Life-space mobility is associated with frequency of hospitalization in adults with cystic fibrosis
Life-space mobility is associated with frequency of hospitalization in adults with cystic fibrosis
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DOI：
10.1111/j.1752-699x.2010.00225.x
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发表时间：
2011-10-01
影响因子：
1.7
通讯作者：
Tangpricha, Vin
中科院分区：
文献类型：
--
作者：
Gottlieb, Eric Raphael;Smith, Elisabeth Christine;Tangpricha, Vin
简介和目标：生命空间评估可用于测量患者的活动水平。本研究评估了囊性纤维化 (CF) 成人患者的生活空间流动性与前一年住院频率以及其他临床健康指标之间的关系。方法：对患有囊性纤维化 (CF) 的成人患者在诊所或通过电话进行生命空间评估。生命空间流动性与最近一秒用力呼气量占预测值的百分比（FEV1 % 预测值）、体重指数 (BMI) 和上一年的住院次数相关。 结果：48 名受试者完成了生命空间评估。受试者的生活空间评分为 88 +/- 26，FEV1 % 预测为 66% +/- 26%，BMI 为 22.5 +/- 3.3。受试者上一年住院次数与生活空间流动性之间存在统计学上显着的负线性相关（P = 0.001，R-2 = 0.20）。这种关联与预测的 FEV1 % 和 BMI 无关。结论：生活空间活动度评分与 CF 成人患者的住院频率相关。应开展前瞻性研究来评估生命空间评估预测成人 CF 住院治疗和其他结果的能力。
Introduction and Objectives: The Life-Space Assessment can be used to measure a patient's level of mobility. This study evaluated the relationship between life-space mobility and frequency of hospitalization in the previous year and other clinical markers of health among adults with cystic fibrosis (CF).Methods: The Life-Space Assessment was administered to ambulatory adults with CF in clinic or by telephone. Life-space mobility was correlated with the most recent forced expiratory volume in one second as a percent of the predicted value (FEV1 % predicted), body mass index (BMI) and number of hospitalizations in the previous year.Results: Forty-eight subjects completed the Life-Space Assessment. Subjects had a life-space score of 88 +/- 26, FEV1 % predicted of 66% +/- 26% and BMI of 22.5 +/- 3.3. There was a statistically significant negative linear correlation between the number of times a subject was hospitalized in the previous year and life-space mobility (P = 0.001, R-2 = 0.20). This association was independent of FEV1 % predicted and BMI.Conclusion: The life-space mobility score is associated with frequency of hospitalization in adults with CF. A prospective study should be undertaken to assess the ability of the Life-Space Assessment to predict hospitalization and other outcomes in adults with CF.