Evidence map›Paper›PMID 35753496›Full record

ArticleJournal of affective disorders2022

The association between lifestyle and COVID-19 vaccine hesitancy in China: A large-scale cross-sectional survey.

Jian Wu, Dongyang Xu, Quanman Li, Clifford Silver Tarimo, Meiyun Wang, Jianqin Gu, Wei Wei, Xinyu Zhang, Yanli Huang, Mingze Ma and 3 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Sociodemographic and Lifestyle Factors Associated With COVID-19 Vaccine Uptake in a Mixed Urban-Rural Population in Eastern Poland.Medical science monitor : international medical journal of experimental and clinical research · 2026
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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

13 authors at 5 institutions in 2 countries.

Jian WuDepartment of Health management, College of Public Health, Zhengzhou University, Zhengzhou, China; Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China.
Dongyang XuDepartment of Health management, College of Public Health, Zhengzhou University, Zhengzhou, China; Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China.
Quanman LiDepartment of Health management, College of Public Health, Zhengzhou University, Zhengzhou, China; Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China.
Clifford Silver TarimoDepartment of Health management, College of Public Health, Zhengzhou University, Zhengzhou, China; Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China; Department of Science and Laboratory Technology, Dar es salaam Institute of Technology, Dar es Salaam, Tanzania.
Meiyun WangHenan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Jianqin GuSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Wei WeiHenan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Xinyu ZhangSchool of Public Health, Tianjin Medical University, Tianjin, China.
Yanli HuangManage and Service Center of Wuhou Medical Institutes, Chengdu, China.
Mingze MaDepartment of Health management, College of Public Health, Zhengzhou University, Zhengzhou, China; Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China.
Lipei ZhaoDepartment of Health management, College of Public Health, Zhengzhou University, Zhengzhou, China; Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China.
Zhanlei ShenDepartment of Health management, College of Public Health, Zhengzhou University, Zhengzhou, China; Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China.
Yudong MiaoDepartment of Health management, College of Public Health, Zhengzhou University, Zhengzhou, China; Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China. Electronic address: meldon@zzu.edu.cn.
Zhengzhou University · CNHenan Provincial People's Hospital · CNSouthern University of Science and Technology · CNTianjin Medical University · CNWuhou District People's Hospital, Chengdu · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the association between lifestyle and COVID-19 vaccine hesitancy among Chinese adults and provide recommendations for increasing vaccination rates.

methodsFrom August 6, 2021 to August 9, 2021, we recruited 29,925 participants from 31 Chinese provinces via an online questionnaire. We designed a question to assess COVID-19 vaccine hesitancy and used 16 items to assess lifestyle by calculating lifestyle scores. Odds ratios (OR) with 95 % confidence intervals (CI) were used to estimate the association by using binary logistic regression models.

resultsThe overall prevalence of COVID-19 vaccine hesitancy was 8.40 % (95 % CI: 8.09-8.72), and the median lifestyle score was 65.00 (interquartile range: 59.00-71.00). After adjusting for potential confounders, the COVID-19 vaccine hesitancy rate decreased significantly with an increase in lifestyle score (P for Trend <0.001). Low COVID-19 vaccine hesitancy rate was associated with lifestyle factors including adequate sleep, never smoking, intermittent drinking, good relationships, working and studying, using hand sanitizer, wearing masks, less gathering activities, and keeping social distance (P < 0.05).

conclusionOur findings indicate that high lifestyle score is associated with low vaccine hesitancy rate among Chinese. The government should view the smokers (or the drinkers) as the key to further boosting the vaccination rate. In addition, the publicity and education about wearing masks and keeping social distance should be prioritized.

Indexed as

COVID-19COVID-19 VaccinesAdultChinaCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHumansLife StyleVaccination HesitancyCOVID-19 VaccinesChinaCOVID-19LifestyleVaccine hesitancy

Identifiers

PMID35753496
PMCPMC9221685
OpenAlexW4283318281

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.