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Cited by 50Physical Activity and HealthContext-Aware Activity Recognition SystemsAging and Gerontology Research

An exploratory study on the impact of daily activities on the pleasure and physical activity of older adults

Open access
Cabrita, Miriam, Lousberg, Richel, Tabak, Monique, Hermens, Hermie J., Vollenbroek-Hutten, Miriam M.R.·2017·European Review of Aging and Physical Activity
DOI 10.1186/s11556-016-0170-2PMC PMC5216572
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Abstract

BACKGROUND: Pleasure is one determinant of intrinsic motivation and yet a dimension often forgotten when promoting physical activity among the older population. In this study we investigate the relation between daily activities and physical activity, experience of pleasure, and the interaction between pleasure and physical activity in the daily lives of community-dwelling older adults. METHODS: Participants carried a hip-worn accelerometer during 30 consecutive days resulting in a total of 320 days of data collection. Current activity, location, companion and experience of pleasure during each activity were assessed through experience sampling on a smartphone every 1-2 h. Between- and within-individual differences were analysed with multi-level models and 10xN = 1 regression analysis. RESULTS: < 0.001). However, when performing basic activities of daily living (e.g. commuting or households) this relation was inverted. Results provide meaningful indication for individual variance. The 30 days of data collected from each participant allow for identification of individual differences. CONCLUSIONS: Daily activities and their contexts do influence the experience of pleasure and physical activity of older adults in daily life of older adults, although similar research with larger population is recommended. Results are in accordance with the literature, indicating that the method adopted (accelerometry combined with experience sampling) provides reliable representation of daily life. Identification of individual differences can eventually be automatically performed through data mining techniques. Further research could look at innovative approaches to promote Active Ageing using mobile technology in the daily life, by promoting physical activity through recommendation of pleasurable activities, and thus likely to increase the intrinsic motivation to become physically active.

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  • Older adults are more likely to be at home more often than young adults.

    “First, unlike the young adults, older adults are more likely to be at home more often [14, 50].”

    From Screen or No Screen? Lessons Learnt from a Real-World Deployment Study of Using Voice Assistants With and Without Touchscreen for Older Adults (2023) · cites this paper as [14]

    The Discussion says older adults spend most of their time at home, and the study reports that 72.5% of participants’ activities occurred there. But the study included only older adults and provides no comparison with young adults, so it does not support the comparative part of the claim. (LLM, conf=0.85)

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References 42 · Cited by 50

Research works printed but not linked: 27

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Authors
Cabrita, M., Lousberg, R., Tabak, M., Hermens, H. J., & Vollenbroek-Hutten, M. M. R.
Affiliations
  • Roessingh Research and Development (NL)
  • Maastricht University (NL)
  • University of Twente (NL)
Corresponding author
Cabrita, Miriam
ORCID
Venue
European Review of Aging and Physical Activity
Publisher
Springer Science and Business Media LLC
Published
2017-01-06
Volume
14
Issue
1
Pages
1-1
ISSN
  • 1813-7253 (ISSN-L)
  • 1861-6909
DOI
10.1186/s11556-016-0170-2
PMC
PMC5216572
OpenAlex
W2570882314
Cited by
50
References
42
Citations by year
2026: 3 · 2025: 6 · 2024: 9 · 2023: 5 · 2022: 3 · 2021: 8 · 2020: 11 · 2019: 3 · 2018: 1 · 2017: 1
FWCI
3.24
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • European Review of Aging and Physical Activity (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, cc-by)
  • University of Twente Research Information (publishedVersion, other-oa)
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
  • University of Twente Research Information (submittedVersion, other-oa)
Funders
Seventh Framework Programme (BE) (FP7-ICT-610359)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
Keywords
older adults, physical activity, pleasure, daily activities, intrinsic motivation, activities of daily living, accelerometer, ecological momentary assessment, individual differences, active ageing, mobile technology, community-dwelling older adults

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