Parents of children with autisma demonstrate elevated traumatic stress symptoms, but seldom receive diagnoses of post-traumatic stress disorder (PTSD) or complex PTSD. An accurate assessment of Criterion A is essential for a valid diagnosis of these disorders, yet it is uncertain whether Criterion A, as defined by the two primary international diagnostic systems (DSM-5-TR and ICD-11), yields consistent interrater reliability, when psychologists rely solely on self-report from these parents for assessing PTSD or complex PTSD.

This study aims to investigate interrater reliability across psychologists when assessing Criterion A events against the ICD-11 and DSM-5-TR.

Ten Australian psychologists rated parents’ self-reported traumatic events related to parenting, using the Life Events Checklist for DSM-5-TR and ICD-11 Criterion A. Data from 200 randomly selected parents of children, all meeting symptom thresholds for PTSD or complex PTSD, were analysed. Bootstrapping calculated kappa coefficients, differences between ICD-11 and DSM-5-TR criteria, and self-reports of threat/no threat, with 95% confidence intervals for these differences.

Interrater reliability varied from poor to moderate. The ICD-11 had significantly higher reliability than the DSM-5-TR for Criterion A (κdifference = 0.105, 95% CI 0.052–0.153, P < 0.001). The interrater reliability was lower when parents reported life threat, serious injury or death (κdifference = 0.096, 95% CI 0.019–0.176, P = 0.007).

This study highlights challenges in assessing PTSD and complex PTSD Criterion A in parents of children with autism, using DSM-5-TR and ICD-11 criteria with the Life Events Checklist, revealing less than adequate interrater reliability.

There are ethnic differences, including differences related to indigeneity, in the incidence of first episode psychosis (FEP) and pathways into care, but research on ethnic disparities in outcomes following FEP is limited.

In this study we examined social and health outcomes following FEP diagnosis for a cohort of Māori (Indigenous people of New Zealand) and non-Māori (non-Indigenous) young people. We have focused on understanding the opportunities for better outcomes for Māori by examining the relative advantage of non-Māori with FEP.

Statistics New Zealand's Integrated Data Infrastructure was accessed to describe mental health and social service interactions and outcomes for a retrospective FEP cohort comprising 918 young Māori and 1275 non-Māori aged 13 to 25 at diagnosis. Logistic regression models were used to examine whether social outcomes including employment, benefit receipt, education and justice involvement in year 5 differed by indigeneity.

Non-Māori young people were more likely than Māori to have positive outcomes in the fifth year after FEP diagnosis, including higher levels of employment and income, and lower rates of benefit receipt and criminal justice system involvement. These patterns were seen across diagnostic groups, and for both those receiving ongoing mental healthcare and those who were not.

Non-Māori experience relative advantage in outcomes 5 years after FEP diagnosis. Indigenous-based social disparities following FEP urgently require a response from the health, education, employment, justice and political systems to avoid perpetuating these inequities, alongside efforts to address the disadvantages faced by all young people with FEP.

The risk of cancers associated with psychiatric disorders is understudied.

To investigate whether cancer risk varies with the presence of psychiatric disorders.

Patients diagnosed with psychiatric disorders in South Korea between 1 January and 31 December 2017 were included in the study and referred to as the psychiatric disorder group. The non-psychiatric-disorder group, selected using a stratified random sampling technique based on age and gender, comprised individuals who had never been diagnosed with a psychiatric disorder. The primary outcome was a new cancer diagnosis, assessed over a 5-year period (1 January 2018 to 31 December 2022).

Following 1:1 propensity score matching, the final analysis included data for 686 570 adults (343 285 in each group). The cancer incidence in the psychiatric disorder group from 2018 to 2022 was 15.4% (52 948/343 285), whereas in the non-psychiatric-disorder group, it was 12.8% (43 989/343 285). Cox regression analysis revealed that the psychiatric disorder group had a 23% higher occurrence of cancer compared with non-psychiatric-disorder controls (hazard ratio: 1.23, 95% CI: 1.21, 1.24; P < 0.001). Significant associations between cancer incidence and specific psychiatric disorders were observed in individuals with alcohol-related disorders (hazard ratio: 1.27, 95% CI: 1.23, 1.32; P < 0.001), anxiety disorders (hazard ratio: 1.15, 95% CI: 1.14, 1.17; P < 0.001) and major depressive disorder (hazard ratio: 1.16, 95% CI: 1.15, 1.18; P < 0.001).

Individuals with psychiatric disorders were more likely to develop cancer than those without. We identified associations of alcohol-related disorders, anxiety disorders and major depressive disorder with cancer risk.

