Digital Commons Network^™

Comparative Assessment Of Agmd And Vmd Systems Configured With Flat Sheet And Hollow Fibre Membranes: An Energy And Exergy, Thermo-Economic, And Environmental Analysis, Hamed Kariman, Mehdi Khiadani

Research outputs 2022 to 2026

Membrane Distillation (MD) systems, particularly Air Gap Membrane Distillation (AGMD) and Vacuum Membrane Distillation (VMD) in Flat Sheet (FS) and Hollow Fibre (HF) configurations, demonstrate strong potential for freshwater production, Yet, there remains a lack of comparative studies evaluating their energy, exergy, economic and environmental performance under similar conditions. This study presents a comparative analysis of four MD systems under similar operating conditions: FS-AGMD, HF-AGMD, FS-VMD and HF-VMD, and considers their respective costs and operation in Western Australia. The analysis was performed for single-stage and multi-stage configurations of up to ten modules, both with and without Heat Recovery (HR), to …

Social Procurement As A Catalyst For Dei In Construction: Some Takeaways For Hrm?, Jennifer Waterhouse, Robyn Keast, Judy Lundy, Martin Loosemore

Research outputs 2022 to 2026

Purpose: Diversity, equity and inclusion (DEI) initiatives aim to foster workplaces where all employees feel valued and can add value. Increasingly, the success of these initiatives is influenced by environments and interactions beyond organisational boundaries, including recent backlash. Despite this, most DEI research remains focused on intra-organisational aspects and human resource management (HRM) activities. The purpose of this paper is to introduce social procurement as a novel and promising framework for advancing DEI in theory and practice through a collaborative, inter-organisational approach that has the potential to overcome institutional barriers and mitigate backlash. Design/methodology/approach: Data were collected through 15 in-depth …

Firms’ Darq Readiness And Marketing Implications: A Systematic Literature Review, Ali N. Tehrani, K. Roy, Richard Gruner

Research outputs 2022 to 2026

Purpose – This study aims to systematically review literature across diverse disciplines, including marketing, management and information systems, to synthesise insights on firms’ readiness to adopt and implement DARQ technologies and their marketing implications. DARQ technologies are emerging and cutting-edge technologies, including Distributed Ledger Technology, Artificial Intelligence, Extended Reality and Quantum Computing (hence, DARQ). Design/methodology/approach – Through a systematic review of over 2, 500 papers across three databases, this study distilled a focused sample of 88 papers. It comprehensively explores the reported dimensions, antecedents, outcomes and marketing implications of firms’ readiness for DARQ technologies. Findings – This study identified three …

Autonomous Smart Vertical Farming: A Systems-Level Synthesis Of Iot And Solar Energy Integration For Sustainable Agriculture, Mahmuda Khatun Mishu, Md Rokonuzzaman, Boon Kar Yap, Tofan Agung Eka Prasetya, Md Arif Hossain, Asif Islam, Kazi Sajedur Rahman, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

Rapid urbanization, land degradation, and climate variability are increasingly constraining food production, especially in densely populated urban regions. Vertical farming (VF), which grows crops in stacked layers under controlled conditions, is gaining recognition as a potential solution for sustainable urban agriculture. However, high energy requirements and questions surrounding long-term resource efficiency continue to challenge its scalability and environmental viability. This review explores the potential of smart vertical farming (SVF) systems, enhanced by the Internet of Things (IoT), wireless sensor networks (WSNs), and hybrid green energy-harvesting systems such as photovoltaic (PV) and thermoelectric (TE) technologies. This research analyzes how real-time data-driven …

Scalable And Interpretable Fraud Detection In Fintech: Evidence From A Hybrid Tabnet–Graph Neural Network Framework, Haseeb Ahmad, Istiaque Bhuiyan, Tanvir Bhuiyan, Ariful Hoque

Research outputs 2022 to 2026

This study proposes a fraud detection framework for FinTech that integrates tabular deep learning with relational graph reasoning. We address a key limitation of state-of-the-art tabular fraud models: their assumption that transactions are independent, despite evidence that modern fraud often arises from coordinated infrastructure reuse (e.g., shared devices, email domains, accounts, and addresses). Using the IEEE-CIS Fraud Detection dataset (≈590,540 e-commerce transactions), we develop a hybrid architecture that combines TabNet, chosen for its built-in interpretability on tabular data, with a GraphSAGE encoder trained on a leakage-free heterogeneous entity graph constructed strictly from historical training transactions. Unseen entities in validation and …

