Clinical Psychology Review最新文献

Many youth experience mental health problems and digital games hold potential as mental health interventions. This systematic review provides an overview of randomised controlled studies assessing the effectiveness of digital applied and casual games for improving mental health in youth aged 6–24 years. A systematic search of PsycINFO, Web of Science and Pubmed yielded 145 eligible studies. Studies on (sub)clinical participant samples (n = 75) most often focused on attention-deficit/hyperactivity disorder (ADHD), autism and anxiety. Applied games were found most effective for improving social skills, verbal memory and anxiety, whereas casual games were found most effective for improving depression, anxiety and ADHD. Studies involving healthy youth (n = 70) were grouped into papers examining anxiety in medical settings, momentary effects on positive and negative affect, and papers employing a longitudinal design measuring mental health trait outcomes. Promising results were found for the use of games as distraction tools in medical settings, and for applied and casual games for improving momentary affect. Overall, our findings demonstrate the potential of digital games for improving mental health. Implications and recommendations for future research are discussed, such as developing evaluation guidelines, clearly defining applied games, harmonising outcome measures, including positive outcomes, and examining nonspecific factors that may influence symptom improvement as well.

Meta-analytic methods were used to examine global and domain-specific (i.e., academic, social, behavioral) self-esteem in children and adolescents with and without ADHD. Potential moderators of effect size heterogeneity were also examined via meta-regressions within a three-level approach. Findings from 49 aggregated global self-esteem effect sizes (ADHD_N = 2500, TD_N = 9448), 12 academic self-esteem effect sizes (ADHD_N = 386, TD_N = 315), 11 social self-esteem effect sizes (ADHD_N = 258, TD_N = 254), and 8 behavioral self-esteem effect sizes (ADHD_N = 231, TD_N = 211) suggest that children and adolescents with ADHD experience moderate global (ES = 0.46, p < .001), academic (ES = 0.60, p = .009), and social (ES = 0.67, p = .001) self-esteem impairments compared to children and adolescents without the disorder. The aggregated behavioral self-esteem effect size (ES = 0.20, p = .54), however, was not significant, and the global self-esteem effect size was markedly smaller compared to effect sizes for the academic and social domains. Further, examination of potential moderators of effect size heterogeneity indicated null effects for medication status, diagnostic complexity, informant, age, sex, comorbid psychopathology, and self-esteem dimension. Collectively, findings suggest that children and adolescents with ADHD do not hold a ubiquitous negative self-perception of difficulties across academic, social, and behavioral domains of functioning, and unexamined domains that are distal to ADHD may serve to bolster global self-esteem.

Affective forecasting – estimations of future emotional reactions – is an important aspect of future thinking that informs judgement and decision making. Biases in affective forecasting have been noted generally and with people with emotional disturbances specifically. Still, the role of affective forecasting within models of psychopathology has received little attention. Given the state of the literature, a scoping review method was adopted to summarize and synthesize the methodological approaches used in measuring affective forecasting within the context of psychopathology and the scope of the evidence on this association. Three databases were searched for research published on or before November 13th, 2023. Original quantitative research that examined affective forecasting and its association with psychopathology was reviewed. Data were charted using a form designed for this study. Overall, the review highlights the heterogeneity in operationalization of affective forecasting. The majority of the evidence supports an association between severity of psychopathology and intensity of affective forecasts, with notable exceptions, which are discussed within the scope of methodology and operationalization of affective forecasting. This remains an important process to investigate in information processing models of psychopathology to elucidate its role in the development and maintenance of psychopathology and potential as a target for intervention.

