The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Validity of a short questionnaire to assess physical activity in 10 European countries
Open accessAbstract
To accurately examine associations of physical activity (PA) with disease outcomes, a valid method of assessing free-living activity is required. We examined the validity of a brief PA questionnaire (PAQ) used in the European Prospective Investigation into Cancer and Nutrition (EPIC). PA energy expenditure (PAEE) and time spent in moderate and vigorous physical activity (MVPA) was measured in 1,941 healthy individuals from 10 European countries using individually-calibrated combined heart-rate and movement sensing. Participants also completed the short EPIC-PAQ, which refers to past year's activity. Pearson (r) and Spearman (σ) correlation coefficients were calculated for each country, and random effects meta-analysis was used to calculate the combined correlation across countries to estimate the validity of two previously- and one newly-derived ordered, categorical PA indices ("Cambridge index", "total PA index", and "recreational index") that categorized individuals as inactive, moderately inactive, moderately active, or active. The strongest associations with PAEE and MVPA were observed for the Cambridge index (r = 0.33 and r = 0.25, respectively). No significant heterogeneity by country was observed for this index (I(2) = 36.3%, P = 0.12; I(2) = 0.0%, P = 0.85), whereas heterogeneity was suggested for other indices (I(2) > 48%, P < 0.05, I(2) > 47%, P < 0.05). PAEE increased linearly across self-reported PA categories (P for trend <0.001), with an average difference of approximately 460 kJ/d for men and 365 kJ/d for women, between categories of the Cambridge index. The EPIC-PAQ is suitable for categorizing European men and women into four distinct categories of overall physical activity. The difference in PAEE between categories may be useful when estimating effect sizes from observational research.
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
Riboli, E., Hunt, K., Slimani, N., Ferrari, P., Norat, T., Fahey, M., Charrondière, U., Hémon, B., Casagrande, C., Vignat, J., et al. (2002) · Public Health Nutrition · doi:10.1079/phn2002394 · Cited by 1,866
Basal metabolic rate studies in humans: measurement and development of new equations
Henry, C. (2005) · Public Health Nutrition · doi:10.1079/phn2005801 · Cited by 1,033 · cited 1×
“The intensity threshold for MVPA was set at 3 metabolic equivalent task units (METs), with 1 MET defined according to the Oxford resting metabolic rate equations [17].”
MethodUpdating the evidence that physical activity is good for health: an epidemiological review 2000–2003
Bauman, A. E. (2004) · Journal of Science and Medicine in Sport · doi:10.1016/s1440-2440(04)80273-1 · Cited by 768
Brage, S., Brage, N., Franks, P. W., Ekelund, U., Wong, M.-Y., Andersen, L. B., Froberg, K., & Wareham, N. J. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00703.2003 · Cited by 473 · cited 1×
“Activity intensity (J/min/kg) for each time point was estimated from the combination of movement registration and individually calibrated HR [14] using a branched equation framework [16].”
MethodAccuracy of the Actiheart for the assessment of energy expenditure in adults
Crouter, S. E., Churilla, J. R., & Bassett, D. R. (2008) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602766 · Cited by 236
Integration of physiological and accelerometer data to improve physical activity assessment
STRATH, S. J., BRAGE, S., & EKELUND, U. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185650.68232.3f · Cited by 126
Cited by
Strath, S. J., Kaminsky, L. A., Ainsworth, B. E., Ekelund, U., Freedson, P. S., Gary, R. A., Richardson, C. R., Smith, D. T., & Swartz, A. M. (2013) · Circulation · doi:10.1161/01.cir.0000435708.67487.da · Cited by 1,029
Ekelund, U., Ward, H. A., Norat, T., Luan, J., May, A. M., Weiderpass, E., Sharp, S. J., Overvad, K., Østergaard, J. N., Tjønneland, A., et al. (2015) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.100065 · Cited by 347
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
Engberg, I., Segerstedt, J., Waller, G., Wennberg, P., & Eliasson, M. (2017) · BMC Public Health · doi:10.1186/s12889-017-4623-y · Cited by 230
Age at Menarche and Type 2 Diabetes Risk
Elks, C. E., Ong, K. K., Scott, R. A., van der Schouw, Y. T., Brand, J. S., Wark, P. A., Amiano, P., Balkau, B., Barricarte, A., Boeing, H., et al. (2013) · Diabetes Care · doi:10.2337/dc13-0446 · Cited by 186
Metadata
- Authors
- The InterAct Consortium
- Venue
- European Journal of Epidemiology
- Published
- 2011-11-17
- Volume
- 27
- Issue
- 1
- Pages
- 15-25
- ISSN
- 0393-2990 (ISSN-L)
- 1573-7284
- OpenAlex
- W2133363081
- Cited by
- 230
- References
- 6
- FWCI
- 8.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Validity of a short questionnaire to assess physical activity in 10 European countries. https://app.cochat.ai/papers/10.1007/s10654-011-9625-y
- The paper
- The InterAct Consortium. (2012). Validity of a short questionnaire to assess physical activity in 10 European countries. European Journal of Epidemiology. https://doi.org/10.1007/s10654-011-9625-y
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.