The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Changes in lifestyle behaviours during the COVID‐19 confinement in Spanish children: A longitudinal analysis from the MUGI project
Open accessAbstract
Summary: Background: Home confinement during the COVID‐19 pandemic could have affected lifestyle behaviours of children, however evidence about it is emerging and yet scarce. Objectives: To examine the effects of the COVID‐19 confinement on lifestyle behaviours in Spanish children, and to assess the influence of social vulnerabilities on changes in lifestyle behaviours. Methods: Physical activity (PA), screen time, sleep time, adherence to the Mediterranean diet (KIDMED) and sociodemographic information were longitudinally assessed before (N = 291, 12.1 ± 2.4 years, 47.8% girls) and during the COVID‐19 confinement (N = 113, 12.0 ± 2.6 years, 48.7% girls) by online questionnaires. Results: During the COVID‐19 confinement, PA (−91 ± 55 min/d, P < .001) and screen time (±2.6 h/d, P < .001) worsened, whereas the KIDMED score improved (0.5 ± 2.2 points, P < .02). The decrease of PA was higher in children with mother of non‐Spanish origin (−1.8 ± 0.2 vs −1.5 ± 0.1 h/d, P < .04) or with non‐university studies (−1.7 ± 0.1 vs −1.3 ± 0.1 h/d, P < .005) in comparison to their counterparts. Conclusion: This study evidence the negative impact of the COVID‐19 confinement on PA levels and sedentary behaviours of Spanish children. These findings should be taken into account to design and implement public health strategies for preserving children´s health during and after the pandemic, particularly, in children with social vulnerabilities.
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
Physical activity and mental health in children and adolescents: a review of reviews
Biddle, S. J. H., & Asare, M. (2011) · British Journal of Sports Medicine · doi:10.1136/bjsports-2011-090185 · Cited by 2,447
Ammar, A., Brach, M., Trabelsi, K., Chtourou, H., Boukhris, O., Masmoudi, L., Bouaziz, B., Bentlage, E., How, D., Ahmed, M., et al. (2020) · Nutrients · doi:10.3390/nu12061583 · Cited by 2,073
Covid-19: risk factors for severe disease and death
Jordan, R. E., Adab, P., & Cheng, K. K. (2020) · BMJ · doi:10.1136/bmj.m1198 · Cited by 1,653 · cited 1×
“It is noteworthy that healthy lifestyles enhance the immune system,(15) reduce the risk for respiratory infections(16) and inflammation,(17) and are effective in the prevention of many chronic conditions that increase the risk of severe COVID-19 infection.(18) In addition, PA enhances the efficacy of vaccines,(19) and…”
BackgroundImpact of COVID-19 pandemic on children and adolescents’ lifestyle behavior larger than expected.
Xiang, M., Zhang, Z., & Kuwahara, K. (2020) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2020.04.013 · Cited by 847
The Impact of COVID-19 on Physical Activity Behavior and Well-Being of Canadians
Lesser, I. A., & Nienhuis, C. P. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17113899 · Cited by 783
Scarmozzino, F., & Visioli, F. (2020) · Foods · doi:10.3390/foods9050675 · Cited by 569
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
Pascoe, A. R., Fiatarone Singh, M. A., & Edwards, K. M. (2014) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2013.10.003 · Cited by 149
Hjorth, M. F., Chaput, J.-P., Michaelsen, K., Astrup, A., Tetens, I., & Sjödin, A. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-808 · Cited by 143
Cited by
Madigan, S., Eirich, R., Pador, P., McArthur, B. A., & Neville, R. D. (2022) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2022.4116 · Cited by 272
Chambonniere, C., Lambert, C., Fearnbach, N., Tardieu, M., Fillon, A., Genin, P., Larras, B., Melsens, P., Bois, J., Pereira, B., et al. (2021) · European Journal of Integrative Medicine · doi:10.1016/j.eujim.2021.101308 · Cited by 137
Watanabe, J. A., Nieto, J. A., Suarez-Diéguez, T., & Silva, M. (2024) · Nutrition · doi:10.1016/j.nut.2024.112354 · Cited by 35
Kamga Fogno, A. W., Rouquette, A., Gronfier, C., Bernard, J. Y., Plancoulaine, S., & SAPRIS study group (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14128 · Cited by 3
Metadata
- Authors
- Medrano, M., Cadenas‐Sanchez, C., Oses, M., Arenaza, L., Amasene, M., & Labayen, I.
- Venue
- Pediatric Obesity
- Publisher
- Wiley
- Published
- 2020-09-24
- Volume
- 16
- Issue
- 4
- Pages
- e12731-e12731
- ISSN
- 2047-6302 (ISSN-L)
- 2047-6310
- OpenAlex
- W3088433687
- Cited by
- 265
- References
- 9
- FWCI
- 26.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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.