Abstract
This research aimed to investigate how health behaviors changed during the COVID-19 pandemic and to identify the economic factors influencing these changes. There were considered income situation and labor market situation as the potential economic factors. Additionally, in the analysis, there were included other characteristics: age, gender, and education level. Health condition was considered through the prism of certain unhealthy characteristics: alcohol consumption, smoking cigarettes, lack of physical activity, and unfavorable eating habits. The study was carried out on the stratified sample of adult inhabitants of Poland (N=1067) in November 2020. To achieve the aim multiple correspondence analysis was used. The results show that the pandemic has changed health behaviors. The negative changes mainly concerned physical activity and eating habits, and only one-sixth reported an increase in alcohol use and cigarette smoking. An increase in negative health behavior was mostly associated with the following characteristics: male, lower age (between 30 and 59), employed persons, tertiary education, and higher income (the fourth and the fifth income quintile group). The exception was a physical activity, where all changes (both negative and positive) were associated with females, people with basic vocational and secondary education, the second and third quintile group, pensioners and retirees, 60 and above age.
Keywords: income situation, labor market status, health behavior changes, multiple correspondence analysis, Poland, pandemic
References
- 1.Walmsley Terrie, Rose Adam, Wei Dan. “The impacts of the coronavirus on the economy of the United States.”. Economics of Disasters and Climate Change. 2021;5:1–52. doi: 10.1007/s41885-020-00080-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ibn-Mohammed T., Mustapha K.B., Godsell J., Adamu Z., Babatunde K.A., Akintade D.D., Acquaye A., Fujii H., Ndiaye M.M., Yamoah F.A., Koh S.C.L. “A critical analysis of the impacts of COVID-19 on the global economy and ecosystems and opportunities for circular economy strategies.”. Resources, Conservation & Recycling. 2021;164:105169. doi: 10.1016/j.resconrec.2020.105169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Porsse Alexandre A., de Souza Kênia B., Carvalho Terciane S., Vale Vinícius A. “The economic impacts of COVID-19 in Brazil based on an interregional CGE approach.”. Regional Science Policy and Practice. 2020;12:1105–1121. doi: 10.1111/rsp3.12354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Maliszewska, Maryla, Aaditya Mattoo, and Dominique van der Mensbrugghe. (2020) “The potential impact of COVID-19 on GDP and trade.” Policy Research Working Paper 9211. http://documents1.worldbank.org/curated/en/295991586526445673/pdf/The-Potential-Impact-of-COVID-19-on-GDP-and-Trade-A-Preliminary-Assessment.pdf (15.04.2021).
- 5.Naidoo Robin, Fisher Brendan. “Sustainable Development Goals: pandemic reset.”. Nature. 2020;583(7815):198–201. doi: 10.1038/d41586-020-01999-x. [DOI] [PubMed] [Google Scholar]
- 6.Ritchie, Hannah, Esteban Ortiz-Ospina, Diana Beltekian, Edouard Mathieu, Joe Hasell, Bobbie Macdonald, Charlie Giattino, Cameron Appel, and Max Roser. (2021) “Coronavirus (COVID-19) vaccinations.” https://ourworldindata.org/covid-vaccinations (21.04.2021).
- 7.World Health Organization. (2020). “COVID-19 and violence against women. What the health sector/system can do.” https://apps.who.int/iris/bitstream/handle/10665/331699/WHO-SRH-20.04-eng.pdf (20.04.2021).
- 8.Sączewska-Piotrowska, Anna, and Damian Piotrowski. (2017) “Lifestyle characteristics of poor and rich people in Poland.” in Albert Gardoń, Cyprian Kozyra, and Edyta Mazurek (eds) Applications of Mathematics and Statistics in Economics 2017. Conference Proceedings. Full text papers, Wrocław, Publishing House of Wrocław University of Economics.
