A growing number of studies among adolescents have reported early maladaptive schemas (EMS) to associate with anxiety and depression within non-clinical samples. However, there is a gap of knowledge concerning clinical populations.

The current study’s aim was to explore the potential association between EMS domains and anxiety and depressive symptoms within clinical sample of adolescents.

The current study included 176 adolescent psychiatry out-patients. The EMS domains were measured with the Young Schema Questionnaire-Short Form 2-Extended (YSQ). Their association with anxiety symptoms (the Overall Anxiety Severity and Impairment Scale) and depressive symptoms (the Beck Depression Inventory II) were analysed with general linear models while controlling for significant confounding factors.

Depressive symptoms were associated with three of the four EMS domains: Disconnection and Rejection (η2p=0.047, p=0.005), Impaired Autonomy and Performance (η2p=0.074, p<0.001), and Impaired Limits (η2p=0.053, p=0.003). Anxiety symptoms were associated with two EMS domains: Impaired Autonomy and Performance (η2p=0.046, p=0.005) and Excessive Responsibility and Standards (η2p=0.054, p=0.002).

Various EMS domains were associated with depressive and anxiety symptoms among adolescent out-patients. Further studies are needed on the effect of EMSs on the treatment outcomes for depression and anxiety.

England's primary care service for psychological therapy (Improving Access to Psychological Therapies [IAPT]) treats anxiety and depression, with a target recovery rate of 50%. Identifying the characteristics of patients who achieve recovery may assist in optimizing future treatment. This naturalistic cohort study investigated pre-therapy characteristics as predictors of recovery and improvement after IAPT therapy.

In a cohort of patients attending an IAPT service in South London, we recruited 263 participants and conducted a baseline interview to gather extensive pre-therapy characteristics. Bayesian prediction models and variable selection were used to identify baseline variables prognostic of good clinical outcomes. Recovery (primary outcome) was defined using (IAPT) service-defined score thresholds for both depression (Patient Health Questionnaire [PHQ-9]) and anxiety (Generalized Anxiety Disorder [GAD-7]). Depression and anxiety outcomes were also evaluated as standalone (PHQ-9/GAD-7) scores after therapy. Prediction model performance metrics were estimated using cross-validation.

Predictor variables explained 26% (recovery), 37% (depression), and 31% (anxiety) of the variance in outcomes, respectively. Variables prognostic of recovery were lower pre-treatment depression severity and not meeting criteria for obsessive compulsive disorder. Post-therapy depression and anxiety severity scores were predicted by lower symptom severity and higher ratings of health-related quality of life (EuroQol questionnaire [EQ5D]) at baseline.

Almost a third of the variance in clinical outcomes was explained by pre-treatment symptom severity scores. These constructs benefit from being rapidly accessible in healthcare services. If replicated in external samples, the early identification of patients who are less likely to recover may facilitate earlier triage to alternative interventions.

Implementation of video call-based cognitive behavioural therapy (CBT) has increased significantly since the COVID-19 pandemic, enabling more flexible delivery, but less is known about user experience and effectiveness. This systematic review and meta-analysis investigated feasibility, acceptability, and effectiveness of individual video call-based CBT for adults with mild to moderate mental health conditions (Prospero CRD42021291055). Medline, Embase, PsycINFO and Web of Science were searched until 4 September 2023. The Effective Public Health Practice Project Quality Assessment Tool (EPHPP) assessed methodological quality of studies. Meta-analysis was conducted in R. Thirty studies (n=3275), published 2000 to 2022, mainly in the USA (n=22/30, 73%), were included. There were 15 randomised control trials, one controlled clinical trial, and 14 uncontrolled studies. Findings indicated feasibility, acceptability and effectiveness (effect size range 0.02–8.30), especially in post-traumatic stress disorder (PTSD) for military populations. Other studies investigated depression, obsessive-compulsive disorder, panic with agoraphobia, insomnia, and anxiety. Studies indicated that initial challenges with video call-based CBT subsided as therapy progressed and technical difficulties were managed with limited impact on care. EPHPP ratings were strong (n=12/30, 40%), moderate (n=12/30, 40%), and weak (n=6/30, 20%). Meta-analysis on 12 studies indicated that the difference in effectiveness of video call-based CBT and in-person CBT in reducing symptoms was not significant (SMD=0.044; CI=–0.086; 0.174). Video calls could increase access to CBT without diminishing effectiveness. Limitations include high prevalence of PTSD studies, lack of standardised definitions, and limited studies, especially those since the COVID-19 pandemic escalated use of video calls.

