Impact of an injury hospital admission on childhood academic performance: a Welsh population-based data linkage study.

BACKGROUND: While injuries can impact on children's educational achievements (with threats to their development and employment prospects), these risks are poorly quantified. This population-based longitudinal study investigated the impact of an injury-related hospital admission on Welsh children's academic performance. METHODS: The Secure Anonymised Information Linkage databank, 55 587 children residing in Wales from 2006 to 2016 who had an injury hospital admission (58.2% males; 16.8% born in most deprived Wales area; 80.1% one injury hospital admission) were linked to data from the Wales Electronic Cohort for Children. The primary outcome was the Core Subject Indicator reflecting educational achievement at key stages 2 (school years 3-6), 3 (school years 7-9) and 4 (school years 10-11). Covariates in models included demographic, birth, injury and school characteristics. RESULTS: Educational achievement of children was negatively associated with: pedestrian injuries (adjusted risk ratio, (95% CIs)) (0.87, (0.83 to 0.92)), cyclist (0.96, (0.94 to 0.99)), high fall (0.96, (0.94 to 0.97)), fire/flames/smoke (0.85, (0.73 to 0.99)), cutting/piercing object (0.96, (0.93 to 0.99)), intentional self-harm (0.86, (0.82 to 0.91)), minor traumatic brain injury (0.92, (0.86 to 0.99)), contusion/open wound (0.93, (0.91 to 0.95)), fracture of vertebral column (0.78, (0.64 to 0.95)), fracture of femur (0.88, (0.84 to 0.93)), internal abdomen/pelvic haemorrhage (0.82, (0.69 to 0.97)), superficial injury (0.94, (0.92 to 0.97)), young maternal age (<18 years: 0.91, (0.88 to 0.94); 19-24 years: 0.94, (0.93 to 0.96)); area based socioeconomic status (0.98, (0.97 to 0.98)); moving to a more deprived area (0.95, (0.93 to 0.97)); requiring special educational needs (0.46, (0.44 to 0.47)). Positive associations were: being female (1.04, (1.03 to 1.06)); larger pupil school sizes and maternal age 30+ years. CONCLUSION: This study highlights the importance on a child's education of preventing injuries and implementing intervention programmes that support injured children. Greater attention is needed on equity-focused educational support and social policies addressing needs of children at risk of underachievement, including those from families experiencing poverty. VIBES-JUNIOR STUDY PROTOCOL: http://dx.doi.org/10.1136/bmjopen-2018-024755.

Estimating dental age of New Zealand juveniles and subadults using Demirjian's method.

Reference data for dental age estimate is sparse in New Zealand (NZ), with only two contemporary studies. Te Moananui et al. (J For Sci. 53(2), 2008) presented modified Demirjian percentile curves to estimate dental age of Pasifika, Maori, and European males and females (n = 1383), while Timmins et al. (Forensic Sci Med Pathol. 8:101-8, 2012) found the Demirjian method (1973) was valid for a smaller sample (n = 200) of unknown ancestry. The study presented here sought to validate the Demirjian and the Te Moananui methods for a sample of the NZ population of unknown ancestry and a subgroup of known ancestry i.e., Pasifika, Maori and European, for males and females. The Demirjian method (1976) was applied to the current study's sample consisting of 3523 individuals aged 4 to < 20 years. The seven left mandibular teeth (third molar excluded) and tooth scores were summed for each individual, with the Te Moananui methods applied to this subgroup. The results revealed these methods to be less than ideal for estimating dental age of the NZ sample, for both males and females. The probit regression form of Transition Analysis (TA) was employed to calculate the mean age entering each tooth stage, for the seven teeth, to reduce age mimicry that is commonly associated with traditional regression analysis. TA results revealed Pasifika and Maori individuals to be more advanced than Caucasian individuals. The sex groups were also compared to the mean ages presented by Demirjian and Levesque with mixed results (J Dent Res. 59(7):1110-22, 1980), highlighting the need for more research in this area.

