PDF(Pubmed)
Abstract：
UNASSIGNED: This study aimed to investigate the integration of the health belief model (HBM) and the theory of intention to plan preventive behavior for COVID-19 during the pandemic.
UNASSIGNED: In a cross-sectional study, a sample of 480 adult participants from different outpatient clinics were recruited in the study. The participant responded by self-report; the health belief model (HBM) scale, preventive behavior scale, subjective norms scale, the intention of planned behavior scale, and perceived control behavior scale were measured. The hypothesized causal path models were examined using SEM analysis.
UNASSIGNED: The HBM had significant effects on perceived behavior control (β=0.60, P=0.001), the intended preventive behavior (β=0.32, P=0.001), and subjective norm (β=0.53, P=0.001). Subsequently, the intention of preventive behavior (β==0.39, P=0.001) and subjective norms (β=0.27, P=0.001) significantly affected the performance of preventive behaviors. The estimated fitting criteria showed that the hypothesized model fits relatively well.
UNASSIGNED: The health belief model with the integration of subjective norms, perceived control behavior and mediation by the intention of planned behavior in a pathway relationship explains well the preventive behavior of COVID-19. The findings present a deeper understanding of how integrating HBM and intended planned behavior enhances people\'s preventive behavior against COVID-19.
UNASSIGNED: In a cross-sectional study, a sample of 480 adult participants from different outpatient clinics were recruited in the study. The participant responded by self-report; the health belief model (HBM) scale, preventive behavior scale, subjective norms scale, the intention of planned behavior scale, and perceived control behavior scale were measured. The hypothesized causal path models were examined using SEM analysis.
UNASSIGNED: The HBM had significant effects on perceived behavior control (β=0.60, P=0.001), the intended preventive behavior (β=0.32, P=0.001), and subjective norm (β=0.53, P=0.001). Subsequently, the intention of preventive behavior (β==0.39, P=0.001) and subjective norms (β=0.27, P=0.001) significantly affected the performance of preventive behaviors. The estimated fitting criteria showed that the hypothesized model fits relatively well.
UNASSIGNED: The health belief model with the integration of subjective norms, perceived control behavior and mediation by the intention of planned behavior in a pathway relationship explains well the preventive behavior of COVID-19. The findings present a deeper understanding of how integrating HBM and intended planned behavior enhances people\'s preventive behavior against COVID-19.
摘要：
■本研究旨在调查大流行期间健康信念模型（HBM）与计划COVID-19预防行为的意向理论的整合。
■在一项横断面研究中，本研究纳入了来自不同门诊诊所的480名成年参与者的样本.参与者通过自我报告做出回应；健康信念模型(HBM)量表，预防行为量表，主观规范量表，计划行为意图量表，并测量了感知控制行为量表。使用SEM分析检查了假设的因果路径模型。
■HBM对感知行为控制有显着影响（β=0.60，P=0.001），预期的预防行为(β=0.32，P=0.001)，主观范数(β=0.53,P=0.001)。随后，预防行为的意图(β=0.39,P=0.001)和主观规范(β=0.27,P=0.001)显著影响预防行为的表现。估计的拟合标准表明，假设的模型拟合相对较好。
■结合主观规范的健康信念模型，感知控制行为和计划行为意图在路径关系中的调解很好地解释了COVID-19的预防行为。这些发现对HBM和预期计划行为的整合如何增强人们对COVID-19的预防行为有了更深入的了解。
■在一项横断面研究中，本研究纳入了来自不同门诊诊所的480名成年参与者的样本.参与者通过自我报告做出回应；健康信念模型(HBM)量表，预防行为量表，主观规范量表，计划行为意图量表，并测量了感知控制行为量表。使用SEM分析检查了假设的因果路径模型。
■HBM对感知行为控制有显着影响（β=0.60，P=0.001），预期的预防行为(β=0.32，P=0.001)，主观范数(β=0.53,P=0.001)。随后，预防行为的意图(β=0.39,P=0.001)和主观规范(β=0.27,P=0.001)显著影响预防行为的表现。估计的拟合标准表明，假设的模型拟合相对较好。
■结合主观规范的健康信念模型，感知控制行为和计划行为意图在路径关系中的调解很好地解释了COVID-19的预防行为。这些发现对HBM和预期计划行为的整合如何增强人们对COVID-19的预防行为有了更深入的了解。
