Economic correlates of physical activity in adults

• Autorzy: Puciato D.J. , Rozpara M. , Mynarski W. , Olesniewicz P. , Markiewicz-Patkowska J.

Warianty tytułu

PL

Ekonomiczne korelaty aktywności fizycznej osób dorosłych

• Języki publikacji: EN

Abstrakty

EN

Background. Physical activity plays an immensely significant role in the prevention and treatment of diseases that often lead to premature death. The aim of this study was to examine the relationships between physical activity of adults and determinants of their financial situation such as steady income, per capita income, savings, and indebtedness. Material and methods. The study was carried out between 2014 and 2015 in Wrocław, Poland on a group of 4332 residents aged 18 to 64 years. The respondents’ habitual physical activity levels and income status were assessed with the International Physical Activity Questionnaire Short Form (IPAQ-SF) and the author’s own Socio-Economic Status of Working Age People Questionnaire (S-ESQ), respectively. Results. There are positive correlations between physical activity level and socio-economic status. Steady income and per capita income are two determinants of differences in physical activity in individuals over 44 years of age. The highest level of physical activity was noted in adults with a steady income of more than USD 542 per month. Respondents with savings were also more physically active than their counterparts without savings. Finally, Wrocław residents who were without debts and who were aged 18-44 years were more physically active than were financially indebted residents. Conclusions. Actions should be undertaken to enhance physical activity of those adults remaining in a poor socio-economic situation.

PL

Wprowadzenie. Aktywność fizyczna odgrywa istotną rolę w profilaktyce i terapii chorób, które są często przyczyną przedwczesnych zgonów. Celem pracy jest identyfikacja związków zachodzących między poziomem aktywności fizycznej a takimi aspektami sytuacji materialnej, jak: występowanie stałego źródła dochodów, wysokość dochodów na osobę oraz posiadanie oszczędności i zadłużenia u osób dorosłych. Materiał i metody. Badania przeprowadzono w 2014 i 2015 roku we Wrocławiu (Polska). Materiał badań liczył 4332 osoby w wieku od 18 do 64 lat. Poziom nawykowej aktywności fizycznej i sytuację materialną badanych oceniono za pomocą Międzynarodowego Kwestionariusza Aktywności Fizycznej w wersji krótkiej oraz Kwestionariusza Statusu Społeczno-Ekonomicznego Osób Dorosłych. Wyniki. Występują dodatnie korelacje między poziomem aktywności fizycznej a statusem społeczno-ekonomicznym. Stały dochód oraz jego wysokość na osobę to czynniki różnicujące aktywność fizyczną badanych w wieku powyżej 44 lat. Najwyższym poziomem aktywności fizycznej cechowały się osoby o stałych dochodach w wysokości powyżej 542 dolarów miesięcznie. Badani posiadający oszczędności cechowali się wyższym poziomem aktywności fizycznej od osób ich nieposiadających. Niezadłużeni wrocławianie w wieku od 18 do 44 lat byli bardziej aktywni fizycznie od osób posiadających długi. Wnioski. Należy podjąć działania zmierzające do zwiększenia aktywności fizycznej osób znajdujących się w niekorzystnej sytuacji materialnej.

• Wydawca: -
• Czasopismo: Health Problems of Civilization
• Rocznik: 2019
• Tom: 13
• Numer: 2
• Opis fizyczny: p.128-134,fig.,ref.

Twórcy

autor

Puciato D.J.

• Faculty of Physical Education and Physiotherapy, Opole University of Technology, Opole, Poland

autor

Rozpara M.

• Faculty of Physical Education, The Jerzy Kukuczka Academy of Physical Education in Katowice, Katowice, Poland

autor

Mynarski W.

• Faculty of Physical Education, The Jerzy Kukuczka Academy of Physical Education in Katowice, Katowice, Poland

autor

Olesniewicz P.

• Faculty of Physical Education, University School of Physical Education in Wroclaw, Wrocław, Poland

autor

Markiewicz-Patkowska J.

