Rejeski W Jack, Rushing Julia, Guralnik Jack M, Ip Edward H, King Abby C, Manini Todd M, Marsh Anthony P, McDermott Mary M, Fielding Roger A, Newman Anne B, Tudor-Locke Catrine, Gill Thomas M
Department of Health & Exercise Science, Wake Forest University, Winston-Salem, North Carolina.
Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
J Gerontol A Biol Sci Med Sci. 2015 May;70(5):641-6. doi: 10.1093/gerona/glv003. Epub 2015 Feb 13.
The assessment of mobility is essential to both aging research and clinical geriatric practice. A newly developed self-report measure of mobility, the mobility assessment tool-short form (MAT-sf), uses video animations as an innovative method to improve measurement accuracy/precision. The primary aim of the current study was to evaluate whether MAT-sf scores can be used to identify risk for major mobility disability (MMD).
This article is based on data collected from the Lifestyle Interventions and Independence for Elders study and involved 1,574 older adults between the ages of 70-89. The MAT-sf was administered at baseline; MMD, operationalized as failure to complete the 400-m walk ≤ 15 minutes, was evaluated at 6-month intervals across a period of 42 months. The outcome of interest was the first occurrence of MMD or incident MMD.
After controlling for age, sex, clinic site, and treatment arm, baseline MAT-sf scores were found to be effective in identifying risk for MMD (p < .0001). Partitioning the MAT-sf into four groups revealed that persons with scores <40, 40-49, 50-59, and 60+ had failure rates across 42 months of follow-up of 66%, 52%, 35%, and 22%, respectively.
The MAT-sf is a quick and efficient way of identifying older adults at risk for MMD. It could be used to clinically identify older adults that are in need of intervention for MMD and provides a simple means for monitoring the status of patients' mobility, an important dimension of functional health.
活动能力评估对于衰老研究和老年临床实践均至关重要。一种新开发的活动能力自我报告测量工具——活动能力评估工具简表(MAT-sf),采用视频动画作为创新方法来提高测量的准确性/精确性。本研究的主要目的是评估MAT-sf评分是否可用于识别严重活动能力障碍(MMD)的风险。
本文基于从老年人生活方式干预与独立性研究中收集的数据,涉及1574名年龄在70 - 89岁之间的老年人。在基线时进行MAT-sf评估;MMD定义为未能在15分钟内完成400米步行,在42个月的时间里每隔6个月进行评估。感兴趣的结果是首次出现MMD或新发MMD。
在控制年龄、性别、诊所地点和治疗组后,发现基线MAT-sf评分可有效识别MMD风险(p < .0001)。将MAT-sf分为四组显示,评分<40、40 - 49、50 - 59和60分及以上的人在42个月随访期间的失败率分别为66%、52%、35%和22%。
MAT-sf是识别有MMD风险的老年人的一种快速有效的方法。它可用于临床识别需要针对MMD进行干预的老年人,并为监测患者活动能力状况提供一种简单方法,而活动能力是功能健康的一个重要方面。