Predictors of health-related quality of life following injury in childhood and adolescence: a pooled analysis.

BACKGROUND: Injury is a leading contributor to the global disease burden in children and places children at risk for adverse and lasting impacts on their health-related quality of life (HRQoL) and development. This study aimed to identify key predictors of HRQoL following injury in childhood and adolescence. METHODS: Data from 2259 injury survivors (<18 years when injured) were pooled from four longitudinal cohort studies (Australia, Canada, UK, USA) from the paediatric Validating Injury Burden Estimates Study (VIBES-Junior). Outcomes were the Paediatric Quality of Life Inventory (PedsQL) total, physical, psychosocial functioning scores at 1, 3-4, 6, 12, 24 months postinjury. RESULTS: Mean PedsQL total score increased with higher socioeconomic status and decreased with increasing age. It was lower for transport-related incidents, ≥1 comorbidities, intentional injuries, spinal cord injury, vertebral column fracture, moderate/severe traumatic brain injury and fracture of patella/tibia/fibula/ankle. Mean PedsQL physical score was lower for females, fracture of femur, fracture of pelvis and burns. Mean PedsQL psychosocial score was lower for asphyxiation/non-fatal submersion and muscle/tendon/dislocation injuries. CONCLUSIONS: Postinjury HRQoL was associated with survivors' socioeconomic status, intent, mechanism of injury and comorbidity status. Patterns of physical and psychosocial functioning postinjury differed according to sex and nature of injury sustained. The findings improve understanding of the long-term individual and societal impacts of injury in the early part of life and guide the prioritisation of prevention efforts, inform health and social service planning to help reduce injury burden, and help guide future Global Burden of Disease estimates.

A novel way to quantify schizophrenia symptoms in clinical trials.

BACKGROUND: A major problem in quantifying symptoms of schizophrenia is establishing a reliable distinction between enduring and dynamic aspects of psychopathology. This is critical for accurate diagnosis, monitoring and evaluating treatment effects in both clinical practice and trials. MATERIALS AND METHODS: We applied Generalizability Theory, a robust novel method to distinguish between dynamic and stable aspects of schizophrenia symptoms in the widely used Positive and Negative Symptom Scale (PANSS) using a longitudinal measurement design. The sample included 107 patients with chronic schizophrenia assessed using the PANSS at five time points over a 24-week period during a multi-site clinical trial of N-Acetylcysteine as an add-on to maintenance medication for the treatment of chronic schizophrenia. RESULTS: The original PANSS and its three subscales demonstrated good reliability and generalizability of scores (G = 0.77-0.93) across sample population and occasions making them suitable for assessment of psychosis risks and long-lasting change following a treatment, while subscales of the five-factor models appeared less reliable. The most enduring symptoms represented by the PANSS were poor attention, delusions, blunted affect and poor rapport. More dynamic symptoms with 40%-50% of variance explained by patient transient state including grandiosity, preoccupation, somatic concerns, guilt feeling and hallucinatory behaviour. CONCLUSIONS: Identified dynamic symptoms are more amendable to change and should be the primary target of interventions aiming at effectively treating schizophrenia. Separating out the dynamic symptoms would increase assay sensitivity in trials, reduce the signal to noise ratio and increase the potential to detect the effects of novel therapies in clinical trials.

Impact of exposure to mine fire emitted PM2.5 on ambulance attendances: A time series analysis from the Hazelwood Health Study.