• Faculty of Finance and Management, WSB University in Wroclaw, Wrocław, Poland

Bibliografia

• 1. Buman M, Hu F, Newman E, Smeaton A, Epstein D. Behavioral periodicity detection from 24 h wrist accelerometry and associations with cardiometabolic risk and health-related quality of life. Biomed Res Int. 2016; 2016: article ID 4856506. https://doi.org/10.1155/2016/4856506
• 2. Mynarski W, Psurek A, Borek Z, Rozpara M, Grabara M, Strojek K. Declared and real physical activity in patients with type 2 diabetes mellitus as assessed by the International Physical Activity Questionnaire and Caltrac accelerometer monitor: a potential tool for physical activity assessment in patients with type 2 diabetes mellitus. Diabetes Res Clin Pr. 2012; 98(1): 46–50. https://doi.org/10.1016/j.diabres.2012.05.024
• 3. Williamson W, Boardman H, Lewandowski A, Leeson P. Time to rethink physical activity advice and blood pressure: a role for occupation-based interventions?. Eur J Prev Cardiol. 2016; 23(10): 1051–1053. https://doi.org/10.1177/2047487316645008
• 4. Rożek-Piechura K, Ignasiak Z, Sławińska T, Piechura J, Ignasiak T. Respiratory function, physical activity and body composition in adult rural population. Ann Agr Env Med. 2014; 21(2): 369–374. https://doi.org/10.5604/1232-1966.1108607
• 5. Dziubek W, Kowalska J, Kusztal M, Rogowski Ł, Gołębiowski T, Nikifur M, et al. The level of anxiety and depression in dialysis patients under-taking regular physical exercise training – a preliminary study. Kidney Blood Press R. 2016; 41(1): 86–98. https://doi.org/10.1159/000368548
• 6. Krzepota J, Biernat E, Florkiewicz B. The relationship between levels of physical activity and quality of life among students of the university of third age. Cent Eur J Publ Heal. 2015; 23(4): 335–339. https://doi.org/10.21101/cejph.a4136
• 7. Puciato D, Borysiuk Z, Rozpara M. Quality of life and physical activity in an older working-age population. Clin Interv Aging. 2017; 12: 1627–1634. https://doi.org/10.2147/CIA.S144045
• 8. Puciato D, Rozpara M, Borysiuk Z. Physical activity as a determinant of quality of life in working-age people in Wrocław, Poland. Int J Env Res Pub He. 2018; 15(4): 623. https://doi.org/10.3390/ijerph15040623
• 9. Sallis J, Cervero R, Ascher W, Henderson K, Kraft M, Kerr J. An ecological approach to creating more physically active communities. Annu Rev Public Health. 2006; 27(1): 297–322, 2006. https://doi.org/10.1146/annurev.publhealth.27.021405.102100
• 10. Chung S, Domino M, Stearns S, Popkin B. Retirement and physical activity analyses by occupation and wealth. Am J Prev Med. 2008; 36(5): 422–428. https://doi.org/10.1016/j.amepre.2012.05.026
• 11. Kim I, So W. The relationship between household income and physical activity in Korea. J Phys Ther Sci. 2014; 26(12): 1887–1889. https://doi.org/10.1589/jpts.26.1887
• 12. Biernat E. Factors increasing the risk of inactivity among administrative, technical and manual workers in Warszawa public institutions. Int J Occup Med Env. 2015; 28(2): 283–294. https://doi.org/10.13075/ijomeh.1896.00194
• 13. Garcez A, Canuto R, Paniz V, Olinto BA, Macagnan J, Henn RL , et al. Association between work shift and the practice of physical activity among workers of a poultry processing plant in Southern Brazil. Nutr Hosp. 2015; 31(5): 2174–2181. https://doi.org/10.3305/nh.2015.31.5.8628
• 14. Attard S, Howard A, Herring A, Zhang B, Du S, Aiello AE, et al. Differential associations of urbanicity and income with physical activity in adults in urbanizing China: findings from the population-based China Health and Nutrition Survey 1991-2009. Int J Behav Nutr Phy. 2015; 12: 152. https://doi.org/10.1186/s12966-015-0321-2
• 15. Van Stralen M, De Vries M, Mudde A, Bolman C, Lechner L. Determinants of initiation and maintenance of physical activity among older adults: a literature review. Health Psychol Rev. 2009; 3(2): 147–207. https://doi.org/10.1080/17437190903229462
