Meer, L.N.F. van (2019) Chronobiologische factoren, gemeten met actigrafie, als predictor voor de antidepressieve respons op klinische behandelingen voor de depressieve stoornis. thesis, Medicine.
Full text available on request.Abstract
Background: Depression is a common, debilitating and often chronic mood disorder, which causes great suffering and can decrease the ability to function at work or at home. Most patients do not experience a remission with the first treatment and as a result are left with a long trial-and-error approach to the treatment. This has given rise to the need for a practical biomarker to predict antidepressant response to treatment, so that the most effective treatment can be chosen sooner. There is increasing attention for the role of chronobiology in depression. With this study we want to investigate if chronobiological markers, e.g. non-parametric circadian variables, chronotype and sleep analysis, can predict antidepressant response to clinical treatment of depression. Materials and methods: In this longitudinal study chronobiological data was collected of four patients with a depressive episode before starting a treatment by means of actigraphy and questionnaires. The antidepressant response to the treatment was measured with the Inventory for Depressive Symptoms questionnaire four weeks after start. Sleep analysis and non-parametric analysis of the circadian rhythm were performed. Results: There was insufficient data to perform a quantitative analysis. With the chronobiological data, qualitative analysis of rest-activity rhythm of patients was possible. Deviating chronobiological measures were found in two patients. Conclusion: Chronobiological markers measured with actigraphy are useful to increase insight into the rest-activity rhythms of clinical patients. Further research with a larger sample is needed to determine whether these chronobiological markers could predict antidepressant response to clinical treatment of depression.
| Item Type: | Thesis (Thesis) |
|---|---|
| Supervisor name: | Afdeling: and Opname Depressie van het Universitair Centrum Psychiatrie in and Begeleider: and Haarman, Dr. B.C.M. |
| Faculty: | Medical Sciences |
| Date Deposited: | 25 Jun 2020 10:43 |
| Last Modified: | 25 Jun 2020 10:43 |
| URI: | https://umcg.studenttheses.ub.rug.nl/id/eprint/465 |
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