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运动员饮食失调筛查工具的制定和验证:运动员饮食失调(ADE)筛查工具。

The Development and Validation of a Disordered Eating Screening Tool for Current and Former Athletes: The Athletic Disordered Eating (ADE) Screening Tool.

机构信息

Body Justice, Victoria St., Fitzroy, VIC 3065, Australia.

Department of Nursing and Allied Health, Swinburne University of Technology, John St., Hawthorn, VIC 3122, Australia.

出版信息

Nutrients. 2024 Aug 19;16(16):2758. doi: 10.3390/nu16162758.

Abstract

BACKGROUND

Current and former athletes are one of the most at-risk population groups for disordered eating (DE), impacting their dietary practices, body composition, performance and health during and following their athletic careers. Few comprehensive DE screening tools exist for this group. To help address this, the current study utilised a mixed-methods approach of Classic Test Theory (CTT) and Item Response Theory (IRT) to develop and validate a DE screening tool suitable for current and former athletes.

METHODS

Novel scale development methodologies were used to develop and assess the validity (content, face, cross-cultural, construct), test-retest reliability, internal consistency reliability, factor analysis and Rasch analysis of a new DE scale.

RESULTS

A new validated Athletic Disordered Eating (ADE) screening tool was created, with 17 items and four subscales (food control, bingeing, body control, body discontent), with an internal consistency reliability of 0.91, excellent content and construct validity, an Intraclass Correlation Coefficient of 0.97 and excellent Rasch model fit.

CONCLUSIONS

The ADE screening tool has been dually developed for research purposes and as a clinically applicable screening tool to detect DE in current and former athletes and is suitable for a global use across sporting categories, diverse genders and levels of competition.

摘要

背景

目前和以前的运动员是饮食失调(DE)风险最高的人群之一,这会影响他们在运动生涯期间和之后的饮食行为、身体成分、表现和健康。针对这一群体,目前还没有全面的 DE 筛查工具。有鉴于此,本研究采用经典测试理论(CTT)和项目反应理论(IRT)的混合方法,开发和验证了一种适合目前和以前运动员的 DE 筛查工具。

方法

使用新颖的量表开发方法来开发和评估新的 DE 量表的有效性(内容、表面、跨文化、结构)、重测信度、内部一致性信度、因子分析和 Rasch 分析。

结果

创建了一种新的经过验证的运动员饮食失调(ADE)筛查工具,包含 17 个项目和四个分量表(食物控制、暴食、身体控制、身体不满),内部一致性信度为 0.91,内容和结构效度极佳,组内相关系数为 0.97,Rasch 模型拟合度极佳。

结论

该 ADE 筛查工具是为研究目的和临床应用而双重开发的,用于检测目前和以前运动员的 DE,适用于不同运动项目、性别和竞技水平的全球使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e8/11356912/58bce89809e3/nutrients-16-02758-g001.jpg

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