[Structural equation model analysis of infectious disease-specific health literacy scale in China]

Zhonghua Liu Xing Bing Xue Za Zhi. 2019 Feb 10;40(2):237-240. doi: 10.3760/cma.j.issn.0254-6450.2019.02.021.
[Article in Chinese]

Abstract

Objective: To explore the relationship between different dimensions of infectious disease-specific health literacy scale in China. Methods: Structural equation model (SEM) was employed to assess the psychometric properties of the infectious disease-specific health literacy scale. Based on the database from a randomly selected sample of 4 499 adult residents in three provinces in China, from March to May 2015. AMOS 21.0 software was used to build the SEM for data analyses. Results: SEM analyses showed a good model fit of data, with the following satisfied parameters: goodness-of-fit index was 0.969, adjusted goodness-of-fit index was 0.962, root mean square residual was 0.038, root mean square error of approximation was 0.038, standardized root mean square residual was 0.032, Tacker-Lewis index/non-normed fit index was 0.926, comparative fit index was 0.934, normed fit index was 0.925, relative fit index was 0.915, incremental fit index was 0.934, parsimony goodness-of-fit index was 0.782, parsimony-adjusted normed fit index was 0.817, parsimony-adjusted comparative fit index was 0.825 and critical N was 702. The established SEM showed that the total influence path coefficient of "infectious disease-related knowledge and values" on the "infectious disease prevention" , "management or treatment of infectious diseases" and "identification of infection sources" were 0.771, 0.744 and 0.843, respectively. The total influence path coefficients of "identification of infection sources" , "infectious disease prevention" on "management or treatment of infectious diseases" were 0.164 and 0.535, respectively. The effect of "infectious disease-related knowledge and values" on "management or treatment of infectious diseases" appeared the greatest (55.4%), followed by "infectious disease prevention" (28.6%) and "identification of infection sources" (2.7%). Conclusion: This SEM could be optimistically used for planning and evaluation of health education and promotion programs on infectious diseases prevention.

目的: 了解中国居民传染病健康素养测评量表不同维度之间的关系。 方法: 采用结构方程模型,使用2015年3-5月在我国3个省份随机抽取的4 499名城乡居民传染病健康素养数据库,运用AMOS 21.0软件构建结构方程模型进行分析。 结果: 结构方程模型适配度指标:适配度指数为0.969,调整后适配度指数为0.962,残差均方和平方根为0.038,渐进残差均方和平方根为0.038,标准化残差均方和平方根为0.032,非规准适配指数为0.926,比较适配指数为0.934,规准适配指数为0.925,相对适配指数为0.915,增量拟合指数为0.934,简约调整适配度指数为0.782,简约调整规准适配指数为0.817,简约调整比较适配指数为0.825,临界样本数为702,模型拟合效果良好。结构方程模型显示,传染病的基本知识与观念对传染病的预防、管理与治疗、辨认的总效应为0.771、0.744、0.843;传染病的辨认、预防对传染病管理与治疗的总效应分别为0.164、0.535。对传染病的管理与治疗影响强度最大的为传染病的基本知识与观念(55.4%);其次为传染病的预防(28.6%);而传染病的辨认影响较小(2.7%)。 结论: 提高我国居民传染病健康素养,重点是改善个体的传染病基本知识与观念、传染病预防技能。.

Keywords: Infectious disease-specific health literacy scale; Structural equation model.

MeSH terms

  • Adult
  • China
  • Health Literacy*
  • Humans
  • Models, Theoretical*
  • Psychometrics
  • Surveys and Questionnaires