Health-Related Quality of Life Scores and Values as Predictors of Mortality: A Scoping Review.

Health-related quality of life (HRQoL) can be assessed through measures that can be generic or disease specific, encompass several independent scales, or employ holistic assessment (i.e., the derivation of composite scores). HRQoL measures may identify patients with differential risk profiles. However, the usefulness of generic and holistic HRQoL measures in identifying patients at higher risk of death is unclear. The aim of the present study was to undertake a scoping review of generic, holistic assessments of HRQoL as predictors of mortality in general non-patient populations and clinical sub-populations with specified conditions or risk factors in persons 18 years or older. Five databases were searched from 18 June to 29 June 2020 to identify peer-reviewed published articles. The searches were updated in August 2022. Reference lists of included and cited articles were also searched. Of 2552 articles screened, 110 met criteria for inclusion. Over one-third of studies were from North America. Most studies pertained to sub-populations with specified conditions and/or risk factors, almost a quarter for people with cardiovascular diseases. There were no studies pertaining to people with mental health conditions. Nearly three-quarters of the studies used a RAND Corporation QoL instrument, predominantly the SF-36, and nearly a quarter, a utility instrument, predominantly the EQ-5D. HRQoL was associated with mortality in 67 of 72 univariate analyses (92%) and 100 of 109 multivariate analyses (92%). HRQoL was found to be associated with mortality in the general population and clinical sub-populations with physical health conditions. Whether this relationship holds in people with mental health conditions is not known. HRQoL assessment may be useful for screening and/or monitoring purposes to understand how people perceive their health and well-being and as an indicator of mortality risk, encouraging better-quality and timely patient care to support and maximize what may be a patient's only modifiable outcome.

Development and initial validation of a multivariable predictive Early Adversity Scale for Schizophrenia (EAS-Sz) using register data to quantify environmental risk for adult schizophrenia diagnosis after childhood exposure to adversity.

BACKGROUND: Additional to a child's genetic inheritance, environmental exposures are associated with schizophrenia. Many are broadly described as childhood adversity; modelling the combined impact of these is complex. We aimed to develop and validate a scale on childhood adversity, independent of genetic and other environmental liabilities, for use in schizophrenia risk analysis models, using data from cross-linked electronic health and social services registers. METHOD: A cohort of N = 428 970 Western Australian children born 1980-2001 was partitioned into three samples: scale development sample (N = 171 588), and two scale validation samples (each N = 128 691). Measures of adversity were defined before a child's 10th birthday from five domains: discontinuity in parenting, family functioning, family structure, area-level socioeconomic/demographic environment and family-level sociodemographic status. Using Cox proportional hazards modelling of follow-up time from 10th birthday to schizophrenia diagnosis or censorship, weighted combinations of measures were firstly developed into scales for each domain, then combined into a final global scale. Discrimination and calibration performance were validated using Harrell's C and graphical assessment respectively. RESULTS: A weighted combination of 42 measures of childhood adversity was derived from the development sample. Independent application to identical measures in validation samples produced Harrell's Concordance statistics of 0.656 and 0.624. Average predicted time to diagnosis curves corresponded with 95% CI limits of observed Kaplan-Meier curves in five prognostic categories. CONCLUSIONS: Our Early Adversity Scale for Schizophrenia (EAS-Sz), the first using routinely collected register data, predicts schizophrenia diagnosis above chance, and has potential to help untangle contributions of genetic and environmental liability to schizophrenia risk.

Hospital inpatient admissions of children of mothers with severe mental illness: A Western Australian cohort study.

