Dr Erin Walsh

Dr Erin Walsh

Contacts

Contact email:erin.walsh@anu.edu.au
Contact phone:+61 2 6125 8291
Location:Room 2.10, Building 54
Centre:Department of Health Economics Wellbeing and Society
Link:ANU Researchers profile
Fellow

Biography

Erin Walsh is a senior research with the Population Health Exchange (PHXchange).

Dr Erin Walsh is a research fellow at the Population Health Exchange (PHXchange), Epidemiology and Population Health (NCEPH), ANU. She completed her PhD in self-report psychological research methods in 2015, and subsequently has led projects involving both quantitative and qualitative data collection and analysis.

Her current focus is the use of visualisation as a tool for communicating population health information, with ongoing interests in cross-disciplinary methodological synthesis.

Alongside research, she works as a scientific illustrator, offering assistance with stimuli preparation, data visualization, and figure preparation for scholarly publication or engaging the general public with science.

Research

Research interests

  • Visual brokerage
  • Research methodology
  • Healthy ageing
  • Neurobiology-personality-environment interactions as determinants of wellbeing
  • Data visualization
  • Scientific illustration

Groups

Projects

Publications

  • Ambikairajah, A, Walsh, E & Cherbuin, N 2022, 'A review of menopause nomenclature', Reproductive Health, vol. 19, no. 29, pp. 1-15.
  • Walsh, E, Sargent, G & Grant, W 2021, 'Not just a pretty picture: Scientific fact visualisation styles, preferences, confidence and recall', Information Visualization, vol. 20, no. 2-3, pp. 138-150.
  • Fraser, M, Walsh, E, Shaw, M et al. 2021, 'Longitudinal effects of physical activity change on hippocampal volumes over up to 12 years in middle and older age community-dwelling individuals', Cerebral Cortex, vol. 2021, no. 00, pp. 1-12.
  • Walsh, E, Smith, E, Northey, J et al. 2020, 'Towards an understanding of the physical activity-BDNF-cognition triumvirate: A review of associations and dosage', Ageing Research Reviews, vol. 60, pp. -.
  • Walsh, E, Chung, Y, Cherbuin, N et al. 2020, 'Experts' perceptions on the use of visual analytics for complex mental healthcare planning: an exploratory study', BMC Medical Research Methodology, vol. 20, no. 110.
  • Ambikairajah, A, Tabatabaei Jafari, H, Walsh, E et al. 2020, 'Longitudinal Changes in Fat Mass and the Hippocampus', Obesity, vol. 28, no. 7, pp. 1263-1269.
  • Fraser, M, Walsh, E, Shaw, M et al. 2020, 'Longitudinal trajectories of hippocampal volume in middle to older age community dwelling individuals', Neurobiology of Aging, vol. 97, pp. 97-105.
  • Peters, R, Yasar, S, Anderson, C et al. 2020, 'Investigation of antihypertensive class, dementia, and cognitive decline: A meta-analysis', Neurology, vol. 94, no. 3, pp. E267-E281.
  • Walsh, E, Jacka, F, Butterworth, P et al. 2020, 'Midlife susceptibility to the effects of poor diet on diabetes risk', European Journal of Clinical Nutrition, vol. 75, pp. 85-90.
  • Walsh, E 2020, Bringing out the best in scientific visualisation for reach and impact: Visual brokerage, pp. 14-19.
  • Walsh, E, Shaw, M, Sachdev, P et al 2019, 'The impact of type 2 diabetes and body mass index on cerebral structure is modulated by brain reserve', European Journal of Neurology, vol. 26, no. 1, pp. 121-127.