Despite the recognised links between food insecurity and parenting, few studies have evaluated the perceived impacts of livelihood or food security interventions on parental practices, intra-household functioning, adolescent behaviour and psychosocial outcomes in HIV-affected households in sub-Saharan Africa.

The study aimed to understand the perceived effects of food security on parenting practices and how this was experienced by both adolescent girls (aged 13–19 years) and their caregivers in rural Kenya.

We conducted semi-structured, individual interviews with 62 caregiver–adolescent dyads who were participants in the adolescent Shamba Maisha (NCT03741634), a sub-study of adolescent girls and caregivers with a household member participating in the Shamba Maisha agricultural and finance intervention trial (NCT01548599). Data were analysed following the principles of thematic analysis.

Compared to control households, the Shamba Maisha intervention households had improved food security and strengthened economic security, which, in turn, improved parenting practices. Intervention households described changes in parenting experiences, including decreased parental stress, reduced absenteeism and harsh parenting and improved caregiver– adolescent relationships. These positive caregiving practices, in turn, contributed to improved mental health and fewer behavioural problems among adolescent girls. Changes in the control households were less noticeable.

These findings demonstrate how an income-generating agricultural intervention may improve food security and positively affect parenting practices, intra-household dynamics and adolescent psychosocial well-being and behaviour. Further research is needed to explore how to harness the social benefits of agricultural interventions to best address the critical intersections among food insecurity, parenting practices and adolescent mental health.

There is currently no definitive method for identifying individuals with psychosis in secondary care on a population-level using administrative healthcare data from England.

To develop various algorithms to identify individuals with psychosis in the Mental Health Services Data Set (MHSDS), guided by national estimates of the prevalence of psychosis.

Using a combination of data elements in the MHSDS for financial years 2017–2018 and 2018–2019 (mental health cluster (a way to describe and classify a group of individuals with similar characteristics), Health of the Nation Outcome Scale (HoNOS) scores, reason for referral, primary diagnosis, first-episode psychosis flag, early intervention in psychosis team flag), we developed 12 unique algorithms to detect individuals with psychosis seen in secondary care. The resulting numbers were then compared with national estimates of the prevalence of psychosis to ascertain whether they were reasonable or not.

The 12 algorithms produced 99 204–138 516 and 107 545–134 954 cases of psychosis for financial years 2017–2018 and 2018–2019, respectively, in line with national prevalence estimates. The numbers of cases of psychosis identified by the different algorithms differed according to the type and number (3–6) of data elements used. Most algorithms identified the same core of patients.

The MHSDS can be used to identify individuals with psychosis in secondary care in England. Users can employ several algorithms to do so, depending on the objective of their analysis and their preference regarding the data elements employed. These algorithms could be used for surveillance, research and/or policy purposes.

Employment and relationship are crucial for social integration. However, individuals with major psychiatric disorders often face challenges in these domains.

We investigated employment and relationship status changes among patients across the affective and psychotic spectrum – in comparison with healthy controls, examining whether diagnostic groups or functional levels influence these transitions.

The sample from the longitudinal multicentric PsyCourse Study comprised 1260 patients with affective and psychotic spectrum disorders and 441 controls (mean age ± s.d., 39.91 ± 12.65 years; 48.9% female). Multistate models (Markov) were used to analyse transitions in employment and relationship status, focusing on transition intensities. Analyses contained multiple multistate models adjusted for age, gender, job or partner, diagnostic group and Global Assessment of Functioning (GAF) in different combinations to analyse the impact of the covariates on the hazard ratio of changing employment or relationship status.

The clinical group had a higher hazard ratio of losing partner (hazard ratio 1.46, P < 0.001) and job (hazard ratio 4.18, P < 0.001) than the control group (corrected for age/gender). Compared with controls, clinical groups had a higher hazard of losing partner (affective group, hazard ratio 2.69, P = 0.003; psychotic group, hazard ratio 3.06, P = 0.001) and job (affective group, hazard ratio 3.43, P < 0.001; psychotic group, hazard ratio 4.11, P < 0.001). Adjusting for GAF, the hazard ratio of losing partner and job decreased in both clinical groups compared with controls.

Patients face an increased hazard of job loss and relationship dissolution compared with healthy controls, and this is partially conditioned by the diagnosis and functional level. These findings underscore a high demand for destigmatisation and support for individuals in managing their functional limitations.

Former prisoners are a vulnerable population, and suicide rates among this group are high, particularly following release from prison.

To explore former prisoners’ engagement with mental health services before death by suicide, and to examine the demographics, clinical history and clinical care of this patient group and compare them with patients who died by suicide who had not been to prison.

The clinical, sociodemographic and care characteristics of patients in contact with mental health services who died by suicide in the UK were examined in a national clinical survey between 1 January 2001 and 31 December 2021, and comparisons were made between former prisoners and patients with no history of being in prison.

