered on PROSPERO (CRD42021268273). MEDLINE, PsycINFO, Web of Science, Embase and CINAHL were systematically searched from database inception to April 2024. Eligible studies were peer-reviewed, qualitative, and included client and/or therapist's perspectives of the therapeutic alliance in the context of psychotherapy and suicidal experiences. Studies were critically appraised and analysed using a meta-ethnography approach involving a reciprocal translation of studies and line of argument synthesis. Thirty-seven papers were included, generating two overarching themes; ‘Working on the edge’ and ‘Being ready, willing, and able to build an alliance in the context of suicidal experiences’. Therapeutic alliance in the context of suicidal experiences is unique, fluid, potentially lifesaving, and influenced by multiple inter-connected internal and external processes and systems. Clinical implications emphasise the need to improve training, supervision, and support for therapists to equip them with the additional skills required in navigating the intricacies of the therapeutic alliance with clients who have suicidal experiences. Flexibly interweaving risk assessment into therapeutic conversation was beneficial to the alliance with suicidal clients and enhanced their safety.

Gaze abnormalities are well documented in infants at elevated risk for autism spectrum disorder (ASD). However, variations in experimental design and stimuli across studies have led to mixed results. The current meta-analysis aimed to identify which type of eye tracking task and stimulus are most effective at differentiating high-risk infants (siblings of children with ASD) who later meet diagnosis criteria from low-risk infants without familial autism. We synthesized 35 studies that used eye tracking to investigate gaze behavior in infants at high genetic risk for autism before 2 years of age. We found that stimulus features, regions of interest (ROIs) and study quality moderated effect sizes across studies. Overall, dynamic stimuli and socially-relevant regions in the social stimuli (i.e. the target and activity of characters' shared focus) reliably detected high-risk infants who later develop ASD. Attention disengagement task and stimuli depicting interactions between human and nonhuman characters could identify high-risk infants who later develop ASD and those who have autism-related symptoms but do not meet the diagnostic criteria as well. These findings provide sensitive and reliable early markers of ASD, which is helpful to develop objective and quantitative early autism screening and intervention tools.