COVID-19 Pandemic and Remote Education Contributes to Improved Nutritional Behaviors and Increased Screen Time in a Polish Population-Based Sample of Primary School Adolescents: Diet and Activity of Youth during COVID-19 (DAY-19) Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Studied Population
2.2. Applied Questionnaire
2.3. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Inchley, J.; Currie, D.; Jewell, J.; Breda, J.; Barnekow, V. Adolescent Obesity and Related Behaviours: Trends and Inequalities in the WHO European Region, 2002–2014; World Health Organization: Copenhagen, Denmark, 2017. [Google Scholar]
- Brodin, P. Why is COVID-19 so mild in children? Acta Paediatr. 2020, 109, 1082–1083. [Google Scholar] [CrossRef]
- Zimmermann, P.; Curtis, N. Coronavirus infections in children including COVID-19: An overview of the epidemiology, clinical features, diagnosis, treatment and prevention options in children. Pediatr. Infect. Dis. J. 2020, 39, 355–368. [Google Scholar] [CrossRef]
- She, J.; Liu, L.; Liu, W. COVID-19 epidemic: Disease characteristics in children. J. Med. Virol. 2020, 92, 747–754. [Google Scholar] [CrossRef] [PubMed]
- Dhochak, N.; Singhal, T.; Kabra, S.K.; Lodha, R. Pathophysiology of COVID-19: Why children fare better than adults? Indian J. Pediatr. 2020, 87, 537–546. [Google Scholar] [CrossRef] [PubMed]
- Haleem, A.; Javaid, M.; Vaishya, R. Effects of COVID 19 pandemic in daily life. Curr. Med. Res. Pract. 2020, 10, 78–79. [Google Scholar] [CrossRef] [PubMed]
- Naja, F.; Hamadeh, R. Nutrition amid the COVID-19 pandemic: A multi-level framework for action. Eur. J. Clin. Nutr. 2020, 74, 1117–1121. [Google Scholar] [CrossRef] [Green Version]
- Jribi, S.; Ben Ismail, H.; Doggui, D.; Debbabi, H. COVID-19 virus outbreak lockdown: What impacts on household food wastage? Environ. Dev. Sustain. 2020, 19, 1–17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Deschasaux-Tanguy, M.; Druesne-Pecollo, N.; Esseddik, Y.; Szabo de Edelenyi, F.; Allès, B.; Andreeva, V.A.; Baudry, J.; Charreire, H.; Deschamps, V.; Egnell, M.; et al. Diet and physical activity during the COVID-19 lockdown period (March-May 2020): Results from the French NutriNet-Sante cohort study. BMJ 2020. [Google Scholar] [CrossRef]
- Srivastav, A.K.; Sharma, N.; Samuel, A.J. Impact of coronavirus disease-19 (COVID-19) lockdown on physical activity and energy expenditure among physiotherapy professionals and students using web-based open E-survey sent through WhatsApp, Facebook and Instagram messengers. Clin. Epidemiol. Glob. Health 2020. [Google Scholar] [CrossRef]
- Mattioli, A.V.; Pinti, M.; Farinetti, A.; Nasi, M. Obesity risk during collective quarantine for the COVID-19 epidemic. Obes. Med. 2020, 100263. [Google Scholar] [CrossRef]
- Moore, S.A.; Faulkner, G.; Rhodes, R.E.; Brussoni, M.; Chulak-Bozzer, T.; Ferguson, L.J.; Mitra, R.; O’Reilly, N.; Spence, J.C.; Vanderloo, L.M.; et al. Impact of the COVID-19 virus outbreak on movement and play behaviours of Canadian children and youth: A national survey. Int. J. Behav. Nutr. Phys. Act. 2020, 17, 85. [Google Scholar] [CrossRef] [PubMed]