1. (1) This review assesses feasibility, acceptability, and effectiveness of individual video call-based CBT for adults with mild to moderate common mental health conditions, as defined by the ICD-11.

2. (2) Secondary aims were to assess if the therapeutic relationship is affected and identify any potential training needs in delivering video call-based CBT.

3. (3) The adjunct meta-analysis quantitatively explored whether video call-based CBT is as effective as in-person interventions in symptom reduction on primary outcome measures by pooling estimates for studies that compare these treatment conditions.

The relationship between adolescent alcohol use and emotional problems remains unclear and contradictory. These inconsistencies may in part be due to differences in the measurement and operationalization of alcohol use and emotional problems across studies, as well as confounder selection and missing data decisions. This study explores the associations between common specifications of adolescent alcohol use and emotional problems in a large sample of adolescents.

A multiverse analysis (also known as specification curve analysis or vibration of effects) was done with 7680 unique model specifications in a large longitudinal sample of 6639 Australian adolescents (aged ~14.7–15.7, 2021–2022).

While alcohol use and emotional problems nearly universally co-occurred in minimally adjusted cross-sectional models (98–99%), the operationalization of emotional problems, temporality of prospective relationships, and choice of confounders substantially impacted findings. Emotional problems appeared to predict later alcohol use more-so than the reverse, depression-focused measures yielded more consistent associations with alcohol use than anxiety-focused measures, and certain confounders (i.e. conduct, ADHD, smoking) explained most of the associations between adolescent alcohol use and emotional problems. Missing data decisions and whether outcomes were modelled continuously v. dichotomously had minimal impact on findings.

While adolescent alcohol use and emotional problems commonly co-occur, inconsistencies in the magnitude, direction, and significance of effects are closely tied to researcher decisions that are often made arbitrarily.

Among those with common mental health disorders (e.g. mood, anxiety, and stress disorders), comorbidity of substance and other addictive disorders is prevalent. To simplify the seemingly complex relationships underlying such comorbidity, methods that include multiple measures to distill which specific addictions are uniquely associated with specific mental health disorders rather than due to the co-occurrence of other related addictions or mental health disorders can be used.

In a general population sample of Jewish adults in Israel (N = 4002), network analysis methods were used to create partial correlation networks of continuous measures of problematic substance (non-medical use of alcohol, tobacco, cannabis, and prescription sedatives, stimulants, and opioid painkillers) and behavioral (gambling, electronic gaming, sexual behavior, pornography, internet, social media, and smartphone) addictions and common mental health problems (depression, anxiety, and post-traumatic stress disorder [PTSD]), adjusted for all variables in the model.

Strongest associations were observed within these clusters: (1) PTSD, anxiety, and depression; (2) problematic substance use and gambling; (3) technology-based addictive behaviors; and (4) problematic sexual behavior and pornography. In terms of comorbidity, the strongest unique associations were observed for PTSD and problematic technology-based behaviors (social media, smartphone), and sedatives and stimulants use; depression and problematic technology-based behaviors (gaming, internet) and sedatives and cannabis use; and anxiety and problematic smartphone use.

Network analysis isolated unique relationships underlying the observed comorbidity between common mental health problems and addictions, such as associations between mental health problems and technology-based behaviors, which is informative for more focused interventions.

Most evidence on associations between child maltreatment and subsequent common mental disorders (CMDs) comes from retrospective studies. Such findings may be affected by recall bias. Prospective studies of reports to statutory agencies are less common and may be subject to attrition bias.

To examine the associations of child maltreatment with emergency department presentations and in-patient admissions for CMDs in individuals up to 40 years old.

Queensland-wide administrative health data were linked to a prospective birth cohort, including agency-reported and substantiated notifications of child maltreatment. Outcomes were emergency department presentations and in-patient admissions for CMDs.

