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Articles 1 - 7 of 7
Full-Text Articles in Medicine and Health Sciences
Genetic Analysis Of Endometriosis And Depression Identifies Shared Loci And Implicates Causal Links With Gastric Mucosa Abnormality, Emmanuel Adewuyi, Divya Mehta, Yadav Sapkota, Asa Auta, Kosuke Yoshihara, Mette Nyegaard, Lyn R. Griffiths, Grant W. Montgomery, Daniel I. Chasman, Dale R. Nyholt
Genetic Analysis Of Endometriosis And Depression Identifies Shared Loci And Implicates Causal Links With Gastric Mucosa Abnormality, Emmanuel Adewuyi, Divya Mehta, Yadav Sapkota, Asa Auta, Kosuke Yoshihara, Mette Nyegaard, Lyn R. Griffiths, Grant W. Montgomery, Daniel I. Chasman, Dale R. Nyholt
Research outputs 2014 to 2021
Evidence from observational studies indicates that endometriosis and depression often co-occur. However, conflicting evidence exists, and the etiology as well as biological mechanisms underlying their comorbidity remain unknown. Utilizing genome-wide association study (GWAS) data, we comprehensively assessed the relationship between endometriosis and depression. Single nucleotide polymorphism effect concordance analysis (SECA) found a significant genetic overlap between endometriosis and depression (PFsig-permuted = 9.99 × 10−4). Linkage disequilibrium score regression (LDSC) analysis estimated a positive and highly significant genetic correlation between the two traits (rG = 0.27, P = 8.85 × 10−27). A meta-analysis of endometriosis and depression GWAS (sample size = …
Investigating The Influence Of Environmental Factors On The Incidence Of Renal Disease With Compositional Data Analysis Using Balances, Jennifer M. Mckinley, Ute Mueller, Peter M. Atkinson, Ulrich Ofterdinger, Chloe Jackson, Siobhan F. Cox, Rory Doherty, Damian Fogarty, J. J. Egozcue, V. Pawlowsky-Glahn
Investigating The Influence Of Environmental Factors On The Incidence Of Renal Disease With Compositional Data Analysis Using Balances, Jennifer M. Mckinley, Ute Mueller, Peter M. Atkinson, Ulrich Ofterdinger, Chloe Jackson, Siobhan F. Cox, Rory Doherty, Damian Fogarty, J. J. Egozcue, V. Pawlowsky-Glahn
Research outputs 2014 to 2021
This research uses an urban soil geochemistry database of elemental concentration to examine the potential relationship between Standardised Incidence Rates (SIRs) of Chronic Kidney Disease (CKD) of uncertain aetiology (CKDu), and cumulative low level geogenic and diffuse anthropogenic contamination of soils with PTEs. A compositional data analysis approach was applied to determine the elemental balance(s) of the geochemical data showing the greatest association with CKDu. The research concludes that both anthropogenic and geogenic factors may be contributing influences to explain high incidences of CKDu, up to 12 times greater in some Super Output Areas (SOAs) than would be expected for …
Automated Smart Home Assessment To Support Pain Management: Multiple Methods Analysis, Roschelle L. Fritz, Marian Wilson, Gordana Dermody, Maureen Schmitter-Edgecombe, Diane J. Cook
Automated Smart Home Assessment To Support Pain Management: Multiple Methods Analysis, Roschelle L. Fritz, Marian Wilson, Gordana Dermody, Maureen Schmitter-Edgecombe, Diane J. Cook
Research outputs 2014 to 2021
©Roschelle L Fritz, Marian Wilson, Gordana Dermody, Maureen Schmitter-Edgecombe, Diane J Cook. Objective: This study aimed to determine if a smart home can detect pain-related behaviors to perform automated assessment and support intervention for persons with chronic pain.Background: Poorly managed pain can lead to substance use disorders, depression, suicide, worsening health, and increased use of health services. Most pain assessments occur in clinical settings away from patients’ natural environments. Advances in smart home technology may allow observation of pain in the home setting. Smart homes recognizing human behaviors may be useful for quantifying functional pain interference, thereby creating new ways …
Contemporary Epidemiology Of Rising Atrial Septal Defect Trends Across Usa 1991–2016: A Combined Ecological Geospatiotemporal And Causal Inferential Study, Albert Stuart Reece, Gary Kenneth Hulse
Contemporary Epidemiology Of Rising Atrial Septal Defect Trends Across Usa 1991–2016: A Combined Ecological Geospatiotemporal And Causal Inferential Study, Albert Stuart Reece, Gary Kenneth Hulse
Research outputs 2014 to 2021
© 2020, The Author(s). Background: Cardiovascular anomalies are the largest group of congenital anomalies and the major cause of death in young children, with various data linking rising atrial septal defect incidence (ASDI) with prenatal cannabis exposure. Objectives / Hypotheses. Is cannabis associated with ASDI in USA? Is this relationship causal? Methods: Geospatiotemporal cohort study, 1991–2016. Census populations of adults, babies, congenital anomalies, income and ethnicity. Drug exposure data on cigarettes, alcohol abuse, past month cannabis use, analgesia abuse and cocaine taken from National Survey of Drug Use and Health (78.9% response rate). Cannabinoid concentrations from Drug Enforcement Agency. Inverse …
Improving Firefighter Tenability During Entrapment And Burnover: An Analysis Of Vehicle Protection Systems, Greg Penney, Daryoush Habibi, Marcus Cattani
Improving Firefighter Tenability During Entrapment And Burnover: An Analysis Of Vehicle Protection Systems, Greg Penney, Daryoush Habibi, Marcus Cattani
Research outputs 2014 to 2021
When attempting to suppress severe wildfire the possibility for firefighting crews to be overrun by wildfire, known as entrapment and burnover, remains a catastrophic and all too common occurrence. While improvements have been made to vehicle protection systems to increase the safety of firefighters caught in burnover, the potential effectiveness of these systems remains limited. This study involved systematic analysis of 62 historical entrapment and burnover reports from the USA, Australian and New Zealand from 1978 to 2020 (Phase 1), and 135 simulated wildfires encompassing the 99th percentile of Australian fire weather conditions, fuel structures and terrain (Phase 2). Analysis …
Population Data Centre Profile - The Western Australian Data Linkage Branch, Steve Hodges, Tom Eitelhuber, Alexandra Merchant, Janine Alan
Population Data Centre Profile - The Western Australian Data Linkage Branch, Steve Hodges, Tom Eitelhuber, Alexandra Merchant, Janine Alan
Research outputs 2014 to 2021
Established in 1995, the Western Australian Data Linkage Branch (DLB) is Australia’s longest running data linkage agency. The Western Australian Data Linkage System (WADLS) employs an enduring linkage model spanning over 60 data collections supported by internally developed and supported software and IT infrastructure. DLB has delivered, and continues to deliver, a range of significant data linkage innovations, many of which have been adopted elsewhere. A current restructure within the Western Australian Department of Health (which we will refer to as the Department of Health) will provide an improved funding model geared toward addressing issues with staff retention, capacity and …
Interpreting Health Events In Big Data Using Qualitative Traditions, Roschelle L. Fritz, Gordana Dermody
Interpreting Health Events In Big Data Using Qualitative Traditions, Roschelle L. Fritz, Gordana Dermody
Research outputs 2014 to 2021
© The Author(s) 2020. The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intelligent agent to detect Restless Leg Syndrome. We show how one interdisciplinary, inter-methodological research team used both sensor-based data and the participant’s description of their experience with an episode of Restless Leg Syndrome for training the intelligent agent. …