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The growing body of research on the effects of computerized dynamic assessment (C-DA) on second language (L2) learning underscores the need for a comprehensive research synthesis to identify future research directions and inform the application of C-DA in L2 educational contexts. This meta-analysis employed a three-level modeling approach to examine the effectiveness of C-DA in improving L2 learners’ performance. It synthesized 27 effect sizes from cake format designs, in which mediation is embedded within the test sequence, and 24 effect sizes from sandwich format designs, where mediation is delivered between a pretest and a posttest, across 35 studies published between 2000 and May 27, 2025. This study also investigated the key variables that moderate C-DA effectiveness. Findings reveal large, significant positive effects of both the cake and sandwich formats on L2 performance improvement (cake format: g = 2.120, p < .001; sandwich format: g = 1.676, p < .001), with the cake format tending to yield larger effect sizes. This may be because the cake format captures gains during mediation, whereas the sandwich format reflects post-mediation outcomes. Moderator analyses show that the number of items, test content, and learners’ first language affect C-DA effectiveness in promoting L2 performance. Drawing on the synthesized findings, this study contributes to theoretical, methodological, and technological understandings of C-DA and offers suggestions for future research in this domain.
Adverse childhood experiences are critical contributors to the development of psychiatric disorders. Despite its pervasive impact on mental health, childhood neglect remains underexplored. Here, we performed a first comprehensive synthesis of the association between neglect subtypes and psychiatric disorders.
Aims
The primary aim was to quantify the overall association between neglect and psychiatric disorders, by estimating the odds ratios from clinical and control groups. The secondary aim was to examine the association between unspecified, physical and emotional neglect, and specific psychiatric disorders.
Method
Studies were systematically selected from three databases (PubMed, EMBASE and PsycINFO), focusing on adult populations with diagnosed psychiatric disorders and corresponding control groups. Meta-analyses assessed overall associations between neglect and psychiatric disorders, as well as subtypes-specific associations with distinct psychiatric conditions. Multiple meta-regressions were performed to explore moderating factors.
Results
Strong associations were found between neglect and psychiatric disorders across all subtypes (unspecified neglect: odds ratio 3.63, 95% CI 2.19–6.01; physical neglect: odds ratio 3.27, 95% CI 2.51–4.25; emotional neglect: odds ratio 3.36, 95% CI 2.58–4.38). Subgroup analyses showed the strongest associations between unspecified neglect and bipolar disorder, physical neglect and schizophrenia spectrum disorders, and emotional neglect and major depressive disorder. Other associations emerged, although their interpretation was limited by a small number of studies and high heterogeneity levels.
Conclusions
Neglect is significantly associated with psychiatric disorders, with distinct patterns across neglect subtypes and mental health outcomes. These findings highlight the need for early identification and tailored interventions to mitigate neglect’s long-term burden on mental health.
Purpose in life is consistently associated with better health outcomes, including lower risk of earlier mortality. We report an updated meta-analysis of the published literature, combined with analysis of individual-participant data, to address replicability, generalizability, and potential mechanisms of the association between purpose in life and risk of mortality.
Methods
A random-effects meta-analysis of individual-participant data from ongoing longitudinal studies (k = 8) combined with findings from a systematic review of the published literature (k = 17 samples from 14 publications). Across the 25 samples, there were 488,765 participants, 48,928 deaths, and up to 32 years of follow-up.
Results
Purpose in life was associated with a ~ 30% lower risk of earlier mortality (meta-analytic HR = .76 [1/.76 = 1.32], 95% CI = .70, .83). The association was apparent across sociodemographic groups, with some small differences in magnitude by age, race, and education. The association was attenuated but persisted, controlling for behavioral and clinical risk factors for mortality (meta-analytic HR = .85, 95% CI = .82, .89), or depression (meta-analytic HR = .91, 95% CI = .88, .94).
Conclusions
A meta-analysis of 25 samples from the United States, Europe, and Asia indicated that purpose in life has a consistent association with lower risk of mortality. The association is due in part but not completely to behavioral, clinical, and psychological risk factors for earlier mortality.
