Hayek Roee, Gutman Itai, Baranes Guy, Nudelman Yaniv, Springer Shmuel
The Neuromuscular and Human Performance Laboratory, Faculty of Health Sciences, Department of Physical Therapy, Ariel University, Ariel, Israel.
Maccabi Healthcare Services, Tel-Aviv, Israel.
Innov Aging. 2024 Aug 28;8(10):igae079. doi: 10.1093/geroni/igae079. eCollection 2024.
Mobility can decline in middle age and growing evidence highlights the importance of assessing mobility at this stage of life. Smartphone-based accelerometry during sit-to-stand has been shown to identify mobility impairments, but its utility in detecting subtle mobility deterioration in middle age has not been tested. This study aimed to examine whether smartphone-based accelerometry data measured during sit-to-stand tests performed on a regular chair and a cushioned sofa could be useful for detecting subtle changes in mobility in middle age.
Twenty-three young (25.0 ± 2.5 years), 25 middle-aged (52.0 ± 5.2 years), and 17 older adults (70.0 ± 4.1 years) performed the 5-times sit-to-stand test on both a standard chair and a sofa. A smartphone attached to the participants' lower back was used to measure lower-limb muscle power, maximal vertical velocity (MVV) during rising, the duration of the total task and the subphase of transition from sitting to standing (SiToSt), and repetition variability using the dynamic time warping method.
Middle-aged adults had reduced lower-limb muscle power compared to young adults (5.25 ± 1.08 vs 6.19 ± 1.38 W/kg, = .034), being more pronounced on the sofa (6.23 ± 1.61 vs 8.08 ± 2.17 W/kg, = .004). Differences between middle-aged and young adults in terms of MVV ( = .011) and SiToSt duration ( = .038) were only detected on the sofa, and the middle-aged adults showed less variability compared to the older adults on the chair ( = .018). There was no difference in total task duration between the middle-aged group and the young or older adults in either condition.
Most common tests are limited in their ability to detect early mobility deterioration in midlife due to a ceiling effect. Our results, which show the potential of smartphone-based sit-to-stand assessment in detecting subtle mobility decline in midlife, could serve as a screening tool for this purpose.
中年人的身体活动能力可能会下降，越来越多的证据凸显了在人生这个阶段评估身体活动能力的重要性。研究表明，基于智能手机的加速度计在从坐到站的过程中能够识别身体活动障碍，但尚未测试其在检测中年人细微身体活动能力下降方面的效用。本研究旨在探讨在普通椅子和带坐垫的沙发上进行从坐到站测试时，基于智能手机的加速度计数据是否有助于检测中年人的身体活动细微变化。
23名年轻人（25.0±2.5岁）、25名中年人（52.0±5.2岁）和17名老年人（70.0±4.1岁）在标准椅子和沙发上进行了5次从坐到站测试。将一部智能手机贴在参与者的下背部，用于测量下肢肌肉力量、起身过程中的最大垂直速度（MVV）、总任务持续时间以及从坐到站的过渡子阶段（SiToSt），并使用动态时间规整方法测量重复变异性。
与年轻人相比，中年人的下肢肌肉力量降低（5.25±1.08 vs 6.19±1.38 W/kg，P = 0.034），在沙发上更为明显（6.23±1.61 vs 8.08±2.17 W/kg，P = 0.004）。仅在沙发上检测到中年人与年轻人在MVV（P = 0.011）和SiToSt持续时间（P = 0.038）方面存在差异，并且与老年人相比，中年人在椅子上的变异性较小（P = 0.018）。在两种情况下，中年组与年轻人或老年人在总任务持续时间上均无差异。
由于天花板效应，大多数常见测试在检测中年早期身体活动能力下降方面的能力有限。我们的研究结果显示了基于智能手机的从坐到站评估在检测中年细微身体活动能力下降方面的潜力，可作为为此目的的筛查工具。
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