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.

There is a high prevalence of depression among refugee youth in low- and middle-income countries, yet depression trajectories are understudied. This study examined depression trajectories, and factors associated with trajectories, among urban refugee youth in Kampala, Uganda.

We conducted a longitudinal cohort study with refugee youth aged 16–24 in Kampala, Uganda. We assessed depression using the Patient Health Questionnaire-9 and conducted latent class growth analysis (LCGA) to identify depression trajectories. Sociodemographic and socioecological factors were examined as predictors of trajectory clusters using multivariable logistic regression.

Data were collected from n = 164 participants (n = 89 cisgender women, n = 73 cisgender men, n = 2 transgender persons; mean age: 19.9, standard deviation: 2.5 at seven timepoints; n = 1,116 observations). Two distinct trajectory clusters were identified: “sustained low depression level” (n = 803, 71.9%) and “sustained high depression level” (n = 313, 28.1%). Sociodemographic (older age, gender [cisgender women vs. cisgender men], longer time in Uganda), and socioecological (structural: unemployment, food insecurity; interpersonal: parenthood, recent intimate partner violence) factors were significantly associated with the sustained high trajectory of depression.

The chronicity of depression highlights the critical need for early depression screening with urban refugee youth in Kampala. Addressing multilevel depression drivers prompts age and gender-tailored strategies and considering social determinants of health.

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.

The World Health Organization (WHO) has defined Post-COVID-19 Condition (PCC) as the onset of symptoms within three months after resolution of an acute SARS-CoV-2 infection, wherein symptoms persist for at least two months and cannot be explained by another medical/psychiatric condition. Persons living with PCC report debilitating symptoms including, but not limited to, depressive symptoms and motivational deficits. The aim of this post-hoc analysis was to evaluate the association between depressive symptoms and motivation in adults with PCC.

We conducted a post-hoc analysis of an 8-week, double-blind, randomized, placebo-controlled trial evaluating adults (18 years or older) in Canada with WHO-defined PCC and cognitive symptoms. This post-hoc analysis is comprised of baseline data that evaluates the association between depressive symptom severity measured by the 16-item Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR-16) and motivational systems measured by the Behavioral Inhibition System/Behavioral Activation System Questionnaire (BIS/BAS).

There was a statistically significant association between depressive symptoms and BIS (β = -0.041 95% CI [-0.066, -0.016], p<0.05), BAS reward responsiveness (β = 0.043 95% CI [0.012, 0.074], p<0.05), sex (β = -0.137 95% CI [-0.266, -0.008], p<0.05), and confirmed COVID-19 infection (β = 0.196 95% CI [0.061, 0.332], p<0.05).

Depressive symptoms were associated with motivational deficits in persons living with PCC. Optimizing treatment for depressive symptoms may potentially improve aspects of motivational impairment amongst persons with PCC. All patients presenting with MDD and a history of COVID-19 infection should be assessed for the presence of PCC.

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.

Suicide accounts for a proportion of the early mortality in people affected by psychotic disorders. The early phase of illness can represent a particularly high-risk time for suicide. Therefore, in a cohort of young people presenting with first-episode psychosis, this study aimed to determine: (i) the prevalence of suicidal ideation, intent with plan and self-harm and any associated demographic or clinical factors and (ii) the prevalence of depressive symptoms and any associated demographic or clinical factors.

Young people with a first episode of psychosis attending the Early Psychosis Prevention and Intervention Centre in Melbourne were included. Suicidal behaviours were recorded using a structured risk assessment – ‘Clinical Risk Assessment and Management in the Community’, and depressive symptoms were measured using the PHQ-9.

A total of 355 young people were included in the study. 57.2% were male, 95.4% were single and over one quarter were migrants. At the time of presentation, 34.6% had suicidal ideation, 6.2% had suicidal intent with a plan, and 21.4% had engaged in self-harm before their presentation. Combined, 39.7% (n = 141) presented with suicidal ideation, intent with plan or self-harm. A total of 71.5% (n = 118) had moderately severe or severe depressive symptoms, which was strongly associated with suicidal ideation or behaviours at the time of presentation (OR = 4.21, 95% C.I. 2.10–8.44).

Depressive symptoms, self-harm and suicidal behaviours are commonly present in the early phases of a psychotic disorder, which has important clinical implications for assessment and management.

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.

Evidence is largely limited regarding the extent to which abnormal behavioural profiles, including physical inactivity, sedentary behaviour and inadequate sleep duration, impact long-term health conditions in individuals with pre-existing depression.

To investigate the associations between accelerometer-derived daily movement behaviours and mortality in individuals with pre-existing depression.

