BMJ mental health最新文献

Background: The COVID-19 pandemic, while a major stressor, increased flexibility in sleep-wake schedules.

Objectives: To investigate the impact of the pandemic on sleep patterns in people with a history of depression and identify sociodemographic, clinical or genetic predictors of those impacts.

Methods: 6453 adults from the Australian Genetics of Depression Study (45±15 years; 75% women) completed surveys before (2016-2018) and during the pandemic (2020-2021). Participants were assigned to 'short sleep' (<6 hours), 'optimal sleep' (6-8 hours) or 'long sleep' (>8 hours). We focused on those having prepandemic 'optimal sleep'.

Findings: Pre pandemic, the majority (70%, n=4514) reported optimal sleep, decreasing to 49% (n=3189) during the pandemic. Of these, 57% maintained optimal sleep, while 16% (n=725) shifted to 'short sleep' and 27% (n=1225) to 'long sleep'. In group comparisons 'optimal-to-short sleep' group had worse prepandemic mental health and increased insomnia (p's<0.001), along with an elevated depression genetic score (p=0.002). The 'optimal-to-long sleep' group were slightly younger and had higher distress (p's<0.05), a greater propensity to being evening types (p<0.001) and an elevated depression genetic score (p=0.04). Multivariate predictors for 'optimal-to-short sleep' included reported stressful life events, psychological or somatic distress and insomnia severity (false discovery rate-corrected p values<0.004), while no significant predictors were identified for 'optimal-to-long sleep'.

Conclusion and implications: The COVID-19 pandemic, a natural experiment, elicited significant shifts in sleep patterns among people with a history of depression, revealing associations with diverse prepandemic demographic and clinical characteristics. Understanding these dynamics may inform the selection of interventions for people with depression facing major challenges.

Background: From the pathway perspective, metabolites have the potential to improve knowledge about the aetiology of psychiatric diseases. Previous studies suggested a link between specific blood metabolites and mental disorders, but some Mendelian randomisation (MR) studies in particular are insufficient for various reasons.

Objective: This study focused on bias assessment due to interdependencies between metabolites and psychiatric mediation effects.

Methods: In a multistep framework containing network and multivariable MR, direct effects of 21 mutually adjusted metabolites on 8 psychiatric disorders were estimated based on summary statistics of genome-wide association studies from multiple resources. Robust inverse-variance weighted models were used in primary analyses. Several sensitivity analyses were performed to assess different patterns of pleiotropy and weak instrument bias. Estimates for the same phenotypes from different resources were pooled using fixed effect meta-analysis models.

Findings: After adjusting for mediation effects, genetically predicted metabolite levels of six metabolites of lipid, amino acid and cofactors pathways were directly associated with overall six mental disorders (attention-deficit/hyperactivity disorder, bipolar disorder, anorexia nervosa, depression, post-traumatic stress disorder and schizophrenia). Point estimates ranged from -0.45 (95% CI -0.67; -0.24, p=1.0×10⁴) to 1.78 (95% CI 0.85; 2.71, p=0.006). No associations were found with anxiety and suicide attempt.

Conclusions: This study provides insights into new metabolic pathways that seems to be causally related to certain mental disorders.

Clinical implications: Further studies are needed to investigate whether the identified associations are effects of the metabolites itself or the biochemical pathway regulating the metabolites.

Background: Personal and family history of psychiatric disorders are key risk factors for postpartum depression (PPD), yet their combined contribution has been understudied.

Objective: To examine personal and family psychiatric history, alone and combined, and their effect on absolute risk and relative risk (RR) of mild/moderate or severe PPD.

Methods: In this cohort study, we used data from 142 064 childbirths with PPD screenings from 2015 to 2021 merged with population registers. Exposures were personal and family psychiatric history defined as a psychiatric hospital contact or psychotropic prescription fills by index mothers and their parents prior to delivery. Outcomes were mild/moderate PPD (Edinburgh Postnatal Depression Scale, cut-off: ≥11 within 12 weeks post partum) and severe PPD (antidepressant fill or depression diagnosis within 6 months post partum). We calculated absolute risks and RRs using Poisson regression models adjusted for parity, education, maternal age, and calendar year.

