Delphi studies allow for the generaztion of a consensus among experts. This has historically been professional experts in their field. This study aimed to obtain a consensus regarding the most important components of cognitive behavioural therapy (CBT) for depression not only for professional experts (therapists) but also for adult experts by experience. Perceptions of importance between therapists and experts by experience differed in multiple areas including content components such as behavioural activation and experiments, psychoeducation, and homework, which the latter did not agree were important. Experts by experience found several components relating to delivery process important which therapists did not, such as delivery method and session length. The strongest agreement from both groups involved the importance of positive therapist factors such as being non-judgemental, knowledgeable, understanding, and trustworthy. Both groups were in agreement on the importance of cognitive restructuring. Neither experts by experience nor therapists met consensus agreement on the inclusion of mindfulness as part of a wider CBT intervention for depression, being rated among the lowest components for both groups. Findings highlight several aspects of CBT content and delivery which may benefit from review in order to increase acceptability for recipients.

1. (1) To identify what recipients and deliverers feel are the most important parts of a CBT intervention for depression.

2. (2) To compare these responses, and consider reasons why these similarities and differences may exist.

3. (3) To discuss ways in which these differences could impact acceptability and perceived efficacy of cognitive behavioural therapy.

4. (4) To reflect on ways gained knowledge could be used to consider ways to improve the delivery of cognitive behavioural therapy.

As the use of guided digitally-delivered cognitive-behavioral therapy (GdCBT) grows, pragmatic analytic tools are needed to evaluate coaches’ implementation fidelity.

We evaluated how natural language processing (NLP) and machine learning (ML) methods might automate the monitoring of coaches’ implementation fidelity to GdCBT delivered as part of a randomized controlled trial.

Coaches served as guides to 6-month GdCBT with 3,381 assigned users with or at risk for anxiety, depression, or eating disorders. CBT-trained and supervised human coders used a rubric to rate the implementation fidelity of 13,529 coach-to-user messages. NLP methods abstracted data from text-based coach-to-user messages, and 11 ML models predicting coach implementation fidelity were evaluated.

Inter-rater agreement by human coders was excellent (intra-class correlation coefficient = .980–.992). Coaches achieved behavioral targets at the start of the GdCBT and maintained strong fidelity throughout most subsequent messages. Coaches also avoided prohibited actions (e.g. reinforcing users’ avoidance). Sentiment analyses generally indicated a higher frequency of coach-delivered positive than negative sentiment words and predicted coach implementation fidelity with acceptable performance metrics (e.g. area under the receiver operating characteristic curve [AUC] = 74.48%). The final best-performing ML algorithms that included a more comprehensive set of NLP features performed well (e.g. AUC = 76.06%).

NLP and ML tools could help clinical supervisors automate monitoring of coaches’ implementation fidelity to GdCBT. These tools could maximize allocation of scarce resources by reducing the personnel time needed to measure fidelity, potentially freeing up more time for high-quality clinical care.

Social anhedonia, indicating reduced pleasure from social interaction, is heightened in autistic youth and associated with increased internalizing symptoms transdiagnostically. The stability of social anhedonia over time and its longitudinal impact on internalizing symptoms in autism have never been examined.

Participants were 276 autistic children (Mage = 8.60, SDage = 1.65; 211 male) with IQ ≥ 60 (MIQ = 96.74, SDIQ = 18.19). Autism severity was measured using the Autism Diagnostic Observation Schedule, Second Edition. Caregivers completed the Child and Adolescent Symptom Inventory, Fifth Edition (CASI-5) at baseline, 6 weeks, and 6 months. The CASI-5 includes a social anhedonia subscale derived from relevant items across domains. ICC (Intraclass Correlation Coefficient) analysis assessed stability, while cross-lagged panel models examined associations among social anhedonia, depression, and social anxiety across time.

At baseline, social anhedonia correlated with autism severity, as well as parent-reported social anxiety and depression. Social anhedonia showed relative stability (ICC = 0.763) over 6 months, with a significant decline between baseline and 6 weeks (β = −0.52, p < .001). Cross-lagged models revealed a bidirectional relationship between social anhedonia and depression over time, while social anxiety displayed concurrent, but not predictive, associations across time.

Social anhedonia demonstrated stability over 6 months, suggesting that it may be a relatively stable characteristic in autistic children. Concurrent relationships were observed between social anhedonia and depression, as well as social anxiety and attention-deficit/hyperactivity disorder. Only depression demonstrated a bidirectional longitudinal association with social anhedonia. This bidirectional relationship aligns with developmental models linking early negative social experiences to subsequent internalizing symptoms in autistic children, underscoring the clinical significance of social anhedonia assessment in this population.