Internal and external validity are key criteria for evaluating the quality and usefulness of research on second language acquisition (SLA). Although considerable attention is given to internal validity, external validity—the extent to which findings can be generalized beyond the specific study conditions—may be neglected during peer review and subsequent interpretations of findings. This editorial argues that a lack of attention paid to external validity reduces the interpretability and responsible use of SLA research through overgeneralization and misinterpretation of results. Current initiatives aimed at improving generalizability, including replication, meta-analysis, and multisite studies, are discussed, and a framework for evaluating external validity is proposed. The editorial concludes by calling for more transparent reporting practices and more cautious interpretation of research findings, with the aim of promoting accurate interpretation, replication, and theoretically motivated follow-up research in SLA.
Behavioural activation is effective for depression, but its effectiveness in treating adults with depression when delivered by lay workers remains unclear.
Aims
To examine the effectiveness of behavioural activation delivered by lay workers, compared with any control group, in reducing depressive symptoms in adults.
Method
This systematic review searched six databases from inception to January 2025, for randomised controlled trials (RCTs) comparing behavioural activation and any control conditions for individuals with depression when delivered by lay workers. Additional searches were conducted in the international trial registries and reference lists (PROSPERO registration CRD42024625620). Risk of bias was assessed using the Cochrane Collaboration’s Risk-of-Bias 2 tool. Random effects meta-analysis was conducted using the Metafor package in R.
Results
Of 9614 initial studies, six RCTs met the inclusion criteria and were included. A total of 1118 participants in the intervention groups and 1596 in the control groups. The findings demonstrated a small but statistically significant effect in reducing depressive symptoms in favour of the intervention group (standardised mean difference: −0.28, 95% CI −0.46 to −0.09; p = 0.0029). However, the risk of bias was high across all studies, with substantial heterogeneity (I2 = 76%).
Conclusions
Evidence from this review and meta-analysis suggests that behavioural activation, when delivered by trained lay workers, may offer an effective approach for reducing depressive symptoms in adults, particularly in settings with limited access to specialist mental healthcare professionals. However, high risk of bias and heterogeneity of the included studies means that these findings should be interpreted with caution.
Increased interest in depth of processing (DoP) within instructed second language acquisition (ISLA) research highlights its influence on L2 learning outcomes, especially in vocabulary retention, grammatical accuracy, and overall proficiency. Despite its theoretical significance, inconsistencies in DoP’s conceptualization and operationalization have resulted in mixed findings regarding its impact on language development. This study presents a research synthesis and quantitative meta-analysis of ISLA studies on DoP, examining the operational definitions of DoP and the variations in its operationalizations across studies. The analysis examines how DoP affects L2 learning outcomes and how differences in its definition and operationalization shape these outcomes. The study also identifies key limitations in DoP research, including inconsistencies across conceptual frameworks and operationalizations, and a lack of a unified approach. Finally, it discusses the methodological and pedagogical implications of DoP and proposes future research directions to refine its operationalization and explore its sustained effects on L2 development.
Transcutaneous auricular vagus nerve stimulation (taVNS) is a noninvasive technique engaging vagal afferents that may enhance cognition, but results vary across domains and samples. Following PRISMA, seven databases (inception–October 2025) plus registries and gray literature were searched. Random-effects meta-analyses (REML; Hedges’ g) were complemented by Bayesian hierarchical models and sensitivity analyses. Fifty-three studies were included; 30 contributed quantitative data (>1,500 participants). taVNS was associated with improved cognitive performance overall (g = 0.41, 95% CI: 0.30–0.53; I2 = 51.4%). Effects were moderate for executive functions (g = 0.46, 95% CI: 0.27–0.65; I2 = 9.5%) and cognitive flexibility/learning (g = 0.53, 95% CI: 0.32–0.75; I2 = 52.9%), and small for working memory/attention (g = 0.19, 95% CI: 0.04–0.33; I2 = 14.9%). Social cognition/emotion regulation showed larger but imprecise effects (k = 3; g = 0.80, 95% CI: 0.07–1.52; I2 = 82.1%). Clinical samples benefited similarly (k = 7; g = 0.55, 95% CI: 0.31–0.79; I2 = 29.5%), with no difference from healthy cohorts (β = −0.001, p = .994). High-intensity protocols (>1.0 mA) yielded larger effects; mode, duration, and site were not moderators. Bayesian models supported effects (P [μ > 0] ≥ 0.93). taVNS is associated with statistically significant improvements in cognitive performance, strongest for executive control and adaptive learning. We propose a Vagal Neurocognitive Integration Model linking LC-NE arousal modulation to prefrontal control. Future diagnosis-specific, adequately powered trials with multimodal neuroimaging should refine mechanisms and dose–response.