Preventive Behaviors Associated With Fall Incidence Among Older Adults Living In Rural Communities Of Thailand: A Cross-Sectional Study, Rujira Nonsa-Ard, Sirapat Khodseewong, Kasama Wongprachum, Chaiwut Bourneow, Ploypailin Aneknan, Sumattana Glangkarn, Davina Porock

Research outputs 2022 to 2026

Background: The escalating population of older adults poses a significant challenge, particularly in lower-middle-income countries like Thailand. Falls represent a critical public health concern in this demographic. This study aimed to identify risk factors influencing fall occurrence in older adults within a specific rural community context, where the majority of participants remain engaged in farm work.

Methods: A cross-sectional study design was utilized, involving 1,256 participants recruited by the multistage random sampling approach. Data were collected via a questionnaire that included: demographic information, the Thai version of the Barthel Activities of Daily Living (ADL), the Thai Fall Risk Assessment Tool …

Robust Hybrid Tree-Based Machine Learning-Assisted Optimization Of Well Parameters To Reduce Asphaltene Precipitation Risk In Oil Fields, Malek Jalilian, Madani, Alireza Keshavarz, Stefan Iglauer, Abbas Khaksar Manshad, Amir H. Mohammadi

Research outputs 2022 to 2026

Asphaltene precipitation is a persistent flow-assurance issue in carbonate oil wells, leading to increased intervention frequency and production losses. This study utilizes multi-decade surveillance and operational data from a mature carbonate field (1983–2023) to train and optimize five tree-based models: Decision Tree, Random Forest, Extra Trees, Gradient-Boosting Decision Tree, and CatBoost, employing a Tree-Structured Parzen Estimator. These models, constrained by operational parameters, were integrated to identify optimal settings that can minimize the frequency of asphaltene precipitation and the subsequent cleanups. The novelty of this research lies in the direct integration of interpretable tree ensembles with an optimizer that adheres to …

The Effect Of School-Based Educational Session On Knowledge, Attitudes, And Beliefs Of Cervical Cancer Among Adolescents In Mixed Day High Schools In Embu County: A Quasi-Experimental Study, Lucy W. Kivuti-Bitok, Mugo, Dorothy Mituki, Christine Marete, Irene Ngune, Jessica Wells

Research outputs 2022 to 2026

Background: School-based interventions have proven effective in enhancing knowledge and altering attitudes toward cervical cancer among adolescents. This study aimed to evaluate the effect of a school-based educational intervention on the attitudes, beliefs, and knowledge of cervical cancer among adolescents in mixed-day high schools in Embu County. Methods: This study used a single-group, repeated cross-sectional design to assess the effect of a structured health education session on cervical cancer among adolescent boys and girls in mixed-gender secondary schools. A self-administered anonymous questionnaire was administered before and immediately after the post-intervention. The education session lasted 30–45 min, and the study population …

Effects Of Resisted Movement Training On Change-Of-Direction Speed In Recreationally Active And Trained Individuals: A Systematic Review With Network Meta-Analysis And Meta-Regression, Mingyang Zhang, Urs Granacher, Ruixiang Yan, Hallvard Nygaard Falch, Rodrigo Ramirez-Campillo, Kai Xu, Xing Zhang, Jinming Li, Shubo Xu, Yulin Luo, Duanying Li, Jian Sun

Research outputs 2022 to 2026

Background: The ability to change directions quickly is critical for performance and injury prevention in multidirectional sports, yet the influence of resisted movement training (R-MT) on change-of-direction (COD) speed remains uncertain. Therefore, we aimed to examine the effectiveness of various R-MT methods on COD speed in individuals ranging from recreational to international level and to determine the relationship between test angle and COD adaptations. Methods: We systematically searched PubMed/MEDLINE, Embase, Web of Science, SPORTDiscus, CINAHL, Scopus, and Google Scholar from inception to August 2025. Random-effects pairwise meta-analyses and a Bayesian network meta-analysis (NMA) synthesized effects of vertically resisted plyometric and …

Sarcomerogenesis: Evidence, Context And Key Stimuli—Response To The Commentary By Power Et Al., Anthony J. Blazevich, Walter Herzog, João Pedro Nunes

Research outputs 2022 to 2026

No abstract provided.

