The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Assessment of Physical Activity and Energy Expenditure: An Overview of Objective Measures
Open accessAbstract
The ability to assess energy expenditure (EE) and estimate physical activity (PA) in free-living individuals is extremely important in the global context of non-communicable diseases including malnutrition, overnutrition (obesity), and diabetes. It is also important to appreciate that PA and EE are different constructs with PA defined as any bodily movement that results in EE and accordingly, energy is expended as a result of PA. However, total energy expenditure, best assessed using the criterion doubly labeled water (DLW) technique, includes components in addition to physical activity energy expenditure, namely resting energy expenditure and the thermic effect of food. Given the large number of assessment techniques currently used to estimate PA in humans, it is imperative to understand the relative merits of each. The goal of this review is to provide information on the utility and limitations of a range of objective measures of PA and their relationship with EE. The measures discussed include those based on EE or oxygen uptake including DLW, activity energy expenditure, physical activity level, and metabolic equivalent; those based on heart rate monitoring and motion sensors; and because of their widespread use, selected subjective measures.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
Compendium of Physical Activities: Classification of energy costs of human physical activities
AINSWORTH, B. E., HASKELL, W. L., LEON, A. S., JACOBS, D. R., MONTOYE, H. J., SALLIS, J. F., & PAFFENBARGER, R. S. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199301000-00011 · Cited by 4,102
Calibration of the Computer Science and Applications, Inc. accelerometer
FREEDSON, P. S., MELANSON, E., & SIRARD, J. (1998) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199805000-00021 · Cited by 3,825
Kleiber, M. (1947) · Physiological Reviews · doi:10.1152/physrev.1947.27.4.511 · Cited by 1,817
Limits to the measurement of habitual physical activity by questionnaires
Shephard, R. J. (2003) · British Journal of Sports Medicine · doi:10.1136/bjsm.37.3.197 · Cited by 1,694
Determinants of 24-hour energy expenditure in man. Methods and results using a respiratory chamber.
Ravussin, E., Lillioja, S., Anderson, T. E., Christin, L., & Bogardus, C. (1986) · Journal of Clinical Investigation · doi:10.1172/jci112749 · Cited by 1,166
BLAIR, S. N., HASKELL, W. L., HO, P., PAFFENBARGER, R. S., VRANIZAN, K. M., FARQUHAR, J. W., & WOOD, P. D. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114163 · Cited by 1,104
Manson, J. E., Hu, F. B., Rich-Edwards, J. W., Colditz, G. A., Stampfer, M. J., Willett, W. C., Speizer, F. E., & Hennekens, C. H. (1999) · New England Journal of Medicine · doi:10.1056/nejm199908263410904 · Cited by 1,005 · cited 3×
“” Each activity in the MARCA is assigned a MET value to estimate EE based on an expanded version of the Ainsworth Compendium (17, 58).”
BackgroundMethodThe Technology of Accelerometry-Based Activity Monitors: Current and Future
CHEN, K. Y., & BASSETT, D. R. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185571.49104.82 · Cited by 996
Cited by
Koliada, A., Syzenko, G., Moseiko, V., Budovska, L., Puchkov, K., Perederiy, V., Gavalko, Y., Dorofeyev, A., Romanenko, M., Tkach, S., et al. (2017) · BMC Microbiology · doi:10.1186/s12866-017-1027-1 · Cited by 1,000
Heikura, I. A., Uusitalo, A. L. T., Stellingwerff, T., Bergland, D., Mero, A. A., & Burke, L. M. (2018) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.2017-0313 · Cited by 318
Human metabolic rate and thermal comfort in buildings: The problem and challenge
Luo, M., Wang, Z., Ke, K., Cao, B., Zhai, Y., & Zhou, X. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.01.005 · Cited by 231
Murakami, H., Kawakami, R., Nakae, S., Nakata, Y., Ishikawa-Takata, K., Tanaka, S., & Miyachi, M. (2016) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2016.0152 · Cited by 204
Impacts of climate change and heat stress on farmworkers’ health: a scoping review
El Khayat, M., Halwani, D. A., Hneiny, L., Alameddine, I., Haidar, M. A., & Habib, R. R. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.782811 · Cited by 204
Yang, H., Ji, S., Chaturvedi, I., Xia, H., Wang, T., Chen, G., Pan, L., Wan, C., Qi, D., Ong, Y.-S., et al. (2020) · ACS Materials Letters · doi:10.1021/acsmaterialslett.0c00085 · Cited by 189
Sleep and physical activity in university students: A systematic review and meta-analysis
Memon, A. R., Gupta, C. C., Crowther, M. E., Ferguson, S. A., Tuckwell, G. A., & Vincent, G. E. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2021.101482 · Cited by 180
Wahl, Y., Düking, P., Droszez, A., Wahl, P., & Mester, J. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00725 · Cited by 133
Paraschiakos, S., de Sá, C. R., Okai, J., Slagboom, P. E., Beekman, M., & Knobbe, A. (2022) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-021-00817-w · Cited by 31
Validation study of Polar V800 accelerometer
Hernández-Vicente, A., Santos-Lozano, A., De Cocker, K., & Garatachea, N. (2016) · Annals of Translational Medicine · doi:10.21037/atm.2016.07.16 · Cited by 23
How do we assess energy availability and RED-S risk factors in para athletes?
Jonvik, K. L., Vardardottir, B., & Broad, E. (2022) · Nutrients · doi:10.3390/nu14051068 · Cited by 21
Nazari, G., MacDermid, J. C., Sinden, K. E., Richardson, J., & Tang, A. (2019) · Physiotherapy Canada · doi:10.3138/ptc.2018-25 · Cited by 15
The importance of energetics in archaeological least cost analysis
Field, S., Glowacki, D. M., & Gettler, L. T. (2023) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-022-09564-8 · Cited by 13
Occupational physical activity in brewery and office workers
Thompson, J. F., Severson, R. L., & Rosecrance, J. C. (2018) · Journal of Occupational and Environmental Hygiene · doi:10.1080/15459624.2018.1492136 · Cited by 9
Metadata
- Authors
- Hills, A. P., Mokhtar, N., & Byrne, N. M.
- Venue
- Frontiers in Nutrition
- Publisher
- Frontiers Media SA
- Published
- 2014-06-16
- Volume
- 1
- Pages
- 5-5
- ISSN
- 2296-861X (ISSN-L)
- OpenAlex
- W2154568934
- Cited by
- 575
- References
- 25
- FWCI
- 13.99
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.