| Title |
Physical Behavior Profiles in Chronic Cancer-Related Fatigue
|
|---|---|
| Published in |
International Journal of Behavioral Medicine, July 2017
|
| DOI | 10.1007/s12529-017-9670-3 |
| Pubmed ID | |
| Authors |
M. D. J. Wolvers, J. B. J. Bussmann, F. Z. Bruggeman-Everts, S. T. Boerema, R. van de Schoot, M. M. R. Vollenbroek-Hutten |
| Abstract |
Increasing physical activity level is a generally effective intervention goal for patients who suffer from chronic cancer-related fatigue (CCRF). However, patients are unlikely to benefit equally from these interventions, as their behavioral starting points might vary substantially. Therefore, we explored patterns of physical behavior of participants who suffer from CCRF. Baseline data of a randomized controlled trial were used for a latent profile analysis on nine accelerometer-derived physical behavior measures, describing levels and patterns of physical activity, moderate-to-vigorous intensity physical activity (MVPA), and sedentary behavior. The relation between participant characteristics and the latent profiles was analyzed. Accelerometer data of 172 participants from the Netherlands was analyzed. Three latent profiles were distinguished that differed most on physical activity level and total time spent in MVPA. Eighty-eight percent of all participants were assigned to a profile with a probability higher than 8. Age and perceiving limitations by comorbid conditions and pain were significant covariates of profile membership. We distinguished three physical behavior profiles. The differences between the patterns indicate that the heterogeneity of this sample requires patients to have substantially different treatment goals. Further research should test the applicability of these profiles in clinical practice. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Unknown | 121 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 16% |
| Student > Master | 15 | 12% |
| Student > Bachelor | 15 | 12% |
| Student > Doctoral Student | 8 | 7% |
| Researcher | 7 | 6% |
| Other | 19 | 16% |
| Unknown | 38 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 21 | 17% |
| Medicine and Dentistry | 20 | 16% |
| Psychology | 11 | 9% |
| Sports and Recreations | 10 | 8% |
| Unspecified | 6 | 5% |
| Other | 12 | 10% |
| Unknown | 42 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 September 2017.
All research outputs
#17,158,136
of 25,205,864 outputs
Outputs from International Journal of Behavioral Medicine
#745
of 1,007 outputs
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#204,147
of 318,251 outputs
Outputs of similar age from International Journal of Behavioral Medicine
#14
of 19 outputs
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