BACKGROUND: For six weeks from February 9, 2014, smoke and ash from a fire in the Morwell open cut brown coal mine adjacent to the Hazelwood power station covered parts of the Latrobe Valley, in south eastern Australia. AIMS: To evaluate the health impact of the mine fire, daily counts of ambulance attendances from July 2010 to March 2015 were analysed. METHODS: Time series models were used to evaluate the relative risk of ambulance attendances during the mine fire, in comparison with the remainder of the analysis period, and to also assess the risk of ambulance attendances associated with lagged effects of exposure to mine fire-related PM2.5 levels. The models controlled for factors likely to influence ambulance attendances including seasonality, long-term temporal trends, day of the week, daily maximum temperature and public holidays. RESULTS: A 10 µg/m3 increase in fire-related PM2.5 was found to be associated with a 42% (95%CI: 14-76%) increase in ambulance attendances for respiratory conditions and a 7% (0-14%) increase in all ambulance attendances over a 20-day lag period. A smaller effect associated with exposure to fire-related PM2.5 was identified when assuming shorter lag effects. Similar results were identified when assessing whether ambulance attendances increased during the 30-day mine fire period. There was a 15% (8-21%) increased risk of ambulance attendances for all conditions and a 47% (19-81%) increased risk for respiratory conditions during the mine fire period. CONCLUSIONS: Exposure to smoke and ash from a fire in an open cut brown coal mine was associated with increased ambulance attendances, particularly for respiratory conditions. These findings guide the development and implementation of effective and timely strategies and health service planning to respond and mitigate health risks that arise in affected communities during future major air pollution episodes.

Health status after penetrating major trauma in Victoria, Australia: a registry-based cohort study.

PURPOSE: As few studies have examined long-term health after penetrating injury, this population-based registry study sought to assess health outcomes up to 24 months post-injury. METHODS: Major trauma patients with penetrating trauma (2009-2017) were included from the Victorian State Trauma Registry (N = 1,067; 102 died, 208 were lost to follow-up). The EQ-5D-3L was used to measure health status at 6, 12 and 24-months. Mixed linear and logistic regressions were used to examine predictors of summary scores, and problems versus no problems on each health dimension. RESULTS: Average health status summary scores were 0.70 (sd = 0.26) at 6 and 12 months, and 0.72 (sd = 0.26) at 24 months post-injury. Prevalence of problems was consistent over time: mobility (24-26%), self-care (17-20%), usual activities (47-50%), pain/discomfort (44-49%), and anxiety/depression (54-56%). Lower health status and reporting problems was associated with middle-older age, female sex, unemployment; pre-injury disability, comorbid conditions; and assault and firearm injury versus cutting/piercing. CONCLUSION: Problems with usual activities, pain/discomfort and anxiety or depression are common after penetrating major trauma. Risk factor screening in hospital could be used to identify people at risk of poor health outcomes, and to link people at risk with services in hospital or early post-discharge to improve their longer-term health outcomes.

Orofacial injuries in child family homicide: a population study.

Child family violence homicide (FVH) is a significant public health problem in Australia and globally. Population-wide studies of orofacial injuries in child FVH are uncommon despite their recognized importance. This whole population descriptive study of orofacial injuries in child FVH in Victoria, Australia aims to implement a novel methodological approach to provide an overview of child FVH and describe frequency and patterns of abusive orofacial injuries. Closed cases of child FVH aged 0-17 years, January 2000-December 2018, were identified from screening all Victorian assault deaths for eligible offender relationships. Significant associations of clinical/demographic characteristics were explored using two-step clustering and the Spearman correlation coefficient. Of 895 closed homicide cases, 358 were FV-related. Of the 53 child FVH, 40 were eligible for injury analysis with 36 of these cases (90%) having orofacial injuries. Among these 36 cases, 72% were aged 0-4 years, males predominated (64%) and the injury mechanism was blunt force for 56%. The discrete orofacial injury frequency was associated with the non-orofacial injury frequency (rho: 0.362, 2-tailed p < 0.03). A three-cluster statistical solution was identified, each represented by an injury mechanism. The largest cluster identified a pattern of blunt force trauma in 0-4 years with drug presence, high average non-orofacial injury numbers and parent-offenders. A novel methodological approach was implemented to comprehensively describe the frequency, nature, patterns and risk indicators of orofacial injuries in child FVH. It explored associations between a wide range of clinical and demographic characteristics, which might have otherwise been missed in summary description. These methods will potentially underpin future comparative studies of intentional-unintentional child injuries and fatal-nonfatal child abuse. The study narrows a significant research gap regarding patterns of inflicted injuries, and demographic and clinical indicators in child FVH potentially informing future systematic classification processes, risk assessment tools and pathways to FV intervention.

