Diabetes and mental health problems are closely linked, yet evidence examining this relationship among international labour migrants in the Gulf region is limited. Labour migrants are exposed to distinct occupational and psychosocial stressors that may increase vulnerability to depression and anxiety, particularly in the context of chronic diseases such as diabetes.

This study examined the prevalence and correlates of depressive and anxiety symptoms among male migrant workers with type 2 diabetes attending out-patient services in Qatar.

A clinic-based, cross-sectional study was conducted among adult male migrants receiving care at endocrinology out-patient clinics in Qatar. Symptoms of depression and anxiety were assessed using Patient Health Questionnaire 9 and Generalized Anxiety Disorder 7. Sociodemographic and clinical variables were collected using structured questionnaires and electronic medical records. Associations between clinical and sociodemographic factors and mental health outcomes were examined using chi-square tests and logistic regression analyses.

A total of 339 participants were included, predominantly of South Asian origin. Clinically significant depressive symptoms were identified in 21.3% of participants, with 14.8% reporting clinically significant anxiety symptoms. Depression severity was significantly associated with diabetes treatment modality and past psychiatric history. Anxiety severity was significantly associated with ethnicity and past psychiatric history. In multivariate analysis, past psychiatric illness independently predicted anxiety symptoms (odds ratio 6.24, 95% CI: 1.91–20.38, p = 0.002). No significant associations were observed between mental health outcomes and glycaemic control or duration of diabetes.

Lower-skilled male labour migrants with diabetes experience a substantial burden of depressive and anxiety symptoms, highlighting a clinically important but often overlooked dimension of diabetes care in this population. Past psychiatric illness and more complex diabetes treatment regimens were associated with poorer mental health outcomes. These findings support the need for integration of mental health assessment and targeted support within routine diabetes services for migrant worker populations.

The prevalence and burden of depression are increasing among young people. Despite this, relatively few treatments specifically target this critical developmental period, and under-addressed mental health difficulties in youth often have lifelong consequences. Social isolation is commonly reported by young adults and is both a risk and maintenance factor for depression. There is a need for accessible, engaging interventions that can reduce depressive symptoms and improve social connectedness.

Building on evidence of the therapeutic potential of social dance-based activities for depression, this randomized controlled trial evaluated the efficacy of an 8-week salsa dance intervention for young adults (aged 18–24 years) with mild to moderately severe depressive symptoms. 121 participants were randomly assigned to either a salsa intervention or a waitlist control. Participants completed the Patient Health Questionnaire (PHQ-9), a validated measure of depressive symptoms, and additional mental health measures at baseline, during, and after the intervention.

Participants in the salsa dance condition showed a significantly greater reduction in depressive symptoms than the waitlist control, with a −2.45 PHQ-9 point between-group difference, exceeding the criterion for clinical significance. Both groups reported improvements in social anxiety, generalized anxiety, loneliness, and daily happiness, but salsa participants had significantly greater reductions in social anxiety and greater improvements in daily happiness.

These findings support the value of social dance as a novel, accessible intervention for reducing depressive symptoms. Implementing such programs within a suite of wellbeing-oriented interventions for young people could provide cost-effective mental health benefits.

Mindfulness-based cognitive therapy (MBCT) was developed for relapse prevention in people with remitted depression but is increasingly used for those with difficult-to-treat depression (DTD). A key question regarding this broader application is whether ongoing depressive symptoms constrain therapeutic responsiveness or disrupt MBCT’s proposed mechanism, decentering. We explored whether baseline depressive severity moderates clinical outcomes, whether changes in decentering mediate treatment effects, and whether this mediation varies by baseline severity.

Secondary moderation, mediation, and moderated mediation analyses were conducted using data from the RESPOND randomized trial (N = 234), comparing MBCT plus treatment as usual (TAU) with TAU alone in adults not remitted after high-intensity psychological therapy. Depressive symptoms (PHQ-9) and decentering (Experiences Questionnaire) were assessed at baseline, post-treatment (10 weeks), and follow-up (34 weeks). Analyses were conducted using structural equation modelling.

Higher baseline severity predicted greater symptom improvement across both groups. Treatment-related increases in decentering partially mediated the effect of MBCT on depressive symptoms at follow-up. Although baseline severity did not moderate the treatment effect, it moderated the indirect effect, with decentering more strongly associated with symptom reduction among those with higher baseline depression. Severity did not moderate the acquisition of decentering skills.

Concerns that more severe depressive symptoms limit the effectiveness of MBCT were not supported. MBCT’s core mechanism remained operative under substantial symptom burden, with clinical impact amplified at higher severity. These findings reduce key uncertainties regarding the application of MBCT in DTD and support its use across a broad range of symptom severity.

