Examining a Fatigue Management Model in Older Individuals

Abstract Purpose The aim of this study was to examine a fatigue model for older individuals based on the theory of unpleasant symptoms. Research Design The research design used was a secondary data analysis of the “Patient-Reported Outcomes Measurement Information System Profiles–Health Utilities Index” data set. Methods Multiple regression analysis and path analyses were used to examine hypothesized model paths. Results A number of comorbidities, pain, sleep, depression, anxiety, education, and sensory impairment were significant predictors of fatigue. Higher fatigue scores predicted lower physical, social, and cognitive performances, as well as worse perceived health and quality of life (QOL). In addition, the identified fatigue outcomes mediated the relationship between fatigue and QOL. Conclusions Future research should be directed toward exploring other risk factors of fatigue and examining feedback loops depicted in the theory of unpleasant symptoms. Clinical Relevance to the Practice of Rehabilitation Nursing Rehabilitation nurses should closely monitor and manage the identified fatigue-influencing factors to improve older individuals’ performance, perceived health, and QOL.