BACKGROUND: The current negative trend in the physical behavior and lifestyle of the population therefore requires adequate changes in the professional training of physiotherapists. OBJECTIVES: This study aimed to determine the structure and differences in the weekly physical activity (PA) of Czech physiotherapy students, the use of wearables in physiotherapy professional training, and the attitude of physiotherapy students toward PA and the use of wearables in physiotherapy practice. METHODS: Between 2013 and 2022, 412 physiotherapy students participated in a PA-monitoring study using questonnaires International Physical Activity Questionnaire-long form, Motives for Physical Activity Measure-Revise, pedometers, Garmin Vívofit and Axivity AX3 accelerometers. RESULTS: A retrospective analysis of physiotherapy students PA drew attention to insufficient weekly PA and insufficient achievement of the PA recommendation of at least 60 min five times a week (55% of men and 41% of women). Instrumental PA monitoring allowed analyzing individual daily PA and structure of weekly PA. Highest PA indicated men (14,102 steps/day) and women (12,724 steps/day) of the 1st study year on Tuesday. The lowest PA (9,488 steps/day for men and 8,815 steps/day for women), were observed in the 4th study year on Sundays. The recommended target of 11,000 steps per day was achieved by 40% of the men and 46% of the women. Wearables enhanced participants PA motivation (51%). CONCLUSIONS: The inclusion of weekly PA monitoring in the professional training of physiotherapists ensured a deeper insight into the possibilities of PA monitoring in physiotherapy practice . Students are prepared to use wearables more widely to improve physical therapy practice.

The study demonstrated the need for greater support for physical activity (PA) of physiotherapy students during their studies.Incorporating comprehensive weekly PA monitoring into physiotherapy education is essential, especially with the rapid development of wearable technology.Monitoring PA using different methods enabled students to better assess the possibilities of using wearables in physiotherapy practice.

• Klíčová slova
• Physical activity, lifestyle, monitoring, professional education, wearables,
• MeSH
• cvičení * fyziologie   MeSH
• dospělí MeSH
• fyzioterapeuti * výchova   MeSH
• lidé MeSH
• mladý dospělý MeSH
• motivace MeSH
• postoj zdravotnického personálu MeSH
• průzkumy a dotazníky MeSH
• retrospektivní studie MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH

AIMS: Accelerometers are becoming increasingly commonplace for assessing physical activity; however, their use in patients with cardiovascular diseases is relatively substandard. We aimed to systematically review the methods used for collecting and processing accelerometer data in cardiology, using the example of heart failure, and to provide practical recommendations on how to improve objective physical activity assessment in patients with cardiovascular diseases by using accelerometers. METHODS AND RESULTS: Four electronic databases were searched up to September 2019 for observational, interventional, and validation studies using accelerometers to assess physical activity in patients with heart failure. Study and population characteristics, details of accelerometry data collection and processing, and description of physical activity metrics were extracted from the eligible studies and synthesized. To assess the quality and completeness of accelerometer reporting, the studies were scored using 12 items on data collection and processing, such as the placement of accelerometer, days of data collected, and criteria for non-wear of the accelerometer. In 60 eligible studies with 3500 patients (of those, 536 were heart failure with preserved ejection fraction patients), a wide variety of accelerometer brands (n = 27) and models (n = 46) were used, with Actigraph being the most frequent (n = 12), followed by Fitbit (n = 5). The accelerometer was usually worn on the hip (n = 32), and the most prevalent wear period was 7 days (n = 22). The median wear time required for a valid day was 600 min, and between two and five valid days was required for a patient to be included in the analysis. The most common measures of physical activity were steps (n = 20), activity counts (n = 15), and time spent in moderate-to-vigorous physical activity (n = 14). Only three studies validated accelerometers in a heart failure population, showing that their accuracy deteriorates at slower speeds. Studies failed to report between one and six (median 4) of the 12 scored items, with non-wear time criteria and valid day definition being the most underreported items. CONCLUSIONS: The use of accelerometers in cardiology lacks consistency and reporting on data collection, and processing methods need to be improved. Furthermore, calculating metrics based on raw acceleration and machine learning techniques is lacking, opening the opportunity for future exploration. Therefore, we encourage researchers and clinicians to improve the quality and transparency of data collection and processing by following our proposed practical recommendations for using accelerometers in patients with cardiovascular diseases, which are outlined in the article.

