Clare Strongman

Clare is a sports scientist who uses mixed methods research to explore the effects of physical activity on long term health conditions.

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Background

Clare joined the Vision and Eye Research Institute (VERI) at ARU in 2024 after studying a PhD in biomechanics and diabetes. She is also an active sports science practitioner, and is a qualified personal trainer, running coach and Pilates teacher.

Clare’s research combines qualitative and quantitative approaches to understand the effect of exercise intervention on health conditions such as diabetes and visual impairment. She is also interested in lived experience of people with long term health conditions, and in particular representing and foregrounding the voices of people with disabilities in research.

Clare also works as a Lecturer in Computer Science, Maths and Sport Science at the Open University.

Research interests

• Biomechanics
• Movement variability
• Qualitative methods
• Visual impairment
• Diabetes

Teaching

• BSc (Hons) Sport and Exercise Science
• MSc Psychology

Qualifications

• MSc Sports Science, Anglia Ruskin University
• MA Education, Open University
• Fellow of the Higher Education Academy (FHEA)
• PG Cert Education, Open University
• BSc (Hons) Maths, University of Bristol
• BA (Hons) English Literature, Open University
• BSc (Hons) Computer Science, Open University

Memberships, editorial boards

• Women in Vision member
• British Association of Sport and Exercise Sciences (BASES) member
• Chartered Institute for the Management of Sport and Physical Activity (CIMSPA) member
• International Society of Qualitative Research in Sport and Exercise (QRSE) member
• Reviewer for peer reviewed journals: Human Movement Science, British Journal of Visual Impairment, Sport and Exercise Performance Psychology, Scientific Reports, Journal of Visual Impairment and Blindness.

Selected recent publications

Strongman, C., Cavallerio, F., Timmis, M. A. and Morrison, A. (2023) 'Evaluating consistency of physical activity and exercise prescription in the UK for people with diabetes: a Delphi study', Frontiers in Clinical Diabetes and Healthcare, 4.

Strongman, C., Lindsay, R. K., Riches, A., Cavallerio, F., Gordon, D. and Morrison, A. (2023) '‘Sometimes I feel like dancing afterwards’: Exploring experiences of Pilates as a ‘return to sport’ intervention after the COVID-19 lockdown in UK adults with visual impairment', British Journal of Visual Impairment.

Strongman, C., Cavallerio, F., Timmis, M. A. and Morrison, A. (2023) 'A Scoping Review of the Validity and Reliability of Smartphone Accelerometers When Collecting Kinematic Gait Data', Sensors, 23.

Swain, P., James, E., Laws, J. M., Strongman, C., Haw, S., Barry, G., Chung, H. C. and Gordon, D. (2022) 'COVID-19 : self-reported reductions in physical activity and increases in sedentary behaviour during the first national lockdown in the United Kingdom', Sports Sci Health, 19, pp. 139-146.

Strongman, C., Swain, P., Chung, H., Merzbach, V. and Gordon, D. (2022) 'COVID-19: Social Distancing and Physical Activity in UK Residents with Visual Impairment', Journal of Visual Impairment and Blindness, 116(6), pp. 806-816.

Strongman, C. and Morrison, A. (2021) 'Evaluating dynamic similarity of fixed, self-selected and anatomically scaled speeds in non-linear analysis of gait during treadmill running', Human Movement Science, 76, 102768.

Strongman, C. and Morrison, A. (2020) 'A scoping review of non-linear analysis approaches measuring variability in gait due to lower body injury or dysfunction', Human Movement Science, 69, 102562.

Recent presentations and conferences

Strongman, C., Cavallerio, F., Timmis, M. and Morrison, A. (2023) ‘Evaluating smartphone accelerometry data as a valid and reliable alternative to Actigraph technology in measuring human movement’, Seventeenth Annual Postgraduate Researchers' Conference, ARU.

Strongman, C., Lindsay, R. K. and Cavallerio, F. (2023) ‘Reflections on co-creating Pilates-based exercise interventions with people with visual impairment - a collaborative autoethnography’, BASES Student Conference.

Strongman, C., Cavallerio, F., Timmis, M. and Morrison, A. (2023) ‘Evaluating smartphone accelerometery data as a valid and reliable alternative to Actigraph technology in measuring human movement’, BASES Student Conference.

Strongman, C., Cavallerio, F., Timmis, M. and Morrison, A. (2022) ‘Evaluating non-medical interventions in people with diabetes’, International Society of Qualitative Research in Sport and Exercise Conference.

Strongman, C., Cavallerio, F., Gordon, D. and Morrison, A. (2022) ‘Evaluating the effectiveness of Pilates-based exercise interventions in adults with visual impairment’, BASES Conference.

Strongman, C. and Muir, J. (2022) ‘What do titi monkeys and diabetic walking have in common?’, ARU FSE Faculty Conference.

Strongman, C., Cavallerio, F., Timmis, M. and Morrison, A. (2022) ‘Evaluating consistency of physical activity and exercise prescription for people with diabetes – a Delphi study’, Sixteenth Annual Postgraduate Researchers' Conference, ARU.

Strongman, C., Cavallerio, F., Timmis, M. and Morrison, A. (2022) ‘The effect of exercise interventions on non-linear gait variability in people with diabetes’, Medical Technology Research Centre Conference, ARU.

Strongman, C., Cavallerio, F., Timmis, M. and Morrison, A. (2021) 'Using exercise interventions with people with diabetes', Fifteenth Annual Postgraduate Researchers' Conference, ARU.

Strongman, C. and Cavallerio, F. (2021) 'Reflections on using the ‘go-along’ method to co-create research with people with disabilities', International Society of Qualitative Research in Sport and Exercise ECR and Student Conference.

Strongman, C. and Morrison, A. (2019) 'Evaluating dynamic similarity in non-linear analysis of gait', BASES Conference.