The DOI matches its Crossref record.
Use of Accelerometers in a Large Field-Based Study of Children: Protocols, Design Issues, and Effects on Precision
Abstract
Background: Objective methods can improve accuracy of physical activity measurement in field studies but uncertainties remain about their use. Methods: Children age 11 years from the Avon Longitudinal Study of Parents and Children (ALSPAC), were asked to wear a uni-axial accelerometer (MTI Actigraph) for 7 days. Results: Of 7159 children who attended for assessment, 5595 (78%) provided valid measures. The reliability coefficient for 3 days of recording was .7 and the power to detect a difference of 0.07 SDs (P ≤ .05) was > 90%. Measures tended to be higher on the first day of recording (17 counts/min; 95% CI, 10–24) and if children wore the monitor for fewer days, but these differences were small. The children who provided valid measures of activity were different from those who did not, but the differences were modest. Conclusion: Objective measures of physical activity can be incorporated into large longitudinal studies of children.
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
Cited by
Boyd, A., Golding, J., Macleod, J., Lawlor, D. A., Fraser, A., Henderson, J., Molloy, L., Ness, A., Ring, S., & Davey Smith, G. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dys064 · Cited by 2,996
Self-citationBest Practices for Using Physical Activity Monitors in Population-Based Research
MATTHEWS, C. E., HAGSTRÖMER, M., POBER, D. M., & BOWLES, H. R. (2012) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182399e5b · Cited by 703
Change in objectively measured physical activity during the transition to adolescence
Corder, K., Sharp, S. J., Atkin, A. J., Griffin, S. J., Jones, A. P., Ekelund, U., & van Sluijs, E. M. F. (2015) · British Journal of Sports Medicine · doi:10.1136/bjsports-2013-093190 · Cited by 220
Booth, J. N., Leary, S. D., Joinson, C., Ness, A. R., Tomporowski, P. D., Boyle, J. M., & Reilly, J. J. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2013-092334 · Cited by 177
Self-citationRichmond, R. C., Davey Smith, G., Ness, A. R., den Hoed, M., McMahon, G., & Timpson, N. J. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001618 · Cited by 167
Self-citationKwon, S., Janz, K. F., Letuchy, E. M., Burns, T. L., & Levy, S. M. (2015) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2015.0327 · Cited by 153
Longitudinal changes in sedentary time and physical activity during adolescence
Harding, S. K., Page, A. S., Falconer, C., & Cooper, A. R. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0204-6 · Cited by 133
Compensation of Physical Activity and Sedentary Time in Primary School Children
RIDGERS, N. D., TIMPERIO, A., CERIN, E., & SALMON, J. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000275 · Cited by 118
Collings, P. J., Wijndaele, K., Corder, K., Westgate, K., Ridgway, C. L., Dunn, V., Goodyer, I., Ekelund, U., & Brage, S. (2014) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-11-23 · Cited by 106
A Prospective Study of Sedentary Behavior in a Large Cohort of Youth
MITCHELL, J. A., PATE, R. R., DOWDA, M., MATTOCKS, C., RIDDOCH, C., NESS, A. R., & BLAIR, S. N. (2012) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182446c65 · Cited by 97
Self-citationCarson, R. L., Castelli, D. M., Pulling Kuhn, A. C., Moore, J. B., Beets, M. W., Beighle, A., Aija, R., Calvert, H. G., & Glowacki, E. M. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.08.025 · Cited by 81
Novel Smartphone Game Improves Physical Activity Behavior in Type 2 Diabetes
Höchsmann, C., Müller, O., Ambühl, M., Klenk, C., Königstein, K., Infanger, D., Walz, S. P., & Schmidt-Trucksäss, A. (2019) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2019.02.017 · Cited by 67
Brooke, H. L., Atkin, A. J., Corder, K., Ekelund, U., & van Sluijs, E. M. F. (2016) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2014.10.003 · Cited by 70
Permanent Play Facilities in School Playgrounds as a Determinant of Children’s Activity
Nielsen, G., Taylor, R., Williams, S., & Mann, J. (2010) · Journal of Physical Activity and Health · doi:10.1123/jpah.7.4.490 · Cited by 66
Metadata
- Authors
- Mattocks, C., Ness, A., Leary, S., Tilling, K., Blair, S. N., Shield, J., Deere, K., Saunders, J., Kirkby, J., Smith, G. D., Wells, J., Wareham, N., Reilly, J., & Riddoch, C.
- Venue
- Journal of Physical Activity and Health
- Publisher
- Human Kinetics
- Published
- 2008-01
- Volume
- 5
- Issue
- s1
- Pages
- S98-S111
- ISSN
- 1543-3080 (ISSN-L)
- 1543-5474
- OpenAlex
- W2119703495
- Cited by
- 395
- References
- 0
- FWCI
- 15.28
- Type
- journal article
- Language
- en
- Open access
- closed
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.
