Child Trajectories of Posttraumatic Stress after Natural Disasters
自然灾害后儿童创伤后应激的轨迹
基本信息
- 批准号:9729235
- 负责人:
- 金额:$ 8.39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2020-07-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdvocateCaringCharacteristicsChildChild DevelopmentChild Mental HealthChild RearingChild WelfareClinicalDataData AnalysesData SetDatabasesDevelopmentDisastersDistressEarly identificationEarly treatmentEarthquakesEventExposure toFloodsFrequenciesFutureGoalsGrowthHealthHealth PolicyHeterogeneityHurricaneIndividualInterventionLongitudinal StudiesMeasurementMeasuresMental HealthMeta-AnalysisMethodologyMethodsModelingNatural DisastersOutcomePatternPublishingReactionRecording of previous eventsReportingReproducibilityResearchResourcesRiskRisk FactorsSample SizeSamplingScienceSocial supportSourceTestingTheoretical modelTimeTornadoesTraumaTriageUnited States National Institutes of HealthWeatherWildfireWorkagedbasechild mental health serviceclimate changeclinical practicecopingcostevidence baseexperiencefallsflexibilityhigh riskknowledge baseminority childrennovelpost-traumatic stresspsychological distressresponsestress symptomstressor
项目摘要
Project Summary/Abstract
Natural disasters, including hurricanes, floods, earthquakes, tornadoes, and wildfires, present a
significant threat to the health and wellbeing of children. Disaster management experts advocate
that stepped care models of intervention are needed to address children’s mental health needs
after disasters. The goal of stepped care models is to triage children so that those at highest risk
for persistent distress (e.g., clinically elevated posttraumatic stress symptoms, PTSS, that endure
beyond 3 – 6 months postdisaster) receive the most intense levels of intervention. However, a
critical barrier to implementing stepped care models is that there is a paucity of information on
how and why children differ in the PTSS patterns (i.e., trajectories) after disasters. Thus, it is not
clear how to stratify children based on their risk for persistent PTSS. This proposal will utilize a
novel methodological approach, Integrative Data Analysis (IDA), to overcome the limitations of
drawing conclusions from the myriad of individual studies focused on children’s mental health
outcomes after disasters. Individual studies, while valuable in informing future directions for
research, are limited in terms of sample size, period of child development examined, postdisaster
assessment time frame, frequency of assessments, risk factors studied, and sample diversity.
IDA methods integrate individual level data from multiple studies, creating a pooled source of data
that is more powerful and diverse than any individual study. The proposed study will integrate
data from landmark studies of children’s reactions to four of the most costly disasters in U.S.
history (Hurricanes Andrew, Charley, Katrina, and Ike), using 3,245 observations of 1,653 children
aged 6 to 16 years, assessed from 3 to 25 months postdisaster. The objective of this proposal is
to use IDA to build an empirical knowledge base of data to understand which factors characterize
varying trajectories of PTSS. The Specific Aims include Aim 1: Develop an IDA methods
framework to synthesize data across four studies of children’s mental health outcomes after
devastating hurricanes; and Aim 2: Determine trajectories and associated risk factors of PTSS
following the hurricanes. The long-term goal of this study is to develop risk models to more
effectively use scarce postdisaster resources in stepped care models. Results will be directly
applicable to clinical practice by providing guidance for early identification of children at higher
risk of persistent PTSS.
