• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

活动水平可预测健康老年女性的 6 分钟步行距离:一项观察性研究。

Activity level predicts 6-minute walk distance in healthy older females: an observational study.

机构信息

The George Institute for Global Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.

出版信息

Physiotherapy. 2013 Mar;99(1):21-6. doi: 10.1016/j.physio.2011.11.004. Epub 2012 Apr 10.

DOI:10.1016/j.physio.2011.11.004
PMID:23219646
Abstract

BACKGROUND

The 6-minute walk test (6MWT) is widely used in clinical practice and research. Few studies have investigated activity level as a predictor of 6-minute walk distance (6MWD), and existing predictive models do not allow for activity level.

OBJECTIVES

To evaluate if knowledge of the level of physical activity enhanced the ability to predict 6MWD, and if the inclusion of activity level added to the predictive accuracy of existing models for the 6MWT in healthy older women; and to validate existent predictive models for 6MWD in a new sample.

DESIGN

Cross-sectional, observational study.

SETTING

Four elderly communities.

PARTICIPANTS

A convenience sample of healthy active and sedentary older non-smoking females with no musculoskeletal or lung disorders.

MAIN OUTCOME MEASURES

Age, height, weight, spirometric values and 6MWD.

RESULTS

Seventy-seven out of 154 females met the inclusion criteria [mean age 66 (standard deviation 6.5) years]: 46 were active and composed the active group and 31 were sedentary and composed the sedentary group. The active group had significantly greater 6MWD than the sedentary group (mean 44m; 95% confidence interval 14 to 73m; P<0.01). Previous published models that did not allow for activity level either over or underestimated the 6MWD in this sample. The activity level was shown to be an important independent predictor of 6MWD.

CONCLUSION

This study demonstrates the importance of considering the level of physical activity when predicting 6MWD in older women.

摘要

背景

6 分钟步行测试(6MWT)在临床实践和研究中被广泛应用。很少有研究探讨活动水平作为 6 分钟步行距离(6MWD)的预测指标,而且现有的预测模型不考虑活动水平。

目的

评估了解体力活动水平是否能提高预测 6MWD 的能力,以及在健康老年女性中,纳入活动水平是否能提高 6MWT 现有模型的预测准确性;并验证现有的 6MWD 预测模型在新样本中的有效性。

设计

横断面、观察性研究。

地点

四个老年社区。

参与者

一个方便抽样的健康、活跃和久坐的非吸烟老年女性,无肌肉骨骼或肺部疾病。

主要观察指标

年龄、身高、体重、肺功能值和 6MWD。

结果

154 名女性中有 77 名符合纳入标准[平均年龄 66(标准差 6.5)岁]:46 名活跃,组成活跃组,31 名久坐,组成久坐组。活跃组的 6MWD 明显大于久坐组(平均 44m;95%置信区间 14 至 73m;P<0.01)。之前不考虑活动水平的发表模型要么高估了,要么低估了这个样本的 6MWD。活动水平被证明是 6MWD 的一个重要独立预测指标。

结论

本研究表明,在预测老年女性 6MWD 时,考虑体力活动水平是很重要的。

相似文献

1
Activity level predicts 6-minute walk distance in healthy older females: an observational study.活动水平可预测健康老年女性的 6 分钟步行距离:一项观察性研究。
Physiotherapy. 2013 Mar;99(1):21-6. doi: 10.1016/j.physio.2011.11.004. Epub 2012 Apr 10.
2
Six minute walk distance in healthy subjects aged 55-75 years.55至75岁健康受试者的6分钟步行距离。
Respir Med. 2006 Apr;100(4):658-65. doi: 10.1016/j.rmed.2005.08.003. Epub 2005 Oct 17.
3
Reference equations for the six-minute walk distance in the healthy Chinese population aged 18-59 years.18至59岁健康中国人群六分钟步行距离的参考方程。
PLoS One. 2017 Sep 14;12(9):e0184669. doi: 10.1371/journal.pone.0184669. eCollection 2017.
4
[Six-minute walk test in obstructive sleep apnoea].[阻塞性睡眠呼吸暂停的六分钟步行试验]
Pneumonol Alergol Pol. 2008;76(2):75-82.
5
Six-minute walk distance (6MWD) is associated with body fat, systolic blood pressure, and rate-pressure product in community dwelling elderly subjects.六分钟步行距离(6MWD)与社区居住的老年受试者的体脂肪、收缩压和心率-血压乘积相关。
Arch Gerontol Geriatr. 2011 Mar-Apr;52(2):206-10. doi: 10.1016/j.archger.2010.03.020. Epub 2010 Apr 20.
6
Updating the minimal important difference for six-minute walk distance in patients with chronic obstructive pulmonary disease.更新慢性阻塞性肺疾病患者六分钟步行距离的最小有意义差异。
Arch Phys Med Rehabil. 2010 Feb;91(2):221-5. doi: 10.1016/j.apmr.2009.10.017.
7
Estimating maximum work rate during incremental cycle ergometry testing from six-minute walk distance in patients with chronic obstructive pulmonary disease.通过六分钟步行距离估算慢性阻塞性肺疾病患者递增式蹬车测力试验中的最大工作率。
Arch Phys Med Rehabil. 2008 Sep;89(9):1782-7. doi: 10.1016/j.apmr.2008.01.020.
8
Six-minute walking distance in women with COPD.慢性阻塞性肺疾病女性的六分钟步行距离。
COPD. 2011 Aug;8(4):300-5. doi: 10.3109/15412555.2011.589870. Epub 2011 Jul 18.
9
Habitual physical activity score as a predictor of the 6-min walk test distance in healthy adults.习惯性身体活动得分作为健康成年人6分钟步行测试距离的预测指标
Respir Investig. 2013 Dec;51(4):250-6. doi: 10.1016/j.resinv.2013.04.008. Epub 2013 Jun 14.
10
The six-minute walk test and body weight-walk distance product in healthy Brazilian subjects.健康巴西受试者的六分钟步行试验和体重-步行距离乘积。
Braz J Med Biol Res. 2009 Nov;42(11):1080-5. doi: 10.1590/s0100-879x2009005000032. Epub 2009 Oct 2.

引用本文的文献

1
The Six-Minute Walk Test in Community-Dwelling Older Adult Women: The Influence of Physical Activity Levels and Age-Related Factors.社区居住老年女性的六分钟步行测试:身体活动水平和年龄相关因素的影响
Healthcare (Basel). 2025 Jul 4;13(13):1610. doi: 10.3390/healthcare13131610.
2
Relationship between changes in physical function parameters and Roland-Morris disability questionnaire score after decompression surgery for lumbar spinal canal stenosis.腰椎管狭窄减压术后身体功能参数变化与 Roland-Morris 残疾问卷评分的关系。
Nagoya J Med Sci. 2022 Aug;84(3):570-579. doi: 10.18999/nagjms.84.3.570.
3
An Evaluation of Prediction Equations for the 6 Minute Walk Test in Healthy European Adults Aged 50-85 Years.
50至85岁健康欧洲成年人6分钟步行试验预测方程的评估
PLoS One. 2015 Sep 29;10(9):e0139629. doi: 10.1371/journal.pone.0139629. eCollection 2015.
4
Intensity and physiological responses to the 6-minute walk test in middle-aged and older adults: a comparison with cardiopulmonary exercise testing.中年及老年成人6分钟步行试验的强度和生理反应:与心肺运动试验的比较
Braz J Med Biol Res. 2015 Apr;48(4):349-53. doi: 10.1590/1414-431X20144235. Epub 2015 Feb 24.