Kim van Schootenprofile image
Dr

Kim van Schooten


Current Appointments

Senior Research Fellow
Conjoint Senior Lecturer, School of Population Health, UNSW
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Kim van Schooten is a senior research fellow at NeuRA and a conjoint senior lecturer at UNSW, supported by the Human Frontier Science Program. She obtained her PhD in 2014 from the faculty of Human Movement Sciences, Vrije Universiteit Amsterdam (the Netherlands). She was a Mitacs & Michael Smith Foundation for Health Research postdoctoral fellow at the faculty of Biomedical Physiology and Kinesiology, Simon Fraser University and the Centre for Hip Health and Mobility, University of British Columbia (Canada). Her research focuses on balance control and fall risk in seniors. She is particularly interested in the underlying mechanisms of balance impairments and methodologies for ambulatory mobility monitoring using wearable sensors. Through a combination of experimental and epidemiological studies, she studies how people maintain and recover balance during daily life activities to improve our understanding of why falls occur and to reveal targets for preventing mobility impairments and falls.


Publications

2025 May

Virtual reality obstacle avoidance training can be enhanced by physical feedback via perturbations: A proof-of-concept study

View full journal-article on https://doi.org/10.1016/j.apergo.2024.104442

2024, 01 Dec

Efficacy of obstructive sleep apnea treatment in reducing fall risk in older adults: Study protocol for a clinical trial

View full journal-article on https://app.dimensions.ai/details/publication/pub.1182104992

2024, 01 Sep

The relationship between pain, quality of life and physical activity in older community living Australians

View full journal-article on https://app.dimensions.ai/details/publication/pub.1174439839

2024, 13 Aug

The Impact of Misaligned Perceived and Objective Fall Risk in Cognitively Impaired Older People

View full journal-article on https://app.dimensions.ai/details/publication/pub.1173989825

2024, 01 Aug

External Validation and Further Exploration of Fall Prediction Models Based on Questionnaires and Daily-Life Trunk Accelerometry

View full journal-article on https://app.dimensions.ai/details/publication/pub.1173113228

2024, 01 Jun

Brain and brawn in balance: Central processing speed and muscle torque development speed are independently associated with the ability to recover balance with feet-in-place

View full journal-article on https://app.dimensions.ai/details/publication/pub.1170615377

2024, 02 Feb

Protocol of a 12-week eHealth programme designed to reduce concerns about falling in community-living older people: Own Your Balance randomised controlled trial

View full journal-article on https://app.dimensions.ai/details/publication/pub.1168540469

2024, 24 Jan

Effects of a multicomponent physical activity programme, Mobility-Fit, compared with a standard care lower limb strengthening programme, to promote safe mobility among older adults in care facilities: protocol for a cluster randomised controlled trial

View full journal-article on https://app.dimensions.ai/details/publication/pub.1168240987

2023, 24 Nov

Association of Prospective Falls in Older People With Ubiquitous Step-Based Fall Risk Parameters Calculated From Ambulatory Inertial Signals: Secondary Data Analysis

View full journal-article on https://doi.org/10.2196/49587

2023, 01 Oct

Fall risk stratification of community-living older people. Commentary on the world guidelines for fall prevention and management

View full journal-article on https://app.dimensions.ai/details/publication/pub.1165313953