Distinct subgroups derived by cluster analysis based on pain characteristics and anxiety-depression symptoms in Swedish older adults with chronic pain (PainS65+) - 13/04/16
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Riassunto |
Introduction |
There is a lack of research on subtypes of chronic pain (CP) characteristics in the elderly.
Objective |
To scrutinize major subgroups based on pain aspects and psychological factors on an elderly population.
Aims |
To determine possible differences between the derived subgroups with respect to pain aspects and anxiety-depression symptoms, health aspects and health care costs.
Methods |
A cross-sectional study was implemented. A large sample of 2300 individuals (M=75.9 years, SD=7.4) participated. Self-reported postal measurements regarding pain intensity, spreading of pain, anxiety and depression (General well-being schedule [GWBS]), and pain catastrophizing [PCS]) were used as classification variables. A two-step cluster analysis was employed. We further investigated whether the derived subgroups experienced different quality of life and general health. Calculations regarding health care costs were also performed.
Results |
Two major subgroups were identified: one low symptom severity subgroup (Cluster 1; n=1326; 58%) and one high symptom severity subgroup (Cluster 2; n=974; 42%). There were statistical significant differences on pain intensity, spreading of pain, anxiety, depression and pain catastrophizing between the two subgroups (P<0.001). Significant lower levels for quality of life and general health (P<0.001) were found for the high symptom severity subgroup. Health care costs in the high symptom severity subgroup were significantly higher than those of the low symptom severity subgroup (P<0.001).
Conclusions |
Our findings exhibit the necessity for subgroup-specific treatment services for improving pain management and reducing health care costs in the elderly.
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Vol 33 - N° S
P. S501 - marzo 2016 Ritorno al numero
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