Ambulatory assessment for physical activity research. State of the science, best practices and future directions
| Autor: | Markus Reichert, Holger Hill, Isabel Marzi, Tobias Eckert, Janis Fiedler, Sven Lautenbach, Nanna Notthoff, Sarah Brüßler, Genevieve F. Dunton, Andreas B. Neubauer, Lena M. Wieland, Markus Gerber, René Schilling, Claudio R. Nigg, Ulrich W. Ebner-Priemer, Birte von Haaren-Mack, Darko Jekauc, Bastian Anedda, Alexander Woll, Marco Giurgiu, Elena D. Koch, Alexander Burchartz, Yue Liao, Irina Timm, Kathrin Wunsch, Martina Kanning |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Digitalisierung
Experience sampling method Technology Best practice Applied psychology Proximity Psychological intervention Physical activity Aktivität Method Technologie 790 Sports games & entertainment Lebenswirklichkeit Lebensnähe Data capture technique Article 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine ddc:150 Zukunftsorientierung Psychology Contextual information 0501 psychology and cognitive sciences State of the science Everyday life Applied Psychology Computerunterstütztes Verfahren Class (computer programming) Forschungsstand Best-Practice-Modell Future orientation Methode Verfolgung 05 social sciences Datenerhebungstechnik 030229 sport sciences Digitalization Diaries Körper Körper Self disclosure Psychologie Selbstbeurteilung 150 Psychologie 150 Psychology Tagebuch Alltagssituation |
| Zdroj: | Psychology of sport and exercise 50 (2020) 101742, 49 S. Psychol Sport Exerc |
| DOI: | 10.25657/02:22889 |
| Popis: | Psychology of sport and exercise 50 (2020) 101742, 49 S. Technological and digital progress benefits physical activity (PA) research. Here we compiled expert knowledge on how Ambulatory Assessment (AA) is utilized to advance PA research, i.e., we present results of the 2nd International CAPA Workshop 2019 "Physical Activity Assessment - State of the Science, Best Practices, Future Directions" where invited researchers with experience in PA assessment, evaluation, technology and application participated. First, we provide readers with the state of the AA science, then we give best practice recommendations on how to measure PA via AA and shed light on methodological frontiers, and we furthermore discuss future directions. AA encompasses a class of methods that allows the study of PA and its behavioral, biological and physiological correlates as they unfold in everyday life. AA includes monitoring of movement (e.g., via accelerometry), physiological function (e.g., via mobile electrocardiogram), contextual information (e.g., via geolocation-tracking), and ecological momentary assessment (EMA; e.g., electronic diaries) to capture self-reported information. The strengths of AA are data assessment that near real-time, which minimizes retrospective biases in real-world settings, consequentially enabling ecological valid findings. Importantly, AA enables multiple assessments across time within subjects resulting in intensive longitudinal data (ILD), which allows unraveling within-person determinants of PA in everyday life. In this paper, we show how AA methods such as triggered e-diaries and geolocation-tracking can be used to measure PA and its correlates, and furthermore how these findings may translate into real-life interventions. In sum, AA provides numerous possibilities for PA research, especially the opportunity to tackle within-subject antecedents, concomitants, and consequences of PA as they unfold in everyday life. In-depth insights on determinants of PA could help us design and deliver impactful interventions in real-world contexts, thus enabling us to solve critical health issues in the 21st century such as insufficient PA and high levels of sedentary behavior. (DIPF/Orig.) |
| Databáze: | OpenAIRE |
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