马来西亚COVID-19大流行的预防行为、障碍和驱动因素:一项横断面调查

IF 0.3 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
N. A. Malik, R. Mohd, N. Kadir
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引用次数: 1

摘要

背景:2019冠状病毒病(COVID-19)是全球关注的公共卫生问题。本研究旨在评估马来西亚的预防行为、障碍和驱动因素,包括对COVID-19的知识和自我效能感。方法:在2019冠状病毒病暴发期间采用自填问卷进行横断面研究。所使用的工具是从世界卫生组织的资源中获得的。采用描述性统计对分类数据进行描述。采用卡方检验和独立t检验评价各变量与预防行为之间的相关性。结果:共记录回答者465人,占97.3%。平均年龄为34.3±11.8岁。受访者对新冠肺炎疫情的知晓率较高(99.4%),知晓率均值为18.74分(标准差[SD]: 2.51)。自我效能、障碍和驱动的平均得分分别为11.07分(SD: 1.72)、5.20分(SD: 2.81)和39.71分(SD: 5.17)。障碍(优势比[OR]: 1.10;95%可信区间[CI]: 1.01, 1.21;p < 0.05)和驱动因素(OR: 1.12;95% CI: 1.07, 1.17;p < 0.001)被发现是社会距离实践的预测因素。结论:知识和自我效能感处于良好水平,而自我效能感、障碍和驱动因素是决定预防行为的预测因素。对预防措施的坚持在很大程度上受到行为驱动因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preventive Behaviors, Barriers, and Drivers of the COVID-19 Pandemic in Malaysia: A Cross-sectional Survey
Background: Coronavirus disease 2019 (COVID-19) is a public health concern worldwide. This study aimed to assess the preventive behaviors, barriers, and drivers, including the knowledge and self-efficacy of COVID-19 in Malaysia. Methods: A cross-sectional study was conducted during the COVID-19 outbreak by using a self-administered questionnaire. The instrument used was adopted from the World Health Organization resources. Descriptive statistics were used to describe the categorical data. Chi-square and independent t-test were performed to evaluate the associations between the variables and preventive behaviors. Results: A total of 465 (97.3%) respondents were recorded. The mean age was 34.3 +/- 11.8 years old. A high percentage of the respondents (99.4%) were aware of the COVID-19 outbreak, and their knowledge mean score was 18.74 (Standard Deviation [SD]: 2.51). The mean scores of self-efficacy, barriers, and drivers were 11.07 (SD: 1.72), 5.20 (SD: 2.81), and 39.71 (SD: 5.17), respectively. Barriers (Odds Ratio [OR]: 1.10;95% Confidence Interval [CI]: 1.01, 1.21;p < 0.05) and drivers (OR: 1.12;95% CI: 1.07, 1.17;p < 0.001) were found to be predictors for social distancing practices. Conclusions: Knowledge and self-efficacy were found to be at good levels, whereas self-efficacy, barriers, and drivers were revealed to be the predictive factors in determining the preventive behaviors. Adherence to preventive measures was largely affected by the behavioral drivers.
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来源期刊
Makara Journal of Health Research
Makara Journal of Health Research MEDICINE, RESEARCH & EXPERIMENTAL-
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