Late-life affective disorders (LLADs) are common and are projected to increase by 2050. There have been several studies linking late-life depression to an increased risk of dementia, but it is unclear if bipolar affective disorder or anxiety disorders pose a similar risk.

We aimed to compare the risk of LLADs progressing to all-cause dementia, and the demographic and clinical variables mediating the risk.

We used the South London and Maudsley National Health Service Foundation Trust Clinical Records Interactive Search system to identify patients aged 60 years or older with a diagnosis of any affective disorder. Cox proportional hazard models were used to determine differences in dementia risk between late-life anxiety disorders versus late-life depression, and late-life bipolar disorder versus late-life depression. Demographic and clinical characteristics associated with the risk of dementia were investigated.

Some 5695 patients were identified and included in the final analysis. Of these, 388 had a diagnosis of bipolar affective disorder, 1365 had a diagnosis of an anxiety disorder and 3942 had a diagnosis of a depressive disorder. Bipolar affective disorder was associated with a lower hazard of developing dementia compared to depression (adjusted model including demographics and baseline cognition, hazard ratio: 0.60; 95% CI: 0.41–0.87). Anxiety disorders had a similar hazard of developing dementia (adjusted hazard ratio: 1.05; 95% CI: 0.90–1.22). A prior history of a depressive disorder reduced the risk of late-life depression progressing to dementia – suggesting the new onset of a depressive disorder in later life is associated with higher risk – but a prior history of anxiety disorders or bipolar affective disorder did not alter risk.

LLADs have a differential risk of developing all-cause dementia, with demographic- and illness-related factors influencing the risk. Further prospective cohort studies are needed to explore the link between LLADs and dementia development, and mediators of the lower risk of dementia associated with late-life bipolar disorder compared to late-life depression.

Preexisting epidemiological studies suggest that early pubertal development in males is associated with externalizing (e.g. conduct problems, risky behavior, and aggression) and internalizing (e.g. depression and anxiety) traits and disorders. However, due to problems inherent to observational studies, especially of residual confounding, it remains unclear whether these associations are causal. Mendelian randomization (MR) studies take advantage of the random allocation of genes at conception and can establish causal relationships.

In this study, N = 76 independent genetic variants for male puberty timing (MPT) were derived from a large genome-wide association study (GWAS) on 205,354 participants and used as an instrumental variable in MR studies on 17 externalizing and internalizing traits and psychopathologies utilizing outcome GWAS with 16,400–1,045,957 participants.

In these MR studies, earlier MPT was significantly associated with higher scores for the overarching phenotype of ‘Externalizing Traits’ (b = −0.03, 95% CI [−0.06, −0.01]). However, this effect was likely driven by an earlier age at first sexual contact (b = −0.17, 95% CI [−0.21, −0.13]), without evidence for an effect on further externalizing phenotypes. Regarding internalizing phenotypes, earlier MPT was associated with higher levels of the ‘Depressed Affect’ subdomain of neuroticism (b = −0.04, 95% CI [−0.07, −0.01]). Late MPT was related to higher scores of internalizing traits in early life (b = 0.04, 95% CI [0.01, 0.08]).

This comprehensive MR study supports a causal effect of MPT on specific traits and behaviors. However, no evidence for an effect of MPT on long-term clinical outcomes (depression, anxiety disorders, alcohol dependency, cannabis abuse) was found.

Mental health problems in adolescence are increasingly prevalent and have tremendous impacts on life-long health and mortality. Although household poverty is a known risk factor for adolescent mental health, evidence of the timing hypothesis is scarce. We aimed to examine the longitudinal associations of poverty across childhood with mental health in adolescence, focusing on the timing of exposure.

We used the data of 5,671 children from a Japanese population-based longitudinal cohort, which recruited the first graders (aged 6–7 years) and followed biannually until eighth grade (aged 13–14 years) in Adachi, Tokyo. Household poverty was defined as households having any of the following experiences: annual income less than Japanese yen 3 million, payment difficulties and material deprivations, measured in first, second, fourth, sixth and eighth grades. Adolescent mental health included parent-report internalizing and externalizing problems (the Strengths and Difficulties Questionnaire), self-report depression (the Patient Health Questionnaire-9) and self-esteem (the Japanese version Children’s Perceived Competence Scale) in eighth grade. We applied g-estimation of structural nested mean modelling to account for time-varying confounders.

