An exploratory multivariate study examining correlates of trait mental and physical fatigue and energy

ABSTRACT

Background: Mental and physical energy and fatigue can be assessed as either stable long-term traits or as a temporary state. Although researchers recognize the need to separate the two, most research has focused on state, leaving trait understudied. Therefore, the objective of this study was to apply demographic, lifestyle and psychosocial variables known to be associated with state fatigue and energy to examine predictors of trait mental and physical energy and fatigue.

Methods: A convenience sample (N = 671) completed an online survey measuring mood, physical activity, mental workload, polyphenol (plant-based healthy micronutrients) consumption in the diet, and sleep quality. A multivariate multiple regression model was fit to simultaneously test associations between covariates for each four trait fatigue indicators.

Results: Poor sleep quality was the only consistent predictor of both energy and fatigue (mental and physical), with confusion correlating with all but physical energy. Age and depression were predictors of mental and physical fatigue, but caffeine consumption was predicted by higher physical fatigue only. Mental workload and physical activity on off-days predicted physical energy only, while polyphenol consumption and BMI predicted mental energy only.

Conclusions: Findings suggest that mental/ physical energy and fatigue may be separate constructs that can be treated as empirically distinct. The distinctions between physical and mental fatigue are less pronounced, needing further exploration. Subsequent research should explore other potentially important biopsychosocial sources of variation in trait mental and physical energy and fatigue.

KEYWORDS:

• Trait mental energy
• trait mental fatigue
• trait physical energy
• trait physical fatigue
• POMS
• sleep quality

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Ali Boolani

Ali Boolani is an Assistant Professor at Clarkson University. His work research focuses on moods as they relate to human movement, lifestyle factors and physiological function.

Matt Manierre

Matt Manierre is Assistant Professor of Sociology in Clarkson University’s Department of Humanities and Social Sciences. His areas of interest revolve around data analysis, social gerontology, and health disparities.