BACKGROUND: Children of parents with mental illness face a number of adversities, potentially contributing to poor health. AIM: The aim of this study was to quantify the association between maternal severe mental illness and children's hospital admissions. METHOD: Record linkage cohort study of 467,945 children born in Western Australia between 1 January 1980 and 31 December 2001. Follow-up was from age 28 days until fifth birthday. Linked registers captured information on potential confounders. Rate ratios and adjusted rate ratios measured relative change in the numbers of admissions and total days of stay, while rate differences measured absolute change in outcomes. Cause-specific increases were calculated for ICD-9 chapters and for 'potentially preventable' conditions. RESULTS: After adjusting for potential confounders, children of mothers with severe mental illness had a 46% relative increased rate in hospital admissions (95% confidence interval = [38%, 54%]) and an absolute increase in 0.69 extra days in hospital per child, per year (95% confidence interval = [0.67, 0.70]). The relative increase in admissions was greatest in the child's first year of life (adjusted rate ratio = 1.76, 95% confidence interval = [1.64, 1.88]; rate difference = 0.32, 95% confidence interval = [0.30, 0.34]). Rates of admissions were increased for a range of causes, particularly injuries, infections and respiratory disease, and for conditions classified as 'potentially preventable'. CONCLUSION: Children of mothers with severe mental illness have a substantial excess in hospital use compared to children of well mothers. This vulnerable group should be targeted with interventions to avert preventable morbidity and premature mortality in later life.

Secondary mental health service utilisation following emergency department contact for suicidal behaviour: A systematic review.

OBJECTIVE: Engagement with secondary mental health services after an emergency department presentation with suicidal behaviours may be an important strategy for reducing the risk of repeat attempts. Our aim was to examine secondary mental health service contact following a presentation to emergency department with suicidal behaviours. METHODS: A systematic review of papers published between 2000 and 2020 was undertaken. This identified 56 papers relating to 47 primary studies. Data were extracted and summarised separately by age group: (1) young people, (2) older adults and (3) adults and studies with participants of 'all ages'. RESULTS: Studies in young people (n = 13) showed, on average, 44.8% were referred and 33.7% had contact with secondary mental health services within 4 weeks of emergency department discharge. In comparison, in adult/all ages studies (n = 34), on average, 27.1% were referred to and 26.2% had mental health service contact within 4 weeks. Only three studies presented data on contact with mental health services for older adults, and proportions ranged from 49.0% to 86.0%. CONCLUSION: This review highlights poor utilisation of secondary mental health service following emergency department presentation for suicidal behaviours, and further research is needed to identify the reasons for this. Crucially, this information could assist in the allocation of resources to facilitate the timely implementation of suicide prevention services.

Characteristics of people on community treatment orders in Australia: Data from the 2010 National Survey of High Impact Psychosis.

OBJECTIVE: Existing evidence on factors associated with community treatment order placement is largely restricted to administrative data. We utilised the data from a large nationally representative sample to compare the demographic, clinical, social functioning, substance use and service utilisation profiles of people living with psychosis under community treatment orders with those who were not. METHODS: Participants were grouped based on whether they had been subject to a community treatment order in the past 12 months or not. We conducted logistic regressions to examine demographic, clinical, social functioning, substance use and service utilisation profiles associated with the two groups. RESULTS: People who had recently been subject to community treatment orders were more likely to be treated with long-acting injectable antipsychotics and lacked insight but were less likely to report suicidal ideation. They also had higher psychiatric inpatient admission rates but a lower frequency of general practitioner visits. CONCLUSION: People on community treatment orders in Australia may differ from those who are not under a community treatment order in their treatment needs. Resources and care provision must match the needs of this particularly vulnerable group.

Health-related quality of life in people with psychotic disorders: The role of loneliness and its contributors.

