Sexual minorities have continuously been found to experience poorer mental health compared to the general population, despite promising changes in attitudes and legislation throughout the 21st century in many Western countries. The present study is one of the first to assess group-level changes over time in mental health among sexual minorities compared to their heterosexual counterparts.

We used four waves of a Finnish population-based survey spanning 16 years (2006–2022) to compare heterosexual and sexual minority adults on depression and anxiety symptoms, alcohol use, and sexual distress.

Sexual minority individuals reported more depression and anxiety symptoms, sexual distress, and alcohol use relative to their heterosexual counterparts at all time points. There were no group differences in the direction or rate of change in group means from 2006 to 2022. Depression and anxiety symptoms showed equally large increases, and alcohol use showed equally large decreases among both heterosexual and sexual minority participants.

Contrary to our expectations based on minority stress theory, differences in mental health between sexual minority and heterosexual individuals persist despite changes in the sociolegal status of sexual minorities during the first two decades of the 21st century. Our findings align with the increasing general trend in anxiety and depression symptoms, which seems to affect the whole population regardless of sexual orientation. We conclude that the effect of legislative societal improvements seems to be small, and the mental health gap between sexual minority and heterosexual adults is likely maintained by factors not included in our study.

Anhedonia and depression symptoms have been linked to potential deficits in reward learning. However, how anhedonia impacts the ability to adjust and learn about the effort required to obtain rewards remains unclear.

We examined young people (N = 155, 16–25 years) with a range of depression and anhedonia symptoms using a probabilistic instrumental reward and effort learning task. Participants were asked to learn which options to choose to maximize reward or minimize effort for reward. We compared the exerted effort (button pressing speed) for high (puppy images) vs low (dog images) rewards and collected subjective reports of “liking,” “wanting,” and “willingness to exert effort.” Computational models were fit to the learning data and estimated parameter values were correlated with depression and anhedonia symptoms.

As depression symptoms and consummatory anhedonia increased, reward liking decreased, and as anticipatory anhedonia increased, liking, wanting, and willingness to exert effort for reward decreased.

Participants exerted more effort for high rewards than for low rewards, but anticipatory anhedonia diminished this difference.

Higher consummatory anhedonia was associated with poorer reward and effort learning, and with increased temperature parameter values for both learning types, indicating a higher tendency to make exploratory choices. Higher depression symptoms were associated with lower reward learning accuracy.

We provide novel evidence that anhedonia is associated with difficulties in modulating effort as a function of reward value and with the underexploitation of low effort and high reward options. We suggest that addressing these impairments could be a novel target for intervention in anhedonic young people.

Fine particulate matter (PM2.5) exposure and unfavourable lifestyle are both significant risk factors for mental health disorders, yet their combined effects on adolescent depression and anxiety remain poorly understood. This study aims to determine whether PM2.5 exposure and lifestyle are independently associated with adolescent depression and anxiety, and whether there are joint effects between these factors on mental health outcomes.

In this cross-sectional study, 19852 participants were analysed. PM2.5 concentrations were obtained from the ChinaHighAirPollutants (CHAP) dataset. Lifestyle factors were assessed through self-reported questionnaires, and a healthy lifestyle score was developed based on eight lifestyle risk factors. Depression and anxiety were assessed using the PHQ-9 and GAD-7 scales. Restricted cubic spline analysed dose–response relationships between PM2.5 exposure and mental health outcomes. The independent and joint effects were assessed using logistic regression models. Both multiplicative and additive interactions (relative excess risk due to interaction, RERI) were examined. Multiple classification approaches were incorporated to ensure robust results.

The study included 19852 participants with a mean age of 15.16 years (SD 1.60), comprising 9886 (49.8%) males and 9966 (50.2%) females. Depression and anxiety were identified in 3845 (19.37%) and 3230 (16.27%) participants, respectively. PM2.5 exposure showed a linear dose-response relationship with depression and anxiety. Joint effects analysis at the 75th percentile of PM2.5 with a lifestyle risk score of 4 revealed the strongest associations, with adjusted odds ratios of 4.49 (95% CI: 3.79–5.33) for depression, 4.01 (95% CI: 3.36–4.78) for anxiety and 4.24 (95% CI: 3.52–5.10) for their comorbidity. Simultaneously, significant additive interactions (RERI > 0) between high levels of PM2.5 exposure and unfavourable lifestyle factors were detected, suggesting synergistic effects on mental health outcomes. Subgroup and sensitivity analyses confirmed the robustness of these findings.

High PM2.5 exposure and unfavourable lifestyle factors demonstrated significant independent and joint effects on depression and anxiety among adolescents. These findings highlight that implementing stringent air pollution control measures, combined with promoting healthy lifestyle practices, may be crucial for protecting adolescent mental health.

Previous studies have indicated that depression is common among young adults. However, these studies have mainly focused on risk factors rather than protective factors, especially in the context of Vietnam.

To explore protective factors such as self-compassion and the mediating role of gratitude, crucial for informing targeted interventions aimed at reducing depression in this population.

A cross-sectional study was conducted in September 2023 using convenience sampling of individuals aged 18–25 years (n = 356, mean age 21.23 years) living in Ho Chi Minh City, Vietnam, recruited via online surveys distributed through social networks. The required sample size was determined using Monte Carlo power analysis to ensure adequate statistical power for mediation analysis. Data were analysed to examine the mediating role of gratitude (Gratitude Questionnaire – Six Item Form, GQ-6) in the relationship between self-compassion (Self-Compassion Scale – Short Form, VSCS-SF) and depression (Patient Health Questionnaire-9, PHQ-9).

