Scott & White Health Care, Texas A&M Health Science Center, School of Rural Public Health, College Station, TX 77843-1266, USA.
Gerontology. 2012;58(3):249-57. doi: 10.1159/000332214. Epub 2011 Nov 15.
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.
This study examined the relationship of functional indicators, psychological and situational factors and fatigue for 210 octogenarians and centenarians from the Georgia Centenarian Study.
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.
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.
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.
疲劳是老年人中常见且经常出现的主诉。然而,对于老年人疲劳的性质和相关因素知之甚少。
本研究通过对来自佐治亚州百岁老人研究的 210 名 80 岁及以上老年人的功能指标、心理和情境因素与疲劳之间的关系进行了研究。
使用了 3 项功能能力指标(自我评估健康、日常生活活动的工具性活动、日常生活活动的体力活动)、2 项心理幸福感指标(积极和消极情绪)、2 项情境因素指标(社会网络和社会支持)和多维疲劳量表。采用分块多元回归分析来检验与疲劳相关的显著因素。此外,结构方程建模中的多组分析用于研究显著因素与疲劳之间的关系在居住差异(即长期护理机构与私人住宅)上的差异。
分块多元回归分析表明,2 项功能能力指标(自我评估健康和日常生活活动的工具性活动)、积极和消极情绪以及社会支持均为最年长老年人疲劳的显著预测因素。结构方程建模中的多组分析显示,基于居住状况,最年长老年人之间存在显著差异。
研究结果表明,我们不应将疲劳仅仅视为一种令人不适的身体症状,而应采用一种观点,即不同的心理社会因素可以影响高龄后期的疲劳。