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Multidimensional Predictors of Fatigue among Octogenarians and CentenariansCho J.a · Martin P.b · Margrett J.b · MacDonald M.c · Johnson M.A.d · Poon L.W.d · for the Georgia Centenarian Study
aScott & White Health Care, Texas A&M Health Science Center, School of Rural Public Health, College Station, Tex., bGerontology Program, College of Human Sciences, Iowa State University, Ames, Iowa, cCollege of Human Ecology, Kansas State University, Manhattan, Kans., and dCollege of Public Health, University of Georgia, Athens, Ga., USA Corresponding Author
Jinmyoung Cho, PhD
Scott & White Health Care, Texas A&M Health Science Center
School of Rural Public Health
College Station, TX 77843-1266 (USA)
Tel. +1 979 458 3507, E-Mail email@example.com
Background: Fatigue is a common and frequently observed complaint among older adults. However, knowledge about the nature and correlates of fatigue in old age is very limited. Objective: This study examined the relationship of functional indicators, psychological and situational factors and fatigue for 210 octogenarians and centenarians from the Georgia Centenarian Study. Methods: Three indicators of functional capacity (self-rated health, instrumental activities of daily living, physical activities of daily living), two indicators of psychological well-being (positive and negative affect), two indicators of situational factors (social network and social support), and a multidimensional fatigue scale were used. Blocked multiple regression analyses were computed to examine significant factors related to fatigue. In addition, multi-group analysis in structural equation modeling was used to investigate residential differences (i.e., long-term care facilities vs. private homes) in the relationship between significant factors and fatigue. Results: Blocked multiple regression analyses indicated that two indicators of functional capacity, self-rated health and instrumental activities of daily living, both positive and negative affect, and social support were significant predictors of fatigue among oldest-old adults. The multiple group analysis in structural equation modeling revealed a significant difference among oldest-old adults based on residential status. Conclusion: The results suggest that we should not consider fatigue as merely an unpleasant physical symptom, but rather adopt a perspective that different factors such as psychosocial aspects can influence fatigue in advanced later life.
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