Leri John, Cisler Josh M, Clark Shaunna L, Dodd Cody G, Siddiqui Saman, Taylor Leslie, Ayala Alexa, Stewart Sunita, Richmond Robyn, Shahidullah Jeffrey D, Rousseau Justin F, Hettema John M, Newport D Jeffrey, Wagner Karen D, Nemeroff Charles B
Department of Psychiatry and Behavioral Sciences, The University of Texas at Austin Dell Medical School, Austin, TX, USA.
Department of Psychiatry & Behavioral Sciences, Texas A&M University, College Station, TX, USA.
Chronic Stress (Thousand Oaks). 2025 Jun 20;9:24705470251350144. doi: 10.1177/24705470251350144. eCollection 2025 Jan-Dec.
Trauma exposure, posttraumatic stress disorder (PTSD), and substance use commonly co-occur among youth. Identifying specific subgroups of youth based on unique constellations across these domains may provide a novel way to identify and target youth at prospective risk for specific types of negative clinical outcomes.
Trauma exposed youth completed structured clinical assessments as part of a longitudinal study ( = 1826; ages 13-21). Latent class analyses identified distinct subgroups of youth based on lifetime trauma histories and current PTSD symptom and substance use inventories collected at the baseline study visit. Logistic regression analyses determined if the latent classes were associated with elevated risk for PTSD or substance use disorder (SUD) diagnoses as the 12-month follow-up study visit ( = 1029). Logistic regression models controlled for baseline clinical characteristics and demographic factors in a stepwise fashion to elucidate if latent classes carried conferred risk beyond established risk factors. Sensitivity analyses included latent profile analyses and predictive modeling with an alternative number of latent classes.
Four latent classes were identified which differentiated participants based on the type of trauma exposure, the number of PTSD symptoms endorsed, and the propensity to be engaged in polysubstance use. Latent classes which were characterized by exposure to interpersonal violence at the baseline study visit had an elevated risk of PTSD 12 months later, relative to the latent class which was principally exposed to incidental trauma (odds ratios ranged from 4.11-5.88). Likewise, a distinct latent class which was characterized by poly-substance use at the baseline study visit had an elevated risk of SUD diagnoses at the 12-month follow-up (odds ratio = 2.48). The findings were robust to sensitivity analyses.
These results highlight nuanced patterns of co-occurrences between trauma exposure, PTSD symptomatology, and substance use that differentiate unique sub-groups of youth at varying degrees of risk for negative clinical outcomes one year later. Evaluating the co-expression of trauma and psychopathology inventories, as opposed to only assessing the summative epidemiological indices of these constructs, may help identify adolescents who are most at risk for sustaining deleterious health outcomes.
创伤暴露、创伤后应激障碍(PTSD)和物质使用在青少年中常常同时出现。根据这些领域中独特的组合模式识别青少年的特定亚组,可能为识别和针对有特定类型负面临床结果潜在风险的青少年提供一种新方法。
作为一项纵向研究的一部分,遭受创伤的青少年完成了结构化临床评估(n = 1826;年龄13 - 21岁)。潜在类别分析根据终生创伤史以及在基线研究访视时收集的当前PTSD症状和物质使用清单,确定青少年的不同亚组。逻辑回归分析确定这些潜在类别是否与在12个月随访研究访视时PTSD或物质使用障碍(SUD)诊断的风险升高相关(n = 1029)。逻辑回归模型逐步控制基线临床特征和人口统计学因素,以阐明潜在类别是否携带超过既定风险因素的额外风险。敏感性分析包括潜在剖面分析和使用不同数量潜在类别的预测建模。
识别出四个潜在类别,这些类别根据创伤暴露类型、认可的PTSD症状数量以及多物质使用倾向对参与者进行区分。在基线研究访视时以人际暴力暴露为特征的潜在类别,相对于主要暴露于偶然创伤的潜在类别,在12个月后PTSD风险升高(优势比范围为4.11 - 5.88)。同样,在基线研究访视时以多物质使用为特征的一个独特潜在类别,在12个月随访时SUD诊断风险升高(优势比 = 2.48)。这些发现对敏感性分析具有稳健性。
这些结果突出了创伤暴露、PTSD症状学和物质使用之间细微的共现模式,这些模式区分了一年后有不同程度负面临床结果风险的独特青少年亚组。评估创伤和精神病理学清单的共表达,而不是仅评估这些构念的总体流行病学指标,可能有助于识别最有遭受有害健康结果风险的青少年。