Discriminative Performance Of Externally Validated Dementia Risk Prediction Models: A Systematic Review And Meta-Analysis, Blossom C.M. Stephan, Jacob Brain, Kaarin J. Anstey, Tanya Buchanan, Claire V. Burley, Elissa Burton, Jennifer Dunne, Linda Errington, Matthew Gorringe, Zhongyang Guan, Bronwyn Myers, Serena Sabatini, Marc Sim, William Stephan, Eugene Yee Hing Tang, Narelle Warren, Mario Siervo

Research outputs 2022 to 2026

Background: Data on the external validation of current dementia risk prediction models has not yet been systematically synthesised. This systematic review and meta-analysis collated results from three previous reviews to evaluate the predictive discriminative performance of dementia risk models when validated in population-based settings. Methods: Embase (via Ovid), Medline (via Ovid), Scopus, and Web of Science were searched from inception to June 2022 with an updated search conducted up to November 2024. Included studies (1) had a population-based cohort design; (2) assessed incident late-life (i.e. ≥ 60 years) dementia; and (3) reported predictive performance of at least one dementia risk …

Enhanced Carbon Burial In Seagrass Meadows Under Ocean Acidification Revealed By Carbon Dioxide Vents, Theodor Kindeberg, Teixidó, Steeve Comeau, Jean Pierre Gattuso, Beat Gasser, Alice Mirasole, Samir Alliouane, Ioannis Kalaitzakis, Denisa Berbece, Christopher Cornwall, Pere Masque

Research outputs 2022 to 2026

Seagrass meadows are natural carbon sinks, yet the effect of ocean acidification on their carbon burial capacity remains poorly understood. Here we investigated natural carbon dioxide vents in Ischia, Italy to assess how seawater pH influences carbon burial in an area dominated by the seagrass Posidonia oceanica. Organic carbon burial rates (mean ± standard error) between 1954 – 2021 were low under ambient conditions (1.5 ± 0.5 g m-2 yr-1) but increased sharply under acidified conditions (7 ± 1 g m-2 yr-1), reaching sevenfold higher values under extreme acidification (10 ± 3 g m-2 yr-1). Stable isotopes suggest that these …

Thermally-Driven Equiaxation Of Columnar Grains And Α″ Nanoparticles Enabling Isotropic Β-Ti Alloys With Strength–Ductility Synergy Manufactured By Laser Powder Bed Fusion, Lei Qin, Shengfeng Zhou, Jianbo Jin, Huan Yang, Kunmao Li, Cheng Deng, Yujie Yuan, Lai-Chang Zhang

Research outputs 2022 to 2026

The transient thermal cycling characteristics during laser powder bed fusion (LPBF) induce elemental segregation and columnar growth, resulting in significant mechanical anisotropy and strength–ductility trade-off in titanium alloys. In order to break through this bottleneck, this work proposes a strategy of inducing equiaxation of columnar grains through recrystallization and regulating the morphology of the α″ phase (from an acicular shape to nanoparticles) to synergistically optimize the uniformity, strength and ductility of LPBF-fabricated Ti-35Nb-5Cu-xMo (Ti355x, x = 0, 1, 2, 4 wt%) alloys. The results demonstrate that LPBF-fabricated Ti355x alloys display equiaxed/columnar microstructures with significant mechanical anisotropy and strength–ductility trade-off. After …

Nanofluid-Assisted Enhanced Sealing Containment Of Caprocks For Efficient Geological Co2 Storage, Muhammad Ali, Nurudeen Yekeen, Mujahid Ali, Nilanjan Pal, Mohammed Al Kobaisi, Alireza Keshavarz, Hussein Hoteit

