Alexander Jennifer R, Houghton David C, Twohig Michael P, Franklin Martin E, Saunders Stephen M, Neal-Barnett Angela M, Compton Scott N, Woods Douglas W
Department of Psychology, Texas A&M University, 4235 TAMU, College Station, TX 77840, USA.
Department of Psychology, Utah State University, 2810 Old Main Hill, Logan, UT 84322, USA.
J Obsessive Compuls Relat Disord. 2016 Oct;11:31-38. doi: 10.1016/j.jocrd.2016.08.001. Epub 2016 Aug 16.
The Milwaukee Inventory for Subtypes of Trichotillomania-Adult Version (MIST-A; Flessner et al., 2008) measures the degree to which hair pulling in Trichotillomania (TTM) can be described as "automatic" (i.e., done without awareness and unrelated to affective states) and/or "focused" (i.e., done with awareness and to regulate affective states). Despite preliminary evidence in support of the psychometric properties of the MIST-A, emerging research suggests the original factor structure may not optimally capture TTM phenomenology. Using data from a treatment-seeking TTM sample, the current study examined the factor structure of the MIST-A via exploratory factor analysis. The resulting two factor solution suggested the MIST-A consists of a 5-item "awareness of pulling" factor that measures the degree to which pulling is done with awareness and an 8-item "internal-regulated pulling" factor that measures the degree to which pulling is done to regulate internal stimuli (e.g., emotions, cognitions, and urges). Correlational analyses provided preliminary evidence for the validity of these derived factors. Findings from this study challenge the notions of "automatic" and "focused" pulling styles and suggest that researchers should continue to explore TTM subtypes.
《密尔沃基拔毛癖亚型成人版量表》(MIST-A;Flessner等人,2008年)测量了拔毛癖(TTM)中拔毛可被描述为“自动的”(即无意识地进行且与情感状态无关)和/或“专注的”(即有意识地进行且用于调节情感状态)的程度。尽管有初步证据支持MIST-A的心理测量特性,但新出现的研究表明,原始的因素结构可能无法最佳地捕捉TTM的现象学特征。本研究使用来自寻求治疗的TTM样本的数据,通过探索性因素分析检验了MIST-A的因素结构。由此得出的两因素解决方案表明,MIST-A由一个测量有意识拔毛程度的5项“拔毛意识”因素和一个测量为调节内部刺激(如情绪、认知和冲动)而进行拔毛程度的8项“内部调节拔毛”因素组成。相关分析为这些派生因素的有效性提供了初步证据。本研究的结果挑战了“自动的”和“专注的”拔毛方式的概念,并表明研究人员应继续探索TTM的亚型。