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Győri F, Berki T, Katona Z, et al. Physical Activity in the Southern Great Plain Region of Hungary: The Role of Sociodemographics and Body Mass Index. Int J Environ Res Public Health. 2021;18(23)doi: 10.3390/ijerph182312414.
Győri, F., Berki, T., Katona, Z., Vári, B., Katona, Z., & Petrovszki, Z. (2021). Physical Activity in the Southern Great Plain Region of Hungary: The Role of Sociodemographics and Body Mass Index. International journal of environmental research and public health, 18(23), . https://doi.org/10.3390/ijerph182312414
Győri, Ferenc, et al. "Physical Activity in the Southern Great Plain Region of Hungary: The Role of Sociodemographics and Body Mass Index." International journal of environmental research and public health vol. 18,23 (2021). doi: https://doi.org/10.3390/ijerph182312414
Győri F, Berki T, Katona Z, Vári B, Katona Z, Petrovszki Z. Physical Activity in the Southern Great Plain Region of Hungary: The Role of Sociodemographics and Body Mass Index. Int J Environ Res Public Health. 2021 Nov 25;18(23). doi: 10.3390/ijerph182312414. PMID: 34886139; PMCID: PMC8656756.
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Int J Environ Res Public Health. 2021 Nov 25;18(23). doi: 10.3390/ijerph182312414.

Physical Activity in the Southern Great Plain Region of Hungary: The Role of Sociodemographics and Body Mass Index.

International journal of environmental research and public health

Ferenc Győri, Tamás Berki, Zoltán Katona, Beáta Vári, Zsolt Katona, Zita Petrovszki

Affiliations

  1. Institution of Physical Education and Sport Sciences, Faculty of Education, University of Szeged, 6720 Szeged, Hungary.

PMID: 34886139 PMCID: PMC8656756 DOI: 10.3390/ijerph182312414

Abstract

This study explores the level of physical activity and its associations with sociodemographics and body mass index (BMI) in the Southern Great Plain region of Hungary. A total of 1648 adults (Men = 572; Women = 1076) were involved in this study. Their mean age was 43.0 (SD = 15.3), and they were recruited at different face-to-face events from July 2018 to January 2019. The International Physical Activity Questionnaire (IPAQ) was used to assess physical activity, and the participants were asked different questions related to their sociodemographics (e.g., education, income) and physical attributes (e.g., height, weight). Additionally, a descriptive statistical, chi-square test was used the see the gender differences, and multinominal regression analysis was used to see the associations between gender, age, place of residence, education, income, BMI, and physical activity levels. Our analysis showed that 19.2% of the sample had a low-, 41.1% had a moderate-, and 39.7% had a high level of physical activity. Furthermore, a high and a moderate level of physical activity were associated with gender, age, residence, education, and BMI. We believe this present study helps understand the role of physical activity in health through the example of the Southern Great Plain region of Hungary, which can provide useful information for experts to increase participation in regular physical activity.

Keywords: Hungary; IPAQ; Southern Great Plain; physical activity; sociodemographic

References

  1. BMC Public Health. 2020 Aug 17;20(Suppl 1):1198 - PubMed
  2. BMC Public Health. 2020 Aug 17;20(Suppl 1):1174 - PubMed
  3. J Exerc Rehabil. 2017 Aug 29;13(4):375-377 - PubMed
  4. Redox Biol. 2017 Aug;12:285-290 - PubMed
  5. Int J Epidemiol. 1998 Feb;27(1):57-63 - PubMed
  6. Prev Med. 2011 Mar-Apr;52(3-4):247-9 - PubMed
  7. Ann Agric Environ Med. 2011;18(2):241-5 - PubMed
  8. Soc Psychiatry Psychiatr Epidemiol. 2012 Jul;47(7):1023-33 - PubMed
  9. Lancet Glob Health. 2018 Oct;6(10):e1077-e1086 - PubMed
  10. BMC Public Health. 2008 Oct 22;8:367 - PubMed
  11. BMC Public Health. 2021 Apr 23;21(Suppl 1):381 - PubMed
  12. Am J Med. 2014 Aug;127(8):717-727.e12 - PubMed
  13. Ann Agric Environ Med. 2021 Sep 16;28(3):509-515 - PubMed
  14. Occup Environ Med. 2005 Feb;62(2):95-100 - PubMed
  15. Prev Med. 2011 Jul-Aug;53(1-2):24-8 - PubMed
  16. Prev Med. 2015 Dec;81:87-91 - PubMed
  17. Prev Med. 2009 Apr;48(4):321-5 - PubMed
  18. J Sport Health Sci. 2017 Dec;6(4):388-394 - PubMed
  19. Br J Sports Med. 2011 Sep;45(11):866-70 - PubMed
  20. Front Public Health. 2020 Jun 02;8:203 - PubMed
  21. J Phys Act Health. 2017 Jan;14(1):20-28 - PubMed
  22. Prev Med. 2018 Aug;113:102-108 - PubMed
  23. Free Radic Biol Med. 2019 Feb 20;132:33-41 - PubMed
  24. BMC Public Health. 2009 Jul 10;9:224 - PubMed
  25. Orv Hetil. 2021 Feb 28;162(9):323-335 - PubMed
  26. Med Sci Sports Exerc. 2004 Dec;36(12):2093-8 - PubMed
  27. Health Promot Int. 2010 Sep;25(3):277-88 - PubMed
  28. BMC Public Health. 2016 Aug 26;16:893 - PubMed
  29. BMC Med Res Methodol. 2018 Dec 22;18(1):176 - PubMed
  30. Public Health Nutr. 2010 Jul;13(7):1131-8 - PubMed
  31. Int J Environ Res Public Health. 2021 Aug 12;18(16): - PubMed

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