key: cord-0074545-0x0xmhge
authors: Yang, Haiyang; Ma, Jingjing
title: Factors Associated With Chinese Adults’ Vaccine Acceptance
date: 2021-07-09
journal: JAMA Health Forum
DOI: 10.1001/jamahealthforum.2021.1466
sha: 822647db868f2cf1073305f1a5d26cee074325e3
doc_id: 74545
cord_uid: 0x0xmhge

This survey study assesses disparities in COVID-19 vaccine acceptance and identifies approaches to improve vaccination rates among adults in China.

To recruit a nationally representative sample, we worked with a leading research agency in China. This agency operates an online survey panel with over 4 million respondents across all provincial regions in mainland China. We drew a nationally representative sample based on gender, age, and location criteria. 14,378 qualified adults were randomly drawn from the panel, and were sent a survey link along with the description of the study. See below for a comparison of the key demographic variables of our sample and the population in mainland China. Note: Mainland China regional population statistics are from the National Bureau of Statistics.

The data collection was solely funded by Peking University. The survey was conducted following the guidelines by AAPOR. Participants were given ample time to review the consent information, and consented before responding to the questionnaire. They responded anonymously, and could terminate their participation at any point. The survey questions included two parts: (1) questions related to COVID-19 vaccination and (2) 

Participants who were not yet willing to vaccinate (i.e., those who indicated "绝对不会"

["definitely will not"] or "可能不会" ["probably will not"] or 不确定 ["not sure"] in response to the question "当您所居住的地方开始打疫苗的时候，您会接种新冠病毒疫苗吗？" ["When COVID-19 vaccination begins in your area, will you get vaccinated?"]), were randomly shown one of the following questions: 

response to this annual household income scale was coded as a continuous variable by taking the midpoint of the respective income interval when a fixed-range scale item was selected. When an open-range item was chosen, we recoded the response using the lower bound. The value was then divided by twelve to create a monthly household income in ¥10,000) 

OLS regressions were used to analyze the associations between socio-demographic variables and vaccine acceptance.

To examine the role of vaccine knowledge in the significant associations between the three socio-demographic variables (Gender, Income, Education) and vaccine acceptance, we Table 2 .

Getting the most out of the GSS income measures. Chicago: National Opinion Research Center

Introduction to mediation, moderation, and conditional process analysis: A regression-based approach