- 9.Blasius Jörg, Greenacre Michael. Correspondence analysis and related methods in practice. Chapman & Hall/CRC; Boca Raton: 2006. [Google Scholar]
- 10.Greenacre Michael. Correspondence analysis in practice. Chapman & Hall/CRC; Boca Raton: 2007. [Google Scholar]
- 11.Greenacre Michael. In: International Encyclopedia of Education. Third Edition. Peterson Penelope, Baker Eva, McGaw Barry., editors. Elsevier; 2010. “Correspondence analysis.”. [Google Scholar]
- 12.Sourial Nadia, Wolfson Christina, Zhu Bin, Quail Jacqueline, Fletcher John, Karunananthan Sathya, Bandeen-Roche Karen, Béland François, Bergman Howard. “Correspondence analysis is a useful tool to uncover the relationships among categorical variables.”. Journal of Clinical Epidemiology. 2010;63(6):638–646. doi: 10.1016/j.jclinepi.2009.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kim Samuel Seongseop, Chun Hejin, Petrick James F. “Positioning analysis of overseas golf tour destinations by Korean golf tourists.”. Tourism Management. 2005;26(6):905–917. [Google Scholar]
- 14.Batóg Jacek, Batóg Barbara. “Application of correspondence analysis to the identification of the influence of features of unemployed persons on the unemployment duration.”. Economics and Business Review. 2016;2(16):25–44. [Google Scholar]
- 15.Brzezińska Justyna. “Statistical analysis of economic poverty in Poland using R.”. Econometrics. Ekonometria. Advances in Applied Data Analysis. 2018;22(2):45–53. [Google Scholar]
- 16.Strzelecka Agnieszka, Kudryś-Kujawska Agnieszka, Zawadzka Danuta. “Application of multidimensional correspondence analysis to identify socioeconomic factors conditioning voluntary life insurance.”. Procedia Computer Science. 2020;176:3407–3417. [Google Scholar]
- 17.Zioło Magdalena, Bąk Iwona, Cheba Katarzyna, Spoz Anna. “The relationship between banks and company business models – sustainability context.”. Procedia Computer Science. 2020;176:1507–1516. [Google Scholar]
- 18.Nicolosi Agata, Rosa Laganà Valentina, Cortese Lorenzo, Privitera Donatella. “Using the network and MCA on tourist attractions. The case of Aeolian Islands, Italy.”. Sustainability. 2018;10:4169. [Google Scholar]
- 19.Girma Gezahegn, Natsume Satoshi, Vittoria Carluccio Anna, Takagi Hiroki, Matsumura Hideo, Uemura Aiko, Muranaka Satoru, Takagi Hiroko, Stavolone Livia, Gedil Melaku, Spillane Charles, Terauchi Ryohei, Tamiru Muluneh. “Identification of candidate flowering and sex genes in white Guinea yam (D. rotundata Poir.) by SuperSAGE transcriptome profiling.”. PLoS ONE. 2019;14(9):e0216912. doi: 10.1371/journal.pone.0216912. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Brzezińska Justyna. In: Analiza danych jakościowych i symbolicznych z wykorzystaniem programu R. Gatnar Eugeniusz, Walesiak Marek., editors. C.H. Beck; Warszawa: 2011. “Analiza korespondencji.”. [Google Scholar]
- 21.Doey Laura, Kurta Jessica. “Correspondence analysis applied to psychological research.”. Tutorials in Quantitative Methods for Psychology. 2011;7(1):5–14. [Google Scholar]
- 22.Clausen Sten-Erik. Applied correspondence analysis. Sage Publications; Thousand Oaks: 1998. [Google Scholar]
- 23.Cluster analysis. https://www.empirical-methods.hslu.ch/decisiontree/interdependency-analysis/grouping-of-objects/3170-2/ (15.04.2021).
- 24.Nenadić, Oleg, and Michael Greenacre. (2005) “Computation of multiple correspondence analysis, with code in R.” UPF Working Paper 887. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.470.7630&rep=rep1&type=pdf (15.04.2021).
- 25.IBM Corporation. (2019). IBM SPSS Statistics for Windows, Version 26.0, Armonk, NY.