Self-compassion showed a significant negative association with depression (β = −0.50, t = −11.42, p < 0.001), accounting for 27% of the variance in depression scores. Gratitude significantly mediated this relationship, with an indirect effect of a × b = −0.07 (s.e. = 0.02, 95% CI −0.11 to −0.04]). Specifically, self-compassion positively predicted gratitude (β = 0.34, t = 6.80, p < 0.001), and gratitude, in turn, negatively predicted depression (β = −0.20, t = −4.42, p < 0.001). The direct effect of self-compassion on depression remained significant after controlling for gratitude (β = −0.43, t = −9.52, p < 0.001), indicating a complementary partial mediation. Bootstrap analysis with 5000 resamples further confirmed the robustness of the indirect effect.

The pivotal roles of self-compassion and gratitude in mitigating depression among young adults were explored, informing tailored intervention strategies for mental health practitioners.

To investigate potential contributors to mental fatigue after aneurysmal subarachnoid hemorrhage (aSAH) and angiographically negative subarachnoid hemorrhage (anSAH), with a focus on information processing speed, attentional control, and psychological distress.

This observational study included 101 patients (70 aSAH, 31 anSAH) and 86 controls. Neuropsychological assessments and questionnaires were conducted five months post-SAH. Mental and physical fatigue were assessed with the Dutch Multifactor Fatigue Scale, information processing speed and attentional control with the Trail Making Test and Vienna Test System Reaction Time and Determination Test, and psychological distress with the Hospital Anxiety and Depression Scale.

Patients reported significantly higher mental and physical fatigue than controls (p < .001) and information processing speed and attentional control were significantly lower (p < .05), with no differences between aSAH and anSAH groups. Severe mental fatigue was present in 55.7% of patients with aSAH and 61.3% of patients with anSAH, significantly exceeding the prevalence of severe physical fatigue (p < .05). Higher mental fatigue correlated with worse attentional control in aSAH and with lower information processing speed in anSAH. Both mental and physical fatigue correlated with psychological distress, particularly after anSAH.

The factors related to mental fatigue appear to differ based on the type of SAH, potentially involving problems in information processing speed and attentional control, psychological distress, or both. This study emphasizes the need for individualized rehabilitation strategies addressing both cognitive and psychological factors in managing mental fatigue after SAH.

This study was conducted to examine the relationship between cancer patients’ spiritual needs and their quality of life and depression levels.

This cross-sectional, exploratory study was conducted between March 2023 and November 2024. The study population consisted of cancer patients hospitalized in medical oncology departments at a university hospital in eastern Turkey. The sample consisted of 250 patients, determined by power analysis. To collect data, the “Demographic Information Form,” “Spiritual Needs Assessment Scale,” “EORTC QLQ-C30 Version 3.0 Quality of Life Scale,” and “Beck Depression Scale” were used to evaluate the patients’ sociodemographic characteristics and disease process.

There was a weak, negative, statistically significant relationship between patients’ spiritual needs and the subdimensions of the quality of life scale, specifically the general perceived health status (r = −0.297, p < 0.001), physical (r = −0.446, p < 0.001), role (r = −0.423, p < 0.001), emotional (r = −0.472, p < 0.001), cognitive (r = −0.458, p < 0.001) and social (r = −0.443, p < 0.001) functions, and finally, a weak positive correlation was found between the symptoms experienced (r = 0.376, p < 0.001) and depression levels. Additionally, a weak positive correlation between spiritual needs and depression level (r = 0.374, p < 0.001) was identified. Functional areas, depression, education level, diagnosis duration, and symptoms were identified as variables predicting spiritual needs.

In conclusion, it was determined that as the spiritual needs of cancer patients increased, their quality of life decreased and the severity of depression increased.

Adolescence is a critical period for brain maturation, influenced by stress and hormonal changes. Chronic stress can lead to increased allostatic load (AL), a cumulative measure of multisystem dysregulation, and insulin resistance (IR), both of which are linked to mental health disorders. We hypothesized that heightened AL and IR during adolescence (age 17) would predict the emergence of mood and psychotic symptoms in young adults.

This study used data from the Avon Longitudinal Study of Parents and Children, a population cohort from Bristol, United Kingdom.

Our results showed that elevated AL at age 17 was significantly associated with the development of mood disorder symptoms (MDS) and psychotic disorder symptoms (PDS) and the co-occurrence of mood and psychotic disorder symptoms (MPDS) at age 24 (p < 0.001). Mean AL increased progressively across these symptom groups, indicating a dose–response relationship between physiological dysregulation and mental health burden (MDS = 3.67, PDS = 3.89, and MPDS = 4.03). We also observed that IR was significantly elevated in the MDS, PDS, and MPDS groups compared to healthy controls (HCs). IR was most prevalent in the PDS group, suggesting a possible association between metabolic dysfunction and psychosis risk.

This study demonstrated that multisystem dysregulation in late adolescence precedes the onset of mood and psychotic symptoms in early adulthood. These results support the use of AL and metabolic markers as early indicators of psychiatric vulnerability and highlight the potential for early intervention targeting systemic dysregulation to prevent the onset of mental health disorders.