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[Relationship of depression and anxiety with social desirability in chronic pain patients]
F L Komarahadi1, C Maurischat, M Härter
1Abteilung für Rehabilitationspsychologie, Institut für Psychologie der Universität Freiburg. fely_komarahadi@psyallg.ukl.uni-freiburg.de
Objective:
This study examines the extent of self-reported pain and psychological distress in chronic pain patients and the influence of social desirability on the data collected.
Methods:
In a cross-sectional multi-center study with 494 chronic pain patients, a pain questionnaire was used similar to the German Federal Health Survey of 1998. Depression and anxiety were measured with the German version of the Hospital Anxiety and Depression Scale (HADS-D) and social desirability with the German Marlowe-Crowne short scale for the measurement of social desirability (KS-SE).
Results:
Chronic pain patients reported stronger and more frequent pain, as well as higher psychological distress than the general population of Germany. Of the patients, 36.4% showed depression (HADS-D/D >or =9) and 31.4% anxiety (HADS-D/A > or =11). Depressed/anxious patients stated pain intensities higher than non-depressed/non-anxious patients. In all, 48.4% of the patients achieved social desirability levels in the marked or moderate range. There were positive correlations for social desirability with self-reported pain and the use of therapy, as well as age. A negative correlation was found between anxiety and social desirability, while for depression this interaction appeared only after partial correlation analysis with control of pain and therapy variables.
Conclusions:
Both psychological distress and social desirability are common in chronic pain patients. Patients with high scores for social desirability reveal less depression and anxiety. The psychological distress caused by pain seems to be expressed by somatic complaints and therapy seeking. Since pain research is strongly dependent on the patient's self-report, social desirability should be considered as a factor which may impact measurements and decisions.
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