The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Exercising in Times of Lockdown: An Analysis of the Impact of COVID-19 on Levels and Patterns of Exercise among Adults in Belgium
Open accessAbstract
Countries all over the world implemented lockdowns to counteract COVID-19. These lockdowns heavily limited people’s exercise possibilities. At the same time, experts advocated to remain physically active to prevent future health problems. Based on an online survey, this study examines adults’ exercise levels and patterns during the COVID-19 lockdown in Belgium. Ordinal logistic regression analyses of 13,515 valid and population-weighted responses indicate a general increase in exercise frequencies, as well as in sedentary behavior. Except for people aged 55+, previously low active adults self-reported to exercise more during the lockdown. Among the people who were already high active before COVID-19, those above 55 years old, those with low education, those used to exercise with friends or in a sport club, and those who were not using online tools to exercise, self-reported to exercise less during the lockdown. Having less time, sitting more, and missing the familiar way and competitive element of exercising were the main reasons for a self-reported exercise reduction. Given the health risks associated with physical inactivity, results imply that governments should consider how those who were not reached can be encouraged to exercise during a lockdown. After all, additional COVID-19 lockdowns might be implemented in the future.
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
Zhang, Y., & Ma, Z. F. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17072381 · Cited by 1,477
Kwasnicka, D., Dombrowski, S. U., White, M., & Sniehotta, F. (2016) · Health Psychology Review · doi:10.1080/17437199.2016.1151372 · Cited by 1,476
Chen, P., Mao, L., Nassis, G. P., Harmer, P., Ainsworth, B. E., & Li, F. (2020) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2020.02.001 · Cited by 1,248
Apps to promote physical activity among adults: a review and content analysis
Middelweerd, A., Mollee, J. S., van der Wal, C. N., Brug, J., & te Velde, S. J. (2014) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-014-0097-9 · Cited by 546
Cited by
Trott, M., Driscoll, R., Iraldo, E., & Pardhan, S. (2022) · eClinicalMedicine · doi:10.1016/j.eclinm.2022.101452 · Cited by 266
Exploring perceived stress among students in Turkey during the COVID-19 pandemic
Aslan, I., Ochnik, D., & Çınar, O. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17238961 · Cited by 255
Chew, H. S. J., & Lopez, V. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041876 · Cited by 114
“2 Constandt 2020 [17] Belgium Cross-sectional descriptive 30 March–5 April 2020 To examine adults’ exercise levels and patterns during the COVID-19 lockdown.”
BackgroundInfluentialStrain, T., Sharp, S. J., Spiers, A., Price, H., Williams, C., Fraser, C., Brage, S., Wijndaele, K., & Kelly, P. (2022) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2021.100265 · Cited by 87
The impact of COVID‐19 on school‐age children
Stone, G., Witzig, T., & McIntosh, C. (2023) · Psychology in the Schools · doi:10.1002/pits.22831 · Cited by 12
Metadata
- Authors
- Constandt, B., Thibaut, E., De Bosscher, V., Scheerder, J., Ricour, M., & Willem, A.
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2020-06-10
- Volume
- 17
- Issue
- 11
- Pages
- 4144
- ISSN
- 1660-4601 (ISSN-L)
- OpenAlex
- W3033952763
- Cited by
- 404
- References
- 4
- FWCI
- 44.50
- 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
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.