  • Walsh, E & Cherbuin, N 2019, 'Mapping the literature on nutritional interventions in cognitive health: A data-driven approach', Nutrients, vol. 11, no. 1, pp. 1-9.
  • Tabatabaei Jafari, H, Shaw, M, Walsh, E et al. 2019, 'Cognitive/Functional Measures Predict Alzheimer's Disease, Dependent on Hippocampal Volume', Journals of Gerontology Series B: Psychological Sciences and Social Sciences, vol. Online, pp. 1-10pp.
  • Chung, Y, Bagheri, N, Salinas-Perez, J et al. 2019, 'Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review', International Journal of Information Management, vol. 50, no. 2020, pp. 17-27.
  • Ambikairajah, A, Walsh, E, Tabatabaei Jafari, H et al. 2019, 'Fat mass changes during menopause: a metaanalysis', American Journal of Obstetrics and Gynecology, vol. 221, no. 5, pp. 393-409.
  • Cherbuin, N & Walsh, E 2019, 'Sugar in mind: Untangling a sweet and sour relationship beyond type 2 diabetes', Frontiers in Neuroendocrinology, vol. 54, no. 2.
  • Walsh, E, Shaw, M, Espinoza Oyarce, D et al. 2019, 'Assumption-Free Assessment of Corpus Callosum Shape: Benchmarking and Application', Concepts in Magnetic Resonance Part A, pp. 1-10.
  • Cherbuin, N, Walsh, E & Prina, A 2019, 'Chronic Obstructive Pulmonary Disease and Risk of Dementia and Mortality in Lower to Middle Income Countries', Journal of Alzheimer’s Disease, vol. 70, pp. S63-S73.
  • Walsh, E, Zhang, T & Cherbuin, N 2019, 'Of fractal and Fourier: A measure for local shape complexity for neurological applications', Journal of Neuroscience Methods, vol. 323, pp. 61-67.
  • Tabatabaei Jafari, H, Shaw, M, Walsh, E et al. 2019, 'Regional brain atrophy predicts time to conversion to Alzheimer's disease, dependent on baseline volume', Neurobiology of Aging, vol. 83, pp. 86-94.
  • Cherbuin, N, Walsh, E, Baune, B et al 2019, 'Oxidative stress, inflammation and risk of neurodegeneration in a population sample', European Journal of Neurology, vol. 26, no. 11, pp. 1347-1354.
  • Beanland, V, Walsh, E & Pammer, K 2019, 'Undergraduate Students' Perceptions of and Engagement in Research Participation to Fulfill an Introductory Psychology Course Requirement', Teaching of Psychology, vol. 47, no. 1, pp. 74-83.
  • Walsh, E & Busby Grant, J 2018, 'Detecting temporal cognition in text: Comparison of judgements by self, expert and machine', Frontiers in Psychology, vol. 9, pp. 1-6.
  • Walsh, E, Shaw, J & Cherbuin, N 2018, 'Trajectories of BMI change impact glucose and insulin metabolism', Nutrition Metabolim and Cardiovascular Diseases, vol. 28, no. 3, pp. 243-251pp.
  • Zhang, T, Shaw, M, Walsh, E et al 2018, 'Higher fasting plasma glucose is associated with smaller striatal volume and poorer fine motor skills in a longitudinal cohort', Psychiatry Research: Neuroimaging, vol. 278, pp. 1-6pp.
  • Tabatabaei Jafari, H, Walsh, E, Shaw, M et al. 2018, 'A simple and clinically relevant combination of neuroimaging and functional indexes for the identification of those at highest risk of Alzheimer's disease', Neurobiology of Aging, vol. 69, pp. 102-110.
  • Walsh, E, Burns, R, Abhayaratna, W et al 2018, 'Physical Activity and Blood Glucose Effects on Weight Gain Over 12 Years in Middle-Aged Adults', Journal of Obesity and Chronic Diseases, vol. 2, no. 1, pp. 20-25.
  • Walsh, E, Shou, Y, Han, J et al 2018, 'Development and Validation of a Chinese Language Version of the Ruminative Thought Styles Questionnaire', Journal of Psychoeducational Assessment, vol. 36, no. 6, pp. 604-615pp.
