The relationship between social support and posttraumatic stress symptoms among youth exposed to a natural disaster.

The relationship between social support and posttraumatic stress symptoms among youth exposed to a natural disaster.
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DOI:
10.1080/20008198.2018.1450042
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发表时间:
2018
影响因子:
5
通讯作者:
Kelley ML
Kelley ML
中科院分区:
医学2区
文献类型:
--
作者:
Lai BS;Osborne MC;Piscitello J;Self-Brown S;Kelley ML

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背景:由于儿童的年龄和对成人的依赖,他们是自然灾害后的弱势群体。儿童在灾难后报告的主要问题是创伤后应激症状(PTSS)。先前的研究表明,创伤后应激障碍(PTSS)与社会支持呈负相关,而社会支持在灾难后往往会受到干扰。 目的:本研究探讨了受卡特里娜飓风影响的儿童的社会支持(来自父母、老师和同伴)与 PTSS 之间的关系。该研究通过研究随着时间的推移驱动这种关系的机制,为文献做出了贡献。 方法:在这项研究中,对 426 名儿童进行了四个时间点的随访,从卡特里娜飓风过后 3-7 个月开始,到飓风过后 25-27 个月结束。三种路径模型分析了社会支持(来自父母、老师和同伴,通过儿童社会支持量表衡量)和 PTSS(通过加州大学洛杉矶分校 PTSD 反应指数衡量)之间的关系。协变量包括儿童年龄、少数民族身份、性别、感知的生命威胁和实际的生命威胁。从最终模型中删除了不重要的路径。检查全局拟合指数以确定模型拟合度。 结果:在父母和同伴社会支持模型中,PTSS 对从一波到下一波的社会支持表现出统计上显着的影响。在教师模型中,这种情况仅在第 2 波和第 3 波之间成立。在同伴模型中,社会支持显示出对第 2 波和第 3 波之间的 PTSS 有统计上的显着影响(标准化估计=−0.26,p <.0001)。在家长和教师模型中,从社会支持到 PTSS 的路径不显着。 结论:研究结果支持社会选择模型,其中 PTSS 会破坏社会支持,尤其是在灾后的头两年。如果这些发现得到重复,这表明,在资金有限的情况下,鉴于 PTSS 对社会支持的连锁效应,应优先考虑 PTSS。
Background: Children are a vulnerable population following a natural disaster, due to their age and dependence on adults. The primary presenting problem children report after disasters is posttraumatic stress symptoms (PTSS). Prior research suggests that PTSS is inversely related to social support, which is often disrupted after a disaster. Objective: This study examined the relationship between social support (from parents, teachers, and peers) and PTSS in children affected by Hurricane Katrina. The research contributes to the literature by examining the mechanisms that drive this relationship over time. Methods: In this study, 426 children were followed over four timepoints, beginning 3–7 months after Hurricane Katrina and concluding 25–27 months post-hurricane. Three path models analysed the relationship between social support (from parents, teachers, and peers, measured by the Social Support Scale for Children) and PTSS (measured by the UCLA PTSD Reaction Index). Covariates included child age, minority status, gender, perceived life threat, and actual life threat. Nonsignificant paths were trimmed from the final models. Global fit indices were examined to determine model fit. Results: In the parent and peer social support models, PTSS exhibited statistically significant effects on social support from one wave to the next. In the teacher model, this was only true between Waves 2 and 3. Social support showed a statistically significant effect on PTSS between Wave 2 and Wave 3 in the peer model (standardized estimate = −0.26, p < .0001). No paths from social support to PTSS were significant in the parent and teacher models. Conclusion: Findings support a social selection model in which PTSS undermine social support, particularly in the first two years post-disaster. If these findings are replicated, this suggests that, in cases of limited funding, PTSS should be prioritized, given their cascading effects on social support.
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