BACKGROUND: Perception of loneliness has been identified as the strongest predictor of health-related quality of life assessed with the Assessment of Quality of Life-4D in people with psychotic disorders. We aimed to establish contributors to perceived loneliness, and ascertain the mediating role of loneliness in the relationship between identified contributors to loneliness and other known predictors of health-related quality of life with health-related quality of life. METHODS: Data for 1642 people collected as part of the 2010 Australian National Survey of Psychosis were analysed. Health-related quality of life was assessed using the Assessment of Quality of Life-4D, and loneliness through a single-item five-level categorical variable. To identify independent contributors to loneliness, a statistical model was constructed with reference to a theoretical model comprising 23 variables. A predictive model with health-related quality of life as the dependent variable was then developed and tested to assess the mediating role of loneliness. RESULTS: Nine contributors to loneliness were found (social dysfunction, experienced stigma, contact with friends, diagnosis, depressive symptoms, anxiety, mental health service utilisation, arthritis and traumatic events in childhood), with social dysfunction the strongest. In the prediction of health-related quality of life, all contributors to loneliness were partially mediated through loneliness (except service utilisation) as were negative symptoms and use of psychotropic/anticholinergic medications. CONCLUSION: Assuming a plausible causal model of mediation, loneliness was found to have direct and indirect effects on health-related quality of life in people with psychotic disorders. Findings add impetus to efforts to develop and trial strategies aimed at reducing loneliness in this population, and, in turn, improving their health-related quality of life.

Patterns of psychiatric admission in Australian pregnant and childbearing women.

PURPOSE: The early postnatal period is a time of increased risk for psychiatric admission. However, there is scope to further examine if this increase in risk extends to the entire perinatal period (pregnancy and first postnatal year), and how it compares to admission outside of the perinatal period. METHODS: Data were linked across birth and hospital admission registers from July 2000 to December 2009. The study cohort, consisting of all pregnant and childbearing women with a psychiatric history, was divided into two groups: case women (at least one perinatal principal psychiatric admission in the study period) (38%) and comparison women (no perinatal principal psychiatric admissions) (62%). Outcomes were admission rate and length of stay adjusted for diagnosis, socio-demographic factors and timing of admission. RESULTS: Antenatal and postnatal admissions rates were both higher than non-perinatal admission rates for case women for all diagnoses. There was little evidence that women with perinatal admissions were at an increased risk of admissions at other times. Socially disadvantaged women had significantly fewer and shorter admissions than their respective counterparts. CONCLUSIONS: The entire perinatal period is a time of increased risk for admission across the range of psychiatric disorders, compared to other times in a woman's childbearing years. Reduced admission rate and length of stay for socially disadvantaged women suggest lack of equity of access highlighting the importance of national perinatal mental health policy initiatives inclusive of disadvantaged groups.

The impact of maternal prenatal mental health disorders on stillbirth and infant mortality: a systematic review and meta-analysis.

Evidence about the association between maternal mental health disorders and stillbirth and infant mortality is limited and conflicting. We aimed to examine whether maternal prenatal mental health disorders are associated with stillbirth and/or infant mortality. MEDLINE, Embase, PsycINFO, and Scopus were searched for studies examining the association of any maternal prenatal (occurring before or during pregnancy) mental health disorder(s) and stillbirth or infant mortality. A random-effects meta-analysis was used to calculate pooled odds ratios (ORs) with 95% confidence intervals (CIs). The between-study heterogeneity was quantified using the I2 statistic. Subgroup analyses were performed to identify the source of heterogeneity. Of 4487 records identified, 28 met our inclusion criteria with 27 contributing to the meta-analyses. Over 60% of studies examined stillbirth and 54% of them evaluated neonatal or infant mortality. Thirteen studies investigated the association between maternal depression and anxiety and stillbirth/infant mortality, pooled OR, 1.42 (95% CI, 1.16-1.73; I2, 76.7%). Another 13 studies evaluated the association between severe maternal mental illness and stillbirth/infant mortality, pooled OR, 1.47 (95% CI, 1.28-1.68; I2, 62.3%). We found similar results for the association of any maternal mental health disorders and stillbirth/infant mortality (OR, 1.59; 95% CI, 1.43-1.77) and in subgroup analyses according to types of fetal/infant mortality. We found no significant evidence of publication bias. Maternal prenatal mental health disorders appear to be associated with a moderate increase in the risk of stillbirth and infant mortality, although the mechanisms are unclear. Efforts to prevent and treat these disorders may reduce the scale of stillbirth/infant deaths.

