The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status
Open accessAbstract
Background: The purpose of this study is to compare self-reported time (by questionnaire) and objectively measured time (by accelerometer) spent on physical activity at moderate (MPA) and vigorous intensity (VPA) in subgroups of age, gender, education and weight status. Methods: In total, 236 adolescents (aged 12–18) and 301 adults (aged 22–40), completed the questionnaire and wore an accelerometer for two weeks. Results: Adolescents reported exceptionally more time spent on MPA (mean difference 596 ± 704 min/wk) and VPA (mean difference 178 ± 315 min/wk) than was assessed objectively by the accelerometer. Based on the questionnaire, high educated adolescents spent more time on MPA (205 min/wk, p = 0.002) and VPA (120 min/wk, p = 0.01) than low educated adolescents, but according to the accelerometer they spent less time on MPA (149 min/wk, p = 0.001) and VPA (47 min/wk, p = 0.001). Among adults there was moderate agreement between self-reported time and objectively measured time spent on MPA, but in general the reported time spent on MPA (mean difference 107 ± 334 min/wk) and VPA (mean difference 169 ± 250 min/wk) exceeded the time measured with the accelerometer. Overweight adults reported significantly more VPA (57 min/wk, p = 0.04) than normal weight adults, but this was not confirmed by the accelerometer data. Conclusion: We observed large differences in time spent on MPA and VPA measured by questionnaire and accelerometer in adolescents but reasonably good agreement in adults. Differences between methods varied by gender, education and weight status. This finding raises serious questions about the use of questionnaires to quantify MPA and VPA in adolescents. There is a clear need in advanced valid assessments of PA in adolescents. Trial number: ISRCTN93896459
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
Establishing a standard definition for child overweight and obesity worldwide: international survey
Cole, T. J. (2000) · BMJ · doi:10.1136/bmj.320.7244.1240 · Cited by 16,480
‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Hills, A. P., Byrne, N. M., Lindstrom, R., & Hill, J. O. (2013) · Obesity Facts · doi:10.1159/000345030 · Cited by 9,493
Compendium of physical activities: an update of activity codes and MET intensities
AINSWORTH, B. E., HASKELL, W. L., WHITT, M. C., IRWIN, M. L., SWARTZ, A. M., STRATH, S. J., O???BRIEN, W. L., BASSETT, D. R., SCHMITZ, K. H., EMPLAINCOURT, P. O., et al. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200009001-00009 · Cited by 8,497
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
Assessment of physical activity by self-report: Status, limitations, and future directions
Sallis, J. F., & Saelens, B. E. (2000) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2000.11082780 · Cited by 2,351
Conducting accelerometer-based activity assessments in field-based research
TROST, S. G., MCIVER, K. L., & PATE, R. R. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185657.86065.98 · Cited by 2,033
Age and gender differences in objectively measured physical activity in youth
TROST, S. G., PATE, R. R., SALLIS, J. F., FREEDSON, P. S., TAYLOR, W. C., DOWDA, M., & SIRARD, J. (2002) · Medicine and Science in Sports and Exercise · doi:10.1097/00005768-200202000-00025 · Cited by 1,451
Wendel-Vos, G. (2003) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(03)00220-8 · Cited by 1,401
Moderate-to-Vigorous Physical Activity From Ages 9 to 15 Years
Nader, P. R. (2008) · JAMA · doi:10.1001/jama.300.3.295 · Cited by 1,210
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 by
Sabia, S., van Hees, V. T., Shipley, M. J., Trenell, M. I., Hagger-Johnson, G., Elbaz, A., Kivimaki, M., & Singh-Manoux, A. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwt330 · Cited by 304
Mörkl, S., Lackner, S., Müller, W., Gorkiewicz, G., Kashofer, K., Oberascher, A., Painold, A., Holl, A., Holzer, P., Meinitzer, A., et al. (2017) · International Journal of Eating Disorders · doi:10.1002/eat.22801 · Cited by 181
Kwon, 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
Knittle, K., Maes, S., & de Gucht, V. (2010) · Arthritis Care & Research · doi:10.1002/acr.20251 · Cited by 146
Jauho, A.-M., Pyky, R., Ahola, R., Kangas, M., Virtanen, P., Korpelainen, R., & Jämsä, T. (2015) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2015.07.005 · Cited by 84
Metadata
- Authors
- Slootmaker, S. M., Schuit, A. J., Chinapaw, M. J., Seidell, J. C., & van Mechelen, W.
- Venue
- International Journal of Behavioral Nutrition and Physical Activity
- Published
- 2009-03-25
- Volume
- 6
- Issue
- 1
- Pages
- 17-17
- ISSN
- 1479-5868 (ISSN-L)
- OpenAlex
- W2132116941
- Cited by
- 304
- References
- 38
- FWCI
- 8.46
- 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: Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status. https://app.cochat.ai/papers/10.1186/1479-5868-6-17
- The paper
- Slootmaker, S. M., Schuit, A. J., Chinapaw, M. J., Seidell, J. C., & van Mechelen, W. (2009). Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status. International Journal of Behavioral Nutrition and Physical Activity. https://doi.org/10.1186/1479-5868-6-17
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.