  • Tabatabaei Jafari, H, Walsh, E, Shaw, M et al. 2017, 'The cerebellum shrinks faster than normal ageing in Alzheimer's disease but not in mild cognitive impairment', Human Brain Mapping, vol. 38, no. 6, pp. 3141-3150.
  • Walsh, E, Jacka, F, Butterworth, P et al 2017, 'The association between Western and Prudent dietary patterns and fasting blood glucose levels in type 2 diabetes and normal glucose metabolism in older Australian adults', Heliyon, vol. 3, no. 6, pp. 1-17pp.
  • Walsh, E, Jacka, F, Butterworth, P et al 2017, 'The association between Western and Prudent dietary patterns and fasting blood glucose levels in type 2 diabetes and normal glucose metabolism in older Australian adults', Heliyon, vol. 3, no. 6, pp. 1-17pp.
  • Walsh, E, Shaw, M, Sachdev, P et al 2017, 'Brain atrophy in ageing: Estimating effects of blood glucose levels vs. other type 2 diabetes effects', Diabetes and Metabolism, vol. -, no. -, pp. 1-4pp.
  • Cherbuin, N, Shaw, M, Walsh, E et al 2017, 'Validated Alzheimer's Disease Risk Index (ANU-ADRI) is associated with smaller volumes in the default mode network in the early 60s', Brain Imaging and Behavior, vol. 13, no. 1, pp. 65-74.
  • Walsh, E & Brinker, J 2016, 'Short and Sweet? Length and Informative Content of Open-Ended Responses Using SMS as a Research Mode', Journal of Computer-Mediated Communication, vol. 21, no. 1, pp. 87-100.
  • Walsh, E & Brinker, J 2016, 'Should participants be given a mobile phone, or use their own? Effects of novelty vs utility', Telematics and Informatics, vol. 33, no. 1, pp. 25-33.
  • Walsh, E & Brinker, J 2016, 'Short and Sweet? Length and Informative Content of Open-Ended Responses Using SMS as a Research Mode', Journal of Computer-Mediated Communication, vol. 21, no. 1, pp. 87-100.
  • Busby Grant, J & Walsh, E 2016, 'Exploring the Use of Experience Sampling to Assess Episodic Thought', Applied Cognitive Psychology, vol. 30, no. 3, pp. 472-478.
  • Walsh, E & Brinker, J 2016, 'Is SMS APPropriate? Comparative properties of SMS and apps for repeated measures data collection', European Journal of Psychological Assessment, vol. 35, no. 1, pp. 1-7.
  • Walsh, E & Brinker, J 2015, 'Delay between recruitment and participation impacts on preinclusion attrition', Quarterly Journal of Experimental Psychology, vol. 68, no. 4, pp. 635-640.
  • Walsh, E & Brinker, J 2015, 'Temporal considerations for self-report research using Short Message Service', Journal of media psychology, vol. Online, pp. (7 pp).
  • Grant, W & Walsh, E 2015, 'Social evidence of a changing climate:Google Ngram data points to early climate change impact on human society', Weather, vol. 70, no. 7, pp. 195-197.
  • Longden, E, Davis, P, Billington, J et al 2015, 'Shared reading: Assessing the intrinsic value of a literature-based health intervention', Medical Humanities, vol. 41, no. 2, pp. 113-120.
  • Walsh, E, Arundell, M & Brinker, J 2014, 'SMS4Deaf - SMS as a mode for psychology research with the Deaf', Journal of Communication Disorders, Deaf Studies & Hearing Aids, vol. 2, no. 3, p. 1000115.
  • Walsh, E & Brinker, J 2014, 'Assumptions of age and mobile handset type', Gerontechnology, vol. 12, no. 3, pp. 169-173.
  • Walsh, E & Brinker, J 2012, 'Evaluation of a short message service diary methodology in a nonclinical, naturalistic setting', Cyberpsychology Behavior and Social Networking, vol. 15, no. 11, pp. 615-618.