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

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 v...

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Autores principales: Miao, Yudong, Zhang, Wanliang, Li, Yi, Wu, Jian, Xu, Dongyang, Gu, Jianqin, Wang, Meiyun, Wei, Wei, Ye, Beizhu, Miao, Chengyuan, Tarimo, Clifford Silver, Dong, Wenyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593211/
https://www.ncbi.nlm.nih.gov/pubmed/36304239
http://dx.doi.org/10.3389/fpubh.2022.918743
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author Miao, Yudong
Zhang, Wanliang
Li, Yi
Wu, Jian
Xu, Dongyang
Gu, Jianqin
Wang, Meiyun
Wei, Wei
Ye, Beizhu
Miao, Chengyuan
Tarimo, Clifford Silver
Dong, Wenyong
author_facet Miao, Yudong
Zhang, Wanliang
Li, Yi
Wu, Jian
Xu, Dongyang
Gu, Jianqin
Wang, Meiyun
Wei, Wei
Ye, Beizhu
Miao, Chengyuan
Tarimo, Clifford Silver
Dong, Wenyong
author_sort Miao, Yudong
collection PubMed
description 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 via 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(Q2) = 1.901 (1.718–2.103), P < 0.001; OR(Q3) = 2.373 (2.099–2.684), P < 0.001; and OR(Q4) = 3.765 (3.209–4.417), P < 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.
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spelling pubmed-95932112022-10-26 Association between lifestyle and COVID-19 vaccination: A national cross-sectional study Miao, Yudong Zhang, Wanliang Li, Yi Wu, Jian Xu, Dongyang Gu, Jianqin Wang, Meiyun Wei, Wei Ye, Beizhu Miao, Chengyuan Tarimo, Clifford Silver Dong, Wenyong Front Public Health Public Health 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 via 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(Q2) = 1.901 (1.718–2.103), P < 0.001; OR(Q3) = 2.373 (2.099–2.684), P < 0.001; and OR(Q4) = 3.765 (3.209–4.417), P < 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. Frontiers Media S.A. 2022-10-11 /pmc/articles/PMC9593211/ /pubmed/36304239 http://dx.doi.org/10.3389/fpubh.2022.918743 Text en Copyright © 2022 Miao, Zhang, Li, Wu, Xu, Gu, Wang, Wei, Ye, Miao, Tarimo and Dong. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Miao, Yudong
Zhang, Wanliang
Li, Yi
Wu, Jian
Xu, Dongyang
Gu, Jianqin
Wang, Meiyun
Wei, Wei
Ye, Beizhu
Miao, Chengyuan
Tarimo, Clifford Silver
Dong, Wenyong
Association between lifestyle and COVID-19 vaccination: A national cross-sectional study
title Association between lifestyle and COVID-19 vaccination: A national cross-sectional study
title_full Association between lifestyle and COVID-19 vaccination: A national cross-sectional study
title_fullStr Association between lifestyle and COVID-19 vaccination: A national cross-sectional study
title_full_unstemmed Association between lifestyle and COVID-19 vaccination: A national cross-sectional study
title_short Association between lifestyle and COVID-19 vaccination: A national cross-sectional study
title_sort association between lifestyle and covid-19 vaccination: a national cross-sectional study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593211/
https://www.ncbi.nlm.nih.gov/pubmed/36304239
http://dx.doi.org/10.3389/fpubh.2022.918743
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