Factors influencing psychological distress during a disease epidemic: Data from Australia's first outbreak of equine influenza
Factors influencing psychological distress during a disease epidemic: Data from Australia's first outbreak of equine influenza
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DOI：
10.1186/1471-2458-8-347
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发表时间：
2008-10-03
影响因子：
4.5
通讯作者：
Raphael, Beverley
中科院分区：
文献类型：
--
作者：
Taylor, Melanie R.;Agho, Kingsley E.;Raphael, Beverley
背景：2007 年，澳大利亚首次爆发高传染性马流感。政府疾病控制措施已到位，以控制、遏制和根除该疾病；这些措施包括行动限制和财产隔离。这项研究的目的是评估这种疾病的心理社会影响，本文报告了这次疫情期间心理困扰的患病率和影响因素。方法：通过在线调查收集数据，并通过多个行业团体链接到受影响人群。根据凯斯勒 10 心理困扰量表确定的心理困扰是主要结果衡量标准。结果：共有 2760 人参与了这项研究。在这项研究中，受访者报告了极高水平的非特异性心理困扰，其中 34% 的人报告了高度心理困扰 (K10 > 22)，而澳大利亚普通人群的这一比例约为 12%。使用向后逐步二元 Logistic 回归分析显示，生活在高风险感染（红色）区（OR = 2.00；95% CI：1.57-2.55；p < 0.001）和疾病缓冲（琥珀色）区（OR = 1.83；95% CI：1.36-2.46；p < 0.001）的人比生活在疾病缓冲区（OR = 1.83；95% CI：1.36-2.46；p < 0.001）的人面临更高的心理困扰风险。未感染（白色区域）。尽管在受感染的EI地区和州，高度心理困扰的患病率更高，但全国马主的心理困扰水平却较高。统计分析表明，某些群体更容易遭受高度心理困扰；特别是年轻人和正规教育水平较低的人。主要收入来源来自马匹相关产业的受访者出现较高心理困扰的可能性是那些主要收入来源与马匹相关产业无关的受访者的两倍以上（OR = 2.23；95% CI：1.82-2.73；p < 0.001）。结论：虽然从方法上讲，本研究具有良好的内部效度，但由于无法准确地识别、限制或抽样目标人群，其普遍性有限。然而，这项研究首次收集了此类疾病爆发期间受影响人群的心理困扰数据，并有可能为那些参与评估人类传染病（例如大流行性流感）的潜在心理影响的人员提供信息。
Background: In 2007 Australia experienced its first outbreak of highly infectious equine influenza. Government disease control measures were put in place to control, contain, and eradicate the disease; these measures included movement restrictions and quarantining of properties. This study was conducted to assess the psycho-social impacts of this disease, and this paper reports the prevalence of, and factors influencing, psychological distress during this outbreak.Methods: Data were collected using an online survey, with a link directed to the affected population via a number of industry groups. Psychological distress, as determined by the Kessler 10 Psychological Distress Scale, was the main outcome measure.Results: In total, 2760 people participated in this study. Extremely high levels of non-specific psychological distress were reported by respondents in this study, with 34% reporting high psychological distress (K10 > 22), compared to levels of around 12% in the Australian general population. Analysis, using backward stepwise binary logistic regression analysis, revealed that those living in high risk infection (red) zones (OR = 2.00; 95% CI: 1.57-2.55; p < 0.001) and disease buffer (amber) zones (OR = 1.83; 95% CI: 1.36-2.46; p < 0.001) were at much greater risk of high psychological distress than those living in uninfected (white zones). Although prevalence of high psychological distress was greater in infected EI zones and States, elevated levels of psychological distress were experienced in horse-owners nationally. Statistical analysis indicated that certain groups were more vulnerable to high psychological distress; specifically younger people, and those with lower levels of formal educational qualifications. Respondents whose principal source of income was from horse-related industry were more than twice as likely to have high psychological distress than those whose primary source of income was not linked to horse-related industry (OR = 2.23; 95% CI: 1.82-2.73; p < 0.001).Conclusion: Although, methodologically, this study had good internal validity, it has limited generalisability because it was not possible to identify, bound, or sample the target population accurately. However, this study is the first to collect psychological distress data from an affected population during such a disease outbreak and has potential to inform those involved in assessing the potential psychological impacts of human infectious diseases, such as pandemic influenza.