Health Behavior Research Group, Department of Community Medicine, School of Public Health, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China.
Int J Behav Med. 2011 Jun;18(2):93-104. doi: 10.1007/s12529-010-9123-8.
Understanding population responses to influenza helps optimize public health interventions. Relevant theoretical frameworks remain nascent.
To model associations between trust in information, perceived hygiene effectiveness, knowledge about the causes of influenza, perceived susceptibility and worry, and personal hygiene practices (PHPs) associated with influenza.
Cross-sectional household telephone surveys on avian influenza A/H5N1 (2006) and pandemic influenza A/H1N1 (2009) gathered comparable data on trust in formal and informal sources of influenza information, influenza-related knowledge, perceived hygiene effectiveness, worry, perceived susceptibility, and PHPs. Exploratory factor analysis confirmed domain content while confirmatory factor analysis was used to evaluate the extracted factors. The hypothesized model, compiled from different theoretical frameworks, was optimized with structural equation modelling using the A/H5N1 data. The optimized model was then tested against the A/H1N1 dataset.
The model was robust across datasets though corresponding path weights differed. Trust in formal information was positively associated with perceived hygiene effectiveness which was positively associated with PHPs in both datasets. Trust in formal information was positively associated with influenza worry in A/H5N1 data, and with knowledge of influenza cause in A/H1N1 data, both variables being positively associated with PHPs. Trust in informal information was positively associated with influenza worry in both datasets. Independent of information trust, perceived influenza susceptibility associated with influenza worry. Worry associated with PHPs in A/H5N1 data only.
Knowledge of influenza cause and perceived PHP effectiveness were associated with PHPs. Improving trust in formal information should increase PHPs. Worry was significantly associated with PHPs in A/H5N1.
了解人群对流感的反应有助于优化公共卫生干预措施。相关的理论框架仍处于起步阶段。
建立信任信息、感知卫生效果、对流感病因的了解、易感性和担忧与个人卫生习惯(PHPs)之间的关联模型,用于流感。
在禽流感 A/H5N1(2006 年)和大流行性流感 A/H1N1(2009 年)期间进行了横断面家庭电话调查,收集了关于对流感信息的正式和非正式来源的信任、与流感相关的知识、感知卫生效果、担忧、易感性和 PHPs 的可比数据。探索性因素分析证实了域内容,而验证性因素分析则用于评估提取的因素。从不同的理论框架中综合出假设模型,使用禽流感 A/H5N1 数据进行结构方程建模进行优化。然后使用 A/H1N1 数据集对优化模型进行测试。
该模型在两个数据集中均具有稳健性,尽管相应的路径权重不同。对正式信息的信任与感知卫生效果呈正相关,而在两个数据集中,感知卫生效果与 PHPs 呈正相关。在禽流感 A/H5N1 数据中,对正式信息的信任与流感担忧呈正相关,而在 A/H1N1 数据中,对正式信息的信任与流感病因的知识呈正相关,这两个变量均与 PHPs 呈正相关。对非正式信息的信任与两个数据集中的流感担忧呈正相关。独立于信息信任,感知流感易感性与流感担忧相关。在禽流感 A/H5N1 数据中,担忧与 PHPs 相关。
对流感病因的了解和感知 PHPs 效果与 PHPs 相关。提高对正式信息的信任度应会增加 PHPs。在禽流感 A/H5N1 中,担忧与 PHPs 显著相关。