|
Four clusters of rough user patterns. |
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| Whole set |
Cluster A |
Cluster C |
Cluster B |
Cluster D |
|
|
|
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| Number of participants |
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|
|
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| n = 38 |
n = 24 |
n = 7 |
n = 5 |
n = 2 |
|
|
|
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| CAM categories |
Average number of treatments per category |
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|
|
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| Alternative medical systems |
0.3 |
0.0 |
0.6 |
1.0 |
0.0 |
| Biologically-based therapies |
3.0 |
1.1 |
6.1 |
1.0 |
20.0 |
| Energy therapies |
0.9 |
0.6 |
1.4 |
0.2 |
5.0 |
| Manipulative &body-based therapies |
0.4 |
0.1 |
1.3 |
0.2 |
1.0 |
| Mind-body interventions |
1.3 |
0.7 |
3.0 |
1.4 |
3.0 |
| Spiritual/Health literature |
0.8 |
0.8 |
0.9 |
0.2 |
2.0 |
| Treatment centers |
0.5 |
0.2 |
1.3 |
1.0 |
0.5 |
| PC1 |
0.0 |
-1.0 |
2.3 |
0.1 |
3.7 |
| PC2 |
0.0 |
0.4 |
-0.7 |
-1.9 |
3.0 |
| Representative participant |
Karolina |
Andrea |
Sarah |
Ellen |
Peter, Victor |
|
The table shows number of participants, number of average treatments per category, average value for PCs, and participants with close to average user profile for the whole data set and for the four clusters A-D. | |||||
Hök et al. BMC Complementary and Alternative Medicine 2008 8:48 doi:10.1186/1472-6882-8-48 |
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