- 26.Martínez-de-Quel Óscar, Suárez-Iglesias David, López-Flores Marcos, Ayán Pérez Carlos. “Physical activity, dietary habits and sleep quality before and during COVID-19 lockdown: A longitudinal study.”. Appetite. 2021;158:105019. doi: 10.1016/j.appet.2020.105019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Sánchez-Sánchez Eduardo, Ramírez-Vargas Guillermo, Avellaneda-López Ylenia, Ignacio Orellana-Pecino J., García-Marín Esperanza, Díaz-Jimenez Jara. “Eating habits and physical activity of the Spanish population during the COVID-19 pandemic period.”. Nutrients. 2020;12:2826. doi: 10.3390/nu12092826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Deschasaux-Tanguy Mélanie, Druesne-Pecollo Nathalie, Esseddik Younes, Szabo de Edelenyi Fabien, Allès Benjamin, Andreeva Valentina A., Baudry Julia, Charreire Hélène, Deschamps Valérie, Egnell Manon, Fezeu Leopold K., Galan Pilar, Julia Chantal, Kesse-Guyot Emmanuelle, Latino-Martel Paule, Oppert Jean-Michel, Péneau Sandrine, Verdot Charlotte, Hercberg Serge, Touvier Mathilde. “Diet and physical activity during the coronavirus disease 2019 (COVID-19) lockdown (March–May 2020): results from the French NutriNet-Santé cohort study.”. The American Journal of Clinical Nutrition. 2021;113:924–938. doi: 10.1093/ajcn/nqaa336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Robinson Eric, Boyland Emma, Chisholm Anna, Harrold Joanne, Maloney Niamh G., Marty Lucile, Mead Bethan R., Noonan Rob, Hardman Charlotte A. “Obesity, eating behavior and physical activity during COVID-19 lockdown: a study of UK adults.”. Appetite. 2021;156:104853. doi: 10.1016/j.appet.2020.104853. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kriaucioniene Vilma, Bagdonaviciene Lina, Rodríguez-Pérez Celia, Petkeviciene Janina. “Associations between changes in health behaviours and body weight during the COVID-19 Quarantine in Lithuania: the Lithuanian COVIDiet Study.”. Nutrients. 2020;12:3119. doi: 10.3390/nu12103119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Knell Gregory, Robertson Michael C., Dooley Erin E., Burford Katie, Mendez Karla S. “Health behavior changes during COVID-19 pandemic and subsequent “stay-at-home” orders.”. International Journal of Environmental Research and Public Health. 2020;17:6268. doi: 10.3390/ijerph17176268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Puccinelli Paulo José, Santos da Costa Taline, Seffrin Aldo, Andre Barbosa de Lira Claudio, Luiz Vancini Rodrigo, Nikolaidis Pantelis T., Knechtle Beat, Rosemann Thomas, Hill Lee, Santos Andrade Marilia. “Reduced level of physical activity during COVID-19 pandemic is associated with depression and anxiety levels: an internet-based survey.”. BMC Public Health. 2021;21:425. doi: 10.1186/s12889-021-10470-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ordoñez-Araque Roberto, Caicedo-Jaramillo Carla, García-Ulloa Marcela, Dueñas-Ricaurte Juan. “Eating habits and physical activity before and during the health emergency due to COVID-19 in Quito - Ecuador.”. Human Nutrition & Metabolism. 2021;24:200122. doi: 10.1016/j.hnm.2021.200122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Vanderbruggen Nathalie, Matthys Frieda, Van Laere Sven, Zeeuws Dieter, Santermans Liesbeth, Van den Ameele Seline, Crunelle Cleo L. “Self-reported alcohol, tobacco, and cannabis use during COVID-19 lockdown measures: results from a web-based survey.”. European Addiction Research. 2020;26:309–315. doi: 10.1159/000510822. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Grossman Elyse R., Benjamin-Neelon Sara E., Sonnenschein Susan. “Alcohol Consumption during the COVID-19 Pandemic: A Cross-Sectional Survey of US Adults.”. International Journal of Environmental Research and Public Health. 2020;17:9189. doi: 10.3390/ijerph17249189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Hanafi Enjeline, Siste Kristiana, Prabowo Limawan Albert, Thung Sen Lee, Christian Hans, Julivia Murtani Belinda, Adrian Levina, Siswidiani Putri, Suwartono Christiany. “Alcohol- and cigarette-use related behaviors during quarantine and physical distancing amid COVID-19 in Indonesia.”. Frontiers in Psychiatry. 2021;12:622917. doi: 10.3389/fpsyt.2021.622917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Yan Alice F., Sun Xiaomin, Zheng Jinge, Mi Baibing, Zuo Hui, Ruan Guorui, Hussain Akhtar, Wang Youfa, Shi Zumin. “Perceived risk, behavior changes and health-related outcomes during COVID-19 pandemic: findings among adults with and without diabetes in China.”. Diabetes Research and Clinical Practice. 2020;167:108350. doi: 10.1016/j.diabres.2020.108350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Sallie Samantha N., Ritou Valentin, Bowden-Jones Henrietta, Voon Valerie. “Assessing international alcohol consumption patterns during isolation from the COVID-19 pandemic using an online survey: highlighting negative emotionality mechanisms.”. BMJ Open. 2020;10:e044276. doi: 10.1136/bmjopen-2020-044276. [DOI] [PMC free article] [PubMed] [Google Scholar]
