Little is known about the dose and pattern of moderate-to-vigorous physical activity (MVPA) to prevent depression. We aimed to assess the prospective association of dose and pattern of accelerometer-derived MVPA with the risk of diagnosed depression.

We included 74,715 adults aged 40–69 years from the UK Biobank cohort who were free of severe disease at baseline and participated in accelerometer measurements (mean age 55.2 years [SD 7.8]; 58% women). MVPA at baseline was derived through 1-week wrist-worn accelerometry. Diagnosed depression was defined by hospitalization with ICD-10 codes F32.0-F32.A. Restricted cubic splines and Cox regression determined the prospective association of dose and pattern of MVPA with the risk of incident depression.

Over a median 7.9-year follow-up, there were 3,089 (4.1%) incident cases of depression. Higher doses of MVPA were curvilinearly associated with lower depression risk, with the largest minute-per-minute added benefits occurring between 5 (HR 0.99 [95% CI 0.96–0.99]) and 280 (HR 0.67 [95% CI 0.60–0.74]) minutes per week (reference: 0 MVPA minutes).

Regardless of pattern, higher doses of MVPA were associated with lower depression risk in a curvilinear manner, with the greatest incremental benefit per minute occurring during the first 4–5 h per week. Optimal benefits occurred around 15 h/week.

The human health impacts of disaster are predicted to increase in frequency and severity due to the effects of climate change. This has impacts on all nations, but understanding disaster-related health impacts in highly populous nations, such as India, will help to inform risk preparedness and reduction measures for large proportions of the global population.

Disaster-related human health impacts in India were examined via the use of survey data to inform risk reduction.

A cross-sectional analysis of Wave 1 (2017-2018) data from the Longitudinal Aging Study India (LASI) was conducted to explore the impact of both natural and human-induced disasters on the self-reported health of people 45 years and above, as well as their partners (irrespective of age). Descriptive statistics, chi square tests of association, odds ratio, and logistic regression were used to analyze the data by socio-demographics, geographic location, and health concern type.

Out of a total 72,250 respondents, 2,301 (3.5%) reported disaster-related health impacts, of which 90.1% were significant. Rural residents and those with no education were more likely to be affected. Droughts were most commonly responsible for affecting human health (41.7%), followed by floods (24.0%). Two-thirds of the sample reported psychological trauma and one-in-five experienced chronic illness.

The LASI study presents an important first understanding of the self-reported human health impacts of disasters, both natural and human-induced in India. Findings indicate social determinants such as education level and rurality impact risk of disaster-related health impacts, while mental health concerns represent the biggest disaster-related health concern.

Future waves of LASI should be examined to determine if human health impacts are increasing due to the effects of climate change, as well as the vulnerability of an aging cohort.

Recent studies have challenged the assumption that families are invariable sources of support for cancer caregivers, noting that relationships with family members can have both positive and negative effects on caregiver well-being. This study expands upon prior literature to examine the relationship between cancer caregivers’ perceptions of the quality of their family interactions and their symptoms of anxiety.

We employed secondary analysis of baseline data from a multisite randomized clinical trial of an intervention for cancer caregivers conducted at 3 large academic palliative care clinics. We performed linear regression analyses to analyze the relationship between caregivers’ perceptions of the quality of their family interactions and their symptoms of anxiety; additional models were estimated to further characterize this relationship with the addition of relevant covariates: race, ethnicity, sex, marital/relationship status, relationship to patient, employment status, household income, and perceived social support received from friends and significant others. We also conducted a sub-analysis of data provided by caregivers who were married or partnered to examine the relationship between their perceptions of the quality of their family interactions and their symptoms of anxiety with relationship satisfaction as a covariate.

Among our analytic sample (n = 244), we identified a significant negative relationship between cancer caregivers’ perceptions of the quality of their family interactions and their symptoms of anxiety; this relationship remained statistically significant with the addition of covariates. Relationship satisfaction was not found to be a statistically significant covariate in our sub-analysis of married or partnered caregivers.

