Investigating skeletal fracture patterns in truck occupants involved in fatal motor vehicle incidents.

Globally, thousands of truck occupants die annually from motor vehicle incidents. During medico-legal investigations of such incidents, forensic practitioners are required to undertake thorough examinations of the injuries present. Despite this, very few studies assessing skeletal fractures in particular, in deceased truck occupants are currently available in the literature for practitioners.

Exploring interaction effects of social determinants of health with hospital admission type on academic performance: a data linkage study.

Objective: To investigate the moderating effects of socio-demographic social determinants of health (SDH) in the relationship between types of childhood hospitalisation (ie, none, injury, non-injury, injury+non-injury) and academic performance.

Design, Setting And Patients: Children residing in Wales 2009-2016 (N=369 310). Secure Anonymised Information Linkage databank linked Tagged Electronic Cohort Cymru (five data sources) from the Wales Electronic Cohort for Children.

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.

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.

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.

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.

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.

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.

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.

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.

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.

A registry-based observational cohort study examining patterns of pain and mental health symptoms and their impact on work or other activities after injury.

Unlabelled: Purpose/Objective Research: This study aimed to examine patterns of pain and mental health after injury, and the patient characteristics associated with reductions in those symptoms.

Research Method/design: This registry-based observational cohort study included all people ≥ 16 years old hospitalized for unintentional injuries from 2007 to 2014 who were included in the Victorian State Trauma Registry or Victorian Orthopaedic Trauma Outcomes Registry, survived to 12-months postinjury and did not have severe brain injury or spinal cord injury ( = 31,073). Symptoms and related impacts were measured with pain Numerical Rating Scale, EuroQol Five Dimensions Three Level questionnaire (EQ-5D-3L), and 12-item Short Form Health Survey (SF-12) pain and mental health items at 6-, 12-, and 24-months postinjury.

Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text.

Introduction: Proximal humeral fractures account for a significant proportion of all fractures. Detailed accurate classification of the type and severity of the fracture is a key component of clinical decision making, treatment and plays an important role in orthopaedic trauma research. This research aimed to assess the performance of Machine Learning (ML) multiclass classification algorithms to classify proximal humeral fractures using radiology text data.

Risk factors for depression in Pacific adolescents in New Zealand: A network analysis.

Background: Network analysis provides opportunities to gain a greater understanding of the complex interplay of risk factors for depression and heterogeneous symptom presentations. This study used network analysis to discover risk factors associated with both depression severity and depression symptoms amongst Pacific adolescents in New Zealand.

Methods: Mixed graphical models with regularization were fitted to data from a community sample of New Zealand born, Pacific adolescents, (n = 561; 51% male; Mean age (SD) = 17 (0.

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).

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.

Pain and mental health symptom patterns and treatment trajectories following road trauma: a registry-based cohort study.

Purpose: This study aimed to characterise recovery from pain and mental health symptoms, and identify whether treatment use facilitates recovery.

Methods: Victorian State Trauma Registry and Victorian Orthopaedic Trauma Outcomes Registry participants without neurotrauma who had transport injury claims with the Transport Accident Commission from 2007 to 2014 were included ( = 5908). Latent transition analysis of pain Numeric Rating Scale, SF-12, and EQ-5D-3L pain and mental health items from 6 to 12 months, and 12 to 24 months post-injury were used to identify symptom transitions.

Driver, Collision and Meteorological Characteristics of Motor Vehicle Collisions among Road Trauma Survivors.

Road trauma remains a significant public health problem. We aimed to identify sub-groups of motor vehicle collisions in Victoria, Australia, and the association between collision characteristics and outcomes up to 24 months post-injury. Data were extracted from the Victorian State Trauma Registry for injured drivers aged ≥16 years, from 2010 to 2016, with a compensation claim who survived ≥12 months post-injury.

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.

Health-Related Quality of Life (HRQoL) Outcomes Following Injury in Childhood and Adolescence Using EuroQol (EQ-5D) Responses with Pooled Longitudinal Data.

Background: Injury is a leading contributor to the global disease burden in children, affecting their health-related quality of life (HRQoL)-yet valid estimates of burden are absent.

Methods: This study pooled longitudinal data from five cohort studies of pediatric injury survivors (5-17 years) at baseline, 1-, 4-, 6-, 12-, and 24- months ( = 2334). HRQoL post-injury was measured using the 3-level EQ-5D utility score (EQ-5D) and five health states (mobility, self-care, activity, pain, anxiety and depression (anxiety)).

An evaluation of the association between fault attribution and healthcare costs and trajectories in the first three years after transport injury.

Background: People with complex medical and psychosocial issues have high healthcare needs. This registry-based cohort study sought to quantify the association between external fault attribution, recorded during compensation claim lodgement, and the cost and patterns of healthcare utilisation.

Methods: 6,144 survivors of transport-related major trauma between 1 July 2010 and 30 June 2016 were extracted from the Victorian State Trauma Registry (VSTR) and linked to treatment payments from the Transport Accident Commission (TAC).

Predicting fracture outcomes from clinical registry data using artificial intelligence supplemented models for evidence-informed treatment (PRAISE) study protocol.

Background: Distal radius (wrist) fractures are the second most common fracture admitted to hospital. The anatomical pattern of these types of injuries is diverse, with variation in clinical management, guidelines for management remain inconclusive, and the uptake of findings from clinical trials into routine practice limited. Robust predictive modelling, which considers both the characteristics of the fracture and patient, provides the best opportunity to reduce variation in care and improve patient outcomes.