Factors that contribute to urban-rural gradients in risk of schizophrenia: Comparing Danish and Western Australian registers.

INTRODUCTION: An association between schizophrenia and urbanicity has long been observed, with studies in many countries, including several from Denmark, reporting that individuals born/raised in densely populated urban settings have an increased risk of developing schizophrenia compared to those born/raised in rural settings. However, these findings have not been replicated in all studies. In particular, a Western Australian study showed a gradient in the opposite direction which disappeared after adjustment for covariates. Given the different findings for Denmark and Western Australia, our aim was to investigate the relationship between schizophrenia and urbanicity in these two regions to determine which factors may be influencing the relationship. METHODS: We used population-based cohorts of children born alive between 1980 and 2001 in Western Australia (N = 428,784) and Denmark (N = 1,357,874). Children were categorised according to the level of urbanicity of their mother's residence at time of birth and followed-up through to 30 June 2015. Linkage to State-based registers provided information on schizophrenia diagnosis and a range of covariates. Rates of being diagnosed with schizophrenia for each category of urbanicity were estimated using Cox proportional hazards models adjusted for covariates. RESULTS: During follow-up, 1618 (0.4%) children in Western Australia and 11,875 (0.9%) children in Denmark were diagnosed with schizophrenia. In Western Australia, those born in the most remote areas did not experience lower rates of schizophrenia than those born in the most urban areas (hazard ratio = 1.02 [95% confidence interval: 0.81, 1.29]), unlike their Danish counterparts (hazard ratio = 0.62 [95% confidence interval: 0.58, 0.66]). However, when the Western Australian cohort was restricted to children of non-Aboriginal Indigenous status, results were consistent with Danish findings (hazard ratio = 0.46 [95% confidence interval: 0.29, 0.72]). DISCUSSION: Our study highlights the potential for disadvantaged subgroups to mask the contribution of urban-related risk factors to risk of schizophrenia and the importance of stratified analysis in such cases.

Characteristics of people on long-acting injectable antipsychotics in Australia: Data from the 2010 National Survey of High Impact Psychosis.

OBJECTIVE: This study investigates (1) the proportion of people with psychosis who are on long-acting injectable antipsychotics; (2) the difference in the demographic, clinical, substance use and adverse drug reaction profiles of people taking long-acting injectables compared to oral antipsychotics; and (3) the differences in the same profiles of those on first-generation antipsychotic versus second-generation antipsychotic long-acting injectables. METHODS: Data were collected as part of the Survey of High Impact Psychosis. For this study, participants with diagnoses of schizophrenia or schizoaffective disorder who were on any antipsychotic medication were included (N = 1049). RESULTS: Nearly a third (31.5%) of people with psychosis were on long-acting injectables, of whom 49.7% were on first-generation antipsychotic long-acting injectables and 47.9% were on second-generation antipsychotic long-acting injectables. This contrasts with oral antipsychotics where there was a higher utilisation of second-generation antipsychotics (86.3%). Of note, compared to those on the oral formulation, people on long-acting injectables were almost four times more likely to be under a community treatment order. Furthermore, people on long-acting injectables were more likely to have a longer duration of illness, reduced degree of insight, increased cognitive impairment as well as poor personal and social functioning. They also reported more adverse drug reactions. Compared to those on first-generation antipsychotic long-acting injectables, people on SGA long-acting injectables were younger and had had a shorter duration of illness. They were also more likely to experience dizziness and increased weight, but less likely to experience muscle stiffness or tenseness. CONCLUSION: Long-acting injectable use in Australia is associated with higher rates of community treatment order use, as well as poorer insight, personal and social performance, and greater cognitive impairment. While long-acting injectables may have the potential to improve the prognosis of people with psychosis, a better understanding of the choices behind the utilisation of long-acting injectable treatment in Australia is urgently needed.

