The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
An intervention study to assess potential effect and user experience of an mHealth intervention to reduce sedentary behaviour among older office workers
Open accessAbstract
Background: Office workers spend a high percentage of their time sitting, often in long periods of time. Research suggests that it is healthier to break these long bouts into shorter periods by being physically active. Objective: We evaluated the effect of a context-aware activity coach, called the PEARL app, an mHealth intervention that provides activity suggestions, based on a physical activity prediction model, consisting of past and current physical activity and digital agendas. Method: Fifteen office workers, aged 50+, participated in an intervention study in which they used the intervention for 1 week, preceded by a 1-week baseline period. Measurements were taken before and after the intervention period. Results: 107 days of data from 14 participants were analysed. Total sedentary time was not reduced as a result of using the intervention (baseline vs intervention: 47.8±3.6 vs 46.8±3.0, n.s.). When using the intervention, participants reduced their total time spent in long sitting bouts (≥45 min) from 19.3 to 14.4 min per hour of wear time (p<0.05). Participants indicated that the main value of the intervention lies in creating awareness about their personal sedentary behaviour pattern. Conclusion: An mHealth service has the potential to improve the sedentary behaviour of older office workers, especially for breaking up long sedentary periods. Focusing on total sedentary time as an outcome of an intervention, aimed at reducing sedentary behaviour, is too simplistic. One should take into account both the duration and the number of bouts when determining the effect.
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Two studies indicated limited effectiveness, as only short-term effects could be shown or effects could only be shown for long-term sitting.
“while two indicated limited effectiveness, as only short-term effects could be shown or effects could only be shown for long-term sitting [41, 48].”
From Advantages and disadvantages of mobile applications for workplace health promotion: A scoping review (2024) · cites this paper as [48]
Privacy concerns, anonymity and security issues were raised.
“Apart from technical and usability issues, privacy concerns, anonymity and security issues also were raised [9, 38, 48, 55, 56].”
From Advantages and disadvantages of mobile applications for workplace health promotion: A scoping review (2024) · cites this paper as [48]
The Results > User experience passage lists complaints about suggestion timing, sensor size and lost wireless connections, but does not report privacy, anonymity or security concerns. Searches for those terms and for confidentiality or data protection found no passage addressing the claim; the indexed passages provide no page numbers. (LLM, conf=0.76)
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Advantages and disadvantages of mobile applications for workplace health promotion: A scoping review
Junker, M., Böhm, M., & Krcmar, H. (2024) · PLoS ONE · doi:10.1371/journal.pone.0296212 · Cited by 21
Metadata
- Authors
- Boerema, S., van Velsen, L., & Hermens, H.
- Affiliations
- Roessingh Research and Development (NL)
- Corresponding author
- van Velsen, Lex
- Venue
- BMJ Health & Care Informatics
- Publisher
- BMJ
- Published
- 2019-11
- Volume
- 26
- Issue
- 1
- Pages
- e100014
- ISSN
- 2632-1009 (ISSN-L)
- PMC
- PMC7253002
- OpenAlex
- W2990101639
- Cited by
- 13
- References
- 5
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 2 · 2021: 2 · 2020: 1
- FWCI
- 0.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ Health & Care Informatics (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- University of Twente Research Information (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- University of Twente Research Information (submittedVersion, cc-by-nc)
- Funders
- Active Assisted Living Programme (AAL-2013-6-091)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- sedentary behavior, mobile health intervention, user experience
- MeSH terms
- Sitting Position, Female, Health Promotion, Humans, Male, Middle Aged, Netherlands, Time Factors, Exercise, Occupational Health, Workplace, Telemedicine, Sedentary Behavior, Mobile Applications
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