The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Estimation of Daily Energy Expenditure in Pregnant and Non-Pregnant Women Using a Wrist-Worn Tri-Axial Accelerometer
Open accessAbstract
BACKGROUND: Few studies have compared the validity of objective measures of physical activity energy expenditure (PAEE) in pregnant and non-pregnant women. PAEE is commonly estimated with accelerometers attached to the hip or waist, but little is known about the validity and participant acceptability of wrist attachment. The objectives of the current study were to assess the validity of a simple summary measure derived from a wrist-worn accelerometer (GENEA, Unilever Discover, UK) to estimate PAEE in pregnant and non-pregnant women, and to evaluate participant acceptability. METHODS: Non-pregnant (N = 73) and pregnant (N = 35) Swedish women (aged 20-35 yrs) wore the accelerometer on their wrist for 10 days during which total energy expenditure (TEE) was assessed using doubly-labelled water. PAEE was calculated as 0.9×TEE-REE. British participants (N = 99; aged 22-65 yrs) wore accelerometers on their non-dominant wrist and hip for seven days and were asked to score the acceptability of monitor placement (scored 1 [least] through 10 [most] acceptable). RESULTS: There was no significant correlation between body weight and PAEE. In non-pregnant women, acceleration explained 24% of the variation in PAEE, which decreased to 19% in leave-one-out cross-validation. In pregnant women, acceleration explained 11% of the variation in PAEE, which was not significant in leave-one-out cross-validation. Median (IQR) acceptability of wrist and hip placement was 9(8-10) and 9(7-10), respectively; there was a within-individual difference of 0.47 (p<.001). CONCLUSIONS: A simple summary measure derived from a wrist-worn tri-axial accelerometer adds significantly to the prediction of energy expenditure in non-pregnant women and is scored acceptable by participants.
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
The Effect of Social Desirability and Social Approval on Self-Reports of Physical Activity
Adams, S. A. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi054 · Cited by 1,160 · cited 1×
“Nonetheless, the current findings in non-pregnant women are comparable to the accuracy reported for accelerometer positioned on the hip or lower back [9,32–34].”
The 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
Self-citationPhysical Activity Assessment With Accelerometers: An Evaluation Against Doubly Labeled Water
Plasqui, G., & Westerterp, K. R. (2007) · Obesity · doi:10.1038/oby.2007.281 · Cited by 654
Validation of the GENEA Accelerometer
ESLIGER, D. W., ROWLANDS, A. V., HURST, T. L., CATT, M., MURRAY, P., & ESTON, R. G. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31820513be · Cited by 625
Self-citationAccelerometers and pedometers: methodology and clinical application
Corder, K., Brage, S., & Ekelund, U. (2007) · Current Opinion in Clinical Nutrition and Metabolic Care · doi:10.1097/mco.0b013e328285d883 · Cited by 339
Self-citation
Cited by
Doherty, A., Jackson, D., Hammerla, N., Plötz, T., Olivier, P., Granat, M. H., White, T., van Hees, V. T., Trenell, M. I., Owen, C. G., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0169649 · Cited by 1,250
Self-citationAge Group Comparability of Raw Accelerometer Output from Wrist- and Hip-Worn Monitors
HILDEBRAND, M., VAN HEES, V. T., HANSEN, B. H., & EKELUND, U. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000289 · Cited by 1,043
Self-citationMigueles, J. H., Rowlands, A. V., Huber, F., Sabia, S., & van Hees, V. T. (2019) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2018-0063 · Cited by 955
A novel, open access method to assess sleep duration using a wrist-worn accelerometer
van Hees, V. T., Sabia, S., Anderson, K. N., Denton, S. J., Oliver, J., Catt, M., Abell, J. G., Kivimäki, M., Trenell, M. I., & Singh-Manoux, A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0142533 · Cited by 744
Self-citationFerguson, T., Rowlands, A. V., Olds, T., & Maher, C. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0201-9 · Cited by 468
Metadata
- Authors
- van Hees, V. T., Renström, F., Wright, A., Gradmark, A., Catt, M., Chen, K. Y., Löf, M., Bluck, L., Pomeroy, J., Wareham, N. J., Ekelund, U., Brage, S., & Franks, P. W.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-07-29
- Volume
- 6
- Issue
- 7
- Pages
- e22922
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2109270820
- Cited by
- 289
- References
- 6
- FWCI
- 5.39
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Estimation of Daily Energy Expenditure in Pregnant and Non-Pregnant Women Using a Wrist-Worn Tri-Axial Accelerometer. https://app.cochat.ai/papers/10.1371/journal.pone.0022922
- The paper
- van Hees, V. T., Renström, F., Wright, A., Gradmark, A., Catt, M., Chen, K. Y., Löf, M., Bluck, L., Pomeroy, J., Wareham, N. J., Ekelund, U., Brage, S., & Franks, P. W. (2011). Estimation of Daily Energy Expenditure in Pregnant and Non-Pregnant Women Using a Wrist-Worn Tri-Axial Accelerometer. PLoS ONE. https://doi.org/10.1371/journal.pone.0022922
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.