Mental health recovery and physical health outcomes in psychotic illness: Longitudinal data from the Western Australian survey of high impact psychosis catchments.

OBJECTIVE: There is a dearth of longitudinal data on outcomes in prevalent cases of psychotic illness across a range of ages and levels of chronicity. Our aim was to describe changes over time in mental and physical health outcomes, as well as patterns of service utilisation that may have influenced outcomes, in a representative prevalence sample of 641 Western Australians with a psychotic illness who, at Wave 1, were part of the National Survey of High Impact Psychosis. METHODS: In Wave 1 (2010, 2012), a two-phase design was employed to ensure representativeness: Phase 1 psychosis screening took place in public mental health and non-government organisation services, while, in Phase 2, a randomised sample was interviewed. In Wave 2, 380/641 (59%) of participants were re-interviewed, with interviews staggered between 2013 and 2016 (follow-up time: 2.3-5.6 years). Data collection covered mental and physical health, functioning, cognition, social circumstances and service utilisation. Mental health outcomes were categorised as symptomatic, functional and personal recovery. Physical health outcomes covered metabolic syndrome and its component criteria. RESULTS: In mental health, there were encouraging improvements in symptom profiles, variable change in functional recovery and some positive findings for personal recovery, but not quality of life. Participants ranked physical health second among challenges. Metabolic syndrome had increased significantly. While treatment for underlying cardiovascular risk conditions had improved, rates of intervention were still very low. More people were accessing general practices and more frequently, but there were sharp and significant declines in access to community rehabilitation, psychosocial interventions and case management. CONCLUSION: Although we observed some positive outcomes over time, the sharp decline in access to evidence-based interventions such as community rehabilitation, psychosocial interventions and case management is of great concern and augurs poorly for recovery-oriented practice. Changes in service utilisation appear to have influenced the patterns found.

Reproductive planning, vitamin knowledge and use, and lifestyle risks of women attending pregnancy care with a severe mental illness.

OBJECTIVE: Women with severe mental illnesses are a vulnerable population and little is known about their reproductive planning needs. The aim of our study was to describe rates of unintended pregnancies, postpartum contraception, identify use and knowledge of prenatal/pregnancy vitamins and identify modifiable lifestyle risks. DESIGN: Mixed methods study incorporating a cross-sectional survey and prospective pregnancy data collection. SETTING: A multidisciplinary antenatal clinic in Australia. METHOD: Thirty-eight pregnant women with severe mental illnesses: schizophrenia, schizoaffective, bipolar and severe post-traumatic stress disorder. MAIN OUTCOME MEASURES: Unintended pregnancy rates, immediate postpartum contraception, use of prenatal and pregnancy vitamins and knowledge sources, obesity, and use and cessation rates for smoking, and substances, and comorbid medical conditions. RESULTS: Overall 42% of women had unintended pregnancy, with those with schizophrenia at most risk (56%). A long acting reversible contraception was inserted in 5 women (13%), with 45% having no immediate contraception prescribed prior to postnatal discharge. Women's main source of vitamin supplementation for pregnancy was from general practitioners. Prenatal folic acid use occurred in 37%, with rates differing for those with a diagnosis of bipolar disorder (52%) and schizophrenia (25%). Vitamin deficiencies occurred in pregnancy, with iron deficiency (ferritin <30 ng/mL) (n = 27, 73%) the most frequent. Overall 21% of women smoked cigarettes and 35% were obese. DISCUSSION: Addressing gaps in use of effective contraception, proactive reproductive planning and lifestyle management may improve outcomes for women with mental illnesses and their babies.Key pointsWomen with severe mental illnesses have complex health needs that require targeted reproductive counselling. This study adds to what is known by highlighting that:•Women with schizophrenia appear more likely to have unintended pregnancy.•Prenatal counselling for women with severe mental disorders should include recognition and optimisation of management for the high rates of pre-existing medical comorbidities, obesity and elevated nicotine and substance use.•Many women with severe mental illness need increased doses (5 mg) of prenatal folic acid due to psychotropic medication risk and obesity, as well as treatment for high rates of iron and vitamin D deficiency in pregnancy.