Findings: Of the 142 064 participants, 23.4% had no psychiatric history, 47.4% had only family history, 6.0% had only personal history, and 23.2% had both. The latter group had the highest risk of PPD: absolute risk of mild/moderate PPD was 11.7% (95% CI 11.5%; 11.8%), and adjusted RR: 2.35 (95% CI 2.22; 2.49). Alone, personal psychiatric history was the most potent risk factor. Dose-response relationship based on severity of personal and family psychiatric history was found.

Discussion: Our study documents a substantial association between personal and family psychiatric history and PPD risk.

Clinical implications: Evaluating combinations of risk factors is important to improve risk assessment.

Background: The aim of this systematic review and meta-analysis is to evaluate and compare the prevalence rates of spontaneous movement disorders (SMDs), including dyskinesia, parkinsonism, akathisia and dystonia, in antipsychotic-naïve individuals with chronic psychosis and first-episode psychosis (FEP) and gain a more nuanced understanding of factors influencing their presence.

Methods: Several literature databases were systematically searched and screened based on predetermined eligibility criteria. Included articles underwent risk of bias assessment. The prevalence rates of SMDs were calculated using a random-effects model.

Results: Out of 711 articles screened, 27 were included in this meta-analysis. The pooled prevalence of spontaneous dyskinesia was 7% (3% FEP and 17% chronic schizophrenia) across 24 studies (95% CI 3 to 11; I²=94%, p<0.01) and 15% for spontaneous parkinsonism (14% FEP and 19% chronic schizophrenia) in 21 studies (95% CI 12 to 20; I²=81%, p<0.01). A meta-regression analysis found a significant positive correlation between age (p<0.05) and duration of untreated psychosis (DUP) (p<0.05) with dyskinesia but not parkinsonism prevalence. Akathisia and dystonia appear to be both less studied and less frequent in occurrence with a pooled prevalence of 4% (95% CI: 3 to 6; I²=0%, p=0.65) for akathisia in eight studies and a mean prevalence of 6% (range 0%-16%) for dystonia in five studies.

Conclusion: The presence of varying degrees of neurodysfunction in antipsychotic-naïve patients with schizophrenia underscores the need for individualised treatment approaches that consider each patient's unique predisposition and neuromotor profile. Further research is warranted into the role of specific SMDs and risk factors including sex, race and diagnostic variations.

Prospero registration number: CRD42024501951.

Background: Psychological resilience refers to an individual's ability to cope with and adapt to challenging life circumstances and events.

Objective: This study aims to explore the association between psychological resilience and all-cause mortality in a national cohort of US older adults by a cross-sectional study.

Methods: The Health and Retirement Study (2006-2008) included 10 569 participants aged ≥50. Mortality outcomes were determined using records up to May 2021. Multivariable Cox proportional hazards models were used to analyse the associations between psychological resilience and all-cause mortality. Restricted cubic splines were applied to examine the association between psychological resilience and mortality risk.

Findings: During the follow-up period, 3489 all-cause deaths were recorded. The analysis revealed an almost linear association between psychological resilience and mortality risk. Higher levels of psychological resilience were associated with a reduced risk of all-cause mortality in models adjusting for attained age, sex, race and body mass index (HR=0.750 per 1 SD increase in psychological resilience; 95% CI 0.726, 0.775). This association remained statistically significant after further adjustment for self-reported diabetes, heart disease, stroke, cancer and hypertension (HR=0.786; 95% CI 0.760, 0.813). The relationship persisted even after accounting for smoking and other health-related behaviours (HR=0.813; 95% CI 0.802, 0.860).

Conclusions: This cohort study highlights the association between psychological resilience and all-cause mortality in older adults in the USA.

Clinical implications: Psychological resilience emerges as a protective factor against mortality, emphasising its importance in maintaining health and well-being.