Toy or tool? Activity trackers for the assessment of physical activity in the wild

Meyer, Jochen; Holdt, Kai von; Beck, Elke; Brandes, Mirko; Pischke, Claudia R.; Voelcker‐Rehage, Claudia

doi:10.1109/ichi.2019.8904584

Cited by 6 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is still a need for further research to discuss the association between enrollment criteria and homogeneity of the study sample, as well as how enrollment criteria might affect study dropout. Former analyses confirmed that the study participants were prone to overestimating their levels of physical activity (Meyer et al, 2019). Thus, the validity of self-reported physical activity is discussed in general (Lee et al, 2011; Panter et al, 2012), and the data presented in this study require careful interpretation.…”

Section: Discussionmentioning

confidence: 82%

Health-related lifestyle and dropout from a web-based physical activity intervention trial in older adults: A latent profile analysis.

Ratz¹,

Voelcker‐Rehage²,

Pischke³

et al. 2021

Health Psychology

Self Cite

View full text Add to dashboard Cite

Objective: Selective study dropout limits manifestation and detection of intervention effects and is a major challenge in behavioral intervention studies. Engaging in health-risk behaviors might make individuals especially dropout-vulnerable. Thus, this theory-based study's aim was to identify health-related lifestyle profiles affecting dropout in a web-based physical activity intervention trial targeting older adults. Method: The 12week intervention trial was conducted between 2016 and 2018 in Germany. Baseline lifestyle profiles consisting of self-reported physical activity, sedentary behavior, alcohol consumption, fruit and vegetable intake, nocturnal sleep, and social activity were assessed with questionnaires and investigated in 589 individuals. The risk of study dropout related to health-related lifestyle profile was tested with Poisson regression in 571 individuals (96.9%). Results: Latent profile analysis identified four latent health-related lifestyle profiles: socially inactive (n = 23, 3.9%), slightly unhealthy (n = 449, 75.2%), health-promoting (n = 81, 13.8%), and highly physically active lifestyle (n = 36, 6.1%). Profiles differed significantly by sex, stage of behavior change, and subjective health. Compared with the average of all profiles, statistically significant study dropout adjusted risk ratios (aRR) were 1.91 for the socially inactive lifestyle, and aRR = 0.73 for the slightly unhealthy lifestyle. There were no statistically significant effects for the highly physically active lifestyle (aRR = 0.94) and the healthpromoting lifestyle (aRR = 0.76) on study dropout. Conclusions: This study highlights the relevance of accounting for the correlation between health-related lifestyle profiles and study participation of older adults in physical activity interventions.

show abstract

Section: Discussionmentioning

confidence: 82%

Health-related lifestyle and dropout from a web-based physical activity intervention trial in older adults: A latent profile analysis.

Ratz¹,

Voelcker‐Rehage²,

Pischke³

et al. 2021

Health Psychology

Self Cite

View full text Add to dashboard Cite

show abstract

“…Participants were asked to wear this device as often as possible. Fitbit devices have been validated for use in community-dwelling older adults [ 69 , 70 , 71 ], and Fitbits have been shown to deliver data that are considerably better than subjective measures, close to that of the “gold standard” of ActiGraph [ 72 ]. Participants in the IG and AG received individualized printed or web-based brochures outlining exercises of different difficulty levels and different for men and women; the levels of the exercises were chosen based on their pre-test performance in PROMOTE I, and in PROMOTE II, participants were free to choose which level to perform based on their own fitness.…”

Section: Methodsmentioning

confidence: 99%

Impact of Activity Tracker Usage in Combination with a Physical Activity Intervention on Physical and Cognitive Parameters in Healthy Adults Aged 60+: A Randomized Controlled Trial

Auerswald

Hendker

Ratz

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

Regular physical activity (PA) is of central importance for healthy aging and has a well-known impact on helping older adults maintain their cognitive and physical health. Thus, we aimed to compare the effectiveness of two physical activity interventions primarily conducted at home (print-based or web-based vs. web-based plus the use of an activity tracker) on cognitive and physical health parameters in older adults. Data of participants (n = 551, 60–80 years) were analyzed after being randomly allocated to a waitlist control group (CG), a web-based or print-based intervention group (IG) or a web-based intervention group that also included the use of an activity tracker (AG). Measured parameters were grip strength, endurance (two-minute step test), gait speed (four-meter walk test), cognition (Simon task; balanced integration score (BIS), reaction time and accuracy) and physical self-concept (Physical Self-Description Questionnaire (PSDQ)). We found the highest effect sizes in all measured dimensions for AG (grip strength, endurance, gait speed, reaction time, physical self-concept), followed by IG (endurance, gait speed, reaction time, physical self-concept) and CG (endurance, gait speed, BIS). Findings suggest that a combined web-based and activity tracker intervention may improve physical functions, physical self-concept, and cognition in community-dwelling older adults.

show abstract

“…Step counts are the primary measure of activity trackers. In this context, it has been shown that Fitbit delivers data that are by far better than subjective measures and close to that of the “gold standard” of ActiGraph [ 50 ].…”

Section: Methodsmentioning

confidence: 99%

“…Sedentary minutes were determined as periods of at least 20 min with three or less steps per minute [ 50 ]. The “ longest zero ” describes the longest uninterrupted period of the day at which zero steps were taken.…”

Section: Methodsmentioning

confidence: 99%

Application of Activity Trackers among Nursing Home Residents—A Pilot and Feasibility Study on Physical Activity Behavior, Usage Behavior, Acceptance, Usability and Motivational Impact

Auerswald

Meyer

Holdt

et al. 2020

IJERPH

Self Cite

View full text Add to dashboard Cite

The aim of this study was to assess physical activity and sedentary behavior, as well as the usage behavior, usability, acceptance, and motivational impact of an applied activity tracker among nursing home residents. Physical activity and usage behavior were measured among 22 residents (68 to 102 years) by use of a commercial activity tracker worn during waking hours for 77 days on average. Usability, acceptance, and motivational impact of the tracker were examined using an adapted questionnaire. Participants walked, on average, 1007 ± 806 steps per day and spent, on average, more than 9 h (77.2% of their waking time) sedentary. The average steps/day increased significantly within the first five weeks of wearing the activity tracker. The acceptance rate was high (94.4%). The tracker was used for 65.4% of the individual study period, and usage behavior did not significantly change during the first five wearing weeks. Participants with a usage time of ≥50% walked significantly more steps per day than those with a lower usage. Overall, we were able to reveal that the residents were highly inactive and sedentary. The results support the feasibility of a long-term application of activity trackers to assess or even increase physical activity behavior.

show abstract

Toy or tool? Activity trackers for the assessment of physical activity in the wild

Cited by 6 publications

References 18 publications

Health-related lifestyle and dropout from a web-based physical activity intervention trial in older adults: A latent profile analysis.

Health-related lifestyle and dropout from a web-based physical activity intervention trial in older adults: A latent profile analysis.

Impact of Activity Tracker Usage in Combination with a Physical Activity Intervention on Physical and Cognitive Parameters in Healthy Adults Aged 60+: A Randomized Controlled Trial

Application of Activity Trackers among Nursing Home Residents—A Pilot and Feasibility Study on Physical Activity Behavior, Usage Behavior, Acceptance, Usability and Motivational Impact

Contact Info

Product

Resources

About