项目概要/摘要
自然灾害,包括飓风、洪水、地震、龙卷风和野火,造成了
灾害管理专家倡导
需要采取分级护理干预模式来满足儿童的心理健康需求
灾难发生后,分级护理模式的目标是对儿童进行分类,以便那些处于最高风险的儿童。
持续性痛苦(例如,临床上升高的创伤后应激症状,PTSS,
灾后 3 至 6 个月)接受最强烈的干预。
实施阶梯式护理模式的关键障碍是缺乏相关信息
灾难后儿童的 PTSS 模式(即轨迹)如何以及为何有所不同 因此,事实并非如此。
明确如何根据儿童持续性 PTSS 的风险对他们进行分层。该提案将利用一个指标。
新颖的方法论,综合数据分析(IDA),克服了以下局限性:
从大量关注儿童心理健康的个体研究中得出结论
灾难后的结果,同时对于指导未来的方向很有价值。
研究的样本量、所检查的儿童发育时期、灾后情况均受到限制
评估时间框架、评估频率、研究的风险因素和样本多样性。
IDA 方法整合了来自多项研究的个体水平数据,创建了一个汇总数据源
拟议的研究将比任何单独的研究都更强大和多样化。
来自对儿童对美国损失最惨重的四场灾难的反应的里程碑式研究的数据
历史(飓风安德鲁、查理、卡特里娜和艾克),使用 1,653 名儿童的 3,245 次观察
年龄为 6 至 16 岁,在灾后 3 至 25 个月内进行评估 本提案的目标是。
使用 IDA 构建数据的经验知识库,以了解哪些因素表征
PTSS 的不同轨迹 具体目标包括目标 1:开发 IDA 方法。
综合四项关于儿童心理健康结果研究的数据的框架
毁灭性飓风;以及目标 2:确定 PTSS 的轨迹和相关风险因素
这项研究的长期目标是为更多人开发风险模型。
在分级护理模式中有效利用稀缺的灾后资源将产生直接的结果。
适用于临床实践,为儿童的早期识别提供指导
持续性 PTSS 的风险。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Evaluation of a Tool to Identify Child Sex Trafficking Victims in Multiple Healthcare Settings.
对在多个医疗机构中识别儿童性贩运受害者的工具进行评估。
- DOI:
- 发表时间:2018-12
- 期刊:
- 影响因子:0
- 作者:Greenbaum, V Jordan;Livings, Michelle S;Lai, Betty S;Edinburgh, Laurel;Baikie, Peggy;Grant, Sophia R;Kondis, Jamie;Petska, Hillary W;Bowman, Mary Jo;Legano, Lori;Kas;Self
- 通讯作者:Self
Trajectories of School Recovery After a Natural Disaster: Risk and Protective Factors.
自然灾害后学校恢复的轨迹:风险和保护因素。
- DOI:
- 发表时间:2019-03
- 期刊:
- 影响因子:0
- 作者:Lai, Betty S;Esnard, Ann;Wyczalkowski, Chris;Savage, Ryan;Shah, Hazel
- 通讯作者:Shah, Hazel
Posttraumatic Stress Symptom Trajectories Among Children After Disaster Exposure: A Review.
- DOI:10.1002/jts.22242
- 发表时间:2017-12-01
- 期刊:
- 影响因子:3.3
- 作者:B. Lai;Rayleen Lewis;M. Livings;A. La Greca;A. Esnard
- 通讯作者:A. Esnard
Sleep Problems and Posttraumatic Stress: Children Exposed to a Natural Disaster.
睡眠问题和创伤后应激:遭受自然灾害的儿童。
- DOI:10.1093/jpepsy/jsaa061
- 发表时间:2020-09-04
- 期刊:
- 影响因子:3.6
- 作者:B. Lai;A. La Greca;Courtney A. Colgan;Whitney M. Herge;Sherilynn F Chan;Julia Medzhitova;M. Short;B. Ausl;er;er
- 通讯作者:er
The relationship between social support and posttraumatic stress symptoms among youth exposed to a natural disaster.
遭受自然灾害的青少年的社会支持与创伤后应激症状之间的关系。
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Lai, Betty S;Osborne, Melissa C;Piscitello, Jennifer;Self;Kelley, Mary Lou
- 通讯作者:Kelley, Mary Lou
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Betty Sao-Hou Lai其他文献
Betty Sao-Hou Lai的其他文献
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{{ truncateString('Betty Sao-Hou Lai', 18)}}的其他基金
Child Trajectories of Postraumatic Stress after Natural Disasters
自然灾害后儿童创伤后应激的轨迹
- 批准号:
9371365 - 财政年份:2017
- 资助金额:
$ 8.39万 - 项目类别:
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