Study results provide strong support for the development, testing, and implementation of interventions to improve family interactions as a strategy to reduce caregiver anxiety.

Despite high levels of depression and anxiety, there is relatively little attention to psychological treatment approaches to mental health issues for older adults living in nursing homes. Recent studies support the use of cognitive behaviour therapy (CBT) in this population and here we aim to highlight how CBT can be successfully adapted and implemented with beneficial results. The ELders AT Ease (ELATE) program is a unique service delivery model illustrating delivery of CBT with older adults living in nursing homes. The six modules forming the program, based on CBT, are described. A systems wide approach to delivery is emphasised and illustrated through two clinical case descriptions. Innovative mental health programs can have positive benefits for both residents and staff and support the use of CBT in this vulnerable and under-served client group.

1. (1) Knowledge of the content and application of CBT for older adults living in nursing homes.

2. (2) Understanding of CBT session structure as applied to older adults living in nursing homes.

3. (3) Recognising and utilising specific strategies to highlight a systemic approach as central to implementing CBT strategies, such as behavioural activation and reminiscence, with considered involvement by staff and family.

Research shows initial COVID-19 lockdowns increased population mental distress. Yet, the mental health impact of repeated lockdowns in England remains unknown.

To: (a) explore changes in population mental health symptoms over the COVID-19 pandemic period (March 2020 to March 2021) in England, comparing this with trends from a decade before (2009–2019) as well as after (2021–2023); (b) compare the mental health impact of each of the three lockdowns in England with periods of eased restrictions, determining who was most affected; (c) examine the impact of demographics and distinct time periods on the prevalence of mental health symptoms.

A secondary analysis of a national longitudinal cohort study, utilising data from Waves 1–13 of the UK Household Longitudinal Study and from Waves 1–9 of the COVID-19 Survey. Mental health was assessed using the 12-item General Health Questionnaire. Student t-tests and logistical regressions were conducted.

There was a significant increase in the prevalence of self-reported symptoms of mental health during England's pandemic period, encompassing three lockdowns, compared with the average of rates from 10 years before. Rates of reported mental health symptoms were not significantly different across each lockdown, but were significantly higher than pre-pandemic rates, declining with eased restrictions. Rates from the end of lockdown to May 2023 revealed elevated mental health symptoms compared with pre-pandemic. Elevated symptoms were observed for women, people homeworking, those with health conditions, individuals aged 30–45 years and those experiencing loneliness.

Repeated lockdowns in England had a substantial impact on mental health, indicating requirements for ongoing mental health support.

Temperature increases in the context of climate change affect numerous mental health outcomes. One such relevant outcome is involuntary admissions as these often relate to severe (life)threatening psychiatric conditions. Due to a shortage of studies into this topic, relationships between mean ambient temperature and involuntary admissions have remained largely elusive.

To examine associations between involuntary admissions to psychiatric institutions and various meteorological variables.

Involuntary admissions data from 23 psychiatric institutions in the Netherlands were linked to meteorological data from their respective weather stations. Generalized additive models were used, integrating a restricted maximum likelihood method and thin plate regression splines to preserve generalizability and minimize the risk of overfitting. We thus conducted univariable, seasonally stratified, multivariable, and lagged analyses.

A total of 13,746 involuntary admissions were included over 21,549 days. In univariable and multivariable models, we found significant positive associations with involuntary admissions for ambient temperature and windspeed, with projected increases of up to 0.94% in involuntary admissions per degree Celsius temperature elevation. In the univariable analyses using all data, the strongest associations in terms of significance and explained variance were found for mean ambient temperature (p = 2.5 × 10−6, Variance Explained [r2] = 0.096%) and maximum ambient temperature (p = 8.65 × 10−4, r2 = 0.072%). We did not find evidence that the lagged associations explain the associations for ambient temperature better than the direct associations.

Mean ambient temperature is consistently but weakly associated with involuntary psychiatric admissions. Our findings set the stage for further epidemiological and mechanistic studies into this topic, as well as for modeling studies examining future involuntary psychiatric admissions.

