当前位置: X-MOL 学术Exp. Aging Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Body Mass Index, Physical Activity Habits and Physical Function Contribute to Fatigue in the Rest Home Residents.
Experimental Aging Research ( IF 1.8 ) Pub Date : 2020-05-26 , DOI: 10.1080/0361073x.2020.1769392
Sevim Acaröz Candan 1
Affiliation  

Backgrounds

Fatigue is a common complaint in older adults living in rest homes. The aim of this study was to investigate the factors associated with fatigue among older adults living in a rest home.

Methods

This cross-sectional study was carried out with a total of 92 older adults. Fatigue was evaluated by the Fatigue Severity Scale (FSS). The sociodemographic characteristics, quadriceps and handgrip strength, functional capacity and physical function were assessed using a structured questionnaire, digital dynamometers, 6-minute walking test and Short Physical Performance Battery, respectively.

Results

The prevalence of fatigue was 67.4%. FSS showed significant correlations with age, female gender, body mass index, physical activity habits, quadriceps strength, handgrip strength, functional exercise capacity, and physical function. However, in the regression analysis, only body mass index, physical activity habits and physical function were responsible for 51% of the variance in fatigue among rest home residents. Physical activity habits and physical function were the best predictors of fatigue explaining 47.5% of variance.

Conclusion

This study demonstrated that body mass index, physical activity habits and physical function contributed to fatigue in rest home residents. These factors can be used to identify individuals at high risk of fatigue and to attenuate fatigue levels.



中文翻译:

身体质量指数,体育活动习惯和身体机能有助于安养院居民的疲劳。

背景资料

疲劳是居住在养老院中的老年人的普遍抱怨。这项研究的目的是调查与住在养老院的老年人疲劳有关的因素。

方法

这项横断面研究共对92名老年人进行。疲劳通过疲劳严重程度量表(FSS)进行评估。社会人口统计学特征,股四头肌和握力,功能能力和身体机能分别使用结构化问卷,数字测功机,6分钟步行测试和短物理性能电池进行评估。

结果

疲劳发生率为67.4%。FSS与年龄,女性,体重指数,体育活动习惯,四头肌力量,握力,功能锻炼能力和身体机能具有显着相关性。然而,在回归分析中,只有体重指数,体育活动习惯和身体机能是51%的养老院居民疲劳变化的原因。身体活动习惯和身体机能是疲劳的最佳预测因子,可解释47.5%的差异。

结论

这项研究表明,体重指数,体育活动习惯和身体机能导致了养老院居民的疲劳。这些因素可以用来识别疲劳风险高的人,并减轻疲劳程度。

更新日期:2020-05-26
down
wechat
bug