Cognitive models of psychosis have stimulated empirical studies on cognitive biases involved in schizophrenia spectrum psychoses and their symptoms. This systematic review aimed to summarize the studies on the role of cognitive biases as assessed in different performance-based tasks in schizophrenia spectrum psychoses and clinical high-risk states. We focused on five cognitive biases linked to psychosis, i.e., aberrant salience, attentional biases, source monitoring biases, jumping to conclusions, and bias against disconfirmatory evidence. We identified N = 324 studies published in N = 308 articles fulfilling inclusion criteria. Most studies have been cross-sectional and confirmed that the schizophrenia spectrum psychoses are related to exaggerated cognitive biases compared to healthy controls. On the contrary, less evidence suggests a higher tendency for cognitive biases in the UHR sample. The only exceptions were source monitoring and jumping to conclusions, which were confirmed to be exaggerated in both clinical groups. Hallucinations and delusions were the most frequent symptoms studied in the context of cognitive biases. Based on the findings, we presented a hypothetical model on the role of interactions between cognitive biases or additive effects of biases in shaping the risk of psychosis. Future research is warranted for further development of cognitive models for psychosis.

Background

Various interventions appear to enhance cancer patients' resilience. However, the best intervention options are still unknown. This systematic review and network meta-analysis aimed to examine the impact of different interventions on resilience and identify the most effective interventions.

Methods

Nine major English and Chinese databases were systematically retrieved for randomized controlled trials (RCTs) published from inception to 13 November 2023. The outcome was resilience. The analysis was conducted using Software Review Manager 5.4, R 4.2.3, and STATA 14.0.

Results

The network meta-analysis included 32 RCTs and evaluated 12 interventions. Regarding effectiveness, compared to routine care, the relative effect sizes of attention and interpretation therapy, cyclic adjustment training, cognitive intervention, expressive therapy, positive psychological intervention, social support intervention, and work-environment therapy had statistically significant enhancing resilience, with the SMD (95%CI) of 1.42 (0.75, 2.07), 1.97 (0.76, 3.18), 1.26 (0.76, 1.77), 0.93 (0.08, 1.78), 1.02 (0.55, 1.50), 1.01 (0.48, 1.56), 1.65 (0.94, 2.37), respectively. Considering the rank probability, statistical power, and efficacy, the most effective interventions for improving resilience were attention and interpretation therapy, cognitive intervention, and positive psychological intervention. With the limited quantity of RCTs, the effectiveness of cyclic adjustment training and work-environment therapy still needs to be explored.

Conclusions

Attention and interpretation therapy was the first best choice for boosting resilience out of the 12 interventions. Cognitive intervention and positive psychological intervention were also better choices for improving cancer patients' resilience. Due to the low quality and quantity of included RCTs, the need for multi-center, higher-quality trials with larger samples should be carried out.

PROSPERO ID: CRD42023434223. The study did not receive funding support.

Empirical evidence consistently shows that discordance, also called dissociation or discrepancy, between actual physiological (mainly visceral) events and their perceived counterparts is substantial. On the one hand, we typically do not perceive actual visceral events occurring in our bodies; on the other hand, sometimes we do perceive bodily changes that do not really take place. This narrative review presents the available empirical findings on the discordance, and summarizes possible explanations that approach the phenomenon from the viewpoint of evolution, cognitive development, and predictive processing. Also, the role of top-down factors, such as expectations and experiences is discussed. Finally, practically relevant consequences of the discordance are presented using the examples of mind-body practices, the placebo and nocebo phenomenon, and medically unexplained symptoms. It is concluded that the discordance between actual and perceived body changes can have a negative impact on health, mainly through issues with adherence and other behavioral factors. The existence of actual-perceived discordance should be taught and demonstrated in the elementary and high school, as well as in many areas of higher education.

Mentalizing is the human capacity to understand actions of others and one's own behavior in terms of intentional mental states, such as feelings, wishes, goals and desires. Mentalizing is a transtheoretical and transdiagnostic concept that has been applied to understanding vulnerability to psychopathology and has attracted considerable research attention over the past decades. This paper reports on a pre-registered systematic review of evidence concerning the role of mentalizing as a moderator and mediator in psychological interventions in adults. Studies in adults were reviewed that address the following questions: (a) does pre-treatment mentalizing predict treatment outcome; (b) do changes in mentalizing across treatment predict outcome; (c) does adherence to the principles or protocol of mentalization-based treatment predict outcome; and (d) does strengthening in-session mentalizing impact the therapeutic process via improved alliance, alleviated symptoms, or improved interpersonal functioning? Results suggest that mentalizing might be a mediator of change in psychotherapy and may moderate treatment outcome. However, the relatively small number of studies (n = 33 papers based on 29 studies, totaling 3124 participants) that could be included in this review, and the heterogeneity of studies in terms of design, measures used, disorders included, and treatment modalities, precluded a formal meta-analysis and limited the ability to draw strong conclusions. Therefore, theoretical and methodological recommendations for future research to improve the quality of existing research in this area are formulated.

