Large biobanks offer unprecedented data for psychiatric genomic research, but concerns exist about representativeness and generalizability. This study examined depression prevalence and polygenic risk score (PRS) associations in the All of Us data to assess potential impacts of nonrepresentative sampling.

Depression prevalence and correlates were analyzed in two subsamples: those with self-reported personal medical history (PMH) data (N = 185,232 overall; N = 114,739 with genetic data) and those with electronic health record (EHR) data (N = 287,015 overall; N = 206,175 with genetic data). PRS weights were estimated across ancestry groups. Associations of PRS with depression were examined by state and ancestry.

Depression prevalence varied across states in both PMH (16.7–35.9%) and EHR (0.2–45.8%) data. Concordance between PMH and EHR diagnoses was low (kappa: 0.29, 95% CI: 0.30–0.30). Overall, one standard deviation increase in depression PRS was associated with lifetime depression based on PMH (odds ratio [OR] = 1.05, 95% confidence interval [CI]: 1.04–1.07) and EHR (OR = 1.05, 95% CI: 1.04–1.07). Results were generally consistent by ancestry, with the strongest signal for European ancestry (PMH: OR = 1.10, 95% CI: 1.08–1.12; EHR: OR = 1.07, 95% CI: 1.05–1.10). Associations between PRS and lifetime depression were largely consistent and significant associations varied minimally (ORs = 1.06–1.45) by state of residence in both subsamples.

Recorded depression prevalence by state in All of Us demonstrates a wide range, likely reflecting recruitment differences, EHR data completeness, and true geographic variation; yet PRS associations remained relatively stable. As studies like All of Us expand, accounting for sample composition and measurement approaches will be crucial for generating actionable findings.

Species of the Burkholderia (B.) cepacia complex (Bcc) have been implicated in multiple nosocomial outbreaks linked to contaminated water-based products, including liquid soaps, mouthwash, and other non-alcoholic aqueous solutions.

We describe two substantial healthcare-associated outbreaks of Bcc (B. cepacia and B. contaminans) in the United Kingdom and Ireland associated with contaminated products. We highlight the challenges during investigation and mitigation, and provide recommendations.

A multidisciplinary, multi-stakeholder investigation across both outbreaks was adopted, involving interviews, trawling questionnaires, and targeted product sampling.

There were 153 and 66 confirmed cases in the B. cepacia and B. contaminans outbreaks, respectively. Cases predominantly comprised hospitalized individuals, and 70% of isolates were recovered from an invasive site. The outbreak strain of B. cepacia was isolated from non-sterile ultrasound gel. An analytical study suggested the B. contaminans cluster was also linked to ultrasound gel; however, a disinfectant wipe product was subsequently identified as the source (0–3 single nucleotide polymorphism differences between case and wipe isolates).

The affected disinfectant wipes were withdrawn. The ultrasound gel was not recalled but health system procurement was suspended, rapid clinical guidance was produced and a National Patient Safety Alert was issued. Inter-organizational partnership was required to mitigate risks.

Identifying the source of outbreaks associated with contaminated products can be challenging, requiring complex multi-stakeholder interventions. We recommend a low threshold for investigation of Bcc clusters, adopting a multidisciplinary approach to investigation and mitigation, implementing interventions focusing on practice, and prompt product removal to protect patients.

Child video game playing (“gaming”) may lead to decreased child academic motivation. Conversely, children with low academic motivation may seek fulfillment through gaming. We examined bidirectional associations between child gaming and academic motivation across middle childhood.

Our analyses are based on 1,631 children (boys = 785) followed in the context of the Quebec Longitudinal Study of Child Development. Data on gaming and academic motivation were collected repeatedly at ages 7, 8, and 10. Measures of child gaming were parent-reported and reflect daily video game playing time. Measures of academic motivation were child self-reported and reflect enjoyment in learning mathematics, reading, and writing. To disentangle the directionality of associations, we estimated a random-intercept cross-lagged panel model to estimate bidirectional, within-person associations between gaming and academic motivation in a cohort of school-aged Canadian children.

Our results revealed unidirectional associations whereby more frequent gaming by boys at age 7 years predicted lower academic motivation at age 8 years (β = −.11, 95% confidence interval [CI]: −.22 to −.01), and similarly, gaming by boys at age 8 years predicted lower academic motivation at age 10 years (β = −.10, 95% CI: −.19 to −.01). Changes in boys’ academic motivation did not contribute to subsequent changes in gaming. There were no associations between gaming and academic motivation for girls.

More time devoted to gaming among school-aged boys is associated with reduced academic motivation during a critical developmental period for the development of academic skills. Fostering healthy gaming habits may help promote academic motivation and success.

Understanding how different symptoms co-occur and are correlated may provide insights into the pathophysiology of disease. The lack of group-to-individual generalizability of co-occurrence of symptoms was recently demonstrated by comparing intra-individual and inter-individual correlations in several psychological studies. Here, we investigate this phenomenon for lower urinary tract symptoms (LUTS).

