The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Global Physical Activity Questionnaire (GPAQ): Nine Country Reliability and Validity Study
Abstract
Purpose: Instruments to assess physical activity are needed for (inter)national surveillance systems and comparison. Methods: Male and female adults were recruited from diverse sociocultural, educational and economic backgrounds in 9 countries (total n = 2657). GPAQ and the International Physical Activity Questionnaire (IPAQ) were administered on at least 2 occasions. Eight countries assessed criterion validity using an objective measure (pedometer or accelerometer) over 7 days. Results: Reliability coefficients were of moderate to substantial strength (Kappa 0.67 to 0.73; Spearman's rho 0.67 to 0.81). Results on concurrent validity between IPAQ and GPAQ also showed a moderate to strong positive relationship (range 0.45 to 0.65). Results on criterion validity were in the poor-fair (range 0.06 to 0.35). There were some observed differences between sex, education, BMI and urban/rural and between countries. Conclusions: Overall GPAQ provides reproducible data and showed a moderate-strong positive correlation with IPAQ, a previously validated and accepted measure of physical activity. Validation of GPAQ produced poor results although the magnitude was similar to the range reported in other studies. Overall, these results indicate that GPAQ is a suitable and acceptable instrument for monitoring physical activity in population health surveillance systems, although further replication of this work in other countries is warranted.
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
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
Rzewnicki, R., Auweele, Y. V., & Bourdeaudhuij, I. D. (2003) · Public Health Nutrition · doi:10.1079/phn2002427 · Cited by 480
Cited by
Global physical activity levels: surveillance progress, pitfalls, and prospects
Hallal, P. C., Andersen, L. B., Bull, F. C., Guthold, R., Haskell, W., & Ekelund, U. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60646-1 · Cited by 5,711
Self-citationCorrelates of physical activity: why are some people physically active and others not?
Bauman, A. E., Reis, R. S., Sallis, J. F., Wells, J. C., Loos, R. J., & Martin, B. W. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60735-1 · Cited by 4,151
The pandemic of physical inactivity: global action for public health
Kohl, H. W., Craig, C. L., Lambert, E. V., Inoue, S., Alkandari, J. R., Leetongin, G., & Kahlmeier, S. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60898-8 · Cited by 2,985
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
Measurement of Adults' Sedentary Time in Population-Based Studies
Healy, G. N., Clark, B. K., Winkler, E. A. H., Gardiner, P. A., Brown, W. J., & Matthews, C. E. (2011) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.05.005 · Cited by 628
Accelerometry and physical activity questionnaires - a systematic review
Skender, S., Ose, J., Chang-Claude, J., Paskow, M., Brühmann, B., Siegel, E. M., Steindorf, K., & Ulrich, C. M. (2016) · BMC Public Health · doi:10.1186/s12889-016-3172-0 · Cited by 449
Are loneliness and social isolation associated with cognitive decline?
Lara, E., Caballero, F. F., Rico‐Uribe, L. A., Olaya, B., Haro, J. M., Ayuso‐Mateos, J. L., & Miret, M. (2019) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5174 · Cited by 423
Dowd, K. P., Szeklicki, R., Minetto, M. A., Murphy, M. H., Polito, A., Ghigo, E., van der Ploeg, H., Ekelund, U., Maciaszek, J., Stemplewski, R., et al. (2018) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0636-2 · Cited by 385
Sallis, J. F., Adlakha, D., Oyeyemi, A., & Salvo, D. (2020) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2020.05.005 · Cited by 254
Indoor air pollution and blood pressure in adult women living in rural China
