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Construct Validity and Psychometric Properties of the Hebrew Version of the City Birth Trauma Scale

机译:希伯来语版本的城市出生创伤量表的建构效度和心理计量学性质

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As many as third of the women perceive their childbirth as traumatic and although prevalence rates vary between studies, around 2–5% of women in community samples may develop childbirth-related postpartum post-traumatic stress disorder (PPTSD). The City Birth Trauma Scale (BiTS) was developed to address the need for a DSM-5-based instrument that assesses PPTSD. The BiTS is a self-report questionnaire, which covers all DSM-5 PTSD criteria, including the four symptom clusters – re-experiencing, avoidance, negative mood and cognitions and hyperarousal symptoms. The present study aimed to describe the psychometric properties and validate the Hebrew version of the BiTS. Five hundred and four mothers of 0- to 12-month-old infants were sampled using social media and the snowball method. Respondents completed an online survey consisting of a demographic questionnaire and the Hebrew versions of the BiTS, the impact of event scale-revised (IES-R), the Edinburgh postpartum depression scale (EPDS), and the Pittsburgh Sleep Quality Index (PSQI). The Hebrew BiTS demonstrated high internal consistency for the total scale (Cronbach α = 0.90) and good internal consistency (Cronbach’s α = 0.75–0.85) for the subscales. An exploratory factor (EFA) analysis yielded a two-factors solution, accounting for 45% of variance, with general symptoms loaded on Factor 1, and childbirth-related symptoms loaded on Factor 2, with both factors demonstrating high internal consistency (Cronbach’s α = 0.90, 0.85, respectively). High convergent validity for the symptom cluster subscales was demonstrated with the parallel IES-R subscales, EPDS and PSQI. A two-step cluster analysis indicated that dysphoric and hyperarousal symptoms best differentiated the severity of symptoms of respondents across measures. In sum, the Hebrew BiTS was psychometrically sound, indicating its utility for clinical and non-clinical research. The EFA and cluster analyses support the differentiation between symptoms of dysphoria and hyperarousal from trauma (i.e., childbirth) specific symptoms, suggesting that symptoms relating to specific aspects of the trauma differ qualitatively from general symptom in the phenomenology of PPTSD. Further research using clinical samples and comparing the BiTS to DSM-5 diagnosis using clinical interview is needed.
机译:多达三分之二的妇女认为分娩是创伤性的,尽管各研究之间的患病率不同,但社区样本中约有2–5%的妇女可能会发生与分娩有关的产后创伤后应激障碍(PPTSD)。开发了城市出生创伤量表(BiTS),以解决对基于DSM-5的评估PPTSD的仪器的需求。 BiTS是一份自我报告调查表,涵盖了所有DSM-5 PTSD标准,包括四个症状群-重新体验,回避,负面情绪和认知以及过度兴奋的症状。本研究旨在描述心理测量特性并验证希伯来语版本的BiTS。使用社交媒体和雪球法对504名0至12个月大婴儿的母亲进行了采样。受访者完成了一项在线调查,其中包括人口统计学问卷和希伯来语版本的BiTS,事件量表修订的影响(IES-R),爱丁堡产后抑郁量表(EPDS)和匹兹堡睡眠质量指数(PSQI)。希伯来语BiTS在整个量表中显示出较高的内部一致性(Cronbachα= 0.90),在子量表中显示出良好的内部一致性(Cronbach′sα= 0.75–0.85)。探索性因素(EFA)分析产生了一个两因素解决方案,占方差的45%,在因素1上施加了一般症状,在因素2上施加了与分娩相关的症状,这两个因素均显示出较高的内部一致性(Cronbach'sα=分别为0.90、0.85)。平行的IES-R子量表EPDS和PSQI证明了症状簇子量表的高度收敛性。分为两步的聚类分析表明,烦躁不安和过度躁狂症状可以最好地区分各种措施中受访者的症状严重程度。总而言之,希伯来语BiTS在心理上是合理的,表明其可用于临床和非临床研究。 EFA和聚类分析支持焦虑症和烦躁不安症状与创伤(即分娩)特定症状之间的区别,这表明与创伤特定方面有关的症状与PPTSD现象学中的一般症状在质量上有所不同。需要使用临床样本进行进一步研究,并使用临床访谈将BiTS与DSM-5诊断进行比较。

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