Looking for resilience: Understanding the longitudinal trajectories of responses to stress

Looking for resilience: Understanding the longitudinal trajectories of responses to stress
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DOI:
10.1016/j.socscimed.2009.03.043
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发表时间:
2009-06-01
影响因子:
5.4
通讯作者:
Galea, Sandro
Galea, Sandro
中科院分区:
医学2区
文献类型:
--
作者:
Norris, Fran H.;Tracy, Melissa;Galea, Sandro

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利用1999年墨西哥洪水(n = 561)和2001年9月11日在纽约发生的恐怖袭击(n = 1267)之后收集的两个大型,人口和纵向数据集(n = 561),我们检查了韧性可能是最好理解并被视为可能发生创伤或严重压力后的一组轨迹的一个成员。我们假设在重大灾难发生后,耐药性,弹性,恢复,复发/恢复,延迟功能障碍和慢性功能障碍轨迹都是可能的。半参数基于群体的建模产生了抗药性(无或轻度稳定症状),韧性(最初是中度或重度症状,然后是急剧下降),恢复(最初是中度或重度症状,然后逐渐降低),,逐渐降低),产生了最有力的证据。和慢性功能障碍(中度或重度和稳定症状),因为这些轨迹在两个样品中都普遍存在。墨西哥和纽约都没有表现出复发/恢复轨迹,只有纽约表现出延迟的功能障碍轨迹。在大规模创伤事件发生后,了解旨在提高弹性并减少更多不良轨迹的干预措施的心理困扰模式可能会为干预措施带来机会。 (c)2009 Elsevier Ltd.保留所有权利。
Taking advantage of two large, population-based, and longitudinal datasets collected after the 1999 floods in Mexico (n = 561) and the September 11, 2001 terrorist attacks in New York (n = 1267), we examined the notion that resilience may be best understood and measured as one member of a set of trajectories that may follow exposure to trauma or severe stress. We hypothesized that resistance, resilience, recovery, relapsing/remitting, delayed dysfunction, and chronic dysfunction trajectories were all possible in the aftermath of major disasters. Semi-parametric group-based modeling yielded the strongest evidence for resistance (no or mild and stable symptoms), resilience (initially moderate or severe symptoms followed by a sharp decrease), recovery (initially moderate or severe symptoms followed by a gradual decrease), and chronic dysfunction (moderate or severe and stable symptoms), as these trajectories were prevalent in both samples. Neither Mexico nor New York showed a relapsing/remitting trajectory, and only New York showed a delayed dysfunction trajectory. Understanding patterns of psychological distress over time may present opportunities for interventions that aim to increase resilience, and decrease more adverse trajectories, after mass traumatic events. (C) 2009 Elsevier Ltd. All rights reserved.