Of the 33 381 (median age 46 years, range 10–100; 65.6% male) patients who died by suicide in the UK and had been in contact with mental health services in the 12 months before death, 3335 (11%) were ex-prisoners (male n = 2988, 90%; female n = 347, 10%). Compared with other patients, ex-prisoner patients had higher frequencies of personality disorder, schizophrenia and delusional disorders, as well as childhood abuse. Ex-prisoner patients were more likely to be male, to be aged between 45 and 65 years (median age 39, range 17–89), to live in deprived areas and to have a history of substance misuse. We found no differences in ethnicity.

Mental health services need to focus particularly on patients with a history of being in prison who are experiencing economic adversity and offer substance-use-related interventions to ensure continued patient engagement. The link with deprivation is striking at a time at which rising costs of living are resulting in more health inequalities.

Environmental changes can be positive in mental illness. Systematic, planned and guided environmental change in all its aspects is called nidotherapy. It has shown some benefit but has not been extended to whole communities.

A cluster-randomised step-wedge trial is planned in six village communities in Nottinghamshire, England, covering an adult population of 400.

Adults in six villages will be offered a full personal environmental assessment followed by agreed change in different 3-month periods over the course of 1 year. All six villages have populations between 51 and 100 residents and are similar demographically. Assessments of mental health, personality status, social function, quality of life and environment satisfaction will be made. After the initial baseline period of 3 months, two villages will be randomised to nidotherapy for 3 months, a further two at 6 months and the last two at 9 months.

The primary outcome will be change in social function; secondary outcomes include health-related quality of life, anxiety and depressive symptoms, personality status, costs of nidotherapy and life satisfaction. Adverse events will also be recorded. The analysis will be carried out using a multimodal statistical approach examining (a) the change in scores of the primary outcome (social function); (b) change in scores of all secondary outcomes, including costs; and (c) changes in environmental satisfaction.

The findings of this study should help to determine whether nidotherapy has a place in the early detection and treatment of mental pathology.

There is no clear evidence about how to support people with borderline personality disorder (BPD) during the perinatal period. Perinatal emotional skills groups (ESGs) may be helpful, but their efficacy has not been tested.

To test the feasibility of conducting a randomised controlled trial (RCT) of perinatal ESGs for women and birthing people with BPD.

Two-arm parallel-group feasibility RCT. We recruited people from two centres, aged over 18 years, meeting DSM-5 diagnostic criteria for BPD, who were pregnant or within 12 months of a live birth. Eligible individuals were randomly allocated on a 1:1 ratio to ESGs + treatment as usual (TAU), or to TAU. Outcomes were assessed at 4 months post randomisation.

A total of 100% of the pre-specified sample (n = 48) was recruited over 6 months, and we obtained 4-month outcome data on 92% of randomised participants. In all, 54% of participants allocated to perinatal ESGs attended 75% of the full group treatment (median number of sessions: 9 (interquartile range 6–11). At 4 months, levels of BPD symptoms (adjusted coefficient −2.0, 95% CI −6.2 to 2.1) and emotional distress (−2.4, 95% CI −6.2 to 1.5) were lower among those allocated to perinatal ESGs. The directionality of effect on well-being and social functioning also favoured the intervention. The cost of delivering perinatal ESGs was estimated to be £918 per person.

Perinatal ESGs may represent an effective intervention for perinatal women and birthing people with BPD. Their efficacy should be tested in a fully powered RCT, and this is a feasible undertaking.

ISRCTN80470632.

Rates of childhood mental health problems are increasing in the UK. Early identification of childhood mental health problems is challenging but critical to children’s future psychosocial development. This is particularly important for children with social care contact because earlier identification can facilitate earlier intervention. Clinical prediction tools could improve these early intervention efforts.

Characterise a novel cohort consisting of children in social care and develop effective machine learning models for prediction of childhood mental health problems.

We used linked, de-identified data from the Secure Anonymised Information Linkage Databank to create a cohort of 26 820 children in Wales, UK, receiving social care services. Integrating health, social care and education data, we developed several machine learning models aimed at predicting childhood mental health problems. We assessed the performance, interpretability and fairness of these models.

Risk factors strongly associated with childhood mental health problems included age, substance misuse and being a looked after child. The best-performing model, a gradient boosting classifier, achieved an area under the receiver operating characteristic curve of 0.75 (95% CI 0.73–0.78). Assessments of algorithmic fairness showed potential biases within these models.

Machine learning performance on this prediction task was promising. Predictive performance in social care settings can be bolstered by linking diverse routinely collected data-sets, making available a range of heterogenous risk factors relating to clinical, social and environmental exposures.

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.