Multidimensional predictors of fatigue among octogenarians and centenarians

Gerontology. 2012;58(3):249-57. doi: 10.1159/000332214. Epub 2011 Nov 15.

Abstract

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.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Aging / physiology*
  • Cohort Studies
  • Fatigue / diagnosis*
  • Fatigue / epidemiology*
  • Female
  • Follow-Up Studies
  • Georgia
  • Geriatric Assessment / methods
  • Health Status Indicators
  • Humans
  • Independent Living*
  • Longevity / physiology
  • Male
  • Multivariate Analysis
  • Predictive Value of Tests
  • Prevalence
  • Prospective Studies
  • Regression Analysis
  • Severity of Illness Index
  • Sex Distribution
  • Sickness Impact Profile
  • Skilled Nursing Facilities*