- Xiang, M.; Zhang, Z.; Kuwahara, K. Impact of COVID-19 pandemic on children and adolescents’ lifestyle behavior larger than expected. Prog. Cardiovasc. Dis. 2020, 63, 531–532. [Google Scholar] [CrossRef]
- Jia, P.; Liu, L.; Xie, X.; Yuan, C.; Chen, H.; Guo, B.; Zhou, J.; Yang, S. Changes in dietary patterns among youths in China during COVID-19 epidemic: The COVID-19 impact on lifestyle change survey (COINLICS). Appetite 2021, 158, 105015. [Google Scholar] [CrossRef] [PubMed]
- Pietrobelli, A.; Pecoraro, L.; Ferruzzi, A.; Heo, M.; Faith, M.; Zoller, T.; Antoniazzi, F.; Piacentini, G.; Fearnbach, S.N.; Heymsfield, S.B. Effects of COVID-19 lockdown on lifestyle behaviors in children with obesity living in Verona, Italy: A longitudinal study. Obesity 2020. [Google Scholar] [CrossRef]
- Baysun, Ş.; Akar, M.N. Weight gain in children during the Covid-19 quarantine period. J. Paediatr. Child. Health 2020, 56, 1487–1488. [Google Scholar] [CrossRef]
- Głąbska, D.; Skolmowska, D.; Guzek, D. Population-Based Study of the Changes in the Food Choice Determinants of Secondary School Students: Polish Adolescents’ COVID-19 Experience (PLACE-19) Study. Nutrients 2020, 12, 2640. [Google Scholar] [CrossRef] [PubMed]
- Guzek, D.; Skolmowska, D.; Głąbska, D. Appetitive traits in a population-based study of Polish adolescents within the PLACE-19 Study: Validation of the Adult Eating Behavior Questionnaire. Nutrients 2020, 12, 3889. [Google Scholar] [CrossRef]
- Jansen, E.; Thapaliya, G.; Aghababian, A.; Sadler, J.; Smith, K.; Carnell, S. Parental stress, food parenting practices and child snack intake during the COVID-19 pandemic. Appetite 2021, 161, 105119. [Google Scholar] [CrossRef]
- Sidor, A.; Rzymski, P. Dietary choices and habits during COVID-19 lockdown: Experience from Poland. Nutrients 2020, 12, 1657. [Google Scholar] [CrossRef]
- Błaszczyk-Bębenek, E.; Jagielski, P.; Bolesławska, I.; Jagielska, A.; Nitsch-Osuch, A.; Kawalec, P. Nutrition behaviors in Polish adults before and during COVID-19 lockdown. Nutrients 2020, 12, 3084. [Google Scholar] [CrossRef]
- Kowalczuk, I.; Gębski, J. Impact of fear of contracting COVID-19 and complying with the rules of isolation on nutritional behaviors of Polish adults. Int. J. Environ. Res. Public Health 2021, 18, 1631. [Google Scholar] [CrossRef] [PubMed]
- Drywień, M.E.; Hamułka, J.; Zielińska-Pukos, M.A.; Jeruszka-Bielak, M.; Górnicka, M. The COVID-19 pandemic lockdowns and changes in body weight among Polish women. A Cross-Sectional Online Survey PLifeCOVID-19 Study. Sustainability 2020, 12, 7768. [Google Scholar] [CrossRef]
- Górnicka, M.; Drywień, M.E.; Zielinska, M.A.; Hamułka, J. Dietary and lifestyle changes during COVID-19 and the subsequent lockdowns among Polish adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study. Nutrients 2020, 12, 2324. [Google Scholar] [CrossRef]
- World Health Organization. Global Strategy on Diet, Physical Activity and Health. Available online: https://www.who.int/dietphysicalactivity/childhood_diet/en/ (accessed on 10 April 2021).
- World Health Organization. Global Recommendations on Physical Activity for Health 5–17 Years Old. Available online: https://www.who.int/dietphysicalactivity/publications/recommendations5_17years/en/ (accessed on 10 April 2021).