Racism has been shown to be directly deleterious to the mental health care received by minoritized peoples. In response, some mental health institutions have pledged to provide antiracist mental health care, which includes training mental health care professionals in this approach. This scoping review aimed to synthesize the existing published material on antiracist training programs among mental health care professionals. To identify studies, a comprehensive search strategy was developed and executed by a research librarian in October 2022 across seven databases (APA PsycInfo, Education Source, Embase, ERIC, MEDLINE, CINAHL, and Web of Science). Subject headings and keywords relating to antiracist training as well as to mental health professionals were used and combined. There were 7186 studies generated by the initial search and 377 by the update search, 30 were retained and included. Findings revealed four main antiracist competencies to develop in mental health professionals: importance of understanding the cultural, social, and historical context at the root of the mental health problems; developing awareness of individual biases, self-identity and privilege; recognizing oppressive and racism-sustaining behaviors in mental health care settings; and, employing antiracist competencies in therapy. Professionals who have taken trainings having the main components have developed skills on the interconnectedness between racialized groups' mental health and the cultural, religious, social, historical, economic, and political issues surrounding race, necessary for successful clinical practice and for providing anti-racist mental health care. This scoping review presents a summary of the essential antiracist competencies drawn from the literature which must be applied in a mental health care setting, to improve help seeking behaviors, and reduce distrust in mental health care professionals and settings.

Background

The diagnosis Prolonged Grief Disorder (PGD) has recently been included in ICD-11 and DSM-5-TR. To identify individuals who need help coping with grief, knowledge is needed about who is at risk of developing PGD. We, therefore, conducted a comprehensive systematic review and meta-analysis of the available literature on risk factors for prolonged grief symptoms (PGS).

Methods

Based on a literature search in PsycInfo, PubMed, Web of Science, and CINAHL, we included the most frequently investigated risk factors in a meta-analysis. The effect size correlation was used as the standardized measure of the strength of the association between the risk factor and PGS.

Results

Based on 120 studies of 61.580 participants published between 1989 and 2023, 19 risk factors were included in the meta-analysis. For the adjusted associations, the strongest associations with PGS were pre-loss grief symptoms (ESr = 0.39, 95%CI[0.24–0.53]) and depression (ESr = 0.30, 95%CI[0.13–0.44]). Small, but statistically significant associations were observed for unexpected death, violent/unnatural death, low educational level, low income, female gender, anxious attachment style, and death of a child or partner.

Conclusions

An updated overview of risk factors for PGS is presented, including their predictive strength. The results offer knowledge that can aid prevention and early identification of people at risk of PGD.

Burgeoning technologies and the COVID-19 pandemic resulted in a boom of telehealth for immunocompromised patients, such as those with cancer. Telehealth modalities overcome barriers and promote accessibility to care. Currently, efficacious psychosocial interventions exist to address negative aftereffects of a cancer diagnosis and treatment. Many of these interventions often incorporate asynchronous telehealth (e.g., web-based, smartphone mobile app) features. However, asynchronous platforms are limited by suboptimal engagement. Subjective indicators of perceived engagement in the forms of acceptability, feasibility, and adherence are often captured, yet prior research has found discrepancies between perceived and actual engagement. The FITT (frequency, intensity, time/duration, type of engagement) model, originally developed for use to quantify engagement within exercise trials, provides a framework to assess objective engagement of psychosocial interventions for breast cancer. Using 14 keywords and searching six databases through 11/2023, 56 studies that used asynchronous telehealth interventions in breast cancer were identified. All FITT domains were reported at least once across studies with intensity metrics most commonly reported. Nine metrics were described across FITT domains. Human-centered design principles to guide telehealth development and privacy considerations are discussed. Findings offer suggestions for how to represent and optimize objective engagement in asynchronous telehealth cancer care.