An Exploration of Pain Documentation for People Living with Dementia in Aged Care Services.

BACKGROUND: Pain in people with dementia is a common occurrence. Providing evidence-based pain management for people with dementia in residential aged care services is imperative to providing quality care. However, it remains unclear from current research how various aged care staff (Registered Nurses (RNs), Enrolled Nurses (ENs), Personal Care Assistants (PCAs)) engage at specific points of the pain management pathway. With structural changes to the residential aged care workforce over the past two decades, understanding the relative contributions of these aged care staff to pain management practices is crucial for future practice development. AIM: To investigate the quality and completeness of pain documentation for people living with dementia, and assess the extent to aged care staff are engaged in documentation processes. DESIGN: A three-month retrospective documentation audit. SETTING AND PARTICIPANTS: The audit was conducted on the files of 114 residents with moderate to very severe dementia, across four Australian residential aged care facilities. METHODS: Data was collected on each resident's pain profile (n=114). One hundred and sixty-nine (169) pain episodes were audited for quality and completeness of pain documentation and the extent to which aged care staff (RNs/ENs and PCAs) were engaged in the documentation of pain management. RESULTS: Twenty-nine percent of pain episodes had no documentation about how resident pain was identified and only 22% of the episodes contained an evidence-based (E-B) assessment. At least one intervention was documented for 89% of the pain episodes, the majority (68%) being non-pharmacological. Only 8% of pain episodes had an E-B evaluation reported. Thirteen percent (13%) of episodes contained information across all four pain management domains (Identification/ problems, assessment, intervention and evaluation). Documentation by PCAs was evident at all points in the pain management pathway. PCAs were responsible for considerately more episodes of assessment (50% vs 18%) compared to nursing staff. CONCLUSION AND CLINICAL IMPLICATIONS: Despite the high prevalence of pain in people with dementia in aged care settings, current pain management documentation does not reflect best practice standards. Future capacity building initiatives must engage PCAs, as key stakeholders in pain management, with support and clinical leadership of nursing staff.

Getting RID of the blues: Formulating a Risk Index for Depression (RID) using structural equation modeling.

OBJECTIVE: While risk factors for depression are increasingly known, there is no widely utilised depression risk index. Our objective was to develop a method for a flexible, modular, Risk Index for Depression using structural equation models of key determinants identified from previous published research that blended machine-learning with traditional statistical techniques. METHODS: Demographic, clinical and laboratory variables from the National Health and Nutrition Examination Study (2009-2010, N = 5546) were utilised. Data were split 50:50 into training:validation datasets. Generalised structural equation models, using logistic regression, were developed with a binary outcome depression measure (Patient Health Questionnaire-9 score ⩾ 10) and previously identified determinants of depression: demographics, lifestyle-environs, diet, biomarkers and somatic symptoms. Indicative goodness-of-fit statistics and Areas Under the Receiver Operator Characteristic Curves were calculated and probit regression checked model consistency. RESULTS: The generalised structural equation model was built from a systematic process. Relative importance of the depression determinants were diet (odds ratio: 4.09; 95% confidence interval: [2.01, 8.35]), lifestyle-environs (odds ratio: 2.15; 95% CI: [1.57, 2.94]), somatic symptoms (odds ratio: 2.10; 95% CI: [1.58, 2.80]), demographics (odds ratio:1.46; 95% CI: [0.72, 2.95]) and biomarkers (odds ratio:1.39; 95% CI: [1.00, 1.93]). The relationships between demographics and lifestyle-environs and depression indicated a potential indirect path via somatic symptoms and biomarkers. The path from diet was direct to depression. The Areas under the Receiver Operator Characteristic Curves were good (logistic:training = 0.850, validation = 0.813; probit:training = 0.849, validation = 0.809). CONCLUSION: The novel Risk Index for Depression modular methodology developed has the flexibility to add/remove direct/indirect risk determinants paths to depression using a structural equation model on datasets that take account of a wide range of known risks. Risk Index for Depression shows promise for future clinical use by providing indications of main determinant(s) associated with a patient's predisposition to depression and has the ability to be translated for the development of risk indices for other affective disorders.

