Department of Psychology, University of Regina, Regina, Canada.
J Anxiety Disord. 2012 Jan;26(1):246-51. doi: 10.1016/j.janxdis.2011.11.009. Epub 2011 Nov 28.
Cognitive-behavioral models conceptualize health anxiety as a construct that varies in degree along a continuum rather than existing as nonpathological versus pathological classes or taxons. Only two studies have empirically evaluated the latent structure of health anxiety, both using taxometric statistical methods and both supporting its conceptualization as continuous (Ferguson, 2009; Longley et al., 2010). We sought to further evaluate the latent structure of health anxiety using factor mixture modeling (FMM), which involved a combination of exploratory factor analysis (EFA) and mixture modeling that allowed comparison of models comprising one or more latent classes. Health anxiety symptom data were obtained from the Illness Attitude Scales (IAS) administered to 1768 university undergraduate students. Indicators of health anxiety, derived from EFA of IAS item data, included disease worry, disease conviction, health-related safety behaviors, fear of death, somatic focus, interference due to symptoms, and treatment seeking. FMM of these indicators suggested that health anxiety consists of two classes: (a) an "anxious" class comprising 81.4% of the sample and characterized primarily by somatic focus and interference due to symptoms, and (b) a "nonanxious" class comprising 18.6% of the sample with low scores on all indicators. Contrary to current conceptualizations and taxometric findings, the FMM results indicate the latent structure of health anxiety to be taxonic rather than continuous. Implications for the measurement and conceptualization of health anxiety are discussed and future research directions are highlighted.
认知行为模型将健康焦虑概念化为一个连续体上程度不同的构念,而不是非病理性与病理性类别或分类存在。只有两项研究使用计量统计学方法对健康焦虑的潜在结构进行了实证评估,两者都支持其连续的概念化(Ferguson,2009;Longley 等人,2010)。我们试图使用因子混合建模(FMM)进一步评估健康焦虑的潜在结构,该方法涉及探索性因素分析(EFA)和混合建模的组合,允许比较由一个或多个潜在类别组成的模型。健康焦虑症状数据来自对 1768 名大学生进行的疾病态度量表(IAS)的测试。从 IAS 项目数据的 EFA 中得出的健康焦虑指标包括疾病担忧、疾病确信、与健康相关的安全行为、对死亡的恐惧、躯体焦点、因症状而产生的干扰以及寻求治疗。这些指标的 FMM 表明,健康焦虑由两个类别组成:(a)一个“焦虑”类别,占样本的 81.4%,主要特征是躯体焦点和因症状而产生的干扰;(b)一个“非焦虑”类别,占样本的 18.6%,所有指标得分均较低。与当前的概念化和计量发现相反,FMM 结果表明健康焦虑的潜在结构是分类的,而不是连续的。讨论了对健康焦虑的测量和概念化的影响,并强调了未来的研究方向。