Neurobehavioral Symptom Profiles for the Behavioral Assessment Screening Tool in Chronic Traumatic Brain Injury.

Shannon B Juengst, Brittany Wright, Annalyn DeMello, Leia Vos, Fedora Biney, Luis Leon Novelo, Michael Williams
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Abstract

OBJECTIVE To identify neurobehavioral symptom profiles among persons with chronic traumatic brain injury (TBI) using the Behavioral Assessment Screening Tool (BAST) and to consider participant characteristics that differ between profile groups. SETTING Community. PARTICIPANTS Participants (n = 615) were English-speaking adults (≥18) and had a self-reported history of at least one TBI of any severity. DESIGN Secondary analysis of cross-sectional data. MAIN MEASURES The BAST measures neurobehavioral symptoms in the domains of Negative Affect, Fatigue, Executive Dysfunction, Impulsivity, and Substance Misuse. RESULTS Using latent profile analysis (LPA), we identified 3 different neurobehavioral profiles. Overall symptom frequency and differences in the pattern of symptom frequency across domains differentiated the profile groups. Average domain scores differed significantly across the profiles (P < .001) for all domains except Fatigue (P = .076). Those in profile 3 (High-Risk group) reported the most frequent symptoms across all domains (similar Negative Affect frequency as profile 1). Substance Misuse was especially high in this group. Compared to profile 2 (High Negative Affect group), participants in profile 1 (Moderate-Risk group) endorsed significantly more frequent (and more variable) symptoms across all BAST domains, particularly Impulsivity and Substance Misuse. Participants in profile 2 endorsed the least frequent symptoms across all domains. Demographic comparison showed that groups differed based on gender, age, and injury severity (mild vs moderate-severe), with profile 3 composed of the most men and the most persons in early adulthood, and profile 2 composed of the most women and those with mild TBI. CONCLUSIONS We differentiated 3 neurobehavioral symptom profiles among persons with chronic TBI and determined differences in sociodemographic factors between the groups. Future research should focus on validating these profiles in another sample of individuals with chronic TBI. Characterizing persons according to multidimensional symptom profiles could allow for more tailored approaches to predict and prevent long-term negative outcomes.
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用于慢性脑外伤行为评估筛查工具的神经行为症状档案。
目的利用行为评估筛查工具(BAST)确定慢性脑外伤(TBI)患者的神经行为症状特征,并考虑不同特征组之间存在差异的参与者特征。设计对横断面数据进行二次分析。主要测量BAST测量消极情绪、疲劳、执行功能障碍、冲动和药物滥用等领域的神经行为症状。结果通过潜伏特征分析(LPA),我们发现了3种不同的神经行为特征。总体症状频率和各领域症状频率模式的差异区分了不同的特征组。除疲劳(P = .076)外,各特征组在所有领域的平均得分均有显著差异(P < .001)。特征 3(高危组)报告的症状在所有领域中最为频繁(消极情绪频率与特征 1 相似)。该组的药物滥用率尤其高。与特征 2(高负性情绪组)相比,特征 1(中度风险组)的参与者在 BAST 的所有领域,特别是冲动性和药物滥用方面,症状出现的频率明显更高(且更多变)。特征 2 的参与者在所有领域中出现症状的频率最低。人口统计学比较显示,各组在性别、年龄和受伤严重程度(轻度与中重度)方面存在差异,特征 3 中男性最多,成年早期的人最多,特征 2 中女性和轻度 TBI 患者最多。未来的研究应侧重于在另一个慢性 TBI 患者样本中验证这些特征。根据多维症状特征对患者进行特征描述,可使预测和预防长期不良后果的方法更具针对性。
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