1
|
Sleep quality, valence, energetic arousal, and calmness as predictors of device-based measured physical activity during a three-week mHealth intervention. GERMAN JOURNAL OF EXERCISE AND SPORT RESEARCH 2022. [PMCID: PMC9008661 DOI: 10.1007/s12662-022-00809-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Physical inactivity is known to be a risk factor for several noncommunicable diseases and has a high prevalence in today’s society. Therefore, it is crucial to understand the psychological factors associated with physical activity (PA). Recent developments in the field of ambulatory assessment and technological advances are promising to enhance our understanding of this relationship by analyzing longitudinal data within- and between-persons. These analyses can reveal important factors to design behavior change interventions to enhance PA. Therefore, this study used an ecological momentary assessment during the 3‑week intervention period in the SMARTFAMILY2.0 trial and aimed to investigate whether valence, calmness, energetic arousal, and sleep quality predict daily steps and moderate to vigorous PA. Overall, 49 adults (35–60 years) and 40 children (5–19 years) were included in this analysis and self-rated their mental state within our smartphone application while also wearing a hip-worn accelerometer for 21 consecutive days (996 days included) during the intervention period. Multilevel analyses were conducted to predict daily PA while considering covariables (e.g., child/adult and non-wear time) both within- and between-persons. The results indicated that higher than average ratings of a person’s valence and energetic arousal on one day predicted increased PA while higher than average calmness predicted decreased PA at the same day within this person. Sleep quality and between-person effects of the affective states showed no clear associations to PA. Overall, these results showed that within-person associations of valence, calmness, and energetic arousal should be considered when designing PA interventions for both children and adults. The influence of sleep quality, as well as between-person effects, should be further explored by future studies.
Collapse
|
2
|
Reichert M, Giurgiu M, Koch E, Wieland LM, Lautenbach S, Neubauer AB, von Haaren-Mack B, Schilling R, Timm I, Notthoff N, Marzi I, Hill H, Brüβler S, Eckert T, Fiedler J, Burchartz A, Anedda B, Wunsch K, Gerber M, Jekauc D, Woll A, Dunton GF, Kanning M, Nigg CR, Ebner-Priemer U, Liao Y. Ambulatory Assessment for Physical Activity Research: State of the Science, Best Practices and Future Directions. PSYCHOLOGY OF SPORT AND EXERCISE 2020; 50:101742. [PMID: 32831643 PMCID: PMC7430559 DOI: 10.1016/j.psychsport.2020.101742] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
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 realtime, 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.
Collapse
Affiliation(s)
- Markus Reichert
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University; postal address: Central Institute of Mental Health (CIMH), Square J5, 68159 Mannheim, Baden-Wuerttemberg, Germany
| | - Marco Giurgiu
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University; postal address: Central Institute of Mental Health (CIMH), Square J5, 68159 Mannheim, Baden-Wuerttemberg, Germany
| | - Elena Koch
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Lena M. Wieland
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Sven Lautenbach
- Heidelberg Institute for Geoinformation Technology (HeiGIT) at Heidelberg University; postal address: Heidelberg Institute for Geoinformation Technology, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg, Baden-Wuerttemberg, Germany
| | - Andreas B. Neubauer
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education; postal address: Rostocker Straße 6, 60323 Frankfurt am Main, Hessen, Germany
- Center for Research on Individual Development and Adaptive Education of Children at Risk (IDeA); postal address: Rostocker Straße 6, 60323 Frankfurt am Main, Hessen, Germany
| | - Birte von Haaren-Mack
- Department of Health and Social Psychology, Institute of Psychology, German Sport University Cologne; postal address: Am Sportpark Muengersdorf 6, 50933 Cologne, North Rhine-Westphalia, Germany
| | - Renè Schilling
- Department of Sport, Exercise and Health, University of Basel, Postal address: Birsstrasse 320 B, 4052 Basel, Switzerland
| | - Irina Timm
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Nanna Notthoff
- Institute of Sport and Exercise Psychology, Department of Sports Science, Leipzig University; postal address: Jahnallee 59, 04109 Leipzig, Saxony, Germany
| | - Isabel Marzi
- Department of Sports Science and Sport, Friedrich-Alexander-University Erlangen-Nürnberg (FAU); postal address: Gebbertstrasse 123b, 91058 Erlangen, Bavaria, Germany
| | - Holger Hill
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Sarah Brüβler
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Tobias Eckert
- Departments of Preventive Medicine and Psychology, University of Southern California; postal address: 2001 N. Soto St., Los Angeles, CA, 90032, USA
| | - Janis Fiedler
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Alexander Burchartz
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Bastian Anedda
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Kathrin Wunsch
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Markus Gerber
- Department of Sport, Exercise and Health, University of Basel, Postal address: Birsstrasse 320 B, 4052 Basel, Switzerland
| | - Darko Jekauc
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Alexander Woll
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Genevieve F. Dunton
- Departments of Preventive Medicine and Psychology, University of Southern California; postal address: 2001 N. Soto St., Los Angeles, CA, 90032, USA
| | - Martina Kanning
- Department of Sport Science, Social and Health Sciences, University of Konstanz; postal address: Universitätsstraße 10, 78464 Konstanz, Baden-Wuerttemberg, Germany
| | - Claudio R. Nigg
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Ulrich Ebner-Priemer
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Yue Liao
- Department of Behavioral Science, University of Texas MD Anderson Cancer Center, postal address: 1515 Holcombe Blvd., Houston, Texas 77030, USA
| |
Collapse
|