Data Integration Protocol In Ten-steps (DIPIT): a new standard for medical researchers.

INTRODUCTION: The exponential increase in data, computing power and the availability of readily accessible analytical software has allowed organisations around the world to leverage the benefits of integrating multiple heterogeneous data files for enterprise-level planning and decision making. Benefits from effective data integration to the health and medical research community include more trustworthy research, higher service quality, improved personnel efficiency, reduction of redundant tasks, facilitation of auditing and more timely, relevant and specific information. The costs of poor quality processes elevate the risk of erroneous outcomes, an erosion of confidence in the data and the organisations using these data. To date there are no documented set of standards for best practice integration of heterogeneous data files for research purposes. Therefore, the aim of this paper is to describe a set of clear protocol for data file integration (Data Integration Protocol In Ten-steps; DIPIT) translational to any field of research. METHODS AND RESULTS: The DIPIT approach consists of a set of 10 systematic methodological steps to ensure the final data are appropriate for the analysis to meet the research objectives, legal and ethical requirements are met, and that data definitions are clear, concise, and comprehensive. This protocol is neither file specific nor software dependent, but aims to be transportable to any data-merging situation to minimise redundancy and error and translational to any field of research. DIPIT aims to generate a master data file that is of the optimal integrity to serve as the basis for research analysis. CONCLUSION: With linking of heterogeneous data files becoming increasingly common across all fields of medicine, DIPIT provides a systematic approach to a potentially complex task of integrating a large number of files and variables. The DIPIT protocol will ensure the final integrated data is consistent and of high integrity for the research requirements, useful for practical application across all fields of medical research.

Identifying overcontrol and undercontrol personality types among young people using the five factor model, and the relationship with disordered eating behaviour, anxiety and depression.

BACKGROUND: Overcontrol and undercontrol personality types have been associated with an increase in eating pathology, depression and anxiety. The aim of the research was to explore whether latent overcontrol and undercontrol personality types could be identified using cluster analysis of the facets of the five factor model (FFM). We further aimed to understand how these personality types were associated with eating pathology, depressed mood and anxiety. METHODS: A total of 561 participants (394 women and 167 men), aged 16-30 years in Australia completed a survey designed to assess disordered eating, FFM personality traits, anxiety, depression and stress. A systematic four-step process using hierarchical, k-means, and random forest cluster analyses were used to identify a meaningful 3-cluster solution. RESULTS: The results revealed a cluster solution that represented overcontrol, undercontrol and resilient personality types, and highlighted facets of the FFM that were associated with each type. Both overcontrol and undercontrol personality types were associated with increased clinical symptoms compared to the resilient types. CONCLUSIONS: It was concluded that FFM facets may potentially be more meaningful than broad domains in identifying personality types, and that both overcontrol and undercontrol personality types are likely associated with increased clinical symptoms.

Personality has previously been found to be strongly related to eating disorders and disordered eating. A person's personality is made up by a series of personality traits. A series of traits grouped together is called a personality type. Three broad personality types have been identified consistently in previous research, being overcontrol (rigid, perfectionistic), undercontrol (impulsive, mood dependent) and resilient (flexible, low pathology). Understanding eating disorders in the context of overcontrol, undercontrol and resilient personality types has been found to be predict disordered eating behaviour and treatment course for people with eating disorders. This study aimed to identify personality types using the well known five factor model of personality among a group of Australian young people. We also aimed to understand the relationships between personality type and eating pathology. It was found that a wider range of personality traits may be more meaningful than broad domains in identifying personality types. It was further found that individuals who were overcontrol or undercontrol were more likely to experience eating pathology and disordered eating compared to resilient types. Overall, this means that that the five factor model of personality may be useful for identifying people at risk for developing an eating disorder and to consider treatment needs.

