The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Changes of Physical Activity and Ultra-Processed Food Consumption in Adolescents from Different Countries during Covid-19 Pandemic: An Observational Study
Open accessAbstract
Aim: to describe physical activity and ultra-processed foods consumption, their changes and sociodemographic predictors among adolescents from countries in Europe (Italy and Spain) and Latin America (Brazil, Chile, and Colombia) during the SARS-CoV-2-pandemic period. Methods: Cross-sectional study via web survey. International Physical Activity Questionnaire (IPAQ) and weekly ultra-processed food consumption data were used. To compare the frequencies of physical activity status with sociodemographic variables, a multinomial logistic and a multiple logistic regression for habitual ultra-processed foods was performed. In final models, p < 0.05 was considered significant. Results: Sample of 726 adolescents, mostly females (59.6%) aged 16–19 years old (54.3%). Adolescents from Latin America presented odds ratio (OR) 2.98 (CI 95% 1.80–4.94) of being inactive and those whose mothers had higher level of education were less active during lockdown [OR 0.40 (CI 95% 0.20–0.84)]. The habitual ultra-processed consumption was also high during this period in all countries, and more prevalent in Latin America. Conclusion: A higher prevalence of inactivity was observed in this population, but reductions of physical activity and habitual ultra-processed consumption during the pandemic were more pronounced in Latin America. Our findings reinforce the importance of promoting a healthy lifestyle, i.e., exercise and diet, during periods of social isolation.
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Cites
International physical activity questionnaire: 12-country reliability and validity
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Global physical activity levels: surveillance progress, pitfalls, and prospects
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The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing
Monteiro, C. A., Cannon, G., Moubarac, J.-C., Levy, R. B., Louzada, M. L. C., & Jaime, P. C. (2018) · Public Health Nutrition · doi:10.1017/s1368980017000234 · Cited by 2,333
Adolescence and the social determinants of health
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Coronavirus disease (COVID-19) pandemic.
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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
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Ruiz-Roso, M. B., de Carvalho Padilha, P., Mantilla-Escalante, D. C., Ulloa, N., Brun, P., Acevedo-Correa, D., Arantes Ferreira Peres, W., Martorell, M., Aires, M. T., de Oliveira Cardoso, L., et al. (2020) · Nutrients · doi:10.3390/nu12061807 · Cited by 718
Self-citationWu, X. Y., Han, L. H., Zhang, J. H., Luo, S., Hu, J. W., & Sun, K. (2017) · PLOS ONE · doi:10.1371/journal.pone.0187668 · Cited by 664
Cited by
Physical Activity of Children and Adolescents during the COVID-19 Pandemic—A Scoping Review
Rossi, L., Behme, N., & Breuer, C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182111440 · Cited by 328
Vogel, M., Geserick, M., Gausche, R., Beger, C., Poulain, T., Meigen, C., Körner, A., Keller, E., Kiess, W., & Pfäffle, R. (2022) · International Journal of Obesity · doi:10.1038/s41366-021-00968-2 · Cited by 280
Chang, J.-J., Ji, Y., Li, Y.-H., Pan, H.-F., & Su, P.-Y. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.05.109 · Cited by 275
Stress, stress reduction and obesity in childhood and adolescence
Kappes, C., Stein, R., Körner, A., Merkenschlager, A., & Kiess, W. (2023) · Hormone Research in Paediatrics · doi:10.1159/000519284 · Cited by 51
Food Consumption and COVID-19 Risk Perception of University Students
Rodriguez-Besteiro, S., Valencia-Zapata, G., Beltrán de la Rosa, E., & Clemente-Suárez, V. J. (2022) · Sustainability · doi:10.3390/su14031625 · Cited by 19
“Some research has reported changes in food intake over the past year and observed unhealthy dietary patterns [43,44], such as increased consumption of snacks [17], consumption of high glycemic index foods [45], and increased intake of ultra-processed foods [46].”
Background
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- Authors
- Ruíz-Roso, M. B., de Carvalho Padilha, P., Matilla-Escalante, D. C., Brun, P., Ulloa, N., Acevedo-Correa, D., Arantes Ferreira Peres, W., Martorell, M., Rangel Bousquet Carrilho, T., de Oliveira Cardoso, L., Carrasco-Marín, F., Paternina-Sierra, K., Lopez de las Hazas, M.-C., Rodriguez-Meza, J. E., Villalba-Montero, L. F., Bernabè, G., Pauletto, A., Taci, X., Cárcamo-Regla, R., Martínez, J. A., & Dávalos, A.
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2020-07-30
- Volume
- 12
- Issue
- 8
- Pages
- 2289
- ISSN
- 2072-6643 (ISSN-L)
- OpenAlex
- W3046083367
- Cited by
- 304
- References
- 31
- FWCI
- 30.92
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Ruíz-Roso, M. B., de Carvalho Padilha, P., Matilla-Escalante, D. C., Brun, P., Ulloa, N., Acevedo-Correa, D., Arantes Ferreira Peres, W., Martorell, M., Rangel Bousquet Carrilho, T., de Oliveira Cardoso, L., Carrasco-Marín, F., Paternina-Sierra, K., Lopez de las Hazas, M.-C., Rodriguez-Meza, J. E., Villalba-Montero, L. F., Bernabè, G., Pauletto, A., Taci, X., Cárcamo-Regla, R., . . . Dávalos, A. (2020). Changes of Physical Activity and Ultra-Processed Food Consumption in Adolescents from Different Countries during Covid-19 Pandemic: An Observational Study. Nutrients. https://doi.org/10.3390/nu12082289
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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.
