Evidence map›Paper›PMID 38161990›Full record

ArticleVaccine: X2023

Association of COVID-19 information media, providers, and content with vaccine uptake among Tokyo residents.

Noriko Noguchi, Ryosuke Yokoi, Taichi Masu, Masataka Watanabe, Sayoko Itoh, Sayumi Yumoto

Abstract read
In one paragraph

Article in Vaccine: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Noriko NoguchiThe Systems Life Sciences Laboratory, Department of Medical Life Systems, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe 610-0394, Japan.
Ryosuke YokoiFaculty of Comprehension Psychology, Kyoto Tachibana University, Yamashina, Kyoto 607-8175, Japan.
Taichi MasuHarris Science Research Institute, Doshisha University, Kyotanabe 610-0394, Japan.
Masataka WatanabeThe Systems Life Sciences Laboratory, Department of Medical Life Systems, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe 610-0394, Japan.
Sayoko ItohThe Systems Life Sciences Laboratory, Department of Medical Life Systems, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe 610-0394, Japan.
Sayumi YumotoThe Systems Life Sciences Laboratory, Department of Medical Life Systems, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe 610-0394, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Information sourcesSubjective influenceTokyo residentsVaccine uptake

Identifiers

PMID38161990
PMCPMC10755116

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.