Recent years show an exponential increased interest (“renaissance”) in the use of psychedelics for the treatment of mental disorders and broader. Some of these treatments, such as psilocybin for depression, are in the process of formal regulation by regulatory bodies in the US (FDA) and Europe (EMA), and as such on the brink of real-world implementation. In the slipstream of these developments increasing commercial initiatives are taking shape. The European Psychiatric Association (EPA) acknowledges both the therapeutic potential of psychedelic substances and the challenges for both research and clinical implementation. Steps need to be taken toward a well-balanced policy based upon sound scientific evidence and research, aiming at safe, ethical responsible integration of psychedelic therapy available for all patients who can potentially benefit.

In this EPA policy paper, we highlight the potential benefits, and also the challenges of psychedelic treatments, which can be relevant for the future real-world implementation of these treatments.

In addition to an overview of the current evidence and hypotheses of working mechanisms of psychedelic treatment, this policy paper specifically highlights the importance of the psychosocial components of the treatment as well as the ethical and professional aspects playing a role in real-world implementation.

Four recommendations are formulated for further research and clinical implementation.

Anxiety disorders and treatment-resistant major depressive disorder (TRD) are often comorbid. Studies suggest ketamine has anxiolytic and antidepressant properties.

To investigate if subcutaneous racemic ketamine, delivered twice weekly for 4 weeks, reduces anxiety in people with TRD.

The Ketamine for Adult Depression Study was a multisite 4-week randomised, double-blind, active (midazolam)-controlled trial. The study initially used fixed low dose ketamine (0.5 mg/kg, cohort 1), before protocol revision to flexible, response-guided dosing (0.5–0.9 mg/kg, cohort 2). This secondary analysis assessed anxiety using the Hamilton Anxiety (HAM-A) scale (primary measure) and ‘inner tension’ item 3 of the Montgomery–Åsberg Depression Rating Scale (MADRS), at baseline, 4 weeks (end treatment) and 4 weeks after treatment end. Analyses of change in anxiety between ketamine and midazolam groups included all participants who received at least one treatment (n = 174), with a mixed effects repeated measures model used to assess the primary anxiety measure. The trial was registered at www.anzctr.org.au (ACTRN12616001096448).

In cohort 1 (n = 68) the reduction in HAM-A score was not statistically significant: −1.4 (95% CI [−8.6, 3.2], P = 0.37), whereas a significant reduction was seen for cohort 2 (n = 106) of −4.0 (95% CI [−10.6, −1.9], P = 0.0058), favouring ketamine over midazolam. These effects were mediated by total MADRS and were not maintained at 4 weeks after treatment end. MADRS item 3 was also significantly reduced in cohort 2 (P = 0.026) but not cohort 1 (P = 0.96).

Ketamine reduces anxiety in people with TRD when administered subcutaneously in adequate doses.

Psychological reactions in response to disasters have been associated with increased mental health (MH) symptomatology, decreased quality of life (QOL), and post-traumatic stress (PTSD). This study provides a rare opportunity to examine post disaster MH longitudinally in a sample of adolescents.

From 2018-20, adolescents (12-18 years, N=228) were interviewed about disaster exposure, QOL using the Adolescent Quality of Life-Mental Health Scale (AQOL-MHS), psychological symptoms, and diagnoses.

Having an MH diagnosis and PTSD are clear indicators of worse Emotional Regulation (ER) (P ≤ 0.03, P ≤ 0.0001) and Self-Concept (SC) (P ≤ 0.006, P ≤ 0.002) QOL. Girls were disproportionately affected in all models for SC and Social Context domains (P ≤ 0.0001, P ≤ 0.01). Interaction models results for ER (P ≤ 0.05) and SC (P ≤ 0.01) indicate that those with PTSD are improving over time at a greater rate than those without PTSD.

Recovery takes time and a clear sex disparity for girls was observed. Results for the different AQOL-MHS domains highlight how the challenges experienced by disasters are multifaceted. Knowing who is at greater risk can allow for better resource allocation and targeted population-based prevention strategies to promote and maintain MH and resolve risk factors for mental illnesses.