Temporal trends of transport-related injuries on New Zealand roads.

AIM: This observational study aimed to investigate temporal trends in transport-related injuries in New Zealand by mode of transport and explore whether specific population groups and localities have a relatively higher incidence of injury. These trends provide insight into changes in injury patterns from road trauma. METHODS: A retrospective study of hospitalised road trauma in New Zealand was conducted between 1 July 2017 to 30 June 2021. Data were obtained from the National Minimum Dataset of hospital admissions, and the New Zealand Trauma Registry (NZTR). Road trauma was identified using ICD-10 coding, and major trauma using Abbreviated Injury Scale (AIS) coding. Analysis included road trauma by mode, ethnicity, rurality and population rates. Statistical analysis included Interrupted Time Series (ITS) analysis to account for the impact of COVID-19 on road trauma. RESULTS: Over the 4-year period there were 20,607 incidents of transport-related injury that resulted in admission to a New Zealand hospital. Of these, 14.5% (2,992) involved injuries that were classified as major trauma. Car occupants accounted for 62% of hospitalisations, followed by motorcyclists (23%), pedestrians (9%) and pedal cyclists (4%). Temporal trends showed no reduction in injuries from cars, pedal cyclists and pedestrian injuries, but an increase in motorcycling injuries. Maori had an age-standardised incidence rate almost 3.5 times higher than the rate for Asian peoples. CONCLUSION: The increases in motorcycling injuries and no changes in pedestrian and cycling injuries, as well as demographic variation, highlight the need to focus on vulnerable road users. Effective and targeted initiatives on vulnerable road users will support objectives to reduce deaths and serious injury on New Zealand roads. Enhanced exposure data is needed for vulnerable road users to account for mobility changes over time. Linked data across population-based datasets is an important asset that enhances our understanding of road traffic injuries and allows evidence-based countermeasures to be developed.

Trampoline Park Injury Trends.

OBJECTIVES: Trampolines are an important cause of childhood injury and focus of injury prevention. Understanding and prevention of trampoline park injury is constrained by inadequate exposure data to estimate the at-risk population. This study aimed to measure trampoline park injury incidence and time trends using industry data. METHODS: Cross-sectional study to retrospectively analyze reported injuries and exposure in 18 trampoline parks operating in Australia and the Middle East, from 2017 to 2019. Exposure was derived from ticket sales and expressed as jumper hours. Exposure-adjusted incidence was measured using marginalized 0-inflated Poisson modeling and time trends using Joinpoint regression. RESULTS: There were 13 256 injured trampoline park users reported from 8 387 178 jumper hours; 11% sustained significant injury. Overall, trampoline park injuries occurred at a rate of 1.14 injuries per 1000 jumper hours (95% confidence intervals 1.00 to 1.28), with rates highest for high-performance (2.11/1000 jumper hours, 1.66 to 2.56) and inflatable bag or foam pit (1.91/1000 jumper hours, 1.35 to 2.50) jumping. Significant injuries occurred at a rate of 0.11 injuries per 1000 jumper hours (0.10 to 0.13), with rates highest for high-performance (0.29/1000 jumper hours, 0.23 to 0.36), and parkour (0.22/1000 jumper hours, 0.15 to 0.28) jumping. Overall, injury rates decreased by 0.72%/month (-1.05 to -0.40) over the study period. CONCLUSIONS: Trampoline park injuries occur in important numbers with sometimes serious consequences. However, within these safety standard-compliant parks, exposure-adjusted estimates show injuries to be uncommon and injury rates to be declining. Further reductions are required, especially severe injuries, and this study can enhance injury prevention initiatives.

One size does not fit all: Exploring how the five-factor model facets predict disordered eating behaviours among adolescent and young adult males and females.

