Citation

Shim EJ, Noh HL, Yoon J, Sol Mun H, Hahm BJ. J. Am. Coll. Health 2019; 67(1): 51-58.

Affiliation

Department of Psychiatry and Behavioral Science , Seoul National University College of Medicine , Seoul , Korea.

Copyright

(Copyright © 2019, Informa - Taylor and Francis Group)

DOI

10.1080/07448481.2018.1462819

PMID

29652615

Abstract

OBJECTIVE: To examine the longitudinal trajectory of daytime dysfunction (DD) and its relationship with fatigue by depression status in university students. PARTICIPANTS: 243 students completed online surveys from September- December 2016.

METHODS: Surveys were conducted at three time points over a semester period: the beginning of the semester, the end of mid-term and the end of the semester.

RESULTS: Results indicated that the DD significantly increased in all students over the semester. Students with depression showed a higher initial level of DD and faster rate of change compared to those without depression. A faster rate of change of DD predicted a higher level of end-semester fatigue.

CONCLUSIONS: Depression is related to a higher initial level of DD and its faster rate change which in turn, predicted end-semester fatigue, identifying one of the possible pathways through which depression impacts the functioning and health of affected students.

Language: en

Keywords

Depression; daytime dysfunction; fatigue; sleep