- Wojtyła-Buciora, P.; Stawińśka-Witoszyńska, B.; Klimberg, A.; Wojtyła, A.; Goździewska, M.; Wojtyła, K.; Piątek, J.; Wojtyła, C.; Sygit, M.; Ignyś, I.; et al. Nutrition-related health behaviours and prevalence of overweight and obesity among Polish children and adolescents. Ann. Agric. Environ. Med. 2013, 20, 332–340. [Google Scholar]
- Galczak-Kondraciuk, A.; Stempel, P.; Czeczelewski, J. Assessment of nutritional behaviours of children aged 7–12 attending to primary schools in Biala Podlaska, Poland. Rocz. Panstw. Zakl. Hig. 2018, 69, 71–77. [Google Scholar] [PubMed]
- Zalewska, M.; Maciorkowska, E. Selected nutritional habits of teenagers associated with overweight and obesity. PeerJ 2017, 5, e3681. [Google Scholar] [CrossRef] [Green Version]
- Sawicka, K.; Wawryniuk, A.; Łuczyk, R.; Krzyżanowska, E.; Szubiela, N.; Łuczyk, M.; Daniluk, J. Assessment of the state of nutritionality and method of food of children of furnishing to basic and gynal schools. J. Educ. Health Sport 2017, 7, 510–528. [Google Scholar] [CrossRef]
- Wądołowska, L.; Kowalkowska, J.; Lonnie, M.; Czarnocińska, J.; Jeżewska-Zychowicz, M.; Babicz-Zielińska, E. Associations between physical activity patterns and dietary patterns in a representative sample of Polish girls aged 13–21 years: A cross-sectional study (GEBaHealth Project). BMC Public Health 2016, 16, 698. [Google Scholar] [CrossRef] [Green Version]
- Bergier, J.; Kapka-Skrzypczak, L.; Biliński, P.; Paprzycki, P.; Wojtyła, A. Physical activity of Polish adolescents and young adults according to IPAQ: A population based study. Ann. Agric. Environ. Med. 2012, 19, 109–115. [Google Scholar]
- Guzek, D.; Skolmowska, D.; Głąbska, D. Analysis of gender-dependent personal protective behaviors in a national sample: Polish Adolescents’ COVID-19 Experience (PLACE-19) Study. Int. J. Environ. Res. Public Health 2020, 17, 5770. [Google Scholar] [CrossRef]
- Skolmowska, D.; Głąbska, D.; Guzek, D. Hand hygiene behaviors in a representative sample of Polish adolescents in regions stratified by COVID-19 morbidity and by confounding variables (PLACE-19 Study): Is there any association? Pathogens 2020, 9, 1011. [Google Scholar] [CrossRef] [PubMed]
- Bashour, H.N. Survey of dietary habits of in-school adolescents in Damascus, Syrian Arab Republic. EMHJ East. Mediterr. Health J. 2004, 10, 853–862. [Google Scholar] [PubMed]
- World Health Organization. Adolescent Health in the South-East Asia Region. Available online: https://www.who.int/southeastasia/health-topics/adolescent-health (accessed on 10 April 2021).
- The Central Statistical Office in Poland. Available online: https://bdl.stat.gov.pl/BDL/dane/podgrup/temat (accessed on 10 June 2020).
- The Central Statistical Office in Poland. Available online: https://demografia.stat.gov.pl/BazaDemografia/StartIntro.aspx (accessed on 10 June 2020).
- Polish Ministry of National Education. Available online: https://rspo.mein.gov.pl/ (accessed on 10 June 2020).
- Polish Ministry of National Education. Suspension of Classes in Schools. Available online: https://www.gov.pl/web/edukacja/zawieszenie-zajec-w-szkolach (accessed on 10 June 2020).
- Ordinance of the Council of Ministers from 15 April 2020. Amending the Regulation Laying Down Certain Restrictions, Orders and Prohibitions in a Relations to the Occurrence of a Pandemic Outbreak Condition. Available online: https://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20200000673 (accessed on 10 June 2020).
- Flood, V.; Gwynn, J.; Gifford, J.; Tuner, N.; Hardy, L. Evidence on Existing, Validated Short-Form Survey Instruments for Children’s Diet, Physical Activity, and Sedentary Behaviour: An Evidence Check Review Brokered by the Sax Institute for the NSW Ministry of Health. 2016. Available online: www.saxinstitute.org.au (accessed on 10 June 2020).
