| Title |
Do Personalized Feedback Messages about Activity Patterns Stimulate Patients with Chronic Low Back Pain to Change their Activity Behavior on a Short Term Notice?
|
|---|---|
| Published in |
Applied Psychophysiology and Biofeedback, February 2012
|
| DOI | 10.1007/s10484-012-9181-6 |
| Pubmed ID | |
| Authors |
Marit G. H. Dekker- van Weering, Miriam M. R. Vollenbroek-Hutten, Hermie J. Hermens |
| Abstract |
The aim of this study was to explore whether patients responded to personalized messages on top of continuous visual feedback by changes in activity patterns and whether this response is related to the stages of change and the pain intensity levels. Patients wore a movement sensor and a PDA for 2 weeks and received continuously feedback and time-related messages to influence activity behavior. The response was calculated by calculating the activity 30 min before and after a message. In addition, the readiness to change was measured with the Stage of Change questionnaire and pain intensity was measured on a visual analogue scale. Sixteen patients participated, receiving a total of 517 messages. Overall, patients responded to personalized messages (p < .049), with a higher response in the morning. Patients in different stages of change responded differently to the messages (p = .009) and the response was significantly related to the pain intensity levels (Pearson correlation -.226) in the second week of feedback. This study suggests that personalized messages have the potential to influence activity behavior. It seems relevant to take time of the day, the stages of change and pain intensity levels of the patient into account to further optimize the feedback strategy used. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| Netherlands | 2 | 3% |
| South Africa | 1 | 1% |
| Unknown | 62 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 22% |
| Student > Ph. D. Student | 14 | 21% |
| Student > Doctoral Student | 5 | 7% |
| Student > Postgraduate | 4 | 6% |
| Professor | 4 | 6% |
| Other | 16 | 24% |
| Unknown | 10 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 15% |
| Nursing and Health Professions | 8 | 12% |
| Psychology | 8 | 12% |
| Engineering | 6 | 9% |
| Sports and Recreations | 6 | 9% |
| Other | 16 | 24% |
| Unknown | 14 | 21% |
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 03 September 2012.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Applied Psychophysiology and Biofeedback
#243
of 355 outputs
Outputs of similar age
#168,907
of 252,650 outputs
Outputs of similar age from Applied Psychophysiology and Biofeedback
#3
of 7 outputs
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