Baumgartner, J., Schauer, J. J., Ezzati, M., Lu, L., Cheng, C., Patz, J. A., & Bautista, L. E. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.1003371 · Cited by 254
Shifting the physical inactivity curve worldwide by closing the gender gap
Mielke, G. I., da Silva, I. C. M., Kolbe-Alexander, T. L., & Brown, W. J. (2018) · Sports Medicine · doi:10.1007/s40279-017-0754-7 · Cited by 164
Stubbs, B., Vancampfort, D., Firth, J., Schuch, F. B., Hallgren, M., Smith, L., Gardner, B., Kahl, K. G., Veronese, N., Solmi, M., et al. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.12.104 · Cited by 138
Martín‐María, N., Caballero, F. F., Lara, E., Domènech‐Abella, J., Haro, J. M., Olaya, B., Ayuso‐Mateos, J. L., & Miret, M. (2021) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5397 · Cited by 79
Predictors of discordance in self-report versus device-measured physical activity measurement
Gorzelitz, J., Peppard, P. E., Malecki, K., Gennuso, K., Nieto, F. J., & Cadmus-Bertram, L. (2018) · Annals of Epidemiology · doi:10.1016/j.annepidem.2018.03.016 · Cited by 57
Elbarbary, M., Honda, T., Morgan, G., Guo, Y., Guo, Y., Kowal, P., & Negin, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17093209 · Cited by 55
Charles, C., Bardet, A., Larive, A., Gorwood, P., Ramoz, N., Thomas, E., Viari, A., Rousseau-Tsangaris, M., Dumas, A., Menvielle, G., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.5118 · Cited by 50
Alghadir, A., Gabr, S., & Iqbal, Z. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17114143 · Cited by 43
Mediterranean diet and wellbeing: evidence from a nationwide survey
Moreno-Agostino, D., Caballero, F. F., Martín-María, N., Tyrovolas, S., López-García, P., Rodríguez-Artalejo, F., Haro, J. M., Ayuso-Mateos, J. L., & Miret, M. (2019) · Psychology & Health · doi:10.1080/08870446.2018.1525492 · Cited by 41
Alghafri, T. S., Alharthi, S. M., Al-Farsi, Y., Alrawahi, A. H., Bannerman, E., Craigie, A. M., & Anderson, A. S. (2018) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2018-000605 · Cited by 38
“min/ week) was estimated via face-to-face interviews using the Global Physical Activity Questionnaire (GPAQ).(29) GPAQ is a 13-item PA questionnaire where levels of PA ( MET.”
MethodStrain, T., Milton, K., Dall, P., Standage, M., & Mutrie, N. (2020) · British Journal of Sports Medicine · doi:10.1136/bjsports-2018-100355 · Cited by 36
Carstens, M. T., Goedecke, J. H., Dugas, L., Evans, J., Kroff, J., Levitt, N. S., & Lambert, E. V. (2013) · Nutrition & Metabolism · doi:10.1186/1743-7075-10-8 · Cited by 34
DASH diet and prevalent metabolic syndrome in the Hispanic Community Health Study/Study of Latinos
Joyce, B. T., Wu, D., Hou, L., Dai, Q., Castaneda, S. F., Gallo, L. C., Talavera, G. A., Sotres-Alvarez, D., Van Horn, L., Beasley, J. M., et al. (2019) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2019.100950 · Cited by 32
Meyer, J. D., Hayney, M. S., Coe, C. L., Ninos, C. L., & Barrett, B. P. (2019) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.2018-0214 · Cited by 29
MOTS-c modulates skeletal muscle function by directly binding and activating CK2
Kumagai, H., Kim, S.-J., Miller, B., Zempo, H., Tanisawa, K., Natsume, T., Lee, S. H., Wan, J., Leelaprachakul, N., Kumagai, M. E., et al. (2024) · iScience · doi:10.1016/j.isci.2024.111212 · Cited by 15
Seo, Y.-G., Lim, H., Kim, Y., Ju, Y.-S., Choi, Y.-J., Lee, H.-J., Jang, H. B., Park, S. I., & Park, K. H. (2021) · PLOS ONE · doi:10.1371/journal.pone.0245875 · Cited by 13
Metadata
- Authors
- Bull, F. C., Maslin, T. S., & Armstrong, T.
- Venue
- Journal of Physical Activity and Health
- Publisher
- Human Kinetics
- Published
- 2009-11
- Volume
- 6
- Issue
- 6
- Pages
- 790-804
- ISSN
- 1543-3080 (ISSN-L)
- 1543-5474
- OpenAlex
- W2111622203
- Cited by
- 1,777
- References
- 2
- FWCI
- 12.01
- 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.