- World Health Organization (WHO). Process of Translation and Adaptation of Instruments. Available online: https://www.coursehero.com/file/30372721/WHO-Process-of-translation-and-adaptation-of-instrumentspdf/ (accessed on 19 September 2020).
- Cade, J.; Thompson, R.; Burley, V.; Warm, D. Development, validation and utilisation of food-frequency questionnaires—A review. Public Health Nutr. 2002, 5, 567–587. [Google Scholar] [CrossRef] [Green Version]
- World Health Organization. Survey Tool and Guidance. Rapid, Simple, Flexible Behavioural Insights on COVID-19. Available online: https://www.euro.who.int/__data/assets/pdf_file/0007/436705/COVID-19-survey-tool-and-guidance.pdf (accessed on 10 April 2021).
- Hu, L.; Bentler, P.M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Modeling 1999, 6, 1–55. [Google Scholar] [CrossRef]
- Browne, M.W. An overview of analytic rotation in exploratory factor analysis. Multivar. Behav. Res. 2001, 36, 111–150. [Google Scholar] [CrossRef]
- Dietary Assessment: A Resource Guide to Method Selection and Application in Low Resource Settings; FAO: Rome, Italy, 2018; Available online: http://www.fao.org/3/i9940en/I9940EN.pdf (accessed on 10 April 2021).
- Agudo, A. Measuring Intake of Fruit and Vegetables; World Health Organization: Kobe, Japan, 2004. [Google Scholar]
- Ministry of Health. Food and Nutrition Guidelines for Healthy Adults: A Background Paper; Ministry of Health: Wellington, New Zealand, 2003.
- Department of Agriculture, US Department of Health and Human Services. Nutrition and Your Health: Dietary Guidelines for Americans 2000; Department of Agriculture, US Department of Health and Human Services: Washington, DC, USA, 2000.
- Swiss Association for Nutrition. Nutritional Recommendations: How to Eat a Healthy Diet; Swiss Association for Nutrition: Bern, Switzerland, 1999. [Google Scholar]
- Hardy, L.L.; Bell, J.; Bauman, A.; Mihrshahi, S. Association between adolescents’ consumption of total and different types of sugar-sweetened beverages with oral health impacts and weight status. Aust. N. Z. J. Public Health 2018, 42, 22–26. [Google Scholar] [CrossRef] [Green Version]
- Park, S.; Sherry, B.; O’Toole, T.; Huang, Y. Factors associated with low drinking water intake among adolescents: The Florida Youth Physical Activity and Nutrition Survey, 2007. J. Am. Diet. Assoc. 2011, 111, 1211–1217. [Google Scholar] [CrossRef]
- Nkosi, V.; Rathogwa-Takalani, F.; Voyi, K. The frequency of fast food consumption in relation to wheeze and asthma among adolescents in Gauteng and North West Provinces, South Africa. Int. J. Environ. Res. Public Health 2020, 17, 1994. [Google Scholar] [CrossRef] [Green Version]
- Rey-Lopez, J.P.; Vicente-Rodrıguez, G.; Judith Repasy, J.; Mesana, M.I.; Ruiz, J.R.; Ortega, F.B.; Kafatos, A.; Huybrechts, I.; Cuenca-Garcıa, M.; Leon, J.F.; et al. Food and drink intake during television viewing in adolescents: The Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study. Public Health Nutr. 2011, 14, 1563–1569. [Google Scholar] [CrossRef] [Green Version]
- Prochaska, J.J.; Sallis, J.F.; Long, B. A physical activity screening measure for use with adolescents in primary care. Arch. Pediatr. Adolesc. Med. 2001, 155, 554–559. [Google Scholar] [CrossRef]
- World Health Organization (WHO). Global Recommendations on Physical Activity for Health. Available online: https://www.who.int/publications/i/item/9789241599979 (accessed on 19 September 2020).
