ArticleFrontiers in sports and active living2023
Device-based physical activity measures for population surveillance-issues of selection bias and reactivity.
Article in Frontiers in sports and active living, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Physical activity trajectories and accumulation over adulthood and their associations with all-cause and cause-specific mortality: a systematic review and meta-analysis.British journal of sports medicine · 2025Pooled it
- Isolating the role of researcher observation on reactivity to the measurement of physical activity.Applied psychology. Health and well-being · 2025Trial
- Hawthorne Effect in Screening Ambulatory Activity Status Using Wearable Pedometers Varies Across Age Groups.AJPM focus · 2026Article
- The physical activity health paradox: what is it, why might it happen, and where to go from here?The international journal of behavioral nutrition and physical activity · 2026Review
- Do adults with cardiovascular disease risk show meaningful reactivity to physical activity measurement? Coordinated analysis across six studies.British journal of health psychology · 2026Article
- Association between relative free-living sit-to-stand transition thigh angular velocities and difficulties in mobility and daily functioning.Aging clinical and experimental research · 2026Article
- Article
- Every move counts: but some more than others.The international journal of behavioral nutrition and physical activity · 2026Article
- Physical activity determinants, 24-h movement behaviors, and cardiovascular fitness in young adults: an integrated theoretical model perspective.Frontiers in psychology · 2026Article
- Article
- Socioeconomic inequalities in physical activity among children and adolescents in the UK and Ireland: a scoping review mapping evidence from 2015 to 2025.BMJ public health · 2026Article
- Article
- Validation and comparative study of the Motus system for accurately identifying movement behaviours using different sampling frequencies.Scientific reports · 2025Article
- Exercise That Feels as Good as Possible: Acceptability of an Affect-Based Exercise Prescription Among Stage 0-III Breast Cancer Survivors.Psycho-oncology · 2025Article
- Validity and Reliability of the 'Feelfit®' Accelerometer in Evaluating Physical Activity and Sedentary Time in Children: A Comparative Study with Two Different Accelerometers.International journal of exercise science · 2025Article
- Device-measured physical activity and sedentary time in the Nordic countries: A scoping review of population-based studies.Journal of sport and health science · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Device-based measurement in physical activity surveillance is increasing, but research design choices could increase the risk of self-selection bias and reactive behaviour. The aim of this study is to compare the self-reported physical activity profiles of four different samples: participants in a large national survey, participants in a telephone-based survey of non-responders, participants in the large national survey who accepted the invitation to device-based measuring, and the same sample during the week of monitoring. Methods: In October 2020, 163,133 Danish adults participated in a national survey and of those 39,480 signed up for device-based measurements. A balanced random sample ( Results: The participants in the national survey were older, more often female, and more often not working. Participants in the telephone-based survey were younger, more often doing unskilled work, and were more often active at home and at work. The participants in the device-based sample were more often active during transport and leisure in the national survey, and participants categorized in the most active category increased during the week of monitoring from 29.0% to 60.7% and from 58.5% to 81.7% for active transport and leisure activities, respectively. Conclusion: Recruiting a population representative sample for device-based measurement of physical activity is challenging, and there is a substantial risk of sample selection bias and measurement reactivity. Further research in this area is needed if device-based measures should be considered for population physical activity surveillance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.