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首页> 外文期刊>Journal of athletic training >Patient-Reported Outcomes Measurement Information System Physical Function Item Bank, Version 1.0: Physical Function Assessment for Athletic Patient Populations
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Patient-Reported Outcomes Measurement Information System Physical Function Item Bank, Version 1.0: Physical Function Assessment for Athletic Patient Populations

机译：患者报告的结果测量信息系统身体功能项目库，版本1.0：运动患者群体的身体功能评估

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Context: The Patient-Reported Outcomes Measurement Information System (PROMIS) item banks have been validated for general populations, but their application to high-functioning patient populations remains speculative. Objective: To examine the measurement properties of the PROMIS physical function item bank, version 1.0, when applied to individuals representing high levels of physical ability. Design: Cross-sectional study. Setting: National Collegiate Athletic Association Division I and III collegiate athletic training rooms and intramural events. Patients or Other Participants: A heterogeneous sample of 215 adults from Division I or Division III collegiate or recreational sports volunteered for this study. Participants were divided into 4 groups depending on sport activity and injury status: healthy collegiate (HC; 33 men, 37 women; age = 19.7 ± 1.1 years), injured and currently active in sport (IP; 21 men, 29 women; age = 19.9 ± 1.2 years), injured and currently not active in sport (INP; 12 men, 18 women; age = 19.7 ± 1.3 years), and healthy recreational (HR; 47 men, 18 women; age = 20.1 ± 1.4 years). Main Outcome Measure(s): Participants completed 2 assessments: (1) an injury-history questionnaire and (2) the PROMIS physical function item bank, version 1.0, in computer-adaptive form. Mean PROMIS physical function scores were determined for each group. Results: The PROMIS physical function score for the HC group (61.7 ± 6.0) was higher than for the IP (54.9 ± 7.5) and INP (44.1 ± 8.2) groups (P < .001). The IP group had a higher score than the INP group (P < .001). Mean PROMIS scores were not different between the HC and HR participants (mean difference = 1.9, P = .10). Conclusions: The computer-adaptive PROMIS physical function item bank, version 1.0, accurately distinguished injury status in elite-level athletes on a physical function latent trait continuum. Although it was unable to distinguish HC athletes from HR athletes, exposing a possible ceiling effect, it offers potential for use as an outcome instrument for athletic trainers and other sports medicine clinicians.
机译：背景：患者报告的结果测量信息系统（PROMIS）项目库已针对一般人群进行了验证，但其在高功能患者人群中的应用仍然具有推测性。目的：当将PROMIS身体功能项目库1.0版应用于代表高水平身体能力的个人时，检查其测量属性。设计：横断面研究。地点：美国国家大学体育协会第一和第三分校大学运动训练室和校内活动。患者或其他参与者：自愿从本研究的I类或III类大学或休闲运动项目的215名成年人中收集的异质样本。根据运动活动和受伤状况将参与者分为4组：健康的大学学院（HC; 33名男性，37名女性;年龄= 19.7±1.1岁），受伤且目前从事体育活动（IP; 21名男性，29名女性;年龄= 19.9±1.2岁），受伤且目前不从事运动（INP; 12名男性，18名女性;年龄= 19.7±1.3岁）和健康娱乐（HR; 47名男性，18名女性;年龄= 20.1±1.4岁）。主要指标：参与者完成2项评估：（1）受伤历史调查表和（2）PROMIS身体功能项目库（版本1.0）以计算机支持的形式。确定每组的平均PROMIS身体机能评分。结果：HC组的PROMIS身体功能评分（61.7±6.0）高于IP组（54.9±7.5）和INP（44.1±8.2）组（P <.001）。 IP组的得分高于INP组（P <.001）。 HC和HR参与者之间的平均PROMIS分数没有差异（平均差异= 1.9，P = .10）。结论：计算机支持的PROMIS身体机能项目库1.0版可以在身体机能潜在特征连续体上准确地区分精英水平运动员的损伤状态。尽管它无法区分HC运动员和HR运动员，但暴露出可能的上限效应，但它有潜力用作运动教练和其他运动医学临床医生的结局工具。

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