There were 6087 participants, of which 10.1% had been the subject of a child maltreatment notification. Admissions for CMDs occurred in 198 participants (3.3%) and emergency department presentations in 291 (4.8%). In the adjusted analysis, substantiated child maltreatment was associated with both admissions (odds ratio 1.92; 95% CI = 1.19–3.00) and emergency department presentations (odds ratio 2.10; 95% CI = 1.45–3.03). All agency-reported and substantiated child maltreatment subtypes (neglect, physical, sexual and emotional abuse) were associated with emergency department presentations for CMDs and notifications for more than one child maltreatment subtype. In the subgroup analysis, child maltreatment was associated with emergency department presentations for both anxiety (odds ratio 2.73; 95% CI = 1.68–4.43) and depression (odds ratio 2.23; 95% CI = 1.62–3.26) but with admissions only for depression (odds ratio 2.10; 95% CI = 1.15–3.84).

Child maltreatment is associated with both emergency department presentations and hospital admissions for CMDs in individuals up to 40 years old. Screening for child maltreatment in people presenting to hospital with CMDs may be indicated, as well as a greater awareness that survivors of child maltreatment may be at higher risk of developing such symptoms.

The COVID-19 pandemic posed an unprecedented global challenge, with past evidence suggesting negative psychological effects with the additional concern that social and physical restrictions might disproportionately affect adolescents.

To explore mental health and its wider determinants in young people in the UK during 1 year of the COVID-19 pandemic (August 2020–August 2021).

A representative sample of 11 898 participants (48.7% female) aged between 13 and 19 years (mean = 16.1) participated in five waves of data collection. Using validated self-reported questionnaires for loneliness, anxiety and depression, this survey measured the extent and nature of the mental health impacts of the coronavirus pandemic and help-seeking behaviours, and changes over time.

Young people experienced higher levels of anxiety during the summer and fall 2020, followed by higher levels of depression during the winter 2020–2021, with loneliness gradually increasing then peaking during the spring and summer of 2021. Young people who were older, female, with pre-existing mental-health issues and experiencing financial difficulties were at higher risk of anxiety, depression and loneliness. Help-seeking behaviours reduced the risk of depression and loneliness.

The COVID-19 pandemic had substantial impact on young people, whether on their mental health, their social contacts and interactions or their perspective on what the future holds for them. Young people strongly advocated for better teacher training, and a better integration of mental health services, particularly within their schools.

The enduring impact of the COVID-19 pandemic on mental health and its implications for COVID-19 vaccine uptake necessitate comprehensive investigation. We aimed to characterize the persistence of moderate to severe anxiety and depression symptoms from July 2020 to July 2023, explore demographic associations with symptom persistence, and assess how these symptoms affected COVID-19 vaccination uptake between May 2021 and July 2023.

Participants from the national community-based CHASING COVID Cohort were enrolled between March and June 2020 and completed quarterly follow-ups until December 2023. Scores ≥10 on the Generalized Anxiety Disorder 7-item and the Patient Health Questionnaire 8-item at 14 follow-up assessments indicated moderate to severe anxiety and depression symptoms, respectively. Missing scores were imputed. Persistent anxiety and depression were defined as experiencing moderate to severe anxiety and depression symptoms ≥7 out of 14 follow-up assessments, respectively.

Among 4,851 participants, 15.9% experienced persistent anxiety symptoms and 19.3% persistent depression symptoms from July 2020 to July 2023. Demographic factors associated with symptom persistence included younger age, female or non-binary gender, Hispanic ethnicity, lower education level, household income <$100k, presence of children <18 in the household, greater healthcare barriers and comorbidities. Participants with ongoing moderate to severe anxiety and depression symptoms had 0.95 (95% CI: 0.94, 0.97) and 0.95 (95% CI: 0.93, 0.96) times rates of receiving additional COVID-19 vaccine doses between May 2021 and July 2023, respectively.

Customized support for individuals with mental disorders may mitigate barriers to vaccine uptake. Further investigation is warranted to validate these findings and inform targeted interventions.

Individuals with major depressive disorder (MDD) can experience reduced motivation and cognitive function, leading to challenges with goal-directed behavior. When selecting goals, people maximize ‘expected value’ by selecting actions that maximize potential reward while minimizing associated costs, including effort ‘costs’ and the opportunity cost of time. In MDD, differential weighing of costs and benefits are theorized mechanisms underlying changes in goal-directed cognition and may contribute to symptom heterogeneity.

