Advances in Clinical and Experimental Medicine

Adv Clin Exp Med
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ISSN 1899–5276 (print)
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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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Creative Commons BY-NC-ND 3.0 Open Access

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

Abstract

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

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