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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.

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. [ABSTRACT FROM AUTHOR]

The objective of this study was to take a multi-domain approach to predict feelings of anxiety among graduate allied health students. Participants (n=77) from a small university in upstate New York completed a series of questionnaires [International Physical Activity Questionnaire-short form (IPAQ-SF), Rapid Eating Assessment of Participants-Short Form (REAP-S), Pittsburgh Sleep Quality Inventory (PSQI), Profile of Mood Survey-Short Form (POMS-SF), Trait and State Mental and Physical Energy and Fatigue Survey], and their resting metabolic rate, fat free mass and muscle oxygen saturation levels were measured. A backwards linear regression was used to identify predictors of anxiety. Our model predicted 28.1% of variance with women reporting greater feelings of anxiety. Poor sleep quality, increased sedentary behavior, and low trait physical energy were all significant predictors of increased feelings anxiety. Our results suggest that educators should attempt to reduce in class sitting time and promote better sleep hygiene. Additionally, researchers should examine barriers and burdens female students face that increase feelings of anxiety.