Noguchi Noriko, Yokoi Ryosuke, Masu Taichi, Watanabe Masataka, Itoh Sayoko, Yumoto Sayumi
The Systems Life Sciences Laboratory, Department of Medical Life Systems, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe 610-0394, Japan.
Faculty of Comprehension Psychology, Kyoto Tachibana University, Yamashina, Kyoto 607-8175, Japan.
Vaccine X. 2023 Nov 19;15:100411. doi: 10.1016/j.jvacx.2023.100411. eCollection 2023 Dec.
To elucidate appropriate ways to induce behavior that prevents the spread of infection, we examined the association between COVID-19 vaccination and COVID-19-related information after more than 85% of the population had been vaccinated. Nonprobability quota sampling was used to recruit 2000 Tokyo residents as participants. The association between previous vaccine uptake and how much people thought they were affected by each of nine media, seven providers, and four content types of information was assessed using an online survey form. Subjective influence was assessed, and order logistic regression analyses were performed. We further calculated standardized partial regression coefficients for the independent variables. The results showed that while people did not think they were strongly affected by any COVID-19 information, significant positive associations between 9 of 20 variables, and significant negative associations between 7 of 20 variables were observed with vaccine uptake. The regression analysis involving the interaction terms between independent variables and sex showed a significant association between vaccine uptake and only daily conversation. Simple slope analysis showed a stronger positive association for females than for males. Regression analysis with interaction terms between each independent variable and age showed a significant association between vaccine uptake and print newspapers, social networking services, prefectural governors, family/relatives, accessibility, side effects, and supply visibility. Simple slope analysis also showed that the positive association between the subjective influence of newspapers and vaccine uptake was observed only for older people (≥69 years), and that of prefectural governors was more significant for older than younger people (≤32 years). In contrast, the trustworthy information provided by family/relatives was positively associated with vaccine uptake only for younger people. These results suggest that careful consideration must be given to the differences in age and sex to provide appropriate information that motivates Tokyo residents to receive vaccination during COVID-19 pandemic.
为了阐明诱导预防感染传播行为的适当方法，我们在超过85%的人口接种疫苗后，研究了新冠疫苗接种与新冠相关信息之间的关联。采用非概率配额抽样方法招募了2000名东京居民作为参与者。通过在线调查问卷评估先前的疫苗接种情况与人们认为自己受到九种媒体、七种信息提供者以及四种信息内容类型中每一种影响程度之间的关联。评估主观影响，并进行有序逻辑回归分析。我们还计算了自变量的标准化偏回归系数。结果显示，虽然人们认为自己没有受到任何新冠信息的强烈影响，但在20个变量中的9个变量与疫苗接种之间观察到显著的正相关，在20个变量中的7个变量与疫苗接种之间观察到显著的负相关。涉及自变量与性别交互项的回归分析表明，疫苗接种与仅日常交谈之间存在显著关联。简单斜率分析显示，女性的正相关比男性更强。涉及每个自变量与年龄交互项的回归分析表明，疫苗接种与印刷报纸、社交网络服务、知事、家人/亲属、可及性、副作用以及供应可见性之间存在显著关联。简单斜率分析还表明，报纸的主观影响与疫苗接种之间的正相关仅在老年人（≥69岁）中观察到，而知事的主观影响在老年人（≤32岁）中比年轻人更显著。相比之下，家人/亲属提供的可信信息仅与年轻人的疫苗接种呈正相关。这些结果表明，在新冠疫情期间，必须仔细考虑年龄和性别的差异，以提供能够促使东京居民接种疫苗的适当信息。