- Cao, H.; Qian, Q.; Weng, T.; Yuan, C.; Sun, Y.; Wang, H.; Tao, F. Screen time, physical activity and mental health among urban adolescents in China. Prev. Med. 2011, 53, 316–320. [Google Scholar] [CrossRef] [PubMed]
- Morin, C.; Gandy, J.; Brazeilles, R.; Moreno, L.A.; Kavouras, S.A.; Martinez, H.; Salas-Salvadó, J.; Bottin, J.; Guelinck, I. Fluid intake patterns of children and adolescents: Results of six Liq.In7 national cross-sectional surveys. Eur. J. Nutr. 2018, 57, S113–S123. [Google Scholar] [CrossRef] [Green Version]
- Children, Adolescents, and Television. Committee on Public Education. Pediatrics 2001, 107, 423–426. [Google Scholar] [CrossRef] [Green Version]
- Tremblay, M.S.; LeBlanc, A.G.; Kho, M.E.; Saunders, T.J.; Larouche, R.; Colley, R.C.; Goldfield, G.; Gorber, S.C. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 98. [Google Scholar] [CrossRef] [Green Version]
- Rocznik Demograficzny. 2020. Available online: https://stat.gov.pl/obszary-tematyczne/roczniki-statystyczne/roczniki-statystyczne/rocznik-demograficzny-2020,3,14.html (accessed on 10 June 2020).
- Kamyari, N.; Soltanian, A.R.; Mahjub, H.; Moghimbeigi, A. Diet, nutrition, obesity, and their implications for COVID-19 mortality: Development of a marginalized two-part model for semicontinuous data. JMIR Public Health Surveill. 2021, 7, e22717. [Google Scholar] [CrossRef] [PubMed]
- Polish Government. Available online: https://www.gov.pl/web/koronawirus/wykaz-zarazen-koronawirusem-sars-cov-2 (accessed on 10 June 2020).
- Dwyer, M.J.; Pasini, M.; De Dominicis, S.; Righi, E. Physical activity: Benefits and challenges during the COVID-19 pandemic. Scand. J. Med. Sci. Sports 2020, 30, 1291–1294. [Google Scholar] [CrossRef]
- US Department of Agriculture. 2019. Definitions of Food Security. Available online: https://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/definitions-of-food-security.aspx (accessed on 10 June 2020).
- Mayasari, N.R.; Ho, D.K.N.; Lundy, D.J.; Skalny, A.V.; Tinkov, A.A.; Teng, I.C.; Wu, M.C.; Faradina, A.; Mohammed, A.Z.M.M.; Park, J.M.; et al. Impacts of the COVID-19 pandemic on food security and diet-related lifestyle behaviors: An analytical study of google trends-based query volumes. Nutrients 2020, 12, 3103. [Google Scholar] [CrossRef] [PubMed]
- Di Renzo, L.; Gualtieri, P.; Pivari, F.; Soldati, L.; Attina, A.; Cinelli, G.; Leggeri, C.; Caparello, G.; Barrea, L.; Scerbo, F.; et al. Eating habits and lifestyle changes during COVID-19 lockdown: An Italian survey. J. Transl. Med. 2020, 18, 229. [Google Scholar] [CrossRef] [PubMed]
- Martin, A.; Markhvida, M.; Hallegatte, S.; Walsh, B. Socio-economic impacts of COVID-19 on household consumption and poverty. Econ. Disaster Clim. Chang. 2020, 1–27. [Google Scholar] [CrossRef]
- Richards, T.J.; Rickard, B. COVID-19 impact on fruit and vegetable markets. Cand. J. Agr. Econ. 2020, 68, 189–194. [Google Scholar] [CrossRef]
- Dou, Z.; Stefanovski, D.; Galligan, D.; Lindem, M.; Rozin, P.; Chen, T.; Chao, A.M. The COVID-19 pandemic impacting household food dynamics: A cross-national comparison of China and the U.S. SocArXiv 2020, 1–20. [Google Scholar] [CrossRef]