We analyzed data collected in the Symptoms of Lower Urinary Tract Dysfunction Research Network Recall Study. Participants responded to questions about their urinary symptoms for 25 consecutive days. These questions queried urologic symptoms including storage (urinary urgency, frequency, nocturia, and urinary incontinence), voiding (slow/weak stream), and post-micturition (incomplete emptying and post-micturition dribble) symptoms. We calculated Pearson correlation coefficients and cosine similarity measures and compared distributions of intra-individual and inter-individual (cohort) metrics.

Among 234 participants, distributions of intra-individual measures were 10-fold wider than those of inter-individual correlations. There are pairs of questions with distributions of correlations and cosine similarities containing individuals with extreme positive (>0.8) and extreme negative values (<–0.8). There are groups of participants with strong positive and negative correlations of urinary frequency and nocturia, urinary incontinence and weak flow, as well as strong negative and positive correlations of urinary frequency and dribbling. Information on these extreme groups is averaged out and lost in the inter-individual correlations.

Lack of group-to-individual generalizability previously shown for psychological symptoms is confirmed for LUTS. Wealth of information on the co-occurrence and co-evolution of LUTS in the intra-individual correlations and cosine similarities corroborates heterogeneity of LUTS and can be useful for deep phenotyping and for identifying personalized treatments of LUTS.

Posttraumatic stress disorder (PTSD) has been associated with advanced epigenetic age cross-sectionally, but the association between these variables over time is unclear. This study conducted meta-analyses to test whether new-onset PTSD diagnosis and changes in PTSD symptom severity over time were associated with changes in two metrics of epigenetic aging over two time points.

We conducted meta-analyses of the association between change in PTSD diagnosis and symptom severity and change in epigenetic age acceleration/deceleration (age-adjusted DNA methylation age residuals as per the Horvath and GrimAge metrics) using data from 7 military and civilian cohorts participating in the Psychiatric Genomics Consortium PTSD Epigenetics Workgroup (total N = 1,367).

Meta-analysis revealed that the interaction between Time 1 (T1) Horvath age residuals and new-onset PTSD over time was significantly associated with Horvath age residuals at T2 (meta β = 0.16, meta p = 0.02, p-adj = 0.03). The interaction between T1 Horvath age residuals and changes in PTSD symptom severity over time was significantly related to Horvath age residuals at T2 (meta β = 0.24, meta p = 0.05). No associations were observed for GrimAge residuals.

Results indicated that individuals who developed new-onset PTSD or showed increased PTSD symptom severity over time evidenced greater epigenetic age acceleration at follow-up than would be expected based on baseline age acceleration. This suggests that PTSD may accelerate biological aging over time and highlights the need for intervention studies to determine if PTSD treatment has a beneficial effect on the aging methylome.

People with severe mental illness (SMI) have a higher risk of premature mortality than the general population.

To investigate whether the life expectancy gap for people with SMI is widening, by determining time trends in excess life-years lost.

This population-based study included people with SMI (schizophrenia, bipolar disorder and major depression) alive on 1 January 2000. We ascertained SMI from psychiatric hospital admission records (1981–2019), and deaths via linkage to the national death register (2000–2019). We used the Life Years Lost (LYL) method to estimate LYL by SMI and sex, compared LYL to the Scottish population and assessed trends over 18 3-year rolling periods.

We included 28 797 people with schizophrenia, 16 657 with bipolar disorder and 72 504 with major depression. Between 2000 and 2019, life expectancy increased in the Scottish population but the gap widened for people with schizophrenia. For 2000–2002, men and women with schizophrenia lost an excess 9.4 (95% CI 8.5–10.3) and 8.2 (95% CI 7.4–9.0) life-years, respectively, compared with the general population. In 2017–2019, this increased to 11.8 (95% CI 10.9–12.7) and 11.1 (95% CI 10.0–12.1). The life expectancy gap was lower for bipolar disorder and depression and unchanged over time.

The life expectancy gap in people with SMI persisted or widened from 2000 to 2019. Addressing this entrenched disparity requires equitable social, economic and health policies, healthcare re-structure and improved resourcing, and investment in interventions for primary and secondary prevention of SMI and associated comorbidities.

History of prior mental disorder, particularly post-traumatic stress disorder (PTSD), increases risk for PTSD following subsequent trauma exposure. However, limited research has examined differences associated with specific prior mental disorders among people with PTSD.

The current study examined whether different prior mental disorders were associated with meaningful differences among individuals presenting to a specialist service for severe earthquake-related distress following the Canterbury earthquakes (N = 177).

Two sets of comparisons were made: between participants with no history of prior disorder and participants with history of any prior disorder; and between participants with history of prior PTSD and those with history of other prior disorders. Comparisons were made in relation to sociodemographic factors, earthquake exposure, peri-traumatic distress, life events and current psychological functioning.

Participants with any prior mental disorder had more current disorders than those with no prior disorder. Among participants with history of any prior disorder, those with prior PTSD reported more life events in the past 5 years than those with other prior disorders.

