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老年人递增式踏步走测试在巴西老年人中的应用。

The incremental shuttle walk test in older Brazilian adults.

机构信息

Department of Health Sciences, Laboratory of Human Motricity, Federal University of São Paulo, Santos, Brazil.

出版信息

Respiration. 2011;81(3):223-8. doi: 10.1159/000319037. Epub 2010 Jul 17.

Abstract

BACKGROUND

Despite widespread use of the incremental shuttle walk distance (ISWD), there are no reference equations for predicting it.

OBJECTIVES

We aimed to evaluate ISWD in healthy subjects and to establish a reference equation for its prediction.

METHODS

131 Brazilian individuals (61 males; 59 ± 10 years) performed 2 walk tests in a 10-m long corridor. We assessed height, weight, body mass index, forced expiratory volume in 1 s, forced vital capacity and self-reported physical activity.

RESULTS

Mean ISWD was greater in males than in females (606 ± 167 vs. 443 ± 117 m; p < 0.001). ISWD correlated significantly (p < 0.05) with age (r = -0.51), height (r = 0.54) and weight (r = 0.20). A predictive model including age, height, weight and gender explained 50.3% of the ISWD variance. In an additional group of 20 subjects prospectively studied, the difference between measured and predicted ISWD was not statistically significant (534 ± 84 vs. 552 ± 87 m, respectively), representing 97 ± 12% of the predicted value calculated with our reference equation for ISWD.

CONCLUSIONS

This reference equation including demographic and anthropomorphic attributes could be useful for interpreting the walking performance of patients with chronic diseases that affect exercise capacity.

摘要

背景

尽管增量穿梭步行距离(ISWD)被广泛应用,但目前尚无预测 ISWD 的参考方程。

目的

评估健康受试者的 ISWD,并建立预测 ISWD 的参考方程。

方法

131 名巴西个体(61 名男性;59 ± 10 岁)在 10 米长的走廊中进行了 2 次步行测试。我们评估了身高、体重、体重指数、1 秒用力呼气量、用力肺活量和自我报告的身体活动量。

结果

男性的平均 ISWD 大于女性(606 ± 167 与 443 ± 117 m;p < 0.001)。ISWD 与年龄(r = -0.51)、身高(r = 0.54)和体重(r = 0.20)显著相关(p < 0.05)。一个包含年龄、身高、体重和性别的预测模型解释了 50.3%的 ISWD 方差。在另外 20 名前瞻性研究的受试者中,实测 ISWD 与预测 ISWD 之间的差异无统计学意义(分别为 534 ± 84 与 552 ± 87 m),分别代表我们预测 ISWD 的参考方程计算出的预测值的 97 ± 12%。

结论

这个包含人口统计学和人体测量学特征的参考方程可能有助于解释影响运动能力的慢性疾病患者的步行表现。

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