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区分匈牙利男性举重运动员肌肉变形障碍风险水平:因素混合建模方法。

Differentiating the levels of risk for muscle dysmorphia among Hungarian male weightlifters: a factor mixture modeling approach.

机构信息

Institute of Behavioral Sciences, Semmelweis University, Nagyvárad tér 4, 1089 Budapest, Hungary.

Institute of Behavioral Sciences, Semmelweis University, Nagyvárad tér 4, 1089 Budapest, Hungary.

出版信息

Body Image. 2015 Jan;12:14-21. doi: 10.1016/j.bodyim.2014.09.001. Epub 2014 Sep 30.

Abstract

Muscle dysmorphia (MD) is a body image disturbance characterized by a pathological preoccupation with muscularity. The study aimed to differentiate the levels of risk for MD among weightlifters and to define a tentative cut-off score for the Muscle Appearance Satisfaction Scale (MASS) for the identification of high risk MD cases. Hungarian male weightlifters (n=304) completed the MASS, the Exercise Addiction Inventory, and specific exercise and body image related questions. For the differentiation of MD, factor mixture modeling was performed, resulting in three independent groups: low-, moderate-, and high risk MD groups. The estimated prevalence of high risk MD in this sample of weightlifters was 15.1%. To determine a cut-off score for the MASS, sensitivity and specificity analyses were performed and a cut-off point of 63 was suggested. The proposed cut-off score for the MASS can be useful for the early detection of high risk MD.

摘要

肌肉变形障碍(MD)是一种身体意象障碍,其特征是病理性地专注于肌肉发达。本研究旨在区分举重运动员患 MD 的风险水平,并为肌肉外观满意度量表(MASS)定义一个暂定的截断分数,以识别 MD 高危病例。匈牙利男性举重运动员(n=304)完成了 MASS、运动成瘾量表以及特定的运动和身体意象相关问题。为了区分 MD,进行了因子混合模型分析,结果产生了三个独立的组:低、中、高 MD 风险组。在这个举重运动员样本中,高危 MD 的估计患病率为 15.1%。为了确定 MASS 的截断分数,进行了敏感性和特异性分析,建议截断分数为 63。MASS 的建议截断分数可用于早期发现 MD 高危病例。

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