• Klíčová slova
• Counts, Cut points, Heart failure, Physical activity, Raw acceleration, Steps,
• MeSH
• akcelerometrie MeSH
• cvičení MeSH
• kardiovaskulární nemoci * MeSH
• lidé MeSH
• srdeční selhání * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• systematický přehled MeSH

INTRODUCTION: Although numerous activity trackers have been validated in healthy populations, validation is lacking in chronic heart failure patients who normally walk at a slower pace, making it difficult for researchers and clinicians to implement activity monitors during physical activity interventions. METHODS: Six consumer-level activity monitors were validated in a 3-day field study in patients with chronic heart failure and healthy individuals under free living conditions. Furthermore, the same devices were evaluated in a lab-based study during treadmill walking at speeds of 2.4, 3.0, 3.6, and 4.2 km·h-1. Concordance correlation coefficients (CCC) were used to evaluate the agreement between the activity monitors and the criterion, and mean absolute percentage errors (MAPE) were calculated to assess differences between each device and the criterion (MAPE <10% was considered as a threshold for validity). RESULTS: In the field study of healthy individuals, all but one of the activity monitors showed a substantial correlation (CCC ≥0.95) with the criterion device and MAPE <10%. In patients with heart failure, the correlation of only two activity monitors (Garmin vívofit 3 and Withings Go) was classified as at least moderate (CCC ≥0.90) and none of the devices had MAPE <10%. In the lab-based study at speeds 4.2 and 3.6 km·h-1, all activity monitors showed substantial to almost perfect correlations (CCC ≥0.95) with the criterion and MAPE in the range 1%-3%. However, at slower speeds of 3.0 and 2.4 km·h-1, the accuracy of all devices substantially deteriorated: their correlation with the criterion decreased below 90% and their MAPE increased to 4-8% and 10-45%, respectively. CONCLUSIONS: Even though none of the tested activity monitors fall within arbitrary thresholds for validity, most of them perform reasonably well enough to be useful tools that clinicians can use to simply motivate chronic heart failure patients to walk more.

• MeSH
• akcelerometrie přístrojové vybavení   metody   MeSH
• ambulantní monitorování přístrojové vybavení   metody   MeSH
• chronická nemoc MeSH
• chůze fyziologie   MeSH
• cvičení fyziologie   MeSH
• dospělí MeSH
• fitness náramky MeSH
• lidé MeSH
• reprodukovatelnost výsledků MeSH
• senioři MeSH
• srdeční selhání patofyziologie   MeSH
• zátěžový test přístrojové vybavení   metody   MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

BACKGROUND: New fitness trackers and smartwatches are released to the consumer market every year. These devices are equipped with different sensors, algorithms, and accompanying mobile apps. With recent advances in mobile sensor technology, privately collected physical activity data can be used as an addition to existing methods for health data collection in research. Furthermore, data collected from these devices have possible applications in patient diagnostics and treatment. With an increasing number of diverse brands, there is a need for an overview of device sensor support, as well as device applicability in research projects. OBJECTIVE: The objective of this study was to examine the availability of wrist-worn fitness wearables and analyze availability of relevant fitness sensors from 2011 to 2017. Furthermore, the study was designed to assess brand usage in research projects, compare common brands in terms of developer access to collected health data, and features to consider when deciding which brand to use in future research. METHODS: We searched for devices and brand names in six wearable device databases. For each brand, we identified additional devices on official brand websites. The search was limited to wrist-worn fitness wearables with accelerometers, for which we mapped brand, release year, and supported sensors relevant for fitness tracking. In addition, we conducted a Medical Literature Analysis and Retrieval System Online (MEDLINE) and ClinicalTrials search to determine brand usage in research projects. Finally, we investigated developer accessibility to the health data collected by identified brands. RESULTS: We identified 423 unique devices from 132 different brands. Forty-seven percent of brands released only one device. Introduction of new brands peaked in 2014, and the highest number of new devices was introduced in 2015. Sensor support increased every year, and in addition to the accelerometer, a photoplethysmograph, for estimating heart rate, was the most common sensor. Out of the brands currently available, the five most often used in research projects are Fitbit, Garmin, Misfit, Apple, and Polar. Fitbit is used in twice as many validation studies as any other brands and is registered in ClinicalTrials studies 10 times as often as other brands. CONCLUSIONS: The wearable landscape is in constant change. New devices and brands are released every year, promising improved measurements and user experience. At the same time, other brands disappear from the consumer market for various reasons. Advances in device quality offer new opportunities for research. However, only a few well-established brands are frequently used in research projects, and even less are thoroughly validated.

• Klíčová slova
• fitness trackers, heart rate, motor activity, photoplethysmography, physical activity,
• MeSH
• cvičení fyziologie   MeSH
• fitness náramky trendy   MeSH
• fotopletysmografie metody   MeSH
• lidé MeSH
• mobilní aplikace trendy   MeSH
• nositelná elektronika trendy   MeSH
• srdeční frekvence fyziologie   MeSH
• zápěstí MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH