Advances in Clinical and Experimental Medicine

Title abbreviation: Adv Clin Exp Med
JCR Impact Factor (IF) – 1.727
Index Copernicus  – 166.39
MEiN – 70 pts

ISSN 1899–5276 (print)
ISSN 2451-2680 (online)
Periodicity – monthly

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Advances in Clinical and Experimental Medicine

2018, vol. 27, nr 8, August, p. 1037–1044

doi: 10.17219/acem/69131

Publication type: original article

Language: English

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Follow-up monitoring of physical activity after rehabilitation by means of a mobile application: Effectiveness of measurements in different age groups

Tomasz Saran1,A,B,C,D,E,F, Agnieszka Pedrycz2,A,B,C,D,E,F, Dawid Mucha3,A,B,C,D,E,F, Dariusz Mucha4,A,B,C,D,E,F

1 Department of General and Neurorehabilitation, the Witold Chodźko Institute of Rural Health, Lublin, Poland

2 Department of Histology and Embryology, Medical University of Lublin, Poland

3 Institute of Humanities, Social Sciences and Tourism, Podhale State College of Applied Sciences in Nowy Targ, Poland

4 Department of the Biological Renovation and Correction of Defects of Attitudes, Institute of Biomedicine, University School of Physical Education, Kraków, Poland


Background. Active monitoring of the level of daily physical activity seems to be a useful element for secondary prevention in public health. Low physical activity increases the incidence of cardiovascular diseases, obesity, diabetes, musculoskeletal diseases, and causes loss of the previously achieved effects of rehabilitation.
Objectives. The purpose of this study was to assess the level of physical activity in different age groups of adults with the use of the telemedical system based on a mobile application.
Material and Methods. The research covered data collected remotely from 927 individuals of both genders, aged 20−80 years (group I: 20−40 years, group II: 41−60 years, group III: 61−80 years). A monitoring system (Activity Measurement Tool) developed in the Department of General Rehabilitation at the Witold Chodźko Institute of Rural Health (Lublin, Poland) was used to measure home physical activity in the examined group. The system uses a dedicated mobile application, cellular data transmission and web data-showing software. Home physical activity was assessed using the International Physical Activity Questionnaire – Short Form (IPAQ-SF) and simultaneous processing of data from a smartphone accelerometer.
Results. The mean level of physical activity in the group of active application users (≥2 days, n = 494), expressed as Metabolic Equivalent of Task (MET)-min/week (IPAQ-SF), was as follows: group I (female participants (F): 5,767.9, n = 73; male participants (M): 4,888.4 n = 251), group II (F: 3,468.7, n = 24; M: 4,053.5, n = 119) and in group III (M: 5,769.3, n = 27; no female participants were involved). In 72.3% of users, the registered physical activity was smaller in relation to IPAQ-assessed/7 days physical activity (sign test: n = 494; percentage of negative differences: 72.3%; Z = 9.9; p = 0.00).
Conclusion. The research findings indicate a high level of self-reported physical activity among the users in all age and gender groups, although it is not reflected in the level of registered activity. Although the level of daily physical activity was evaluated, it was mainly among young and middle-aged men who gladly and regularly made use of the measurement possibilities offered by mobile technology.

Key words

motor activity, aging, smartphone, telerehabilitation, patient monitoring

References (28)

  1. Frederix I, Vanhees L, Dendale P, Goetschalckx K. A review of telerehabilitation for cardiac patients. J Telemed Telecare. 2015;21:45–53.
  2. Whittaker F, Wade V. The costs and benefits of technology-enabled, home-based cardiac rehabilitation measured in a randomised controlled trial. J Telemed Telecare. 2014;20:419–422.
  3. Seiter J, Derungs A, Schuster-Amft C, Amft O, Tröster G. Daily life activity routine discovery in hemiparetic rehabilitation patients using topic models. Methods Inf Med. 2015;54(3):248–255.
  4. Buchner DM. Physical activity and prevention of cardiovascular disease in older adults. Clin Geriatr Med. 2009;25(4):661–675.
  5. Spirduso WW, Cronin DL. Exercise dose-response effects on quality of life and independent living in older adults. Med Sci Sports Exerc. 2001;33(6):598–608.
  6. Taylor AH, Cable NT, Faulkner G, et al. Physical activity and older adults: A review of health benefits and the effectiveness of interventions. J Sports Sci. 2004;22(8):703–725.
  7. Parkkari J, Natri A, Kannus P, et al. A controlled trial of the health benefits of regular walking on a golf course. Am J Med. 2000;109(2):102–108.
  8. Wannamethe GS, Shaper GA, Walker M. Physical activity and risk of cancer in middle-aged men. Br J Cancer. 2001;85(9):1311–1316.
  9. Waxman A. WHO’s global strategy on diet, physical activity and health response to a worldwide epidemic of non-communicable diseases. Scand J Nutrition. 2004;48:58–60.
  10. Abu-Omar K, Rutten A, Lahtinen V. Mental health and physical activity in the European Union. Soz Praventivmed. 2004;49:301–309.
  11. Raglin J, Wilson GS, Galper D. Exercise and its effects on mental health. In: Bouchard C, Blair SN, Haskell WL, eds. Physical Activity and Health. Champaign, IL: Human Kinetics; 2007.
  12. International Physical Activity Questionnaire: Ki. Accessed June 8, 2016.
  13. Saran T, Horoch A. Telemedyczne podtrzymywanie aktywności ruchowej za pomocą smartfonów – system telemonitorujący w Instytucie Medycyny Wsi [in Polish]. MONZ. 2013;19(4):500–503.
  14. Pate RR, Prat M, Blair SN, et al. Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. J Am Med Assoc. 1995;273(5):402–407.
  15. Brown WJ, Trost SG, Bauman A, Mummery K, Owen N. Test-retest reliability of four physical activity measures used in population surveys. J Sci Med Sport. 2007;7(2):205–215.
  16. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels: Surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247–257.
  17. Global Recommendations on Physical Activity for Health. Geneva: World Health Organisation; 2010.
  18. Hemmingsson E, Ekelund U. Is the association between physical activity and body mass index obesity dependent? Int J Obes (Lond). 2007;31(4):663–668.
  19. Haskell WL, Lee IM, Pate RR, et al. Physical activity and public health: Updated recommendations for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sport Exer. 2007;39(8):1423–1434.
  20. Scott JS, Holleman RG, Richardson CR, Ronis DL, Swartz AM. Objective physical activity accumulation in bouts and nonbouts and relation to markers of obesity in US Adults. Prev Chronic Dis. 2008;5(4):A131.
  21. Singh RB, Pella D, Mechirova V, et al.; The Five City Study Group. Prevalence of obesity, physical inactivity and undernutrition, a triple burden of diseases during transition in a developing economy. Acta Cardiol. 2007;62:119–27.
  22. The World Health Report 2002: Reducing Risk, Promoting Health Life. Geneva: World Health Organization; 2002:61.
  23. Rutten A, Ziemainz H, Schena F, et al. Using different physical activity measurements in eight European countries. Results of the European Physical Activity Surveillance System (EUPASS) time series survey. Public Health Nutr. 2003;6:371–376.
  24. Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003;37:197–206.
  25. Meisinger C, Lowel H, Thorand B, Doring A. Leisure time physical activity and the risk of type 2 diabetes in men and women from the general population. The MONICA/KORA Augsburg Cohort Study. Diabetologia. 2005;48:27–34.
  26. Deng HB, Macfarlane DJ, Thomas GN, et al. Reliability and validity of the IPAQ-Chinese: The Guangzhou Biobank Cohort study. Med Sci Sports Exerc. 2008;40:303–307.
  27. Kwak L, Proper KI, Hagströmer M, Sjöström M. The repeatability and validity of questionnaires assessing occupational physical activity – a systematic review. Scand J Work Environ Health. 2011;37(1):6–29.
  28. Grimm EK, Swartz AM, Hart T, et al. Comparison of the IPAQ-Short Form and accelerometry predictions of physical activity in older adults. J Aging Phys Act. 2012;20:64–79.