• 16. International Physical Activity Questionnaire [Intenet]. [cited 2014 Oct 17]. Available from: http://ipaq.ki.se/ipaq.htm
• 17. Kwaśniewska M, Pikala M, Bielecki W, Dziankowska-Zaborszczyk E, Rębowska E, Kozakiewicz K, et al. Tenyear changes in the prevalence and socio-demographic determinants of physical activity among Polish adults aged 20 to 74 years. Results of the National Multicenter Health Surveys WOBASZ (2003-2005) and WOBASZ II (2013-2014). Plos One. 2016; 11(6): e-0156766. https://doi.org/10.1371/journal.pone.0156766
• 18. Puciato D, Rozpara M, Mynarski W, Łoś A, Królikowska B. Physical activity of adult residents of Katowice and selected determinants of their occupational status and socio-economic characteristics. Med Pr. 2013; 64(5): 649–657. https://doi.org/10.13075/mp.5893.2013.0064
• 19. Choi B, Schnall P, Yang H, Dobson M, Landsbergis P, Israel L, et al. Psychosocial working conditions and active leisure-time physical activity in middle-aged US workers. Int J Occup Med Env. 2010; 23(3): 239–253. https://doi.org/10.2478/v10001-010-0029-0
• 20. Kari J, Pehkonen J, Hirvensalo M, Yang X, Hutri-Kähönen N, Raitakari OT, et al. Income and physical activity among adults. Evidence from self-reported and pedometer-based physical activity measurements. Plos One. 2015; 10(8): e-0135651. https://doi.org/10.1371/journal.pone.0135651
• 21. Biernat E, Piątkowska M. [Recreational physical activity of Poles compared to other Europeans. Report for Department of Analyses and Sports Policy of Ministry of Sport and Tourism]. Warszawa: Ministerstwo Sportu i Turystyki; 2012 (in Polish).
• 22. Pocztarska A, Bergier J. Demographic variables versus physical activity level of the Nałęczów Health Resort visitors. Health Prob Civil. 2015; 4(9): 54–60. https://doi.org/10.5114/hpc.2015.57703
• 23. Puciato D. Physical activity of men from Wroclaw in the view of their discretionary income. J Phys Ther Sci. 2016; 28(9): 2641–2643. https://doi.org/10.1589/jpts.28.2641
• 24. Puciato D. Leisure as a determinant of life quality exemplified by empirical research. Studies and Works of the College of Management and Finance. 2009; 95: 97–109.
• 25. Czapiński J, Panek T. Social Diagnosis 2015. Objective and subjective quality of life in Poland. Quarterly of University of Finance and Management in Warsaw. 2015; 9(4): 56–59.
• 26. Kolasa A, Premik F, Tyrowicz J. The financial situation of the household sector in the fourth quarter of 2015. Warszawa: NBP; 2016.
• 27. Pucci G, Reis R, Rech C, Hallal P. Quality of life and physical activity among adults: population-based study in Brazilian adults. Qual Life Res. 2012; 21(9): 1537–1543. https://doi.org/10.1007/s11136-011-0083-5
• 28. Nawrocka A, Garbaciak W, Cholewa J, Mynarski W. The relationship between meeting of recommendations on physical activity for health and perceived work ability among white-collar workers. Eur J Sport Sci. 2018; 18(3): 415–422. https://doi.org/10.1080/17461391.2018.1424257
• 29. Dubray A, Bergier J, Gładysz I. Role of physical activity in the lifestyle of French nurses. Health Prob Civil. 2017; 11(4): 253–260. https://doi.org/10.5114/hpc.2017.72362
• 30. Nowak R, Kostrzewa-Nowak D, Jastrzębski Z, Zarębska A, Cięszczyk P. High and low impact aerobic exercise as a method of early prevention of Hypercholesterolaemia development among young women. Hum Mov. 2018; 17(4): 242–249. https://doi.org/10.1515/humo-2016-0030
• 31. Myrna-Bekas R, Kałwa M, Stefaniak T, Kulmatycki L. Mood changes in individuals who regularly participate in various forms of physical activity. Hum Mov. 2018; 13(2): 170-177. https://doi.org/10.2478/v10038-012-0019-0

Identyfikatory

DOI

10.5114/hpc.2019.83301