Martini, L. (Luiza) (2017) Comorbidity of Chronic Back Pain and Depression in the General Population in "Germany Results of the National Telephone Health Interview Survey German:Health Update (GEDA)" 2009 and 2010. thesis, Medicine.
Full text available on request.Abstract
Background: Depression and chronic back pain are two common, disabling diseases. Studies suggest a significant association of both conditions. Research Question: The study aimed to determine sex- and age-specific prevalence for depression, chronic back pain and the combination of both diseases and to analyse influencing factors and resulting consequences. Methods: Data (n = 43312) was derived from the representative cross-sectional telephone survey “German Health Update (GEDA)”. Information on chronic somatic diseases including diagnosed depression and chronic back pain was available for adults in private households. Age- and sex-specific prevalence of depression and chronic back pain was calculated. Logistic regression was used to examine the association between chronic back pain and depression and identify influencing factors. Sick days, missed workdays and doctor visits were compared for single disease vs. comorbidity. Results: 12-month prevalence for diagnosed depression was 6.7%, chronic back pain was 21.1% and the comorbidity of both was 3.0%. An association of depression and chronic back pain was found for both sexes and all age groups. The characteristics female sex, being 50-64 years of age, low socioeconomic status and low social support increased the likelihood of comorbid depression and chronic back pain. Comorbid depression and chronic back pain increased the number of sick days, missed workdays and doctor visits significantly. Conclusion: The results show a strong association of depression and chronic back pain. The direction of association cannot be determined due to the cross-sectional design of the study, but research suggest a reciprocal association. The identified risk factors for comorbid depression and chronic back pain could help identify patients early on and might improve treatment and reduce the economic impact.
| Item Type: | Thesis (Thesis) |
|---|---|
| Supervisor name: | Faculty Supervisor: and Winter, Dr. Andrea de UMCG |
| Supervisor name: | Second Supervisor: and Hoffmann Prof. Falk, University Oldenburg and Fakultät für Medizin und Gesundheitswissenschaften Oldenburg and Department für Versorgungsforschung |
| Faculty: | Medical Sciences |
| Date Deposited: | 25 Jun 2020 10:45 |
| Last Modified: | 25 Jun 2020 10:45 |
| URI: | https://umcg.studenttheses.ub.rug.nl/id/eprint/635 |
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