Given the US population concentration near coastal areas and increased flooding due to climate change, public health professionals must recognize the psychological burden resulting from exposure to natural hazards.

We performed a systematic search of databases to identify articles with a clearly defined comparison group consisting of either pre-exposure measurements in a disaster-exposed population or disaster-unexposed controls, and assessment of mental health, including but not limited to, depression, post-traumatic stress (PTS), and anxiety.

Twenty-five studies, with a combined total of n =616 657 people were included in a systematic review, and 11 studies with a total of 2012 people were included in a meta-analysis of 3 mental health outcomes. Meta-analytic findings included a positive association between disaster exposure and PTS (n = 5, g = 0.44, 95% CI 0.04, 0.85), as well as depression (n = 9, g = 0.28, 95% CI 0.04, 0.53), and no meaningful effect size in studies assessing anxiety (n = 6, g = 0.05 95% CI −0.30, 0.19).

Hurricanes and flooding were consistently associated with increased depression and PTS in studies with comparison groups representing individuals unaffected by hazards.

On July 28, 2022, eastern Kentucky experienced the state’s deadliest flood in recorded history. In response to ongoing mental health concerns from community members who survived the flood, local health department directors in affected communities requested technical assistance from the Kentucky Department for Public Health and the Centers for Disease Control and Prevention.

Two simultaneous Community Assessments for Public Health Emergency Response (CASPERs) were conducted 6 weeks after the flood. Four counties were assessed in each CASPER. EpiInfo7 was used to calculate the unweighted and weighted frequencies and percentages to estimate the number and percentage of households with a particular response in each CASPER.

Approximately a third (30.5%) of households in CASPER 1 and approximately 40% of households in CASPER 2 reported experiencing ≥1 mental health problems. Individual-level mental health questions from a modified 3-stage CASPER found approximately 15% of persons in both CASPERs reported a Patient Health Questionnaire-2 (PHQ-2) score ≥3 and approximately 20% of persons in both CASPERs reported Generalized Anxiety Disorder-2 (GAD-2) score ≥3.

These findings indicated households experienced mental health problems after the flood. Depression and anxiety were prevalent among persons living in flood-affected areas. If ever needed, households preferred to receive mental health services in-person and locally.

Individuals with diminished social connections are at higher risk of mental disorders, dementia, circulatory conditions and musculoskeletal conditions. However, evidence is limited by a disease-specific focus and no systematic examination of sex differences or the role of pre-existing mental disorders.

We conducted a cohort study using data on social disconnectedness (loneliness, social isolation, low social support and a composite measure) from the 2013 and 2017 Danish National Health Survey linked with register data on 11 broad categories of medical conditions through 2021. Poisson regression was applied to estimate incidence rate ratios (IRRs), incidence rate differences (IRDs), and explore sex differences and interaction with pre-existing mental disorders.

Among 162,497 survey participants, 7.6%, 3.5% and 14.8% were classified as lonely, socially isolated and with low social support, respectively. Individuals who were lonely and with low social support had a higher incidence rate in all 11 categories of medical conditions (interquartile range [IQR] of IRRs, respectively 1.26–1.49 and 1.10–1.14), whereas this was the case in nine categories among individuals who were socially isolated (IQR of IRRs, 1.01–1.31). Applying the composite measure, the highest IRR was 2.63 for a mental disorder (95% confidence interval [CI], 2.38–2.91), corresponding to an IRD of 54 (95% CI, 47–61) cases per 10,000 person-years. We found sex and age differences in some relative and absolute estimates, but no substantial deviations from additive interaction with pre-existing mental disorders.

This study advances our knowledge of the risk of medical conditions faced by individuals who are socially disconnected. In addition to the existing evidence, we found higher incidence rates for a broad range of medical condition categories. Contrary to previous evidence, our findings suggest that loneliness is a stronger determinant for subsequent medical conditions than social isolation and low social support.

A preregistered analysis plan and statistical code are available at Open Science Framework (https://osf.io/pycrq).