The “shape bias” – the tendency to generalize new nouns by their shape rather than features like colour or texture – is considered a cornerstone of early noun learning. However, the magnitude, development, and cross-cultural generality of this bias remain debated. We conducted a pre-registered meta-analysis and meta-regression of 71 studies to synthesize the evidence base. Our analysis revealed a robust overall effect, confirming the existence of a shape bias. However, this effect was characterized by extreme between-study heterogeneity (I2 = 0.95). Critically, meta-regression analyses failed to support hypothesized developmental changes, with a constant model across ages providing the most parsimonious fit. The literature is overwhelmingly dominated by studies of English-speaking children, preventing meaningful tests of cross-linguistic or cross-cultural variation. Diagnostic tests were also consistent with the possibility of publication bias, though these patterns can also arise from methodological heterogeneity and should be interpreted with caution. Together, these findings indicate that procedural variation, and potentially publication bias, more than currently testable theoretical moderators, account for the variability in the literature, severely limiting the ability to distinguish between theories of the shape bias’s origins.
In the field of second language (L2) research, interest in applying meta-analytic techniques has gained momentum in recent years. Considering the potentially far-reaching impact of meta-analyses, they must adhere to rigorous methodological practices and a high level of transparency regarding decisions made throughout the meta-analytic process. This study empirically assessed the methodological and reporting practices of 224 L2 meta-analyses published across 99 journals. To conduct systematic coding, a comprehensive instrument was developed, comprising 39 items that each address a key aspect of meta-analytic methodology or reporting practice. The overall findings provided an overview of current practices, identifying both strengths and areas for improvement. Based on the findings, recommendations were offered for improving methodological rigor and transparency in L2 meta-analyses. Additionally, the comprehensive coding instrument developed in this study offers a valuable resource for the systematic evaluation of methodological and reporting practices in future L2 meta-analytic research.
In prior studies, contextual diversity (CD) has been shown to significantly impact word learning, yet gaps remain in understanding its theoretical underpinnings and moderating factors. This research aimed to synthesize trends in CD studies, evaluate the heterogeneity in its definitions and operationalizations, explore its correlation with word learning, and examine potential moderators influencing this relationship. After a literature search and application of screening criteria, we conducted a systematic review and meta-analysis of 20 empirical studies. The primary target population comprises both L1 monolingual and L2 bilingual speakers. Behavioral studies revealed a significant effect of CD on word learning (Cohen’s d = 0.44, p < .001). Eye-tracking data demonstrated significant effects during early and later stages of processing, reflecting heightened attention: first fixation duration: d = −0.365, p = .023, gaze duration: d = −0.574, p = .005, go-past time: d = −0.749, p = .023, and total time: d = −0.691, p = .009. Moderator analysis identified age as a key factor, while gaps in theoretical frameworks and assessments of cognitive moderators were noted. These findings highlight the need for integrating offline and online methods and developing clearer theoretical models to advance our understanding of CD.
Virtual reality is a promising intervention for schizophrenia spectrum disorders (SSDs), offering immersive environments to support therapy. However, evidence for its effectiveness across symptom domains remains inconsistent.
Aims
To assess the effectiveness of virtual reality-based therapies (VRT) for SSDs on symptomatology and psychosocial functioning compared with control conditions.
Method
A systematic review and meta-analysis of controlled trials using virtual reality for individuals with SSDs was conducted. Searches were conducted across PubMed, PsychINFO, EMBASE, CINAHL and Cochrane Central Register of Controlled Trials, from inception to March 2025. Random-effects models estimated pooled effect sizes (Hedges’ g) across outcomes, including Positive and Negative Symptom Scale, depression, paranoia and cognition. Risk of bias was assessed using the Joanna Briggs Institute Risk of Bias Tool.
