Association between lifestyle and COVID-19 vaccination: A national cross-sectional study.

Yudong Miao, Wanliang Zhang, Yi Li, Jian Wu, Dongyang Xu, Jianqin Gu, Meiyun Wang, Wei Wei, Beizhu Ye, Chengyuan Miao, Clifford Silver Tarimo, Wenyong Dong
Author Information
  1. Yudong Miao: Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
  2. Wanliang Zhang: Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
  3. Yi Li: Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
  4. Jian Wu: Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
  5. Dongyang Xu: Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
  6. Jianqin Gu: Research Center for Lifestyle Medicine, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
  7. Meiyun Wang: Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
  8. Wei Wei: Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
  9. Beizhu Ye: Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
  10. Chengyuan Miao: Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
  11. Clifford Silver Tarimo: Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
  12. Wenyong Dong: Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.

Abstract

Objective: To assess lifestyles, COVID-19 vaccination coverage rates, and the relationships between lifestyles and COVID-19 vaccination among Chinese population.
Methods: We collected data on sociodemographics, perception of the COVID-19 pandemic, lifestyles, and self-reported COVID-19 vaccination an online survey in China. The chi-square goodness-of-fit test was used to monitor sample saturation throughout the formal online survey. The binary logistic regression analyses were conducted to examine the association between COVID-19 vaccination rate and lifestyle score. We assigned values to 12 lifestyles ranging from positive to negative, with positive lifestyles receiving a higher score and negative lifestyles receiving a lower score, ranging from 1 to 5. For each participant, the total lifestyle scored from 12 to 56. Restricted cubic spline (RCS) was used to visualize the trends and correlations between lifestyle score and COVID-19 vaccination coverage. Propensity score matching (PSM) was used to explore the association between specific lifestyles and COVID-19 vaccination.
Results: A total of 29,925 participants (51.4% females) responded. The lifestyle score of the sample was 44.60 ± 6.13 (scoring range: 12-56). COVID-19 vaccination rate was found to be 89.4% (89.1-89.8%). Female participants reported a higher vaccination rate than male participants (91.5 vs. 87.1%). Compared to Q1, COVID-19 vaccination coverage rates increased with lifestyle total scores [OR = 1.901 (1.718-2.103), < 0.001; OR = 2.373 (2.099-2.684), < 0.001; and OR = 3.765 (3.209-4.417), < 0.001]. After applying PSM, it was determined that all the 12 specific healthy lifestyles analyzed, including maintaining a healthy body weight, a healthy diet, regular physical exercises, adequate sleep, regular physical examination, and others, were found to be positive factors for COVID-19 vaccination.
Conclusion: The majority of mainland Chinese lived a healthy lifestyle throughout the COVID-19 pandemic, and the rate of COVID-19 vaccination was high. Specific healthy lifestyles contributed to COVID-19 vaccination coverage rates significantly. According to the study's findings, global efforts to achieve herd immunity should be prioritized by continually promoting healthy lifestyles and improving public perception of COVID-19 vaccines.

Keywords

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MeSH Term

Humans
Male
Female
COVID-19 Vaccines
Cross-Sectional Studies
COVID-19
Pandemics
Life Style
Vaccination

Chemicals

COVID-19 Vaccines

Word Cloud

Created with Highcharts 10.0.0COVID-19vaccinationlifestyleslifestylescorehealthycoveragerateratesused12positive1totalparticipants=<0ChineseperceptionpandemiconlinesurveyChinasamplethroughoutassociationrangingnegativereceivinghigher5matchingPSMspecific4%found89001OR23regularphysicalObjective:assessrelationshipsamongpopulationMethods:collecteddatasociodemographicsself-reportedchi-squaregoodness-of-fittestmonitorsaturationformalbinarylogisticregressionanalysesconductedexamineassignedvalueslowerparticipantscored56RestrictedcubicsplineRCSvisualizetrendscorrelationsPropensityexploreResults:2992551femalesresponded4460±613scoringrange:12-561-898%Femalereportedmale91vs871%ComparedQ1increasedscores[OR901718-2103373099-2684765209-4417001]applyingdeterminedanalyzedincludingmaintainingbodyweightdietexercisesadequatesleepexaminationothersfactorsConclusion:majoritymainlandlivedhighSpecificcontributedsignificantlyAccordingstudy'sfindingsglobaleffortsachieveherdimmunityprioritizedcontinuallypromotingimprovingpublicvaccinesAssociationvaccination:nationalcross-sectionalstudypropensity

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