Relationships Between Profiles of Physical Activity and Major Mobility Disability in the LIFE Study.

Relationships Between Profiles of Physical Activity and Major Mobility Disability in the LIFE Study.
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DOI:
10.1111/jgs.16386
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发表时间:
2020-07
影响因子:
6.3
通讯作者:
Miller ME
Miller ME
中科院分区:
医学1区
文献类型:
--
作者:
Fanning J;Rejeski WJ;Chen SH;Guralnik J;Pahor M;Miller ME

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在一项关于体力活动 (PA) 和衰老的大型多中心研究——老年人生活方式干预和独立性 (LIFE) 研究中,探讨轻度 (LPA) 和中度至剧烈强度体力活动 (MVPA) 所花时间与主要行动障碍 (MMD) 风险累积模式之间的关系。作为 LIFE 研究的一部分,从随机接受 PA 干预的个体中收集数据;这是一项 8 中心、单盲、随机临床试验,于 2010 年 2 月至 2013 年 12 月期间进行。老年参与者(78.4 岁;N=507)有 MMD 风险。这些分析中纳入的所有老年人都被随机分配接受结构化 PA 干预,其中包括每周 2 次中心锻炼加上 3-4 次家庭锻炼,主要目标是每周步行 150 分钟。参与者平均参加干预2.5年。 MMD 的定义是在没有帮助的情况下无法在 15 分钟内完成 400 米步行。身体机能通过短期身体表现电池(SPPB)进行评估。 Actigraph 加速度计用于量化 LPA 和 MVPA 的数量和变化。在调整后的 Cox 比例风险回归中,我们发现 SPPB 评分与 LPA 量和变异性之间存在显着的交互作用 (p=0.017),因此在初始功能较高的人群中,更多的 LPA 与降低的 MMD 风险相关,变异性较低(例如,通过在一天中分配 LPA)也是如此。 SPPB × MVPA 交互作用显着 (p=0.04),因此在功能较低的人群中,更多的 MVPA 与较低的 MMD 风险相关。最后,较大的 MVPA 变异性与较低的 MMD 风险相关。老年人的 PA 处方应考虑身体机能等关键因素,并应强调整个强度连续体中 PA 积累的数量和模式。
To examine the relationship between time spent in light- (LPA) and moderate-to-vigorous intensity physical activity (MVPA) and pattern of accumulation on the risk for major mobility disability (MMD) in a large multicenter study of physical activity (PA) and aging—The Lifestyle Interventions and Independence for Elders (LIFE) study. Data were collected from individuals randomized to a PA intervention as part of the LIFE study; an 8-center, single blind, randomized clinical trial that was conducted between February 2010 and December 2013. Older adult participants (78.4 years; N=507) at risk for MMD. All older adults included in these analyses were randomized to structured PA intervention that included 2 center-based plus 3–4 home-based exercise sessions per week with a primary goal of walking for 150 minutes weekly. Participants attended the intervention for 2.5 years on average. MMD was defined as the inability to complete a 400-meter walk within 15 minutes and without assistance. Physical function was assessed via the Short Physical Performance Battery (SPPB). Actigraph accelerometers were used to quantify amount and variability in LPA and MVPA. In an adjusted Cox Proportional Hazards regression, we identified a significant interaction (p=0.017) between SPPB score and LPA amount and variability such that more LPA was associated with reduced risk for MMD among those with higher initial function, as was lower variability (e.g., via distributing LPA across the day). The SPPB × MVPA interaction was significant (p=0.04), such that more MVPA was associated with lower MMD risk among those with lower function. Finally, greater MVPA variability was associated with lower risk for MMD. Prescription of PA for older adults should account for key factors such as physical function and should emphasize both amount and pattern of accumulation of PA from across the intensity continuum.
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