The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Physical Activity Levels and Related Energy Expenditure during COVID-19 Quarantine among the Sicilian Active Population: A Cross-Sectional Online Survey Study
Open accessAbstract
Background: During the coronavirus disease 2019 (COVID-19) pandemic, the Italian government has adopted containment measures to control the virus’s spread, including limitations to the practice of physical activity (PA). The aim of this study was to estimate the levels of PA, expressed as energy expenditure (MET–minute/week), among the physically active Sicilian population before and during the last seven days of the COVID-19 quarantine. Furthermore, the relation between this parameter and specific demographic and anthropometric variables was analyzed. Methods: 802 Sicilian physically active participants (mean age: 32.27 ± 12.81 years; BMI: 23.44 ± 3.33 kg/m2) were included in the study and grouped based on gender, age and BMI. An adapted version of the International Physical Activity Questionnaire—short form (IPAQ-SF) was administered to the participants through an online survey. The Wilcoxon signed-rank test and the Kruskal-Wallis rank-sum test were used for statistical analyses. Results: As expected, we observed a significant decrease of the total weekly energy expenditure during the COVID-19 quarantine (p < 0.001). A significant variation in the MET–min/wk in the before quarantine condition (p = 0.046) and in the difference between before and during quarantine (p = 0.009) was found for males and females. The male group decreased the PA level more than the female one. Moreover, a significant difference in the MET–min/wk was found among groups distributions of BMI (p < 0.001, during quarantine) and of age (p < 0.001, both before and during quarantine). In particular, the highest and the lowest levels of PA were reported by the young and the elderly, respectively, both before and during quarantine. Finally, the overweight group showed the lowest level of PA during quarantine. Conclusion: Based on our outcomes, we can determine that the current quarantine has negatively affected the practice of PA, with greater impacts among males and overweight subjects. In regards to different age groups, the young, young adults and adults were more affected than senior adults and the elderly.
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Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17051729 · Cited by 9,923
Lee, I.-M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., & Katzmarzyk, P. T. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61031-9 · Cited by 8,215
2011 Compendium of Physical Activities: A Second Update of Codes and MET Values
AINSWORTH, B. E., HASKELL, W. L., HERRMANN, S. D., MECKES, N., BASSETT, D. R., TUDOR-LOCKE, C., GREER, J. L., VEZINA, J., WHITT-GLOVER, M. C., & LEON, A. S. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31821ece12 · Cited by 6,317
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
Guo (2020) · doi:10.1186/s40779-020-00240-0 · Cited by 4,735
Compendium of Physical Activities: Classification of energy costs of human physical activities
AINSWORTH, B. E., HASKELL, W. L., LEON, A. S., JACOBS, D. R., MONTOYE, H. J., SALLIS, J. F., & PAFFENBARGER, R. S. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199301000-00011 · Cited by 4,102
Lee, P. H., Macfarlane, D. J., Lam, T., & Stewart, S. M. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-115 · Cited by 3,370
Physical activity in older age: perspectives for healthy ageing and frailty
McPhee, J. S., French, D. P., Jackson, D., Nazroo, J., Pendleton, N., & Degens, H. (2016) · Biogerontology · doi:10.1007/s10522-016-9641-0 · Cited by 1,369
Rodriguez-Ayllon, M., Cadenas-Sánchez, C., Estévez-López, F., Muñoz, N. E., Mora-Gonzalez, J., Migueles, J. H., Molina-García, P., Henriksson, H., Mena-Molina, A., Martínez-Vizcaíno, V., et al. (2019) · Sports Medicine · doi:10.1007/s40279-019-01099-5 · Cited by 1,360
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
Cited by
The impact of physical activity on psychological health during Covid-19 pandemic in Italy
Maugeri, G., Castrogiovanni, P., Battaglia, G., Pippi, R., D'Agata, V., Palma, A., Di Rosa, M., & Musumeci, G. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e04315 · Cited by 870
Self-citationChew, H. S. J., & Lopez, V. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041876 · Cited by 114
“[18,20] Instruments to estimate physical activity were mostly self-reports of, which only five studies used structured questionnaires, namely eating habits and lifestyle (EHLC)-COVID19 questionnaire [2], exercise comparison orientation measure [5], international physical activity questionnaire-short form (IPAQ-SF) [20…”
BackgroundInfluentialBattaglia, G., Giustino, V., Tabacchi, G., Alesi, M., Galassi, C., Modica, C., Palma, A., & Bellafiore, M. (2020) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2020.579421 · Cited by 27
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Metadata
- Authors
- Giustino, V., Parroco, A. M., Gennaro, A., Musumeci, G., Palma, A., & Battaglia, G.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2020-05-26
- Volume
- 12
- Issue
- 11
- Pages
- 4356
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3031608610
- Cited by
- 197
- References
- 15
- FWCI
- 21.37
- Type
- journal article
- Language
- en
- Open access
- gold
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