- De Faria Coelho-Ravagnani, C.; Corgosinho, F.C.; Sanches, F.F.Z.; Prado, C.M.M.; Laviano, A.; Mota, J.F. Dietary recommendations during the COVID-19 pandemic. Nutr. Rev. 2020, nuaa067. [Google Scholar] [CrossRef]
- Ruiz-Roso, M.B.; Knott-Torcal, C.; Matilla-Escalante, D.C.; Garcimartín, A.; Sampedro-Nuñez, M.A.; Dávalos, A.; Marazuela, M. COVID-19 lockdown and changes of the dietary pattern and physical activity habits in a cohort of patients with type 2 diabetes mellitus. Nutrients 2020, 12, 2327. [Google Scholar] [CrossRef] [PubMed]
- Laguna, L.; Fiszman, S.; Puerta, P.; Chaya, C.; Tárrega, A. The impact of COVID-19 lockdown on food priorities. Results from a preliminary study using social media and an online survey with Spanish consumers. Food Qual. Prefer. 2020, 86, 104028. [Google Scholar] [CrossRef]
- Eftimov, T.; Popovski, G.; Petković, M.; Seljak, B.K.; Kocev, D. COVID-19 pandemic changes the food consumption patterns. Trends Food Sci. Technol. 2020, 104, 268–272. [Google Scholar] [CrossRef] [PubMed]
- Patel, A.I.; Hampton, K.E. Encouraging consumption of water in school and child care settings: Access, challenges, and strategies for improvement. Am. J. Public Health 2011, 101, 1370–1379. [Google Scholar] [CrossRef]
- Lahlou, S.; Boesen-Mariani, S.; Franks, B.; Guelinckx, I. Increasing water intake of children and parents in the family setting: A randomized, controlled intervention using installation theory. Ann. Nutr. Metab. 2015, 66 (Suppl. 3), 26–30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Franks, B.; Lahlou, S.; Bottin, J.H.; Guelinckx, I.; Boesen-Mariani, S. Increasing water intake in pre-school children with unhealthy drinking habits: A year-long controlled longitudinal field experiment assessing the impact of information, water affordance, and social regulation. Appetite 2017, 116, 205–214. [Google Scholar] [CrossRef]
- Mediouni, M.; Madiouni, R.; Kaczor-Urbanowicz, K.E. COVID-19: How the quarantine could lead to the depreobesity. Obes. Med. 2020, 19, 100255. [Google Scholar] [CrossRef]
- Hagger, M.S.; Keech, J.J.; Hamilton, K. Managing stress during the coronavirus disease 2019 pandemic and beyond: Reappraisal and mindset approaches. Stress Health 2020, 36, 396–401. [Google Scholar] [CrossRef]
- Armstrong, L.E.; Johnson, E.C. Water intake, water balance, and the elusive daily water requirement. Nutrients 2018, 10, 1928. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Stookey, J.D.; Allu, P.K.R.; Chabas, D.; Pearce, D.; Lang, F. Hypotheses about sub-optimal hydration in the weeks before coronavirus disease (COVID-19) as a risk factor for dying from COVID-19. Med. Hypotheses 2020, 144, 110237. [Google Scholar] [CrossRef]
- Abbas, A.M.; Kamel, M.M. Dietary habits in adults during quarantine in the context of COVID-19 pandemic. Obes. Med. 2020, 19, 100254. [Google Scholar] [CrossRef] [PubMed]
- Głąbska, D.; Guzek, D.; Groele, B.; Gutkowska, K. Fruit and vegetable intake and mental health in adults: A systematic review. Nutrients 2020, 12, 115. [Google Scholar] [CrossRef] [Green Version]
- Haghighatdoost, F.; Feizi, A.; Esmaillzadeh, A.; Rashidi-Pourfard, N.; Keshteli, H.A.; Roohafza, H.; Adibi, P. Drinking plain water is associated with decreased risk of depression and anxiety in adults: Results from a large cross-sectional study. World J. Psychiatry 2018, 8, 88–96. [Google Scholar] [CrossRef]