Between 2013 and 2015, a total of 10 914 individuals with pre-existing depression were identified from the UK Biobank through multiple sources including self-reported symptoms, records of antidepressant usage and diagnostic recording based on the 10th Revision of the International Classification of Diseases (ICD-10) codes F32–F33. These participants were subsequently followed up until 2021. Wrist-worn accelerometers were used for objective measurement of sleep duration, sedentary behaviour, moderate-to-vigorous physical activity (MVPA) and light physical activity (LPA) over a span of seven consecutive days.

During a median follow-up of 6.9 years, 434 deaths occurred among individuals with pre-existing depression. We observed a U-shaped association between sleep duration and mortality in individuals with pre-existing depression, with the lowest risk occurring at approximately 9 h/day. Both MVPA and LPA exhibited an L-shaped pattern in relation to mortality, indicating that engaging in higher levels of physical activity was associated with lower risk of mortality in individuals with pre-existing depression, but the beneficial effect reached a plateau after 50 min/day for MVPA and 350 min/day for LPA. We found a positive association between sedentary time and mortality, and the risk apparently increased above 8 h/day. Moreover, substituting 1 hour/day of sedentary time with LPA or MVPA was significantly associated with a 12% (hazard ratio: 0.88, 95% CI: 0.83–0.94) and 24% (hazard ratio: 0.76, 95% CI: 0.61–0.94) lower risk of mortality, respectively.

Our study found the beneficial effect of adequate sleep duration, high levels of physical activity and short sedentary time on risk of mortality among individuals with pre-existing depression.

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.

Childhood sexual abuse (CSA) and emotional maltreatment are salient risk factors for the development of major depressive disorder (MDD) in women. However, the type- and timing-specific effects of emotional maltreatment experienced during adolescence on future depressive symptomatology in women with CSA have not been explored. The goal of this study was to fill this gap.

In total, 203 women (ages 20–32) with current depressive symptoms and CSA (MDD/CSA), remitted depressive symptoms and CSA (rMDD/CSA), and current depressive symptoms without CSA (MDD/no CSA) were recruited from the community and completed self-report measures. Depressive symptoms were assessed using the Beck Depression Inventory (BDI-II) and a detailed maltreatment history was collected using the Maltreatment and Abuse Chronology of Exposure (MACE). Differences in maltreatment exposure characteristics, including multiplicity and severity of maltreatment, as well as the chronologies of emotional maltreatment subtypes were compared among groups. A random forest machine-learning algorithm was utilized to assess the impact of exposure to emotional maltreatment subtypes at specific ages on current depressive symptoms.

MDD/CSA women reported greater prevalence and severity of emotional maltreatment relative to rMDD/CSA and MDD/no CSA women [F(2,196) = 9.33, p < 0.001], specifically from ages 12 to 18. The strongest predictor of current depressive symptoms was parental verbal abuse at age 18 for both MDD/CSA women (variable importance [VI] = 1.08, p = 0.006) and MDD/no CSA women (VI = 0.68, p = 0.004).

Targeting emotional maltreatment during late adolescence might prove beneficial for future intervention efforts for MDD following CSA.

Severe fatigue and cognitive complaints are frequently reported after SARS-CoV-2 infection and may be accompanied by depressive symptoms and/or limitations in physical functioning. The long-term sequelae of COVID-19 may be influenced by biomedical, psychological, and social factors, the interplay of which is largely understudied over time. We aimed to investigate how the interplay of these factors contribute to the persistence of symptoms after COVID-19.

RECoVERED, a prospective cohort study in Amsterdam, the Netherlands, enrolled participants aged⩾16 years after SARS-CoV-2 diagnosis. We used a structural network analysis to assess relationships between biomedical (initial COVID-19 severity, inflammation markers), psychological (illness perceptions, coping, resilience), and social factors (loneliness, negative life events) and persistent symptoms 24 months after initial disease (severe fatigue, difficulty concentrating, depressive symptoms and limitations in physical functioning). Causal discovery, an explorative data-driven approach testing all possible associations and retaining the most likely model, was performed.

Data from 235/303 participants (77.6%) who completed the month 24 study visit were analysed. The structural model revealed associations between the putative factors and outcomes. The outcomes clustered together with severe fatigue as its central point. Loneliness, fear avoidance in response to symptoms, and illness perceptions were directly linked to the outcomes. Biological (inflammatory markers) and clinical (severity of initial illness) variables were connected to the outcomes only via psychological or social variables.

Our findings support a model where biomedical, psychological, and social factors contribute to the development of long-term sequelae of SARS-CoV-2 infection.