Bonanno George A, Ho Samuel M Y, Chan Jane C K, Kwong Rosalie S Y, Cheung Celia K Y, Wong Claudia P Y, Wong Vivian C W
University of Hong Kong, Hong Kong.
Health Psychol. 2008 Sep;27(5):659-67. doi: 10.1037/0278-6133.27.5.659.
OBJECTIVE: To examine trajectories of psychological functioning using latent class analysis on a sample of hospitalized survivors of the 2003 severe acute respiratory syndrome (SARS) epidemic in Hong Kong. DESIGN: A longitudinal study of 997 survivors, recruited from among 1,331 individuals hospitalized for SARS, were interviewed at 6, 12, and 18 months after hospitalization. MAIN OUTCOME MEASURES: Psychological and physical functioning at each time point was measured using the 12-item Medical Outcome Study Short-Form Health Survey (SF-12). RESULTS: Four latent classes were identified--chronic dysfunction, delayed dysfunction, recovery, and resilience. All groups had better physical health than the chronic group. Resilient and recovered individuals had greater social support and less SARS-related worry, and resilient individuals were more likely to be male. The resilient group also had greater social support than the delayed group and better physical functioning than the recovered group. CONCLUSION: This study demonstrated that longitudinal outcome trajectories following a major health-threat event in an Asian sample bear close resemblance to prototypical trajectories observed in trauma studies using Western samples. Unique predictors of the trajectories included factors observed in previous studies, such as social support, as well as factors of particular relevance to a major disease outbreak, such as SARS-related worry.
目的:利用潜在类别分析方法,对香港2003年严重急性呼吸综合征(SARS)疫情中的住院幸存者样本的心理功能轨迹进行研究。 设计:一项对997名幸存者的纵向研究,这些幸存者从1331名因SARS住院的个体中招募,在住院后6个月、12个月和18个月接受访谈。 主要观察指标:使用12项医学结局研究简表健康调查(SF - 12)测量每个时间点的心理和身体功能。 结果:确定了四个潜在类别——慢性功能障碍、延迟性功能障碍、恢复和恢复力。所有组的身体健康状况均优于慢性组。具有恢复力和已恢复的个体有更多的社会支持且对SARS的担忧更少,具有恢复力的个体更可能为男性。具有恢复力的组比延迟组有更多的社会支持,且身体功能比已恢复组更好。 结论:本研究表明,在亚洲样本中,重大健康威胁事件后的纵向结局轨迹与使用西方样本的创伤研究中观察到的典型轨迹非常相似。这些轨迹的独特预测因素包括先前研究中观察到的因素,如社会支持,以及与重大疾病爆发特别相关的因素,如对SARS的担忧。
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