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增加对久坐、一般健康的老年人的步行量对健康的益处:利用纵向数据模拟干预试验。

Health benefits of increased walking for sedentary, generally healthy older adults: using longitudinal data to approximate an intervention trial.

机构信息

Department of Biostatistics, University of Washington, 1959 North East Pacific Avenue, Seattle, WA 9815-7232, USA.

出版信息

J Gerontol A Biol Sci Med Sci. 2010 Sep;65(9):982-9. doi: 10.1093/gerona/glq070. Epub 2010 May 19.

Abstract

BACKGROUND

Older adults are often advised to walk more, but randomized trials have not conclusively established the benefits of walking in this age group. Typical analyses based on observational data may have biased results. Here, we propose a "limited-bias," more interpretable estimate of the health benefits to sedentary healthy older adults of walking more, using longitudinal data from the Cardiovascular Health Study.

METHODS

The number of city blocks walked per week, collected annually, was classified as sedentary (<7 blocks per week), somewhat active, or active (>or=28). Analysis was restricted to persons sedentary and healthy in the first 2 years. In Year 3, some became more active (the treatment groups). Self-rated health at Year 5 (follow-up) was regressed on walking at Year 3, with additional covariates from Year 2, when all were sedentary.

RESULTS

At follow-up, 83.5% of those active at baseline had excellent, very good, or good self-rated health, as compared with 63.9% of the sedentary, an apparent benefit of 19.6 percentage points. After covariate adjustment, the limited-bias estimate of the benefit was 11.2 percentage points (95% confidence interval 3.7-18.6). Ten different outcome measures showed a benefit, ranging from 5 to 11 percentage points. Estimates from other study designs were smaller, less interpretable, and potentially more biased.

CONCLUSIONS

In longitudinal studies where walking and health are ascertained at every wave, limited-bias estimates can provide better estimates of the benefits of walking. A surprisingly small increase in walking was associated with meaningful health benefits.

摘要

背景

老年人常被建议多走路,但随机试验并未最终确定这一年龄段多走路的益处。基于观察性数据的典型分析可能会产生有偏差的结果。在这里,我们使用心血管健康研究的纵向数据,提出了一种“有限偏差”的、更易解释的方法,以估算多走对久坐不动的健康老年人的健康益处。

方法

每年收集的每周步行街区数被分类为久坐不动(每周<7 街区)、有些活跃或活跃(每周>=28 街区)。分析仅限于前 2 年久坐不动且健康的人群。在第 3 年,一些人变得更加活跃(治疗组)。在第 5 年(随访)时,用第 2 年的所有参与者都处于久坐不动状态时的附加协变量回归第 3 年的步行情况。

结果

在随访时,与基线时久坐不动的人群相比,基线时活跃的人群中 83.5%的人自我报告健康状况极好、非常好或好,而久坐不动的人群中这一比例为 63.9%,这表明有 19.6 个百分点的明显获益。在进行协变量调整后,获益的有限偏差估计值为 11.2 个百分点(95%置信区间为 3.7-18.6)。十种不同的结果衡量指标都显示出了获益,范围从 5 个百分点到 11 个百分点不等。其他研究设计的估计值较小,更难以解释,且潜在偏差更大。

结论

在每次随访时都确定行走和健康状况的纵向研究中,有限偏差的估计可以提供更准确的行走获益的估计值。增加少量的行走就与显著的健康获益相关。

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