There is a wealth of research that has highlighted the relationship between personality and eating disorders. It has been suggested that understanding how subclinical disordered eating behaviours are uniquely associated with personality can help to improve the conceptualization of individuals with eating disorders. This study aimed to explore how the facets of the Five-Factor Model (FFM) predicted restrictive eating, binge eating, purging, chewing and spitting, excessive exercising and muscle building among males and females. An online survey assessing disordered eating behaviours, FFM and general psychopathology was completed by 394 females and 167 males aged between 16 and 30 years. Simultaneous equations path models were systematically generated for each disordered eating behaviour to identify how the FFM facets, body dissatisfaction and age predicted behaviour. The results indicated that each of the six disordered behaviours were predicted by a unique pattern of thinking, feeling and behaving. Considerable differences between males and females were found for each path model, suggesting differences between males and females in the personality traits that drive disordered eating behaviours. It was concluded that it is important to take personality into account when treating males and females who engage in disordered eating behaviours.

Family violence homicide rates: a state-wide comparison of three data sources in Victoria, Australia.

BACKGROUND: Family violence homicide (FVH) is a major public health and social problem in Australia. FVH trend rates are key outcomes that determine the effectiveness of current management practices and policy directions. Data source-related methodological problems affect FVH research and policy and the reliable measurement of homicide trends. OBJECTIVE: This study aimed to determine data reliability and temporal trends of Victorian FVH rates and sex and relationship patterns. METHOD: FVH rates per 100,000 persons in Victoria were compared between the National Coronial Information System (NCIS), Coroners Court of Victoria (CCoV) Homicide Register, and the National Homicide Monitoring Program (NHMP). Trends for 2001-2017 were analysed using Joinpoint regression. Crude rates were determined by sex and relationship categories using annual frequencies and Australian Bureau of Statistics population estimates. RESULTS: NCIS closed FVH cases totalled 360, and an apparent downward trend in the FVH rate was identified. However, CCoV and NHMP rates trended upwards. While NCIS and CCoV were case-based, NHMP was incident-based, contributing to rate variations. The NCIS-derived trend was particularly impacted by unavailable case data, potential coding errors and entry backlog. Neither CCoV nor NHMP provided victim-age in their public domain data to enable age-adjusted rate comparison. CONCLUSION: Current datasets have limitations for FVH trend determination; most notably lag times for NCIS data. IMPLICATIONS: This study identified an indicative upward trend in FVH rates in Victoria, suggesting insufficiency of current management and policy settings for its prevention and control.

Dimensional personality pathology and disordered eating in young adults: measuring the DSM-5 alternative model using the PID-5.

Introduction: The Personality Inventory for DSM-5 (PID-5) is a self-report measure of personality pathology designed to measure pathological personality traits outlined in the DSM-5 alternative model of personality disorders. Within the extensive literature exploring the relationship between personality and disordered eating, there are few that explore the relationship between the PID-5 and disordered eating behaviours in a non-clinical sample of males and females: restrictive eating, binge eating, purging, chewing and spitting, excessive exercising and muscle building. Methods: An online survey assessed disordered eating, PID-5 traits and general psychopathology and was completed by 394 female and 167 male participants aged 16-30. Simultaneous equations path models were systematically generated for each disordered eating behaviour to identify how the PID-5 scales, body dissatisfaction and age predicted behaviour. Results: The results indicated that each of the six disordered behaviours were associated with a unique pattern of maladaptive personality traits. The statistical models differed between males and females indicating possible differences in how dimensional personality pathology and disordered eating relate. Discussion: It was concluded that understanding disordered eating behaviour in the context of personality pathology may assist formulating potentially risky behaviour.

Using network analyses to characterise Australian and Canadian frequent attenders to the emergency department.

