Ward Rachel E, Beauchamp Marla K, Latham Nancy K, Leveille Suzanne G, Percac-Lima Sanja, Kurlinski Laura, Ni Pengsheng, Goldstein Richard, Jette Alan M, Bean Jonathan F
New England GRECC, Boston VA Healthcare System, Boston, MA, United States of America.
Harvard Medical School, Cambridge, MA, United States of America.
PLoS One. 2016 Dec 22;11(12):e0169003. doi: 10.1371/journal.pone.0169003. eCollection 2016.
To validate trajectories of late-life mobility change using a novel approach designed to overcome the constraints of modest sample size and few follow-up time points.
Using clinical reasoning and distribution-based methodology, we identified trajectories of mobility change (Late Life Function and Disability Instrument) across 2 years in 391 participants age ≥65 years from a prospective cohort study designed to identify modifiable impairments predictive of mobility in late-life. We validated our approach using model fit indices and comparing baseline mobility-related factors between trajectories.
Model fit indices confirmed that the optimal number of trajectories were between 4 and 6. Mobility-related factors varied across trajectories with the most unfavorable values in poor mobility trajectories and the most favorable in high mobility trajectories. These factors included leg strength, trunk extension endurance, knee flexion range of motion, limb velocity, physical performance measures, and the number and prevalence of medical conditions including osteoarthritis and back pain.
Our findings support the validity of this approach and may facilitate the investigation of a broader scope of research questions within aging populations of varied sizes and traits.
使用一种旨在克服样本量适中及随访时间点较少限制的新方法,验证晚年活动能力变化轨迹。
利用临床推理和基于分布的方法,我们从一项旨在识别预测晚年活动能力的可改变损伤的前瞻性队列研究中,确定了391名年龄≥65岁参与者在两年内的活动能力变化轨迹(晚年功能与残疾量表)。我们使用模型拟合指数并比较轨迹之间的基线活动相关因素来验证我们的方法。
模型拟合指数证实,最佳轨迹数量在4到6之间。活动相关因素因轨迹而异,在活动能力差的轨迹中值最不利,在活动能力高的轨迹中最有利。这些因素包括腿部力量、躯干伸展耐力、膝关节屈伸活动范围、肢体速度、身体性能指标,以及包括骨关节炎和背痛在内的医疗状况的数量和患病率。
我们的研究结果支持这种方法的有效性,并可能有助于在不同规模和特征的老年人群中研究更广泛的研究问题。