While initial anhedonia predicts poor psychotherapy outcomes, little is known about its trajectory during treatment. This study aimed to: (1) identify distinct anhedonia trajectories during high-intensity depression treatment; (2) examine patient and treatment predictors; and (3) compare outcomes across treatment types.

Sessional anhedonia scores (PHQ-9 item-1) from 22,605 patients in NHS talking therapies (primarily receiving either cognitive-behavioral therapy [CBT] or counseling for depression [CfD]) were analyzed using latent growth curve (LGC) and growth mixture modeling. Multinomial logistic regression examined predictors of class membership.

A quadratic LGC model best fit the data, reflecting a decrease in symptoms before leveling out. Six latent classes emerged. Notably, three “non-responder” classes characterized by linear-stable or minimal-change patterns comprised over 50% of the sample (51.3%). In contrast, two “responder” classes (41.4%) exhibited improvement, typically shifting between sessions 4 and 6. This suggests an early “inflection point” where the trajectory of recovery is established. Poorer response was predicted by unemployment, chronic health conditions, psychotropic medication, and longer wait times. There was only a sufficient sample size to compare CBT and CfD treatment types. While CBT was associated with membership in specific classes, the probability of being a “responder” did not differ significantly between CBT and CfD.

Most patients followed non-responder trajectories, highlighting a major efficacy gap for anhedonia in standard depression protocols. The 4–6 session window suggests that if improvement is not observed early, the treatment strategy may require further evaluation. Further research into targeted anhedonia interventions is essential.

Cognitive difficulties, including problems with attention and executive processing, are common in major depressive disorder (MDD), and strongly predict psychosocial and occupational functioning. Impairment in sustained attention contributes to increased intra-individual variability (IIV) in reaction times observed during cognitive tasks. Understanding brain network changes associated with IIV could guide novel neuromodulation strategies targeting cognitive difficulties.

We analyzed baseline resting-state fMRI data from 209 patients with moderate-to-severe treatment-resistant MDD who participated in the BRIGhTMIND neuromodulation trial. Following a preregistered analytic protocol, we examined associations between: functional connectivity across three core brain networks (executive control, ECN; default mode, DMN; and salience network, SN); components of IIV derived from a choice reaction time task (using a three-parameter ex-Gaussian model); and functioning.

Greater IIV was linked to increased ECN-DMN functional connectivity. The ECN supports top-down control and externally directed cognition, while the DMN supports internal mentation and rumination. ECN-DMN connectivity was modulated by the SN, which prioritizes salient internal and external stimuli. Higher SN-ECN connectivity was associated with lower ECN-DMN connectivity and with faster mean reaction times. Both IIV and mean reaction time predicted functioning, with poorer functioning related to a slowed and inflexible response pattern.

Distinct components of reaction time variability are associated with specific patterns of brain network connectivity, largely independent of mood severity. Connectivity between the salience and executive control networks may represent a promising target for neuromodulation interventions focused on cognitive deficits in MDD.

Quality of social support is linked to mental health, but less is known about its long-term effects. We aimed to investigate the effects of the quality of social support on affective symptoms from midlife through later life.

Data were used from the MRC National Survey of Health and Development (NSHD), a prospective birth cohort originally consisting of 5,362 people born in 1946. Affective symptoms were measured at ages 53, 60–64, and 69 years using the General Health Questionnaire (GHQ-28), and longitudinal affective symptom trajectories were derived using growth mixture modeling. Quality of social support (positive and negative) was assessed at age 53 years with an adapted version of the Close Persons Questionnaire. Associations of positive and negative social support with affective symptoms at each age and with the longitudinal trajectories were tested using structural equation modeling and the R3 Step approach.

Four distinct affective symptom trajectories were identified: no/low symptoms (83%), low and increasing symptoms (8%), consistently moderate/high symptoms (5%), and moderate/high and decreasing symptoms (4%). In fully adjusted models, negative social support was associated with affective symptoms at all three ages (β: 0.09–0.16, all p-values < .001) and with the ‘consistently moderate/high symptoms’ trajectory (OR = 1.65, 95% CI: 1.36, 2.01, p < .001); no association was found for positive social support.

Results highlight the importance of negative social support as a potential modifiable factor in prevention and intervention initiatives for affective symptoms among adults from midlife to later life.

Although mental health and healthy lifestyle interventions are associated with functional outcomes in adolescence, the extent to which particular lifestyle factors explain relationships between mental health and outcome are unclear. Here we examined mediating effects of lifestyle factors on relationships between mental health and two functional outcomes measured 2–3 years later, as well as moderating effects of environmental risk factors on mediation strength in early adolescence.

