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Sleep Disord. 2016;2016:8378423. doi: 10.1155/2016/8378423. Epub 2016 Jan 18.

Poor Sleep in Multiple Sclerosis Correlates with Beck Depression Inventory Values, but Not with Polysomnographic Data.

Author information

1
Interdisciplinary Center of Sleep Medicine, Charité University Medicine Berlin, Charitéplatz 1, 10117 Berlin, Germany.
2
NeuroCure Clinical Research Center, Charité University Medicine Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Neurology, St. Joseph Hospital Berlin-Weissensee, 13088 Berlin, Germany.
3
NeuroCure Clinical Research Center, Charité University Medicine Berlin, Charitéplatz 1, 10117 Berlin, Germany.
4
CRO SOSTANA GmbH and Charité University Medicine Berlin, Wildensteiner Straße 27, 10318 Berlin, Germany.
5
NeuroCure Clinical Research Center, Charité University Medicine Berlin, Charitéplatz 1, 10117 Berlin, Germany; Clinical and Experimental Multiple Sclerosis Research Center, Department of Neurology, Charité University Medicine Berlin, 10117 Berlin, Germany; Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité University Medicine Berlin, 13125 Berlin, Germany.

Abstract

OBJECTIVES:

Pittsburgh Sleep Quality Index (PSQI) values correlate with depression, but studies investigating the relationship between PSQI values and polysomnographic (PSG) data showed inconsistent findings.

METHODS:

Sixty-five consecutive patients with multiple sclerosis (MS) were retrospectively classified as "good sleepers" (GS) (PSQI ≤ 5) and "poor sleepers" (PS) (PSQI > 5). The PSG data and the values of the Visual Analog Scale (VAS) of fatigue, Modified Fatigue Impact Scale (MFIS), Fatigue Severity Scale (FSS), Epworth Sleepiness Scale (ESS), and the Beck Depression Inventory (BDI) were compared.

RESULTS:

No significant differences were found either for PSG data or for ESS, MFIS, and FSS values; but PS showed significantly increased BDI and VAS values.

CONCLUSIONS:

Poor sleep is associated with increased depression and fatigue scale values.

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