Research outputs 2022 to 2026

Millions of tons of CO2 are stored annually in geological formations in order to reduce greenhouse gas emissions, relying on caprock as a seal to prevent CO2 leakage. The wettability of caprock is crucial for its effectiveness, and can be altered by organic acids present in the storage media. The present study investigates the impact of stearic acid on the CO2 wettability of shale, along with the potential of alumina nanofluids to reverse this effect. Using contact angle measurements, X-ray diffraction, and other analytical methods, the study reveals that stearic acid increases the CO2 wettability of shale, making it more …

Bridg-Ics: Ai-Grounded Knowledge Graphs For Intelligent Threat Analytics In Industry 5.0 Cyber-Physical Systems, Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim, Iqbal H. Sarker, Helge Janicke

Research outputs 2022 to 2026

Industry 5.0’s increasing integration of IT and OT systems is transforming industrial operations but also expanding the cyber–physical attack surface. Industrial Control Systems (ICS) face escalating security challenges as traditional siloed defenses fail to provide coherent, cross-domain threat insights. We present BRIDG-ICS (BRIDge for Industrial Control Systems), an AI-enriched Knowledge Graph (KG) framework for context-aware threat analysis and quantitative assessment of cyber resilience in smart manufacturing environments. BRIDG-ICS fuses heterogeneous industrial and cybersecurity data into an integrated Industrial Security Knowledge Graph linking assets, vulnerabilities, and adversarial behaviors with probabilistic risk metrics (e.g., exploit likelihood, attack cost). This unified graph representation …

Dataset For Integrity Attacks On Time Synchronized Synchrophasor Data, Taylah Griffiths, Mohiuddin Ahmed, Chadni Islam

Research outputs 2022 to 2026

Phasor measurement units, also known as synchrophasors, are a vital component within smart grids to determine the stability of the grid. These devices send synchrophasor data to phasor data concentrators that collate and analyse the data. Recently, synchrophasor communication data has become beneficial for the research community. However, datasets covering cyberattacks on synchrophasor data are not public. Having access to this data would aid in investigating mitigations against cyberattacks. This paper describes a public specialized dataset, known as ECU-PMU-FDI/TSA. The dataset contains synchrophasor communication data for cybersecurity mitigation testing. Three hours of communication data was captured, from a simulated testbed. …

Progression Of Non-Radiographic To Radiographic Axial Spondyloarthritis: A Risk Model Based On A Chinese Cohort Study, Rui Ying Deng, Xiaojia Xu, Jian Hua Peng, Feng Cai Shen, Yao Gong, Dan Min Wang, Hong Jin Liang, Shu Xin Huang, Zhao Peng Chen, Wen Long Wu, Ze Xin Zheng, Ling Lin, Zhi Duo Hou

Research outputs 2022 to 2026

Objectives: To evaluate the progression from non-radiographic axial spondyloarthritis (nr-axSpA) to radiographic axial spondyloarthritis (r-axSpA) in a Chinese cohort, identify associated risk factors in both clinical and imaging arms, and enable risk stratification based on these factors. Methods: Overall, 572 patients with nr-axSpA were enrolled with a median follow-up of 5 years. Cox proportional hazard regression analyses were conducted to identify potential risk factors associated with the progression from nr-axSpA to r-axSpA in both clinical and imaging arms. A risk-scoring system was then developed by assigning each independent predictor a weight based on its regression coefficient. Patients were subsequently categorized …

Cardiovascular Disease And Fracture Risk In People With Type 2 Diabetes: A Nationwide Matched Case–Control Study, Aksayan Arunanthy Mahalingasivam, Annika Vestergaard Kvist, Joop P. Van Den Bergh, Cassandra Smith, Joshua R. Lewis, Peter Vestergaard, Nicklas Højgaard Hessellund Rasmussen

Research outputs 2022 to 2026

To examine, among people with type 2 diabetes (T2D), whether cardiovascular disease (CVD) phenotypes and cardiovascular medications are associated with any fracture as the primary outcome and major osteoporotic fracture (MOF) as a secondary outcome. Nationwide registry-based matched case–control study in Denmark (2013–2021) among people with T2D. Cases were individuals with T2D who sustained an incident fracture (n = 12,390), and controls were fracture-free individuals with T2D matched 1:3 by age, sex, T2D onset date, and weighted Charlson Comorbidity Index (n = 37,170). The exposures were overall CVD, prespecified clinical CVD phenotypes (acute myocardial infarction (AMI), stroke, heart failure, atrial …