A comparison of trajectories of offending among people with psychotic disorders, other mental disorders and no mental disorders: Evidence from a whole-of-population birth cohort study.

BACKGROUND: Trajectory analysis has been used to study long-term offending patterns and identify offender subgroups, but few such studies have included people with psychotic disorders (PDs) and these have been restricted to adult offenders. AIMS: To compare offending trajectories among 10-26-year-olds with PDs with those with other mental disorders (OMDs) or none (NMD) and identify associated risk factors. METHODS: This is a record-linkage study of 184,147 people born in Western Australia (WA) 1983-1991, drawing on data from WA mental health information system, WA corrective services and other state-wide registers. Group-based trajectory modelling was used to identify offending trajectories. RESULTS: Four offender groups were identified in each mental health status group: G1-no/negligible offending; G2-early onset, adolescent, desisting by age 18; G3-early onset, low rate, offending into early adulthood; and G4-very early onset, high rate, peaking at age 17, continuing into early adulthood. The PDs group had the lowest proportion of individuals with no or negligible offending histories-84% compared with 88.5% in the OMDs group and 96.6% in the no mental disorder group. Within mental health status offender groups, the PDs group was characterised by early or very early onset offending persisting into adulthood, accounting for 5.4% and 3.7% of the group respectively (OMD: 3.8%, 1.5%; NMD: 1.0%, 0.5%). Gender, indigenous status, substance use problems, childhood abuse and parental offending were generally associated with trajectory group membership, although among those with PDs childhood abuse and parental offending were only significant in the early onset-life-course-persistent group. CONCLUSIONS: While most people with PDs never offend, some are disproportionately vulnerable from a particularly early age. If the offending subgroup is to be helped away from criminal justice involvement, interventions must be considered in childhood.

Effects of parental mental illness on children's physical health: systematic review and meta-analysis.

BACKGROUND: Children of parents with mental disorder face multiple challenges. AIMS: To summarise evidence about parental mental disorder and child physical health. METHOD: We searched seven databases for cohort or case-control studies quantifying associations between parental mental disorders (substance use, psychotic, mood, anxiety, obsessive-compulsive, post-traumatic stress and eating) and offspring physical health. Studies were excluded if: they reported perinatal outcomes only (<28 days) or outcomes after age 18; they measured outcome prior to exposure; or the sample was drawn from diseased children. A meta-analysis was conducted. The protocol was registered on the PROSPERO database (CRD42017072620). RESULTS: Searches revealed 15 945 non-duplicated studies. Forty-one studies met our inclusion criteria: ten investigated accidents/injuries; eight asthma; three other atopic diseases; ten overweight/obesity; ten studied other illnesses (eight from low-and middle-income countries (LMICs)). Half of the studies investigated maternal perinatal mental health, 17% investigated paternal mental disorder and 87% examined maternal depression. Meta-analysis revealed significantly higher rates of injuries (OR = 1.15, 95% CI 1.04-1.26), asthma (OR = 1.26, 95% CI 1.12-1.41) and outcomes recorded in LMICs (malnutrition: OR = 2.55, 95% CI 1.74-3.73; diarrhoea: OR = 2.16, 95% CI 1.65-2.84). Evidence was inconclusive for obesity and other atopic disorders. CONCLUSIONS: Children of parents with mental disorder have health disadvantages; however, the evidence base is limited to risks for offspring following postnatal depression in mothers and there is little focus on fathers in the literature. Understanding the physical health risks of these vulnerable children is vital to improving lives. Future work should focus on discovering mechanisms linking physical and mental health across generations. DECLARATION OF INTEREST: None.