We analyzed data from three waves of the Adolescent Brain Cognitive Development Study (ages 10–11, 11–12, and 12–13 years). Mediating effects of sleep quality, screen time, physical activity, and Mediterranean diet on the relationships between depression, anxiety, psychotic-like experience (PLE) distress, and total problems with two subsequent functional outcomes (academic functioning and social problems) were examined. Secondary analyses included environmental factors as moderators.

Sleep quality mediated 18.5%, 36.3%, and 8.3% of the relationships between depression, anxiety, and PLE distress with academic functioning, respectively (total problems mediation was nonsignificant). Screen time was the second strongest mediator. For social problems, only sleep quality showed >3% mediation (19.6–23.3%). Mediating effects of sleep and screen time on academic functioning decreased as financial adversity increased. Conversely, mediating effects of sleep quality on social problems increased with worsening family conflict, financial adversity, and school environment.

These results suggest that healthy lifestyle factors (particularly sleep quality) may partially explain associations between mental health and functioning in adolescents and suggest that these effects are modulated by environmental factors. These results may have implications for future intervention studies.

Older adults with multimorbidity (OAMM) commonly receive depression and pain management through primary care, where symptoms are typically assessed through retrospective recall. Even with validated questionnaires, recall bias has been reported in younger populations for both depression and pain. However, recall bias for depression and pain has not been explored in OAMM. We examined discrepancies between prospectively measured and recalled symptoms of depression and pain among OAMM.

We analysed data generated from a 14-day pilot feasibility trial of ecological momentary assessment (EMA) in OAMM (N = 18, age range 67–95). We examined discrepancies between retrospectively assessed depression and pain intensity over two weeks compared to follow-up, baseline characteristics correlated with discrepancies, and recency effects.

We found overreporting across most symptoms, with the largest discrepancies between prospectively recorded and recalled symptom scores for pain intensity and fatigue (d = .49). There was no association between recalled and EMA-measured items for appetite and trouble sleeping. Pain intensity at day 14 was associated with discrepancies in recalled pain (r = −.52, p =.029), and both day 14 mood and negative self-thoughts were associated with discrepancies in trouble concentrating recall (r = −.67, p =.002 and p = −.72, p <.001, respectively) – suggesting recency effects.

We found preliminary evidence of recall bias among OAMM, including overreporting and recency effects of pain and depression symptoms. Given the reliance on recall during primary care visits, more research is needed.

Adolescent depression often presents with somatic complaints, and its clinical manifestation is strongly shaped by cultural context. In non-western districts, psychological distress is frequently expressed through physical symptoms; a tendency that, combined with mental health stigma and culturally influenced health beliefs, complicates accurate detection, diagnosis and treatment. Standardised diagnostic tools developed in Western populations may overlook culturally specific symptom patterns, contributing to under-recognition and inadequate care. Despite the global impact of adolescent depression, cross-cultural symptom-level studies remain limited, hindering the development of culturally responsive mental health strategies.

This study aims to compare somatic-depressive symptom networks in Chinese and Rwandan adolescents using symptom-level network analysis, to identify culturally distinct central and bridge symptoms, and to assess structural differences between symptom networks across groups.

A cross-sectional sample of 3830 adolescents (China: n = 2017, mean age 15.35 ± 1.56; Rwanda: n = 1813, mean age 15.80 ± 1.90) completed culturally adapted versions of the Patient Health Questionnaires for somatic symptoms (PHQ-15) and depression (PHQ-9). Gaussian Graphical Models were estimated in R to construct symptom networks. Centrality measures (expected influence and bridge expected influence) were used to identify influential symptoms within each group. Network Comparison Tests were conducted to examine differences in global strength and network structure, and bootstrapping was employed to assess network stability.

Depressive symptoms were more prevalent among Rwandan adolescents (54.6%) than among Chinese adolescents (29.2%), whereas somatic symptoms were more commonly reported by Chinese participants (71.0% v. 64.0%). Low energy and sleep problems emerged as key bridge symptoms in both groups. Cultural differences were observed in central symptoms: psychomotor impairment and chest pain were central symptoms in Rwanda, whereas dizziness and headaches were central in China. Network structure differed significantly between groups (S = 0.99, p < 0.05), with culturally specific symptom connections.

The findings revealed distinct central and bridge symptoms in Chinese and Rwandan adolescents, reflecting culturally patterned architectures of symptom expression and distress reporting. These results highlight the need for culturally adapted screening tools and symptom-level interventions that target culture-specific symptoms to improve adolescent mental health care globally.

Behavioural activation is effective for depression, but its effectiveness in treating adults with depression when delivered by lay workers remains unclear.

To examine the effectiveness of behavioural activation delivered by lay workers, compared with any control group, in reducing depressive symptoms in adults.

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.

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%).

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.

Depression arises from diverse environmental and psychosocial risk factors, yet how these factors co-occur within individuals remains unclear. This study identifies profiles of multiple depression risk factors and examines their clinical and neuroimaging correlates.