Genetic Drivers Of Progression In Alzheimer’S Disease Are Distinct From Disease Risk, Celeste E. Cohen, Shane Fernandez, Umran Yaman, Ahmad R. Ehyaei, Eleftheria Kodosaki, Aydan Askarova, Tenielle Porter, Eleanor O’Brien, Paul Maruff, Alexi Nott, John A. Hardy, Simon M. Laws, Dervis A. Salih, Maryam Shoai

Research outputs 2022 to 2026

Background: Recent trials in Alzheimer’s disease (AD) demonstrate encouraging outcomes. These trials target risk mechanisms identified through genetic analysis whilst directly aiming to reduce progression rates. Evidence from other neurodegenerative diseases suggests the genetics of progression is distinct from risk of disease. To expand these initial successes and improve clinical outcomes further we need to understand genetics of progression of disease. These can be deduced through rigorous analysis of meticulously phenotyped longitudinal cohorts. In this study we first looked at known genetic drivers of risk, namely polygenic risk scores for AD and APOE‑ε4, to assess their role in progression. This …

Methylated Cfdna May Distinguish Between High- And Intermediate-Risk Uveal Melanoma: A Pilot Study, Mike Wu, Daniël P. De Bruyn, Ruben G. Boers, Aaron B. Beasley, Daan M. Hazelaar, Stavros Makrodimitris, Joachim B. Boers, Jolanda Vaarwater, Ronald O.B. De Keizer, Robert M. Verdijk, Nicole C. Naus, Dion Paridaens, Saskia M. Wilting, Elin S. Gray, Wilfred F.J. Van Ijcken, Joost Gribnau, Annelies De Klein, Erwin Brosens, Emine Kiliç

Research outputs 2022 to 2026

Background: Uveal melanoma (UM) is a highly aggressive malignancy with a metastatic risk that depends on the molecular subclass. This subclass can be determined through molecular characterization of tumor-derived tissue. With eye-sparing treatments, tumor tissue is rarely available for molecular testing. We hypothesized that minimal invasive biomarkers such as methylated cell-free DNA (cfDNA) or circulating tumor DNA (ctDNA) can be used for prognosis and monitoring of patients. Methods: Plasma cfDNA was isolated from healthy blood donors (HBDs, N = 19) and UM patients (N = 22). Plasma was collected at baseline (localized disease, N = 13) and during follow-up (metastatic …

Application Of The Paediatric Medical Traumatic Stress Model To The Mental Health Experience Of Young People Living With Type 1 Diabetes: A Qualitative Study, Rigel Paciente, Sara Coombs, Karen Lombardi, Helen Milroy, Keely Bebbington, Heather Roby, Craig E. Taplin, Nicole Wickens, Stella Rose, Alix Woolard

Research outputs 2022 to 2026

Despite the various traumatic events that a young person living with type 1 diabetes (T1D) may experience, little is known about the burden and manifestation of traumatic stress in this population. Though mental health outcomes have been explored generally, medical trauma-sensitive approaches to understanding these experiences remain limited. We utilised a qualitative descriptive approach to explore the impact of T1D on young people’s mental health through the paediatric medical traumatic stress model (PMTS). Young people aged 13–30 living with T1D were interviewed. These interviews were recorded, transcribed, and analysed using Reflexive Thematic Analysis. Three main themes were generated: (1) perceived …

Body Composition And Muscle Health Changes After Providing Vascular Imaging Results In Older Adults: Secondary Analysis Of A Randomised Controlled Trial, Jack Dalla Via, Simone Radavelli-Bagatini, Marc Sim, Abadi K. Gebre, Catherine P. Bondonno, Kun Zhu, Shelby Mullin, John T. Schousboe, Richard J. Woodman, Markus P. Schlaich, Moira Sim, Pawel Szulc, Douglas P. Kiel, Wai H. Lim, Robin M. Daly, Jonathan M. Hodgson, Joshua R. Lewis