- Dunton, G.G.; Do, B.; Wang, S.D. Early effects of the COVID-19 pandemic on physical activity and sedentary behavior in children living in the U.S. BMC Public Health 2020, 20, 1351. [Google Scholar] [CrossRef] [PubMed]
- Margaritis, I.; Houdart, S.; El Ouadrhiri, Y.; Bigard, X.; Vuillemin, A.; Duché, P. How to deal with COVID-19 epidemic-related lockdown physical inactivity and sedentary increase in youth? Adaptation of Anses’ benchmarks. Arch. Public Health 2020, 78, 52. [Google Scholar] [CrossRef] [PubMed]
- Guthold, R.; Stevens, G.A.; Riley, L.M.; Bull, F.C. Global trends in insufficient physical activity among adolescents: A pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet 2020, 4, 23–35. [Google Scholar] [CrossRef]
- Zheng, C.; Huang, W.Y.; Sheridan, S.; Sit, C.H.; Chen, X.K.; Wong, S.H. COVID-19 pandemic brings a sedentary lifestyle in young adults: A cross-sectional and longitudinal study. Int. J. Environ. Res. Public Health 2020, 17, 6035. [Google Scholar] [CrossRef]
- Chen, P.; Mao, L.; Nassis, G.P.; Harmer, P.; Ainsworth, B.E.; Li, F. Returning Chinese school-aged children and adolescents to physical activity in the wake of COVID-19: Actions and precautions. J. Sport Health Sci. 2020, 9, 322–324. [Google Scholar] [CrossRef]
- Mitchell, J.A.; Buyn, W. Sedentary behavior and health outcomes in children and adolescents. Am. J. Lifestyle Med. 2013, 8, 173–199. [Google Scholar] [CrossRef]
- Nuru, H.; Piaseu, N.; Palutturi, S.; Rasdin, Z.; Mustamin, R.; Mamang, F. Does television viewing make children obese? A review. Int. J. Res. Med. Sci. 2016, 4, 343–348. [Google Scholar] [CrossRef] [Green Version]
- Yang, S.; Guo, B.; Ao, L.; Yang, C.; Zhang, L.; Zhou, J.; Jia, P. Obesity and activity patterns before and during COVID-19 lockdown among youths in China. Clin. Obes. 2020, 10, e12416. [Google Scholar] [CrossRef]
- Li, C.; Cheng, G.; Sha, T.; Cheng, W.; Yan, Y. The Relationships between screen use and health indicators among infants, toddlers, and preschoolers: A meta-analysis and systematic review. Int. J. Environ. Res. Public Health. 2020, 17, 7324. [Google Scholar] [CrossRef]
- Sharma, B.; Chavez, R.C.; Jeong, A.S.; Nam, E.W. Television viewing and its association with sedentary behaviors, self-rated heath and academic performance among secondary school students in Peru. Int. J. Environ. Res. Public Health. 2017, 14, 383. [Google Scholar] [CrossRef] [PubMed]
Parameter | Adolescents Stratified by COVID-19 Morbidity for the Voivodeship | Total | ||||
---|---|---|---|---|---|---|
<40/ 100,000 | 40–80/ 100,000 | 80–160/ 100,000 | >160/ 100,000 | |||
Total number of adolescents | 413 | 537 | 209 | 175 | 1334 | |
Gender | Girls | 240 | 264 | 116 | 91 | 711 |
Boys | 173 | 273 | 93 | 84 | 623 | |
Age (years) | 10–11 | 42 | 51 | 13 | 14 | 120 |
11–12 | 90 | 133 | 41 | 50 | 314 | |
12–13 | 95 | 125 | 38 | 36 | 294 | |
13–14 | 89 | 115 | 52 | 33 | 289 | |
14–15 | 75 | 68 | 42 | 27 | 212 | |
15–16 | 22 | 45 | 23 | 15 | 105 |
Assessed Consumption | Portions per Day | before COVID-19 | during Remote Education Due to COVID-19 | p-Value |