Among 157,317 UK Biobank participants completing the mental health questionnaire, 24 psychological, environmental, and lifestyle factors were assessed using latent class analysis. Logistic regression evaluated associations between profiles and depression outcomes; linear models examined neuroimaging differences. Imaging transcriptomics and gene-set enrichment analyses contextualized neural findings.

Three latent profiles emerged: low risk profile (81.09%), childhood adversity-related profile (CA; 10.95%), and adulthood adversity-related profile (AA; 7.97%). Both the CA profile and AA profile show significantly higher depression risk than the low risk profile. Compared with the low risk profile, the AA profile shows a 2.7-fold increase in depression risk (OR = 3.701, 95%CI: 3.532~3.881), with appetite change and psychomotor symptoms being more prominent. The CA profile shows a 2.5-fold increase in depression risk (OR = 3.507, 95%CI: 3.353~3.607), with worthlessness, sleep problems, and suicidal ideation being more prominent. Both adversity profiles showed lower white-matter FA in cerebellar–thalamic and associative pathways. The CA profile additionally showed reduced FA in occipital tracts, whereas the AA profile showed greater reductions in prefrontal pathways and lower GMV in insula, amygdala, and cerebellar lobules VIIIb/IX, alongside higher occipital pole GMV. The most pronounced nominally significant difference between CA and AA centered on the right amygdala. Genes overlapping subcortical GMV differences were enriched for psychiatric disorders.

Life-course adversity may be a key feature associated with distinct clinical and neural signatures, helping identify subgroups with co-occurring vulnerabilities. These patterns warrant further investigation in future studies.

Depression exhibits significant heterogeneity in its genetic underpinnings. The role of genetic components in the development of depression and its comorbidities remains insufficiently explored.

First, depression risk loci from a large-scale genome-wide meta-analysis were annotated to Gene Ontology (GO) terms by functional enrichment. GO-based polygenic risk scores (GO-PRS) were then calculated for individuals in the UK Biobank. Principal component analysis (PCA) was applied for dimensionality reduction, followed by cluster analysis to identify genetic subtypes of depression. Multistate models were applied to assess the impact of genetic patterns on the trajectory from healthy status to incident depression, and depression to 26 subsequent diseases, as well as the associations between environmental factors and disease trajectories across genetic subtypes.

Participants were categorized into three genetic subtypes: immune-dominant, neuro-dominant, and comprehensive-risk. Significant differences in risk of depression and subsequent diseases, and susceptibility to environmental factors were observed across subtypes. Comprehensive-risk subtype showed higher risks of depression compared to immune-dominant (HR: 1.10, 95% CI: 1.05–1.15) and neuro-dominant subtype (HR: 1.12, 95% CI: 1.08–1.16). Comprehensive-risk subtype exhibited higher risks of transition from depression to subsequent diseases, such as anemia compared to immune-dominant subtype, and diseases of the digestive system compared to neuro-dominant subtype. Environmental factors were more strongly associated with the transition from depression to subsequent diseases in immune-dominant and comprehensive-risk subtypes, including cardiovascular, respiratory, and metabolic diseases.

Our findings highlight the genetic heterogeneity of depression and comorbidities, and shed light on how genetic components modulate responses to environmental factors.

Prenatal depression is associated with offspring behavioral problems, but heterogeneity in the strength of this association is not well understood. Maternal vitamin D concentration during pregnancy is important for fetal brain development and may help explain this variability, with potential differences by timing of exposure and maternal race.

Using data from 1,451 mother–child pairs in the Environmental influences on Child Health Outcomes cohort, linear mixed-effects models examined associations between prenatal depressive symptom severity, gestational 25-hydroxy-vitamin D (25[OH]D) concentrations, and internalizing and externalizing behaviors in preschool-aged children. Analyses were stratified by common 25(OH)D deficiency thresholds, prenatal timing, and race.

Prenatal depressive symptom severity was associated with greater child internalizing (β = 0.18, 95% CI = 0.11, 0.25) and externalizing (β = 0.21, 95% CI = 0.14, 0.28) behaviors. Gestational 25(OH)D concentration did not moderate depression effect estimates in adjusted models. In stratified analyses, the association between prenatal depressive symptoms and child externalizing behaviors persisted regardless of 25(OH)D threshold levels, but the association with internalizing behaviors attenuated at 25(OH)D < 20 ng/mL. Timing of 25(OH)D measurement (early/late pregnancy) did not modify relationships. Higher gestational 25(OH)D was associated with fewer externalizing problems among offspring of Black mothers only.

Prenatal depressive symptoms showed robust associations with child behavioral problems, largely independent of gestational 25(OH)D. However, attenuated risk for internalizing behaviors with low vitamin D levels warrants investigation of social–environmental factors.