Liu Honghu, Prause Nicole, Wyatt Gail E, Williams John K, Chin Dorothy, Davis Teri, Loeb Tamra, Marchand Erica, Zhang Muyu, Myers Hector F
School of Dentistry-Public Health, Department of Medicine, David Geffen School of Medicine, University of California.
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles.
Psychol Assess. 2015 Sep;27(3):965-74. doi: 10.1037/pas0000069. Epub 2015 May 18.
The high burden of exposure to chronic life adversities and trauma is quite prevalent, but assessment of this risk burden is uncommon in primary care settings. This calls for a brief, multiple dimensional mental health risk screening tool in primary care settings. We aimed to develop such a screening tool named the University of California, Los Angeles (UCLA) Life Adversities Screener (LADS). Using pooled data across 4 studies from the UCLA Center for Culture, Trauma, and Mental Health Disparities, 5 domains of mental health risk including perceived discrimination, sexual abuse histories, family adversity, intimate partner violence, and trauma histories, were identified. Regression models for depression (Centers for Epidemiology Studies Depression Scale) and posttraumatic stress disorder (Posttraumatic Diagnostic Scale), controlling for demographic factors, were fitted to develop a weighted continuous scale score for the UCLA LADS. Confirmatory factor analysis supported the 5-domain structure, while item response theory endorsed the inclusion of each item. Receiver operating characteristic analysis indicated that the score was predictive for classifying subjects as reaching clinical threshold criteria for either depression (Beck Depression Inventory-II ≥ 14 or Patient Health Questionnaire-9 ≥ 10) or anxiety (Patient Health Questionnaire-13 ≥10). An optimal cut of 0.33 is suggested based on maximizing sensitivity and specificity of the LADS score, identifying patients at high risk for mental health problems. Given its predictive utility and ease of administration, the UCLA LADS could be useful as a screener to identify racial minority individuals in primary care settings who have a high trauma burden, needing more extensive evaluation.
长期暴露于慢性生活逆境和创伤的高负担情况相当普遍,但在初级保健环境中对这种风险负担的评估并不常见。这就需要在初级保健环境中使用一种简短的、多维度的心理健康风险筛查工具。我们旨在开发这样一种筛查工具,即加利福尼亚大学洛杉矶分校(UCLA)生活逆境筛查量表(LADS)。利用来自UCLA文化、创伤和心理健康差异中心的4项研究的汇总数据,确定了心理健康风险的5个领域,包括感知到的歧视、性虐待史、家庭逆境、亲密伴侣暴力和创伤史。针对抑郁(流行病学研究中心抑郁量表)和创伤后应激障碍(创伤后诊断量表)建立回归模型,并控制人口统计学因素,以制定UCLA LADS的加权连续量表得分。验证性因素分析支持了5个领域的结构,而项目反应理论认可了每个项目的纳入。受试者工作特征分析表明,该得分可预测将受试者分类为达到抑郁(贝克抑郁量表-II≥14或患者健康问卷-9≥10)或焦虑(患者健康问卷-13≥10)的临床阈值标准。基于最大化LADS得分的敏感性和特异性,建议最佳临界值为0.33,以识别有心理健康问题高风险的患者。鉴于其预测效用和易于实施,UCLA LADS可用作筛查工具,以识别初级保健环境中创伤负担高、需要更广泛评估的少数族裔个体。