---|---|---|---|---|
Fruit consumption | 0–1 | 597 (44.7%) | 485 (36.4%) | <0.0001 |
2 | 484 (36.3%) | 483 (36.2%) | ||
≥3 | 253 (19.0%) | 366 (27.4%) | ||
Vegetable consumption | 0-2 | 1074 (80.5%) | 992 (74.4%) | 0.0004 |
3 | 159 (11.9%) | 194 (14.5%) | ||
≥4 | 101 (7.5%) | 148 (11.1%) |
Assessed Consumption | Portions | before COVID-19 | during Remote Education Due to COVID-19 | p-Value |
---|---|---|---|---|
Soft drinks consumption | ≥1/week | 792 (59.4%) | 795 (59.6%) | 0.8275 |
2–6/week | 396 (29.7%) | 385 (28.9%) | ||
≥1/day | 146 (10.9%) | 154 (11.5%) | ||
Water consumption | <1/day | 148 (11.1%) | 137 (10.3%) | 0.0020 |
1–2/day | 637 (47.8%) | 558 (41.8%) | ||
≥3/day | 549 (41.1%) | 639 (47.9%) |
Assessed Consumption | Portions per Week | before COVID-19 | during Remote Education Due to COVID-19 | p-Value |
---|---|---|---|---|
French fried potatoes consumption | >1 | 1079 (80.9%) | 1054 (79.0%) | 0.3657 |
1–2 | 213 (15.9%) | 227 (17.0%) | ||
≥2 | 42 (3.2%) | 53 (4.0%) | ||
Fast food consumption | >1 | 1197 (89.7%) | 1187 (88.9%) | 0.4135 |
1–2 | 113 (8.5%) | 113 (8.5%) | ||
≥2 | 24 (1.8%) | 34 (2.6%) |
Category of COVID-19 Morbidity for the Voivodeship | Frequency | before COVID-19 | during Remote Education Due to COVID-19 | p-Value |
---|---|---|---|---|
Frequency of eating their meals in front of the television | Never or rarely | 475 (35.6%) | 385 (28.9%) | <0.0001 |
1–4/week | 509 (38.2%) | 649 (48.6%) | ||
5–6/week | 156 (11.7%) | 129 (9.7%) | ||
7/week | 194 (14.5%) | 171 (12.8%) | ||
Number of days when they are physically active | 0–2/week | 542 (40.6%) | 501 (37.6%) | 0.1125 |
≥3/week | 792 (59.4%) | 833 (62.4%) | ||
Number of hours that they spend watching television | <2 h/day | 289 (21.7%) | 155 (11.6%) | <0.0001 |
≥2 h/day | 1045 (78.3%) | 1179 (88.4%) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kołota, A.; Głąbska, D. COVID-19 Pandemic and Remote Education Contributes to Improved Nutritional Behaviors and Increased Screen Time in a Polish Population-Based Sample of Primary School Adolescents: Diet and Activity of Youth during COVID-19 (DAY-19) Study. Nutrients 2021, 13, 1596. https://doi.org/10.3390/nu13051596
Kołota A, Głąbska D. COVID-19 Pandemic and Remote Education Contributes to Improved Nutritional Behaviors and Increased Screen Time in a Polish Population-Based Sample of Primary School Adolescents: Diet and Activity of Youth during COVID-19 (DAY-19) Study. Nutrients. 2021; 13(5):1596. https://doi.org/10.3390/nu13051596
Chicago/Turabian StyleKołota, Aleksandra, and Dominika Głąbska. 2021. "COVID-19 Pandemic and Remote Education Contributes to Improved Nutritional Behaviors and Increased Screen Time in a Polish Population-Based Sample of Primary School Adolescents: Diet and Activity of Youth during COVID-19 (DAY-19) Study" Nutrients 13, no. 5: 1596. https://doi.org/10.3390/nu13051596
APA StyleKołota, A., & Głąbska, D. (2021). COVID-19 Pandemic and Remote Education Contributes to Improved Nutritional Behaviors and Increased Screen Time in a Polish Population-Based Sample of Primary School Adolescents: Diet and Activity of Youth during COVID-19 (DAY-19) Study. Nutrients, 13(5), 1596. https://doi.org/10.3390/nu13051596