Can we identify who will adhere to long-term physical activity? Signal detection methodology as a potential aid to clinical decision making.
Abstract
Signal detection methodology was used to identify the best combination of predictors of long-term exercise adherence in 269 healthy, initially sedentary adults ages 50-65 years. Less educated individuals who were assigned to supervised home-based exercise of either higher or lower intensity and who were less stressed and less fit at baseline than other individuals had the greatest probability of successful adherence by the 2nd year. Overweight individuals assigned to a group-based exercise program were the least likely to be successful 2 years later. Predictors of short-term (1-year) adherence were generally similar to predictors of 2-year adherence. Signal detection analysis may be useful for identifying subgroups of people at risk for underadherence who subsequently might be targeted for intervention.
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Incomplete or inconsistent information about baseline physical activity levels may have influenced the review's results.
“Since physically active persons in general are better able to comply with physical activity interventions and maintain a healthy lifestyle than sedentary persons [49-51], incomplete or inconsistent information about baseline physical activity levels may have influenced our results.”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [49]
Physically active persons in general are better able to comply with physical activity interventions and maintain a healthy lifestyle than sedentary persons.
“Since physically active persons in general are better able to comply with physical activity interventions and maintain a healthy lifestyle than sedentary persons [49-51]”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [49]
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Davis, R. E., Resnicow, K., Atienza, A. A., Peterson, K. E., Domas, A., Hunt, A., Hurley, T. G., Yaroch, A. L., Greene, G. W., Sher, T. G., et al. (2008) · Journal of Nutrition · doi:10.1093/jn/138.1.205s · Cited by 9 · see citing works
van Baak, M. A., & Saris, W. H. M. (2005) · doi:10.1002/9780470987087.ch24 · Cited by 9 · see citing works
How to work out and avoid procrastination: The role of goal focus
Kaftan, O. J., & Freund, A. M. (2019) · Journal of Applied Social Psychology · doi:10.1111/jasp.12646 · Cited by 8 · see citing works
Exploring Physical Activity Preferences
King, A. C., & Wilcox, S. (2008) · Annals of Behavioral Medicine · doi:10.1007/s12160-007-9012-9 · Cited by 8 · see citing works
Self-citation
- Authors
- King, A. C., Kiernan, M., Oman, R. F., Kraemer, H. C., Hull, M., & Ahn, D.
- Affiliations
- Stanford Medicine (US)
- Venue
- Health Psychology
- Published
- 1997
- Volume
- 16
- Issue
- 4
- Pages
- 380-389
- ISSN
- 0278-6133 (ISSN-L)
- 1930-7810
- OpenAlex
- W2008182485
- Cited by
- 168
- References
- 0
- Citations by year
- 2025: 8 · 2024: 4 · 2023: 1 · 2022: 2 · 2021: 3 · 2020: 2 · 2019: 3 · 2018: 3 · 2016: 7 · 2015: 7 · 2014: 6 · 2013: 6 · 2012: 4
- FWCI
- 2.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Psychology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (2k01ag000440-04, 2r01hl036272-04)
- National Institute on Aging (AG-00440, AG-12358)
- National Heart, Lung, and Blood Institute (HL 36272)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Psychology › Social Psychology › Motivation and Self-Concept in Sports
- Keywords
- exercise adherence, long-term physical activity, signal detection analysis, predictors of adherence, older adults, group exercise, overweight, stress, educational attainment, clinical decision-making, intervention targeting
- MeSH terms
- Aged, Decision Support Techniques, Exercise Therapy, Female, Follow-Up Studies, Humans, Male, Middle Aged, Patient Compliance, Physical Fitness, Health Behavior, Treatment Outcome, Signal Detection, Psychological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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