Findings suggest a history of any prior mental disorder contributes to increased clinical complexity, but not increased PTSD severity, among people with PTSD seeking treatment. Although post-disaster screening efforts should include those with prior mental disorders, it should also be recognised that those with no prior disorders are also at risk of developing equally severe PTSD.

To compare receipt of acute cardiac care in people with versus without severe mental illness (SMI) and investigate the impact of the COVID-19 pandemic on any differences in care. We hypothesised that, compared with those without SMI, patients with an SMI are less likely to receive guideline recommended acute cardiac care and that disparities worsened as a result of the pandemic.

We conducted a cohort study using data from the CVD-COVID-UK resource, which links electronic health data from multiple sources. Our cohort included 95,125 adults with a non-ST-elevation MI (NSTEMI) recorded in the Myocardial Infarction National Audit Programme (MINAP) dataset between 1 November 2019 and 31 March 2022. We defined SMI as schizophrenia, schizoaffective disorders or bipolar disorder (BD), ascertained through recorded diagnosis in primary care or hospital admission records. We examined receipt of cardiac care standards for NSTEMI, including: admission to a cardiac ward; angiogram eligibility; receipt of angiogram (in those eligible); angiogram within 72 hours; secondary prevention medication prescribing at discharge, and arrangement of post-discharge cardiac rehabilitation. We used logistic regression to obtain odds ratios (ORs) for the association between SMI and receipt of each care indicator, adjusting for age, sex and time period. We tested for an interaction between SMI and time period in order to determine if any disparities had changed since the start of the COVID-19 pandemic.

Within our cohort, 620 patients (0.6%) had schizophrenia and 575 (0.6%) had BD. Compared with people without SMI and after adjusting for age, sex and period, patients with an SMI were less likely to receive each of the cardiac care standards. For example, compared with those without SMI, those with SMI were less likely to: be admitted to a cardiac ward (schizophrenia: OR 0.72, 95% CI 0.61–0.85; BD: 0.74, 95% CI 0.63–0.88); be eligible for an angiogram (schizophrenia: 0.37, 95% CI 0.29–0.47; BD: 0.52, 95% CI 0.40–0.68); receive an angiogram (schizophrenia: 0.22, 95% CI 0.18–0.28; BD: 0.51, 95% CI 0.39–0.66); and receive an angiogram within 72 hours (schizophrenia: 0.71, 95% CI 0.56–0.90); BD: 0.80, 95% CI 0.64–1.00). We generally found no evidence that disparities had changed since the start of the COVID-19 pandemic.

We identified marked SMI disparities in receipt of acute cardiac care among people treated in hospital for a NSTEMI. Further research should seek to identify reasons for, and inform interventions to, address these disparities.

To understand the challenges and barriers experienced by health-care professionals (HCPs) in providing acute cardiac care to patients with severe mental illness (SMI) (schizophrenia, bipolar disorder or severe depression) admitted to hospital following a myocardial infarction (MI).

Semi-structured 1:1 videocall interviews with 12 HCPs in two central-Scotland Health Boards involved in delivering pre-/hospital acute care for a MI (paramedics, cardiology/A&E nurses, cardiology/A&E doctors). Interviewee recruitment was via clinical and research networks and newsletters e.g. the Scottish Ambulance Service, the Royal College of Nursing and Royal College of Physicians and through professional connections. Interviews were audio-recorded, transcribed verbatim and analysed thematically drawing on Braun & Clarke and using NVivo software.

HCPs identified a number of challenges/barriers to providing optimal post-MI acute cardiac care to patients with a SMI across 3 key themes: patient-related; practitioner-related and system/environment-related. Core patient-related challenges/barriers included: diminished patient history capacities especially relating to chronology; the time-consuming nature of effective HCP-patient communication and engagement; medication and intervention concordance concerns and challenging patient behaviour including physical and verbal aggression or severe distress.

Practitioner-related challenges/barriers were: fears of appropriately managing patient behaviour; stigma towards patients with a SMI (putatively arising from knowledge deficits or generational/age-related effects); staff burnout due to length of service and pressures from extreme workloads.

Systemic issues included insufficient staffing precluding the additional time required for effective communication and the distressing nature of hospital environments for patients with a SMI. Side rooms were not routinely available even though these were identified as improving the environment for some patients. A core systemic finding, cited by all interviewees, was the lack of adequate training provision on caring for patients with a SMI. Additional system-level findings were degrees of challenges accessing input from the hospital psychiatric team especially outwith standard hours and problems obtaining rarer psychiatric medications potentially impacting patients’ mental health stability.

Positive findings included that HCPs are generally enthusiastic about providing high quality care to this patient group and to seek help with this. Some HCPs indicated that caring for mentally stable patients with a SMI does not differ from the general population.

Although HCPs aspired to providing optimal acute cardiac care for this patient group, patient-level, professional and systemic barriers often make this challenging. A key area for improvement is enhancing staff training in caring for patients with SMI, ideally delivered in-person.