Suppr超能文献

路易斯安那州受 2010 年深海地平线石油泄漏事件影响的女性的 PTSD 症状特征:潜在剖面分析。

PTSD symptom profiles among Louisiana women affected by the 2010 Deepwater Horizon Oil Spill: A latent profile analysis.

机构信息

Departments of Pediatrics and Psychiatry and Human Behavior, Brown University Warren Alpert School of Medicine, Providence, RI, United States.

Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States.

出版信息

J Affect Disord. 2019 May 1;250:289-297. doi: 10.1016/j.jad.2019.03.018. Epub 2019 Mar 6.

Abstract

BACKGROUND

Few prior studies have investigated the latent class structure of PTSD using DSM-5 symptoms.

METHODS

To describe latent PTSD profiles among women who resided in Deepwater Horizon Oil Spill (DHOS)-affected coastal Louisiana communities, we used data from women enrolled in The Women and Their Children's Health (WaTCH) Study. Latent profile analysis was performed on the 20-item PTSD Checklist for DSM-5 (PCL-5) and model fit statistics for 2-class through 6-class solutions were compared. The pseudo-class draws method was employed on the best class solution to compare key covariates (including demographics, mental health indicators, DHOS exposure indicators, and trauma exposures) across classes.

RESULTS

Among 1997 women (mean age 46.63 ± 12.14 years, 56.8% white, mean trauma categories 6.09 ± 2.98, 9.55% previously diagnosed with PTSD), model fit statistics supported a five-class solution: low symptoms (mean PCL-5 = 4.10), moderate without mood alterations (mean = 19.73), moderate with mood alterations (mean = 34.24), severe without risk-taking (mean = 55.75), and severe with risk-taking (mean = 53.80). Women in the low-symptom class were significantly more likely to be white, have finished high school, have an income of at least $40,001 per year, be married or living with a partner, and endorse fewer trauma categories than women in the four symptomatic classes. Women with moderate to severe symptoms often had co-morbid depressive symptoms and no prior PTSD diagnosis.

LIMITATIONS

This study was limited by use of self-reported data and one-time assessment of PTSD symptoms.

DISCUSSION

Five distinct latent profiles of DSM-5 PTSD symptoms consisted of notably different individuals. Most affected women did not report prior PTSD diagnosis. Future research and practice identifying and addressing barriers to care for trauma-affected women in these communities is warranted.

摘要

背景

使用 DSM-5 症状研究创伤后应激障碍(PTSD)的潜在类别结构的先前研究较少。

方法

为了描述居住在深海地平线石油泄漏(DHOS)受灾沿海路易斯安那州社区的妇女的潜在 PTSD 特征,我们使用了参加妇女及其子女健康研究(WaTCH)的妇女的数据。对 20 项 PTSD 检查表 DSM-5(PCL-5)进行潜在特征分析,并比较了 2 类至 6 类解决方案的模型拟合统计数据。在最佳类别解决方案上采用伪类绘图方法,比较类别之间的关键协变量(包括人口统计学,心理健康指标,DHOS 暴露指标和创伤暴露)。

结果

在 1997 名妇女(平均年龄 46.63 ± 12.14 岁,56.8%为白人,平均创伤类别为 6.09 ± 2.98,9.55%先前被诊断为 PTSD)中,模型拟合统计数据支持五类别解决方案:低症状(平均 PCL-5 = 4.10),中度无情绪改变(平均 = 19.73),中度伴有情绪改变(平均 = 34.24),严重无冒险行为(平均 = 55.75)和严重冒险行为(平均 = 53.80)。低症状类别的妇女更有可能是白人,高中毕业后,收入至少为每年 40,001 美元,已婚或与伴侣同住,并且比四类有症状的妇女认同更少的创伤类别。中度至重度症状的妇女通常伴有共病抑郁症状,且无先前 PTSD 诊断。

局限性

本研究仅限于使用自我报告的数据和一次 PTSD 症状评估。

讨论

DSM-5 PTSD 症状的五个不同潜在特征包括明显不同的个体。大多数受影响的妇女没有报告先前的 PTSD 诊断。需要进一步研究和实践,以确定和解决这些社区中受创伤妇女的护理障碍。

相似文献

7
Identifying PTSD symptom typologies: A latent class analysis.识别 PTSD 症状类型:潜在类别分析。
Psychiatry Res. 2020 Mar;285:112779. doi: 10.1016/j.psychres.2020.112779. Epub 2020 Jan 23.

引用本文的文献

5
Post-traumatic stress disorder in major accidents: systematic review and meta-analysis.重大事故中的创伤后应激障碍:系统评价与荟萃分析
Rev Bras Med Trab. 2021 Sep 30;19(3):332-341. doi: 10.47626/1679-4435-2021-624. eCollection 2021 Jul-Sep.
6
A review of the toxicology of oil in vertebrates: what we have learned following the oil spill.油在脊椎动物体内的毒理学综述:溢油事件后的经验教训
J Toxicol Environ Health B Crit Rev. 2021 Nov 17;24(8):355-394. doi: 10.1080/10937404.2021.1975182. Epub 2021 Sep 19.

本文引用的文献

2
Gender and PTSD: different pathways to a similar phenotype.性别与创伤后应激障碍:通往相似表型的不同途径。
Curr Opin Psychol. 2017 Apr;14:44-48. doi: 10.1016/j.copsyc.2016.11.002. Epub 2016 Nov 16.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验