Research outputs 2022 to 2026

Background: Provision of vascular imaging results has been investigated to prompt changes towards healthy lifestyle behaviours, but effects on body composition and muscle health are unknown. Aim: This secondary analysis of a 12-week parallel-group randomised controlled trial (RCT) aims to explore body composition and muscle health effects of providing healthy lifestyle education (Ed) with and without abdominal aortic calcification (AAC) results. Methods: A total of 240 Australian community-dwelling older men and women (mean ± SD age 68 ± 5 years; 58% female; 57.1% with evidence of AAC) were randomised to AAC + Ed (n = 121) or Control + Ed …

Over A Century Of Global Decline In The Growth Performance Of Marine Fishes, Helen F. Yan, Hannah V. Watkins, Alexandre C. Siqueira, David R. Bellwood

Research outputs 2022 to 2026

Human-driven pressures are causing large-scale changes in the ecologies and life histories of fishes. Growth performance is a composite life-history trait that captures the trade-off between two fundamental traits: growth and body size. Here, we assess the impacts of fishing and temperature on the growth performance of marine teleost fishes globally over the last century. Using 7683 growth curves encompassing 1479 species, we find a global pattern of decline in growth performance from 1908 onwards, with the greatest declines in commercially valuable fishes. Indeed, managed fisheries experienced a 9% decline in growth performance over the last century, which can equate …

Adding A Weight To Constrain The Trunk Increases Knee Joint Kinetics During Sidestep Cutting In Female Athletes, Daniel Kadlec, J. Jordan, Jacqueline Alderson, Sophia Nimphius

Research outputs 2022 to 2026

Sidestep cutting exposes the knee to high multiplanar loads that both challenge tissue capacity and provide an opportunity to develop resilience through progressive exposure. This study investigated task constraints applied at the trunk and preparatory step and changes in lower-body joint kinetics associated with ACL injury risk during sidestepping in female athletes. Twenty-one trained female athletes performed six sidestep conditions: pre-planned and unplanned sidesteps, each with and without trunk (holding ~ 5–7.5% body mass at chest level) and preparatory-step (ducking under an adjustable rope at eye height) constraints. Relative joint power at the hip, knee, and ankle was analysed using …

Unpacking Environmental Racism Through Dependency Theory In The Case Of Second-Hand Goods Export To West Africa, Prince Nii Koi Kotei, Adusei-Asante, Shajimon Peter, Portia Nana Ama Brempong

Research outputs 2022 to 2026

The second-hand goods export market is complex and inextricably intertwined with environmental racism and dependency theories. Studies have shown that the adverse impacts of second-hand goods exports outweigh their benefits. West African countries are marginalised and are trapped in a dependency cycle. The literature discusses secondhand goods exports; however, it rarely situates this within the context of the dependency theory and environmental racism. This study seeks to address this gap by integrating several studies under a common theoretical framework connecting dependency theory to environmental racism. This study unpacks environmental racism through dependency theory in the export of second-hand goods. Specifically, …

Aluminium Based Hydrotalcite Like Compounds For Direct Lithium Extraction: A Critical Review On Crystallography And Structure Selectivity Design, Amin Sarmadi, Yasaman Boroumand, Mohammad Mahdi A. Shirazi, Magdalena Wajrak, Shayan Abrishami, Matthew Myers, Muhammad Rizwan Azhar, Amir Razmjou

Research outputs 2022 to 2026

The accelerating demand for lithium is intensifying interest in direct lithium extraction (DLE) technologies that minimise the environmental footprint of conventional solar evaporation ponds. Among sorbent-based DLE concepts, aluminium based hydrotalcite like compounds (Al-HTlc), particularly lithium aluminium layered double hydroxide (LiAl-LDH), are considered the most mature sorbent options, offering facile lithium (Li+) recovery and high selectivity in highly saline chloride based solutions. Both properties arise from a distinct intercalation mechanism wherein Li+ and its counter-anions (e.g. Cl− or SO42−) are co-intercalated into the crystal structure upon brine exposure. Li+ selectivity arises partly from a steric match between Li+ (ionic radius …

Chlorinated Drinking Water Exposure Enriches Antimicrobial Resistance Pathways In The Infant Gut Microbiome: A Randomized Trial, Kimberley Parkin, Claus T. Christophersen, Valerie Verhasselt, Debra J. Palmer, Matthew N. Cooper, Susan L. Prescott, Desiree Silva, David Martino

Research outputs 2022 to 2026

Background: Water chlorination is essential for controlling harmful microbes in drinking water; however, the antimicrobial effects of chlorine-based disinfectants present in tap water may influence early-life gut microbial ecology.