If adolescents were exposed to household poverty at any grade across childhood, on average, they would report more severe depressive symptoms (ψ = 0.32 [95% CI 0.13; 0.51]) and lower self-esteem (ψ = −0.41 [−0.62; −0.21]) in eighth grade. There were also average associations of household poverty at any grade with more internalizing (ψ = 0.19 [0.10; 0.29]) and externalizing problems (ψ = 0.10 [0.002; 0.19]). Although the associations between household poverty and mental health were stronger in younger ages (e.g., poverty in the second grade → depression: ψ = 0.54 [−0.12; 1.19] vs. poverty in the eighth grade → depression: ψ = −0.01 [−0.66; 0.64]), overlapping 95% CIs indicated no statistically significantly different associations by the timing of exposure.

We found the average effect of exposure to household poverty at any grade on mental health outcomes in eighth grade, failing to support the timing hypothesis. The findings indicate that the effects of household poverty accumulate over time in childhood and impact adolescent mental health (cumulative hypothesis) rather than the effects differ by the timing of exposure. While cumulative effects suggest a persistent intervention in poor households across childhood, we highlight intervention at any timing in childhood may be effective in alleviating adolescent mental health problems.

In India, women in rural areas have high rates of depression. They have poor access to mental healthcare resources and, hence, mental health symptoms remain largely unaddressed. Existing mobile telephone applications (apps) do not engage end-users, lack local language options, may not be socioculturally relevant and do not use audiovisual formats. We thus developed a mobile mental health app, Multiuser Interactive Health Response Application (MITHRA), to screen and provide brief behavioural intervention for mild to moderate depression among rural women attending self-help groups (SHGs) in India.

This qualitative study explores the process and findings of focus groups conducted with SHG administrators and women to inform the iterative development of the MITHRA app.

In total, 22 participants were interviewed (17 SHG participants and five administrators), and a thematic analysis of the data was conducted using the acceptability of interventions framework.

Frequent themes across the focus groups were affective attitude, burden, self-efficacy and perceived effectiveness. All women showed a positive attitude towards the app and depression interventions, while older women demonstrated less self-efficacy in using mobile mental health apps.

MITHRA is a promising app in the management of mild to moderate depression in women in SHG. With adequate training and education of family members, MITHRA has the potential to identify and treat women with mild to moderate depression.

People with non-communicable diseases (NCDs) have a higher prevalence of comorbid depression than the general population. While previous research has shown that behavioural activation is effective for general depression, its efficacy and safety in treating depression associated with NCDs remains unclear.

To compare the efficacy and safety of behavioural activation against comparators in reducing depression symptoms in people with NCDs.

We searched six databases from inception until 30 March 2023 (updated 23 September 2024) for randomised controlled trials (RCTs) comparing behavioural activation with comparators for depression in people with NCDs. Risk of bias was assessed using the Cochrane Collaboration’s ‘risk-of-bias 2 tool’. We calculated a random-effects, inverse-variance weighting meta-analysis.

Of the 21 386 initial studies, 12 RCTs (with 2144 patients) comparing behavioural activation with any comparator on treatment outcomes for depression with comorbid NCD met the inclusion criteria. Six studies rated as low risk of bias. For short-term follow-ups (up to 6 months), meta-analysis showed behavioural activation had little effect on depression symptom improvement in people with NCDs (Hedges’ g = −0.24; 95% CI, −0.62 to 0.15), compared to comparators, with high heterogeneity (I2 = 91.91%). Of the 12 included studies, three RCTs provided data on adverse events occurring during the trial.

Evidence from this systematic review is not sufficient to draw clear conclusions about the efficacy and safety of behavioural activation for reducing depression symptoms in people with NCDs. Future reviews need to include more high-quality, well-designed RCTs to better understand the potential benefits of behavioural activation for comorbid depression.

The cumulative effects of long-term exposure to pandemic-related stressors and the severity of social restrictions may have been important determinants of mental distress in the time of COVID-19.

This study aimed to investigate mental health among a cohort of Chinese university students over a 28-month period, focusing on the effects of lockdown type.

Depression, anxiety, stress and fear of COVID-19 infection were measured ten times among 188 Chinese students (females 77.7%, meanage = 19.8, s.d.age = 0.97), every 3 months: from prior to the emergence of COVID-19 in November 2019 (T1) to March 2022 (T10).

