Evidence map›Paper›PMID 41469869›Full record

ArticleBMC public health2025

Multi-dimensional factors of behavioral intention of COVID-19 booster vaccination among people having contracted COVID-19-a 7-city study conducted during the last national major outbreak in China.

Xiaoying Zhang, Hui Lu, Yong Xu, Junqiang Ying, Xianying Wen, Lei Luo, Meng Wang, Muwen Liu, He Wang, Xingyi Geng and 7 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Platelet-rich plasma and stem cell therapies for spondylosis: a systematic review of randomized controlled trials.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Xiaoying ZhangCollege of Public Health, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
Hui LuOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, China.
Yong XuNeijiang Center for Disease Control and Prevention, Neijiang, China.
Junqiang YingNeijiang Center for Disease Control and Prevention, Neijiang, China.
Xianying WenMianyang Center for Disease Control and Prevention, Mianyang, China.
Lei LuoMianyang Center for Disease Control and Prevention, Mianyang, China.
Meng WangHangzhou Center for Disease Control and Prevention, Hangzhou, China.
Muwen LiuHangzhou Center for Disease Control and Prevention, Hangzhou, China.
He WangOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, China.
Xingyi GengJi'nan Center for Disease Control and Prevention, Ji'nan, China.
Xuchong ZhaoJi'nan Center for Disease Control and Prevention, Ji'nan, China.
Biyu HeShanghai Municipal Center for Health Promotion, Shanghai, China.
Tao LiuCommunity Health Service Center of Friendship Street, Baoshan District, Shanghai, China.
Remina MaimaitijiangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Qian YangSchool of Public Health and the Department of Geriatrics of the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Yanqiu YuSchool of Public Health, Fudan University, Shanghai, China. yuyanqiu@fudan.edu.cn.
Joseph T F LauPublic Mental Health Center, School of Mental Health, Wenzhou Medical University, Wenzhou, China. jlau@cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 reinfection rate is high, and COVID-19 remains a significant public health threat. Booster vaccination is effective in reducing reinfection and the severity of infection. To increase the booster vaccination rate among people having contracted COVID-19 (PCC), it is warranted to understand the prevalence and factors of behavioral intention to take up COVID-19 booster vaccination. Multi-dimensional factors, including cognitive factors (cognitive factors of illness representation (IR) and perceived inevitability of infection), emotional factors (emotional factors of IR and panic), psychosocial factors (depressive symptoms and social support), and a behavioral factor (social distancing behavior), were examined for their association with behavioral intention to take up COVID-19 booster vaccination after six months since the COVID-19 diagnosis (BI-BCV).

methodsAn anonymous cross-sectional online survey was conducted among the adult PCC population in seven cities located in eastern, southern, western, northern, and north-western China using stratified clustered sampling from December 27, 2022 through January 9, 2023, which is during China's last national major outbreak.

resultsA total of 5,757 PCC were included in the study. The prevalence of BI-BCV was 65.8%. Age, employment status, community type (rural/urban), chronic disease control status, marital status, education level, infection timing, and city were significantly associated with BI-BCV. The multivariate logistic regression yielded that IR constructs of treatment control, IR of illness coherence, social support, and social distancing behavior factors were positively associated with BI-BCV. In addition, IR of perceived consequences of COVID-19, perceived inevitability of infection, and depressive symptoms were negatively associated with BI-BCV. The emotional factors (panic and emotional IR) were non-significant.

conclusionsThe BI-BCV prevalence was lower than ideal and warrants health promotion. We found that some cognitions (IR constructs of illness coherence, treatment control, and perceived consequences of COVID-19 and perceived inevitability of infection), behavior (social distancing), psychosocial factors (depression and social support), but not emotional states related to COVID-19, were potential determinants of BI-BCV. Future longitudinal studies are warranted to confirm the findings. Health workers may consider modifications of the significant factors found in this study.

Indexed as

COVID-19COVID-19 VaccinesIntentionVaccinationAdolescentAdultAgedChinaCitiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedSARS-CoV-2Social SupportCOVID-19 VaccinesBooster vaccinationChinaCognitive factorsCOVID-19DepressionEmotional factorsIllness representationSocial distancingSocial support

Identifiers

PMID41469869
PMCPMC12754956

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.