Results
From 2878 unique studies, 9 trials were eligible for meta-analysis. VRT was significantly more effective than control conditions in reducing overall psychotic symptoms (Hedges’ g = 0.53, p = 0.037). No significant effects were found for other domains (positive, negative, depressive or paranoia symptoms).
Conclusions
Virtual reality therapies are moderately effective at reducing overall psychotic symptoms. Unlike prior reviews, this study did not find significant effects on positive symptoms, possibly due to the heterogeneity of outcomes reported in existing interventions.
Patients with inflammatory bowel disease (IBD) may be at increased risk of complications following lumbar spine surgery due to systemic inflammation, immunosuppressive therapy and nutritional deficiencies. This systematic review and meta-analysis evaluated the comparative outcomes of lumbar spinal surgery in patients with and without IBD.
Methods:
We searched five databases through June 2025 for randomized and observational studies comparing postoperative outcomes of lumbar spine surgery of any type between adult patients with and without IBD. A random-effects meta-analysis was performed using the DerSimonian and Laird method.
Results:
Four retrospective cohort studies encompassing 878,116 patients (15,763 with IBD and 564,733 controls) were included. IBD patients had significantly higher odds of multiple adverse outcomes, including any complication (OR = 1.63, 95% CI: 1.08–2.47), serious adverse events (OR = 1.68, 95% CI: 1.39–2.02), minor adverse events (OR = 2.04, 95% CI: 1.63–2.55), wound infections (OR = 1.21, 95% CI: 1.08–1.35), venous thromboembolic events (OR = 1.86, 95% CI: 1.49–2.32), pneumonia (OR = 2.31, 95% CI: 1.93–2.77), urinary tract infections (OR = 2.29, 95% CI: 1.35–3.87), acute kidney injury (OR = 1.91, 95% CI: 1.68–2.17) and blood transfusions (OR = 1.64, 95% CI: 1.29–2.08). Myocardial infarction (OR = 1.76, 95% CI: 1.40–2.23) was also more common in IBD patients. No significant difference was observed in 90-day hospital readmissions.
Conclusion:
Patients with IBD may experience significantly increased risks of postoperative complications after lumbar spine surgery. However, substantial heterogeneity among retrospective studies limits the strength of causal inferences. These findings highlight the importance of tailored perioperative management and risk counseling in this population.
The primary effect parameter in depression trials is usually a measure of depressive symptoms, e.g. the Hamilton Depression Rating Scale (HDRS). Such measures have been criticised for not covering patient-relevant domains, such as quality of life, and hence not accurately reflecting patient-experienced efficacy.
Aims
To investigate the relation between clinician-rated depressive symptoms and patient-reported quality of life measured by the Quality-of-Life Enjoyment and Satisfaction Questionnaire Short Form (Q-LES-Q-SF).
Method
We included data from six acute-phase trials (n = 918) comparing mirtazapine to another antidepressant (amitriptyline, fluoxetine, paroxetine or venlafaxine) where both HDRS and Q-LES-Q-SF had been administered. No study included a placebo arm. Correlations between instruments (scales, subscales and items) were assessed after six weeks. Q-LES-Q-SF outcomes for participants who were in HDRS-defined remission were contrasted to those from participants with more severe depressive symptoms.
Results
Q-LES-Q-SF ratings correlated strongly with HDRS-17 (r = −0.73, p < 0.0001) and HDRS-6 (r = −0.72, p < 0.0001), but somewhat weaker to HDRS-11 (r = −0.64, p < 0.0001). Depressed mood (r = −0.66, p < 0.0001) and work and activities (r = −0.65, p < 0.0001) showed the strongest item-level correlations to Q-LES-Q-SF. Participants in HDRS-remission had average Q-LES-Q-SF scores on the lower end of those reported by healthy controls, whereas patients with mild depressive symptoms (or worse) had average life-quality scores corresponding to severe impairment.
Conclusions
HDRS and Q-LES-Q-SF showed considerable agreement in depressed study participants treated with antidepressants, suggesting that HDRS meaningfully reflects patient-reported improvement.