Initially depression, anxiety and stress dipped from T1 to T2, followed by a sudden increase at T3 and a slow upward rise over the remainder of the study period (T3 to T10). When locked down at university, participants showed greater mental distress compared with both home lockdown (d = 0.35–0.48) and a no-lockdown comparison period (d = 0.28–0.40). Conversely, home lockdown was associated with less anxiety and stress (d = 0.19 and 0.21, respectively), but not with depression (d = 0.13) compared with a no-lockdown period.

This study highlights the cumulative effects of exposure to COVID-19 stressors over time. It also suggests that the way in which a lockdown is carried out can impact the well-being of those involved. Some forms of lockdown appear to pose a greater threat to mental health than others.

Depression is a growing mental health concern among university students worldwide, including in Thailand. Studies show that between 17 and 40% of Thai university students experience depressive symptoms, although these studies often focus on specific groups and use different measures.

This study aimed to investigate the prevalence and associated factors of depressive disorders among university students across Thailand.

Data were collected with the HAPPINOMETER and the Patient Health Questionnaire-9 scale as part of a nationwide cross-sectional survey. A total of 14 621 students from 33 universities participated in the survey. A series of binary logistic regression analyses were performed to examine the effect of sociodemographic characteristics and health behaviours on the presence of depression.

The results revealed that 31.4% of students experienced depressive symptoms, with 14.2% having major depressive disorder. The students who identified as non-binary had the highest odds of having depression (adjusted odds ratio 2.10, 95% CI 1.7–2.6, P < 0.001). Other specific subgroups were also found to be particularly vulnerable, including women, fourth-year students and those studying in Bangkok, without part-time jobs, living alone and engaging in risky health behaviours like smoking, heavy drinking and poor diet.

The findings underscore the need for comprehensive mental health support and targeted interventions within Thai universities, especially for at-risk subpopulations. Leveraging the existing collaborative networks among Thai universities presents a unique opportunity to mount a coordinated effort in developing and implementing comprehensive mental health strategies tailored to the needs of this vulnerable population.

To develop effective mental health interventions for children and adolescents, it is essential to understand the intricate link between functional disability and mental well-being in this group.

To explore the network connections between various aspects of functional disability and mental well-being in young people with disabilities.

We analysed data from the Multiple Indicator Cluster Surveys in 47 low- and middle-income countries, tracking progress towards health-related sustainable development goals. Our focus was on children and adolescents aged 5–17 with functional disabilities. Mental well-being was gauged using carer-reported signs of depression, anxiety and disability on the Child Functioning Module. Network-analysis techniques were used to examine links between mental well-being and functional disability domains.

The study included 32 669 eligible children aged 5–17 with functional disabilities (14 826 females and 17 843 males). The core domains of disability with the strongest connections to poor mental well-being were difficulties in accepting change, making friends, behavioural control (controlling own behaviour) and remembering/concentrating. These associations remained largely consistent across different genders and developmental stages. However, there were notable gender differences and age-related shifts in the relationships between specific disabilities and mental well-being. In particular, signs of anxiety in males and depression in females were most associated with functional disability overall, while signs of depression had the closest links to disability in adolescents.

The network perspective may enable the design of tailored interventions and support services that consider age and gender differences. Further research should continue to explore these complex relationships, incorporating novel methodologies like network-analysis to enhance the understanding of these associations.

Data from an RCT of IAPT Norway (“Prompt Mental Health Care” [PMHC]) were linked to several administrative registers up to five years following the intervention. The aims were to (1) examine the effects of PMHC compared to treatment-as-usual (TAU) on work-related outcomes and health care use, (2) estimate the cost–benefit of PMHC, and (3) examine whether clinical outcomes at six-month follow-up explained the effects of PMHC on work−/cost–benefit-related outcomes.

RCTs with parallel assignment were conducted at two PMHC sites (N = 738) during 2016/2017. Eligible participants were considered for admission due to anxiety and/or depression. We used Bayesian estimation with 90% credibility intervals (CI) and posterior probabilities (PP) of effects in favor of PMHC. Primary outcome years were 2018–2022. The cost–benefit analysis estimated the overall economic gain expressed in terms of a benefit–cost ratio and the differences in overall public sector spending.

