Accuracy and validity of a combined heart rate and motion sensor for the measurement of free-living physical activity energy expenditure in adults in Cameroon
Open accessAbstract
BACKGROUND: The increasing burden of non-communicable diseases in sub-Saharan Africa (SSA) warrants rigorous studies of contributing lifestyle factors. Combined heart rate (HR) and movement monitoring make it possible to objectively measure physical activity in free-living individuals. We examined the validity of a combined HR and motion sensor in estimating physical activity energy expenditure (PAEE) in free-living adults in rural and urban Cameroon compared with doubly-labelled water (DLW) as criterion. METHODS: PAEE was measured in 33 free-living rural and urban dwellers by DLW over 7 consecutive days. Simultaneously, the combined sensor recorded HR and uni-axial acceleration. Individual HR vs PAEE calibration was done by a step test. Branched equation modelling was used to estimate PAEE from HR and acceleration. Validity and accuracy of prediction were expressed as mean bias and root mean square error (RMSE). Agreement was analysed using Bland and Altman limits of agreement (LOA). RESULTS: There was no significant mean bias between PAEE estimated from the combined sensor or measured by DLW [mean bias (standard error): -5.4 (5.1) kJ/kg/day; P = 0.3; RMSE = 29.3 kJ/kg/day]. The bias doubled for group compared with individual calibration of HR [-9.1 (5.0) kJ/kg/day, P = 0.08]. PAEE prediction was more accurate in urban compared with rural volunteers. The 95% LOAs between predicted and measured PAEE were ∼50-60 kJ/kg/day above or below perfect agreement. CONCLUSIONS: Combined HR and movement sensing is a valid method for estimating free-living PAEE on group level in adults in SSA.
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At least one study has shown that combining accelerometry with heart rate can provide estimates of energy expenditure for free-living activity similar to those obtained from doubly labeled water.
“At least one study has shown that combining accelerometry with heart rate can provide estimates of energy expenditure for free-living activity similar to those obtained from DLW [35].”
From Physical Activity and Modernization among Bolivian Amerindians (2013) · cites this paper as [35]
The research devices BodyMedia Core and Actiheart have been extensively validated and shown to accurately predict energy expenditure.
“These research devices (BodyMedia Core and Actiheart™) have been extensively validated and shown to accurately predict energy expenditure [11,20–28].”
From Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors (2017) · cites this paper as [26]
Individual calibration improves Actiheart energy expenditure prediction in free-living and laboratory settings.
“Individual calibration has been shown to improve energy expenditure prediction in free-living [24,26,27] and laboratory settings [23,25].”
From Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors (2017) · cites this paper as [26]
The Actiheart has previously been validated against doubly labelled water and used as a criterion measure of free-living energy expenditure in epidemiology studies.
“The Actiheart™ has previously been validated against doubly labelled water [24,26,27] and has been used as a criterion measure of free-living energy expenditure in epidemiology studies [35].”
From Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors (2017) · cites this paper as [26]
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- Authors
- Assah, F. K., Ekelund, U., Brage, S., Wright, A., Mbanya, J. C., & Wareham, N. J.
- Affiliations
- University of Cambridge (GB)
- MRC Elsie Widdowson Laboratory (GB)
- Université de Yaoundé I (CM)
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-06-05
- Volume
- 40
- Issue
- 1
- Pages
- 112-120
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2161984557
- Cited by
- 132
- References
- 61
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 3 · 2022: 8 · 2021: 1 · 2020: 21 · 2019: 3 · 2018: 8 · 2017: 7 · 2016: 11 · 2015: 10 · 2014: 15 · 2013: 16 · 2012: 15
- FWCI
- 9.30
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- Locations
- International Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- HighWire Press Open Archive (submittedVersion)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- 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
- physical activity energy expenditure, heart rate monitoring, accelerometry, doubly labeled water, measurement validity, free-living physical activity, urban-rural differences, sub-Saharan Africa, Cameroon, non-communicable diseases
- MeSH terms
- Adult, Cameroon, Energy Metabolism, Female, Heart Rate, Humans, Male, Monitoring, Physiologic, Motor Activity, Movement, Predictive Value of Tests, Reproducibility of Results
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