Lack of Correlation between Accelerometers and Heart-Rate Monitorization during Exercise Session in Older Adults
Open accessAbstract
Aging is increasing worldwide; hence, aging-related health is also more relevant. Well-programmed physical exercise is now an indispensable tool to achieve active aging and preserve older people's health. Such "well-programmed" exercise requires efficient and useful tools to measure the activity. The objective of this study is to evaluate the effectiveness of accelerometers to estimate two different intensities of physical exercise in older people. Thirty-eight subjects (64.5 ± 5.3 years) were measured during two different sessions of physical exercise: one moderate in intensity, the other of low intensity. Heart rate and accelerometry were recorded and analyzed. The results showed that the two variables in the physical exercise sessions were not highly correlated, and that accelerometry did not seem useful to assess low-intensity sessions not based on walking.
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Generic targets based on broad classifications of intensity are effective at encouraging general lifestyle physical activity, but the one-size-fits-all approach does not provide personalised formative feedback.
“Generic targets based on such broad classifications of intensity are effective at encouraging general lifestyle PA, but the one-size-fits-all approach does not provide personalised formative feedback.”
From Mobile Health Biometrics to Enhance Exercise and Physical Activity Adherence in Type 2 Diabetes (MOTIVATE-T2D): a decentralised feasibility randomised controlled trial delivered across the UK and Canada (2025) · cites this paper as [18]
The Discussion (page not supplied) says standard accelerometer cut-offs may miss differences in older adults’ functional ability and calls for more specific cut-offs, supporting the concern about a one-size-fits-all approach. The paper does not establish that generic intensity targets encourage lifestyle physical activity or assess whether they provide personalised formative feedback. (LLM, conf=0.79)
Experimental — accuracy not yet measuredParticipants cannot use generic intensity targets to optimise intensity during purposeful exercise, which may be crucial for improving glycaemic control.
“Therefore, participants cannot use these targets to optimise intensity during purposeful exercise,18 which may be crucial for improving glycaemic control.4”
From Mobile Health Biometrics to Enhance Exercise and Physical Activity Adherence in Type 2 Diabetes (MOTIVATE-T2D): a decentralised feasibility randomised controlled trial delivered across the UK and Canada (2025) · cites this paper as [18]
The Discussion (page unavailable) says accelerometers inadequately assess some exercise sessions in older adults and calls for intensity cut-offs tailored to functional ability and exercise type. This supports a limitation of generic accelerometer targets, but not the broader claim that participants generally cannot use generic intensity targets to optimise exercise. The glycaemic-control clause is attached to a different citation and is not judged here. (LLM, conf=0.82)
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- Authors
- Carbonell-Hernández, L., Pastor, D., Jiménez-Loaisa, A., Ballester-Ferrer, J. A., Montero-Carretero, C., & Cervelló, E.
- Affiliations
- Universitat de Miguel Hernández d'Elx (ES)
- Corresponding author
- Pastor, Diego
- ORCID
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2020-07-30
- Volume
- 17
- Issue
- 15
- Pages
- 5518
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC7432703
- OpenAlex
- W3046028643
- Cited by
- 8
- References
- 27
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 2
- FWCI
- 0.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministerio de Ciencia e Innovación (RTI2018-098335-B-I00, MCIU/AEI/FEDER, UE)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Keywords
- accelerometer, heart rate monitoring, exercise intensity, older adults, active ageing, exercise monitoring, low-intensity exercise, walking, activity measurement
- MeSH terms
- Aged, Heart Rate, Humans, Exercise, Walking, Accelerometry
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