The PMHC group was more likely than the TAU group to be in regular work without receiving welfare benefits in 2019–2022 (1.27 ≤ OR ≤ 1.43). Some evidence was found that the PMHC group spent less on health care. The benefit–cost ratio in terms of economic gain relative to intervention costs was estimated at 5.26 (90%CI $ - $1.28, 11.8). The PP of PMHC being cost-beneficial for the economy as a whole was 85.9%. The estimated difference in public sector spending was small. PMHC effects on work participation and cost–benefit were largely explained by PMHC effects on mental health.

The results support the societal economic benefit of investing in IAPT-like services.

Sustained attention is integral to goal-directed tasks in everyday life. It is a demanding and effortful process prone to failure. Deficits are particularly prevalent in mood disorders. However, conventional methods of assessment, rooted in overall measures of performance, neglect the nuanced temporal dimensions inherent in sustained attention, necessitating alternative analytical approaches.

This study investigated sustained attention deficits and temporal patterns of attentional fluctuation in a large clinical cohort of patients with bipolar depression (BPd, n = 33), bipolar euthymia (BPe, n = 84), major depression (MDd, n = 38) and controls (HC, n = 138) using a continuous performance task (CPT). Longitudinal and spectral analyses were employed to examine trial-level reaction time (RT) data.

Longitudinal analysis revealed a significant worsening of performance over time (vigilance decrement) in BPd, whilst spectral analysis unveiled attentional fluctuations concentrated in the frequency range of 0.077 Hz (1/12.90 s)–0.049 Hz (1/20.24 s), with BPd and MDd demonstrating greater spectral power compared to BPe and controls.

Although speculative, the increased variability in this frequency range may have an association with the dysfunctional activity of the Default Mode Network, which has been shown to oscillate at a similar timescale. These findings underscore the importance of considering the temporal dimensions of sustained attention and show the potential of spectral analysis of RT in future clinical research.

Selective serotonin reuptake inhibitors (SSRIs) have been associated with increased risk of osteoporosis, and sertraline may be more potent than citalopram in this regard. Here, target trial emulation was used to investigate whether sertraline, citalopram and escitalopram (the S-enantiomer of citalopram) differentially affect the risk of osteoporosis. Subsequently, it was examined whether SSRIs increase the risk of osteoporosis in a dose-response-like manner.

Danish nationwide registers were used to identify all individuals that initiated treatment for depression with sertraline, citalopram, or escitalopram between January 1, 2007, and March 1, 2019. These individuals were followed until development of osteoporosis, death, or end of follow-up. Cox proportional hazards regression was used to adjust for relevant baseline covariates to emulate randomised treatment allocation to compare the rate of osteoporosis for individuals treated with sertraline, citalopram or escitalopram. Subsequently, the cumulative dose of sertraline, citalopram, and escitalopram was calculated, and Cox proportional hazards regression was used to assess dose-response-like relationships with osteoporosis.

We identified 27,280, 65,529, and 17,703 individuals initiating treatment with sertraline, citalopram, and escitalopram, respectively. There was no material or statistically significant differential risk of osteoporosis between these groups (adjusted hazard rate ratio, aHRR = 0.98 for citalopram versus sertraline and aHRR = 0.94 for escitalopram versus sertraline). The results were not indicative of the SSRIs having a dose-response-like effect on osteoporosis risk.

Sertraline, citalopram and escitalopram do not appear to differentially affect the risk of osteoporosis. The lack of clear dose-response-like relationships suggest that they do not have a causal effect on osteoporosis risk.

Evidence indicates that the COVID-19 pandemic has led to an increase in self-harm among adolescents; however, little is known about the trends in prevalence after the end of the pandemic.

This retrospective cross-sectional database study evaluates changes in the prevalence and clinical characteristics of self-harm among adolescents who sought attention from the emergency service of the largest children’s psychiatric hospital in Mexico before, during and after the COVID-19 pandemic.

After comparing the clinical characteristics of self-harm between the three periods, we calculated the monthly prevalence of self-harm among patients (n = 3520) visiting the hospital’s emergency psychiatric services over a period of 58 months. Using joinpoint regression, we evaluated temporal trends in self-harm prevalence.

Affective disorders and hitting as a method of self-harm were more frequent during and after the pandemic in comparison with the pre-pandemic period. The prevalence of self-harm diminished from March 2019 to March 2023, a trend followed by an increase coinciding with the end of the pandemic and the return to normal activities.

The significant increase in prevalence observed after the end of the pandemic suggests a long-term impact on mental health of adolescents. This underscores the need for monitoring this population during post-pandemic years to provide timely interventions.