Kaushal Navin, Desjardins-Crépeau Laurence, Langlois Francis, Bherer Louis
Department of Medicine, University of Montreal, Montréal, Québec, Canada.
Montreal Heart Institute, Montréal, Québec, Canada.
Int J Behav Med. 2018 Dec;25(6):617-625. doi: 10.1007/s12529-018-9733-0.
Exercise has been shown to have various proximal and distal benefits among older adults such as improving physical fitness, cognitive functioning, and health-related quality of life (HR-QOL). Despite this evidence, limited research has investigated pathway change of these outcomes. The primary purpose of this study was to test if older adults who improved in physical fitness measures from engaging in multicomponent exercise training for 12 weeks predicted change in proximal (cognitive functioning) and distal (HR-QOL) outcomes, respectively.
Participants (n = 110) were healthy, older adults (M = 72, SD = 7.24) that comprised an exercise-intervention and control group. The intervention consisted of exercising in a supervised laboratory setting for 12 weeks.
Structural equation modeling revealed group type to predict change in physical performance and the maximum walking test with comparable effect sizes. Physical performance in turn predicted improvement in processing speed (β = 0.23, p = 0.013) executive functioning (β = 0.26, p = 0.006), and HR-QOL (β = 0.13, p = 0.031). However, only executive functioning was found to significantly predict HR-QOL (β = 0.49, p < 0.001) over processing speed (p > 0.05).
Between two fitness measures, the physical performance test demonstrated better predictive validity in proximal and distal health outcomes. In addition to physical fitness, older adults who engage in multi-component exercise sessions regularly can improve their executive functioning, which in turn enhances their HR-QOL.
已有研究表明,运动对老年人有多种直接和间接益处,如提高身体素质、认知功能以及与健康相关的生活质量(HR-QOL)。尽管有这些证据,但对这些结果的途径变化的研究有限。本研究的主要目的是测试,在进行为期12周的多组分运动训练后,身体素质指标得到改善的老年人是否分别预测了近端(认知功能)和远端(HR-QOL)结果的变化。
参与者(n = 110)为健康的老年人(M = 72,SD = 7.24),分为运动干预组和对照组。干预包括在有监督的实验室环境中锻炼12周。
结构方程模型显示,组类型可预测身体表现和最大步行测试的变化,效应大小相当。身体表现进而预测了处理速度(β = 0.23,p = 0.013)、执行功能(β = 0.26,p = 0.006)和HR-QOL(β = 0.13,p = 0.031)的改善。然而,仅发现执行功能在预测HR-QOL方面显著优于处理速度(β = 0.49,p < 0.001;p > 0.05)。
在两种身体素质测量方法中,身体表现测试在近端和远端健康结果方面显示出更好的预测效度。除了身体素质外,定期进行多组分运动的老年人可以改善其执行功能,进而提高其HR-QOL。