This chapter provides a comprehensive guide to planning and executing quantitative research in psychology, from initial idea conception to final manuscript preparation. It outlines key steps in the research process, including selecting variables, designing experiments, obtaining ethical approval, and collecting data.
Neuropsychiatric disorders (NPDs) are a leading cause of disability worldwide. The predominantly plant-based EAT–Lancet diet has been proposed to confer neuropsychiatric benefits, yet evidence remains limited. This study synthesized associations between adherence to the EAT–Lancet diet and neuropsychiatric outcomes. We searched PubMed, Web of Science, Embase, Scopus, and ProQuest Dissertations and Theses Global through September 4, 2025. Observational studies reporting associations between EAT–Lancet adherence and NPDs were included. Binary outcomes were pooled as hazard ratios (HRs) or odds ratios (ORs), and continuous outcomes as regression coefficients (β). Subgroup, sensitivity, and publication-bias analyses were performed. Certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation framework (GRADE). Twenty-two cohort and six cross-sectional studies were included. Higher adherence to the EAT–Lancet diet was associated with lower risks of depression (OR 0.76; 95% CI 0.71–0.81), anxiety (OR 0.82; 0.76–0.89), stroke (HR 0.84; 0.76–0.92), and dementia (HR 0.96; 0.93–1.00), whereas no significant association was observed for global cognitive function (β 0.02; −0.01 to 0.06). Sensitivity analyses supported robustness. Certainty of evidence was very low for anxiety, depression, and cognition, and low for stroke and dementia. Greater adherence to the EAT–Lancet diet was associated with lower risks of depression, anxiety, stroke, and dementia. However, given the low certainty of evidence, findings should be interpreted cautiously. Further large prospective studies and randomized controlled trials are warranted to improve evidence quality and clarify the potential role of the EAT–Lancet diet in neuropsychiatric disease prevention.
Data extraction in systematic reviews, maps, and meta-analyses is time-consuming and prone to human error or subjective judgment. Large Language Models offer the potential for saving time, yet their performance has been evaluated in a limited range of platforms, disciplines, and review types. We assessed the performance of the Elicit platform across diverse data extraction tasks using journal articles from seven systematic reviews in life and environmental sciences. Human-extracted data served as the gold standard. For each review, we used eight articles for prompt development and another eight for testing. Initial prompts were iteratively refined to exceed 87% accuracy or up to five rounds. We then tested extraction accuracy, reproducibility across user accounts, and the effect of Elicit's high-accuracy mode. Of 90 considered prompts, 70 exceeded the 87% accuracy when compared to gold standard, but tended to be lower when tested on a new set of articles. Repeating data extractions with different Elicit user accounts resulted in 90% agreement on extracted values, though supporting quotes and reasoning matched in only 46% and 30% of cases, respectively. In high-accuracy mode, value matches dropped to 77%, with just 10% quote matches and 0% reasoning matches. Extraction accuracy did not differ by data types. Elicit also helped identify eight (<1%) errors in the gold standard data. Our results show that Elicit can complement, but not replace, human data extractors. Elicit may be best used for sanity checks and to evaluate the clarity of data extraction protocols. Prompts must be fine-tuned and independently validated.
To evaluate the efficacy and safety of stellate ganglion block for persistent and refractory sensorineural olfactory dysfunction.
Methods
A systematic search of PubMed, Scopus, Embase, Web of Science, Google Scholar and the Cochrane Library was conducted for studies published before December 2025. Eligible studies assessed subjective and/or objective olfactory outcomes before and after stellate ganglion block and, when available, compared stellate ganglion block with placebo or no treatment.
Results
Nine studies involving 441 participants were included. Stellate ganglion block was associated with greater improvements in olfactory composite, identification and subjective scores than controls, but between-group differences were not statistically significant. Subjective and objective improvement rates following stellate ganglion block were 68.9 and 63.4 per cent, respectively. No major adverse events were reported.
Conclusion
Stellate ganglion block appears safe and may provide modest olfactory improvement, but its superiority over control treatments remains unproven, warranting further randomised controlled trials.