Impact of substance use and other risk factor exposures on conviction rates by people with a psychotic illness and other mental disorders.

PURPOSE: To examine the impact of substance use and other risk factors on conviction rates in people with a psychotic illness (PI) and other mental disorders (OMD) compared to those with no mental illness (NMI). METHODS: This research is part of a longitudinal record-linked whole-population study of 467,945 children born in Western Australia (WA) between 1980 and 2001. This cohort was identified through linkages between the WA psychiatric case register, WA corrective services data and other state-wide registers. We assessed 184,147 individuals born during 1983-1991 to explore the impact of exposure to a variety of risk factors on conviction rates. RESULTS: People with PI and OMD had higher conviction rates than those with NMI, with unadjusted incidence rate ratios (IRR) of 3.98 (95% CI 3.67-4.32) for PI and 3.18 (95% CI 3.03-3.34) for OMD. Adjusting for substance use reduced the rates by 60% in PI and 30% in OMD: IRRs 1.59 (95% CI 1.45-1.74) and 2.24 (2.12-2.37), respectively. Minimal change was seen when adjusting for other potential risk factors (including socio-demographics, victimisation and parental offending), with adjusted IRRs 1.58 (95% CI 1.43-1.74) for PI and 1.90 (95% CI 1.80-2.02) for OMD. CONCLUSIONS: Our analysis shows people with a mental illness have higher rates of conviction than those with NMI. Substance use has a major impact on this rate. Results suggest the need for a greater investment in programs addressing the issue of comorbid substance use with a view to reduce the rate of convictions in this population.

The association between gestational diabetes mellitus, antipsychotics and severe mental illness in pregnancy: A multicentre study.

BACKGROUND: There have been conflicting findings for severe mental illnesses and the risk for gestational diabetes mellitus (GDM). Outside of pregnancy, both severe mental illnesses and specific antipsychotic medications have been associated with an elevated risk for metabolic disorders, including type 2 diabetes mellitus. AIM: This study examined the risk of developing GDM in relation to mental disorder, psychotropic treatment and comorbid risk factors. MATERIALS AND METHODS: A retrospective study of 539 pregnant women with mental disorders was carried out. Measures included GDM diagnosis, mental health diagnosis, psychotropic medication, body mass index, age, smoking, alcohol and illicit substance use. RESULTS: This study found that women with psychotic disorders had a significantly elevated risk for GDM (20.9%) compared with women with non-psychotic severe mental illnesses during pregnancy (P = 0.023), and nearly threefold the expected population rate (8.3%). Furthermore, women using specific antipsychotic agents - risperidone (P = 0.016), clozapine (P < 0.001) and higher-dose quetiapine (P = 0.029) - also had a higher risk of developing GDM. After adjusting for maternal age and body mass index, women taking these specific agents continued to have a fourfold risk of having GDM compared with women not taking these agents. Smoking, alcohol consumption and illicit drug use were not associated with elevated GDM rate in women with mental disorders. CONCLUSIONS: These findings support the need for early screening and closer surveillance of metabolic risk in pregnancy for women with psychotic disorders and those taking specific atypical antipsychotic agents.

Use of the Communication Checklist - Self Report (Cc-Sr) in Schizophrenia: Language Impairments Correlate with Poor Premorbid Social Adjustment.