OBJECTIVE: To explore and compare the characteristics of frequent attenders to the ED at an Australian and a Canadian tertiary hospitals by utilising a network analysis approach. METHODS: We conducted a retrospective population-based study using administrative data over the 2018 and 2019 calendar years. Participants were from a tertiary hospital in Melbourne, Australia, and Toronto, Canada. Frequent attenders were defined as patients with four or more visits in 12 months. Characteristics of younger (18-39 years), middle-aged (40-69 years) and older (70 years and older) frequent attenders were described using descriptive statistics and network analyses. RESULTS: Younger frequent attenders were characterised by mental illness and substance use, while older frequent attenders had high rates of physical (including chronic) diseases. Middle-aged frequent attenders were characterised by a combination of mental and physical illnesses. These findings were observed at both hospitals. Across all age groups, the network analyses between the Melbourne and Toronto hospitals were different. Among older frequent attender visits, more diagnoses were associated with high triage acuity at the Toronto hospital than at the Melbourne hospital. Some associations were similar at both sites, for example, the negative correlation between high triage acuity and joint pain. CONCLUSION: Younger, middle-aged and older frequent attenders have distinct characteristics, made readily apparent by using network analyses. Future interventions to reduce ED visits should consider the heterogeneity of frequent attenders who have needs specific to their age, presenting problems and jurisdiction.

Long-term outcomes of major trauma patients with concussion.

INTRODUCTION: Concussion may be sustained in the setting of injuries to multiple body regions and persistent effects of concussion may impact recovery. This project aimed to evaluate the association between concussion and 6-month and 12-month functional outcomes in survivors after major trauma. METHODS: This was a registry-based cohort study that included adult patients with major trauma who presented to hospital between 01 Jan 2008 and 31 Dec 2017 and survived to hospital discharge. We excluded patients presenting with a Glasgow Coma Scale score <13 and those diagnosed with other intracranial injuries. Additionally, from the non-concussed group, patients with fractured skull and/or face were excluded, with the assumption that such patients may have had undiagnosed concussion. A good recovery was considered for Glasgow Outcome Scale-Extended (GOS-E) scores of 7 or 8. In addition, we assessed for patient reported anxiety and/or depression measured using the 3-level EuroQol 5 dimensions questionnaire. A modified mixed effects Poisson models with random intercepts for participant was used to assess the association between concussion and outcome. RESULTS: There were 28,161 eligible patients and 12,822 met inclusion criteria. Concussion was diagnosed in 1860 patients (14.5%; 95%CI: 13.9-15.1). There was no association between concussion and good recovery at 12 months (aRR 1.05 (95%CI: 0.99-1.11). There was no association between concussion and anxiety and/or depression at 12 months (aRR 1.03; 95%CI: 0.99-1.07). CONCLUSIONS: Concussion was sustained among 14.5% of included patients in the setting of major trauma but not associated with longer-term adverse outcomes using GOS-E. Concussed patients did not report differential rates of anxiety and/or depression.

Understanding suicidality in Pacific adolescents in New Zealand using network analysis.

INTRODUCTION: Pacific adolescents in New Zealand (NZ) are three to four times more likely than NZ European adolescents to report suicide attempts and have higher rates of suicidal plans. Suicidal thoughts, plans, and attempts, termed suicidality in this study, result from a complex dynamic interplay of factors, which emerging methodologies like network analysis aim to capture. METHODS: This study used cross-sectional network analysis to model the relationships between suicidality, self-harm, and individual depression symptoms, whilst conditioning on a multi-dimensional set of variables relevant to suicidality. A series of network models were fitted to data from a community sample of New Zealand-born Pacific adolescents (n = 550; 51% male; Mean age (SD) = 17 (0.35)). RESULTS: Self-harm and the depression symptom measuring pessimism had the strongest associations with suicidality, followed by symptoms related to having a negative self-image about looks and sadness. Nonsymptom risk factors for self-harm and suicidality differed markedly. CONCLUSIONS: Depression symptoms varied widely in terms of their contribution to suicidality, highlighting the valuable information gained from analysing depression at the symptom-item level. Reducing the sources of pessimism and building self-esteem presented as potential targets for alleviating suicidality amongst Pacific adolescents in New Zealand. Suicide prevention strategies need to include risk factors for self-harm.