People with schizophrenia spectrum disorders (SSDs) experience high rates of obesity and metabolic dysfunction, contributing substantially to excess morbidity and mortality. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) such as semaglutide and tirzepatide have demonstrated substantial efficacy for weight and glycaemic outcomes in the general population, but evidence in people with SSDs remains limited.
Aims
To synthesise all placebo-controlled, randomised controlled trials (RCTs) examining semaglutide and/or tirzepatide in people with SSDs.
Method
A preregistered systematic review and meta-analysis of RCTs examining the efficacy and safety of semaglutide and/or tirzepatide in adults with SSDs was conducted. Outcomes and adverse events were pooled using random-effects meta-analysis. Certainty of evidence was assessed using the GRADE criteria.
Results
Three trials (n = 258) met inclusion criteria, examining semaglutide dosages of 1.0–2.0 mg over 26–36 weeks. No trials examining tirzepatide were found. Semaglutide significantly reduced body weight (−11.32 kg; 95% CI −15.35 to −7.29), body mass index (−3.58 kg/m2; 95% CI −4.86 to −2.30), haemoglobin A1c (−0.37%; 95% CI −0.51 to −0.22) and fasting glucose (−0.54 mmol/L; 95% CI −0.94 to −0.13). In adverse event analyses, semaglutide was associated with increased risks of abdominal pain (risk ratio 2.93; 95% CI 1.13–7.60), vomiting (risk ratio 2.57; 95% CI 1.39–4.77) and constipation (risk ratio 3.23; 95% CI 1.14–9.18). There was no evidence of increased risk of serious adverse events.
Conclusions
Semaglutide produces clinically meaningful improvements in weight and glycaemic outcomes in people with SSDs, with an adverse event profile consistent with known gastrointestinal effects of GLP-1 RAs in the general population. These findings support semaglutide as a promising adjunctive metabolic intervention in this population, although larger and longer trials, specifically those testing tirzepatide, are needed to better characterise heterogeneity of effects and long-term safety of these promising pharmacological treatments.
Anxiety disorders are associated with disrupted amygdala connectivity; however, resting-state functional MRI studies have reported heterogeneous findings. To clarify these inconsistencies, we conducted a meta-analysis of amygdala-based connectivity studies.
Methods
A systematic search of Embase, PubMed, and Web of Science was performed through December 26, 2025. Studies comparing amygdala-based whole-brain resting-state functional connectivity in patients with anxiety disorders versus healthy controls were included. Meta-analysis was conducted with the latest software – Seed-based d Mapping with Permutation of Subject Images (SDM-PSI), which employs voxel-wise tests and multiple corrections to minimize false positives. Subgroup analyses were performed to examine differences by age and hemisphere.
Results
Fifteen datasets (378 patients, 405 controls) were included. Compared to healthy controls, patients with anxiety disorders had decreased amygdala-anterior cingulate cortex (ACC, g = −0.54, 95% confidence interval [CI]: −0.73 to −0.35) connectivity and increased connectivity with the left superior temporal gyrus (g = 0.46, 95% CI: 0.27–0.65), middle temporal gyrus (g = 0.38, 95% CI: 0.19–0.57), and cuneus (g = 0.35, 95% CI: 0.17–0.53). After threshold-free cluster enhancement correction, only reduced amygdala-ACC connectivity remained significant (g = −0.54, 95% CI: −0.73 to −0.35). Subgroup analyses confirmed this effect was driven mainly by adult patients and the left amygdala.
Conclusions
Reduced connectivity between the left amygdala and the ipsilateral ACC was the most robust neuroimaging marker of anxiety disorders, which suggests a lateralized vulnerability. By applying updated analytic methods, this study refines our understanding of the neuropathology of anxiety disorders and provides a potential primary target for biomarker development and novel interventions.
The chapter addresses: 1. Overview of Design Principles. 2. Principles to Motivate Learners to Exert Effort to Learn. 3. Principles to Help Learners Focus on Relevant Information. 4. Principles to Help Learners Manage the Flow of Relevant Information. 5. Principles to Help Learners Build Connections Between Corresponding Verbal and Visual Information. 6. Principles to Help Learners Actively Make Sense of Incoming Information. 7. Future Directions