Objective: To investigate the functional and compositional impact of chlorinated drinking water on the gut microbiome of infants.

Design: The waTer qUality and Microbiome Study (TUMS) was an Australian-based double-blinded, randomised controlled trial. Six-month-old infants (n = 197) received either de-chlorinated drinking water via benchtop filtration (treatment, n = 99), or regular chlorinated water (control, n = 98) for twelve months. Tap water and stool samples were collected at baseline and …

Lessons Learned From A Randomised Controlled Trial Of A Digital Intervention Targeting Eating Disorder Symptoms In Cisgender Sexual Minoritized Men, Emma Austen, Matthew Fuller-Tyszkiewicz, Siân A. Mclean, Beth O’Gorman, Katie Bishop, Hannah K. Jarman, Susan J. Paxton, Rachel F. Rodgers, An Dang, Emily A. Harris, Felicity Angelopoulos, Wesley Grey, Suku Sukunesan, Alexandra Parker, Adrian Shatte, Long Khanh-Dao Le, Scott Griffiths

Research outputs 2022 to 2026

Background: There is an unmet need for evidence-based and accessible interventions designed to treat eating disorders in sexual minoritized men, given their heightened vulnerability to developing disordered eating. Digital interventions are a promising avenue for eating disorder treatment because of their accessibility and flexibility in delivery. Here, we present a randomised controlled trial of Seed, a 10-week treatment-focussed digital intervention for eating disorders, among sexual minoritized men.

Methods: Participants (N = 126 sexual minoritized men) with a binge-spectrum eating disorder diagnosis (e.g., bulimia nervosa, binge-eating disorder) were randomly allocated to one of three conditions: (1) a waitlist control (2) a …

The Relationship Between Dietary Sodium Intake And Cognitive Function: A Narrative Review, Samantha L. Gardener, M. Fu, L. Morini, T. Schwartzkopff, G. Savage, R. N. Martins, S. R. Rainey-Smith

Research outputs 2022 to 2026

Purpose of Review: This narrative review provides discussion on current evidence regarding the relationship between sodium intake and cognitive function in animal and human studies, as well as potential mechanisms underlying this relationship. Recent Findings: Recent evidence suggests high sodium intake is associated with development of cognitive impairment and neural dysfunction. Additionally, studies have proposed that high sodium intake is associated with increased aggregation of Aβ-amyloid and that hypertension (for which high sodium intake is a risk factor) modulates the relationship between Aβ-amyloid and development of cognitive impairment and Alzheimer’s disease. However, while animal studies demonstrate a consistent relationship between …

Assessing Content Validity Of The Osteo-Taq(Aus) Using Cognitive Interviews: Cross-Jurisdictional Evidence From Uk Osteopathic Practice​​, Oliver P. Thomson, Elena Golder, Gopi Anne Mcleod, Jerry Draper-Rodi, Steven Vogel, Brett Vaughan

Research outputs 2022 to 2026

Background: The Osteopaths’ Therapeutic Approaches Questionnaire (Osteo-TAQ) has demonstrated content, construct, and face validity across multiple jurisdictions but required cognitive validation for use in the United Kingdom (UK). Objectives: To assess the cognitive content and face validity of the Australian-adapted Osteo-TAQ (Osteo-TAQ(Aus)) with practising UK osteopaths, and to determine whether any revisions were necessary. Methods: Cognitive interviews were conducted with six (n = 6) UK osteopaths using a combination of think-aloud and verbal probing techniques, informed by the Cognitive Interview Reporting Framework (CIRF). Interviews were recorded, transcribed, and analysed using team-based content analysis to identify issues of item interpretation, clarity …