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Correlates of depressive mood among graduate-level allied health students: An exploratory study examining trait energy and fatigue.
Boolani, Ali; Yager, Chelsea; Reid, Jeri; Lackman, Jeremy; Smith, Matthew Lee.
Affiliation
  • Boolani A; Department of Physical Therapy, Clarkson University, Potsdam, New York, USA.
  • Yager C; Department of Neurology, St. Joseph's Hospital, Syracuse, New York, USA.
  • Reid J; Department of Neurology, St. Joseph's Hospital, Syracuse, New York, USA.
  • Lackman J; Department of Health and Physical Education, Monmouth University, West Long Branch, New Jersey, USA.
  • Smith ML; Center for Population Health and Aging, Texas A&M University, College Station, Texas, USA.
J Am Coll Health ; 71(6): 1685-1695, 2023.
Article in En | MEDLINE | ID: mdl-34379564
Objective: The objective of this study was to identify factors associated with the occurrence and severity of depressive mood states among graduate-level allied health students. Participants: Students (N = 77) completed this study. Methods: Participants completed a series of self-reported surveys measuring moods, lifestyle behaviors, trait mental and physical energy and fatigue, and objective assessments of Trail-Making Test Part-B, and muscle oxygen consumption. Multiple backwards linear regression models were fitted to identify factors associated with depressive mood states. Results: When accounting for all subjects, increased severity of depressive mood states was associated with worse sleep quality (SQ), increased sitting time (ST), and trait physical fatigue (TPF). When examining subjects reporting depressive mood states, increased severity of depressive mood states was associated with worse SQ, increased ST, decreased mental workload on non-school days, and trait physical energy (TPE). Conclusion: Adjustments in lifestyle factors such as sleep, mental workload, and ST, may ameliorate depressive mood states.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Am Coll Health Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Am Coll Health Year: 2023 Document type: Article Affiliation country: Country of publication: