Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
IMDEA Food Institute, CEI UAM+CSIC, Madrid, Spain.
Scand J Med Sci Sports. 2024 Jan;34(1):e14536. doi: 10.1111/sms.14536. Epub 2023 Nov 15.
To assess the association of physical activity (PA) type, volume, intensity, and changes over time with all-cause mortality in older adults.
We used data from 3518 and 3273 older adults recruited in the Seniors-ENRICA-1 and 2 cohorts. PA was assessed with the EPIC questionnaire. Participants reported how many hours they spent a week in walking, cycling, gardening, do-it-yourself (DIY), sports, and housework. Then, time at each intensity (moderate PA [MPA], vigorous PA [VPA], moderate-to-vigorous PA [MVPA] and total PA) was calculated. Changes in PA were calculated from the date of the baseline interview to Wave 1. All-cause mortality was ascertained up January 31, 2022. Analyses were performed with Cox regression models, adjusting for the main confounders.
Walking, gardening, sports, and housework was associated with lower mortality (ranged 20%-46%). Also, MPA, VPA, MVPA was associated with lower risk of mortality (ranged 28%-53%). Analyses of PA change showed that, compared no PA participation (at baseline nor Wave 1), maintain walking, sports, and housework (ranged 28%-53%) and maintaining MPA, VPA, and MVPA (ranged 32%-36%) levels was linked to decreased mortality risk. Those who increased, maintained, or even decreased total PA had lower mortality (57%, 52%, and 36%, respectively) than those with consistently very low PA.
The lower mortality was observed in those with a high baseline level of total PA. Maintaining PA levels such as walking, gardening, and housework, or at all analyzed intensities, was related to lower mortality.
评估体力活动(PA)类型、量、强度以及随时间的变化与老年人全因死亡率的关系。
我们使用了 Seniors-ENRICA-1 和 2 队列中招募的 3518 名和 3273 名老年人的数据。PA 使用 EPIC 问卷进行评估。参与者报告了他们每周在散步、骑自行车、园艺、自己动手(DIY)、运动和家务劳动中花费的时间。然后,计算了每种强度(中等强度 PA [MPA]、高强度 PA [VPA]、中高强度 PA [MVPA]和总 PA)的时间。PA 的变化是根据基线访谈日期到第 1 波的时间计算的。截至 2022 年 1 月 31 日,所有原因的死亡率都得到了确定。使用 Cox 回归模型进行分析,调整了主要混杂因素。
散步、园艺、运动和家务劳动与较低的死亡率相关(范围为 20%-46%)。此外,MPA、VPA、MVPA 与较低的死亡率风险相关(范围为 28%-53%)。PA 变化分析表明,与没有 PA 参与(基线和第 1 波均无)相比,维持散步、运动和家务劳动(范围为 28%-53%)以及维持 MPA、VPA 和 MVPA(范围为 32%-36%)水平与降低死亡率风险相关。那些增加、维持甚至降低总 PA 的人死亡率较低(分别为 57%、52%和 36%),而那些一直保持低 PA 水平的人死亡率较高。
高基线总 PA 水平与较低的死亡率有关。维持 PA 水平,如散步、园艺和家务劳动,或在所有分析的强度上,与较低的死亡率有关。