BACKGROUND: The present study reports preliminary results from the multicentre project on the approbation of the Russian language version of the "The Communication Checklist-Self Report" (RL-CC-SR) and its first use in schizophrenia (SZ), aiming to evaluate the contribution of language disturbances in the pathogenesis of this heterogeneous disorder. SUBJECTS AND METHODS: The study evaluated patients' clinical state with the Diagnostic Interview for Psychoses (DIP), and assessed language and communication disturbances (LCD) with the RL-CC-SR in all participants (213 healthy controls (HC), 83 SZ patients, 31 SZ first-degree relatives). Data from the current sample of SZ (n=50), and HC (n=213) was analysed to calculate the relationships between LCD, social and clinical variables using descriptive statistics methods, T-test and Pearson's correlations (SPSS-26, 2019). RESULTS: The quotient scores (<6) and raw scores on all three CC-SR subscales demonstrated prominent LCD in SZ: (i) language structure (LS) (SZ:11.92±8.01, HC:7.54±5.91; p<0.001), (ii) pragmatic skills (PS) (SZ:11.30±10.07, HC:8.71±7.39; p=0.040), (iii) social engagement (SE) (SZ:31.94±11.76, HC:19.42±10.35; p<0.001). In SZ, Pearson correlations of LS scores were significant for the DIP-items Odd Speech (p=0.033), and Social Engagement - Blunted Affect (p=0.042). PS was related to early disease onset (p=0.027), poor premorbid work adjustment (p=0.003), along with LS (p=0.005), and was also linked to poor premorbid social adjustment (p=0.005). CONCLUSIONS: SZ patients are aware of their LCD at all levels of language structure, pragmatics, and nonverbal communication, but are unable to compensate. Disturbances of LS and PS in SZ patients relate to their poor social adjustment and functioning, and may prove to be associated with the primary negative symptoms domain of the disorder and its generally poor outcome.

Are familial liability for schizophrenia and obstetric complications independently associated with risk of psychotic illness, after adjusting for other environmental stressors in childhood?

OBJECTIVE: The interplay between genetic and environmental factors on risk for psychotic illness remains poorly understood. The aim of this study was to estimate independent and combined effects of familial liability for schizophrenia and exposure to obstetric complications on risk for developing psychotic illness, covarying with exposure to other environmental stressors. METHODS: This whole-population birth cohort study used record linkage across Western Australian statewide data collections (midwives, psychiatric, hospital admissions, child protection, mortality) to identify liveborn offspring (n = 1046) born 1980-1995 to mothers with schizophrenia, comparing them to offspring of mothers with no recorded psychiatric history (n = 298,370). RESULTS: Both maternal schizophrenia and pregnancy complications were each significantly associated with psychotic illness in offspring, with no interaction. Non-obstetric environmental stressors significantly associated with psychotic illness in offspring included the following: being Indigenous; having a mother who was not in a partnered relationship; episodes of disrupted parenting due to hospitalisation of mother, father or child; abuse in childhood; and living in areas of greatest socioeconomic disadvantage and with elevated rates of violent crime. Adjustment for these other environmental stressors reduced the hazard ratio for maternal schizophrenia substantially (from hazard ratio: 5.7, confidence interval: 4.5-7.2 to hazard ratio: 3.5, confidence interval: 2.8-4.4), but not the estimate for pregnancy complications (hazard ratio: 1.1, confidence interval: 1.0-1.2). The population attributable fraction for maternal schizophrenia was 1.4 and for pregnancy complications was 2.1. CONCLUSION: Our finding of a substantial decrease in risk of psychotic illness associated with familial liability for psychosis following adjustment for other environmental stressors highlights potentially modifiable risk factors on the trajectory to psychotic illness and suggests that interventions that reduce or manage exposure to these risks may be protective, despite a genetic liability.

Policy Impacts of the Australian National Perinatal Depression Initiative: Psychiatric Admission in the First Postnatal Year.

This paper helps to quantify the impact of the Australian National Perinatal Depression Initiative (NPDI) on postnatal inpatient psychiatric hospitalisation. Based on individual hospital admissions data from New South Wales and Western Australia, we found that the NPDI reduced inpatient psychiatric hospital admission by up to 50% [0.9% point reduction (95% CI 0.70-1.22)] in the first postnatal year. The greatest reduction was observed for adjustment disorders. The NPDI appears to be associated with fewer post-birth psychiatric disorders hospital admissions; this suggests earlier detection of psychiatric disorders resulting in early care of women at risk during their perinatal period.