We used the Effort Foraging Task to quantify cognitive and physical effort costs, and patch leaving thresholds in low effort conditions (reflecting perceived opportunity cost of time) and investigated their shared versus distinct relationships to clinical features in participants with MDD (N = 52, 43 in-episode) and comparisons (N = 27).

Contrary to our predictions, none of the decision-making measures differed with MDD diagnosis. However, each of the measures was related to symptom severity, over and above effects of ability (i.e. performance). Greater anxiety symptoms were selectively associated with lower cognitive effort cost (i.e. greater willingness to exert effort). Anhedonia and behavioral apathy were associated with increased physical effort costs. Finally, greater overall depression was related to decreased patch leaving thresholds.

Markers of effort-based decision-making may inform understanding of MDD heterogeneity. Increased willingness to exert cognitive effort may contribute to anxiety symptoms such as worry. Decreased leaving threshold associations with symptom severity are consistent with reward rate-based accounts of reduced vigor in MDD. Future research should address subtypes of depression with or without anxiety, which may relate differentially to cognitive effort decisions.

Bipolar disorder (BD) has a significant impact on functioning in the absence of acute mood episodes. This has been associated with subsyndromal symptoms, co-morbidities, and emotional dysregulation. The present study aims to evaluate the acceptability and preliminary efficacy of imagery-based cognitive therapy (ImCT) in a French community setting. We were particularly interested in the link between mental imagery and emotional dysregulation as this may clarify the mechanisms involved in the potential efficacy of the therapy and ultimately improve its relevance.

Ten participants underwent ImCT, with weekly assessments of mood fluctuations, anxiety, and emotional dysregulation conducted over 1 month (i.e. pre-therapy, post-therapy and 1-month follow-up). Recovery, post-traumatic stress symptoms and self-compassion were measured at baseline and post-therapy. Attrition rates and satisfaction were measured.

All participants who completed therapy (n=8) reported high levels of satisfaction. Five of them showed reliable individual improvement on emotion dysregulation scores. At the group level, a significant decrease in mood fluctuation with a large effect size was found post-therapy.

ImCT showed good acceptability among participants who completed the study. Importantly, our study is the first to provide an indication that ImCT may alleviate subsyndromal mood symptoms but also emotional dysregulation in individuals with BD. This latter finding is particularly relevant given the scarcity of validated psychosocial interventions targeting emotional dysregulation in BD.

Women with polycystic ovary syndrome (PCOS) experience higher rates of depression and anxiety. There is limited research relating to perinatal mental health in women with PCOS. Studies suggest PCOS is associated with a higher prevalence of perinatal mental health disorders. Perinatal guidelines currently do not recognise PCOS as a risk factor for perinatal mental health disorders. We aimed to prospectively assess the prevalence of mental health disorders in pregnant women with PCOS.

Consenting pregnant women, with and without PCOS, were invited to participate. Standardised validated questionnaires were carried out including Generalised Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9) and Edinburgh Postnatal Depression Scale (EPDS).

Fifty-one with PCOS and 49 without PCOS responded. Pregnant women with PCOS had a higher mean (SD) anxiety score (GAD-7) than those without PCOS (8.2 [6.7] vs. 5.89 [4.7], p = 0.04). Pregnant women with PCOS had higher mean (SD) depression scores than those without PCOS on EPDS (9.1 [6.4] vs. 6.4 [4.5], p = 0.02) but not PHQ-9 score (median (IQR) 4 (3–9) vs. 4 (2–7.5), p = 0.25). Women with PCOS were more likely to experience moderate/severe anxiety (PCOS 34%, control 20%) and moderate/severe depression (PCOS 34%, control 20%) symptoms than women without PCOS. Twenty-nine percent of pregnant women with PCOS had an EPDS score >13 showing significantly higher rates of severe depression (PCOS 29%, control 12%, p = 0.03).

Our findings suggest a higher prevalence of perinatal depression and anxiety in women with PCOS. Our findings may suggest increased need for screening for mental health disorders in women with PCOS.