Cargando…
Predictors of Pediatric COVID-19 vaccination: a case-control study in Tabriz, Iran
INTRODUCTION: COVID-19 vaccination of children can help reduce the severity of the infection and the death rate caused by it and also helps achieve herd immunity. The level of acceptance and high vaccination coverage is the main elements in the success of immunization programs. Children’s vaccinatio...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388523/ https://www.ncbi.nlm.nih.gov/pubmed/37525177 http://dx.doi.org/10.1186/s12887-023-04202-y |
_version_ | 1785082137696796672 |
---|---|
author | Sarbakhsh, Parvin Jafari, Nasrin Salemi, Saman Akbarnejad, Reza |
author_facet | Sarbakhsh, Parvin Jafari, Nasrin Salemi, Saman Akbarnejad, Reza |
author_sort | Sarbakhsh, Parvin |
collection | PubMed |
description | INTRODUCTION: COVID-19 vaccination of children can help reduce the severity of the infection and the death rate caused by it and also helps achieve herd immunity. The level of acceptance and high vaccination coverage is the main elements in the success of immunization programs. Children’s vaccination is dependent on their parent’s decision. This study aims to identify predictors of the children’s COVID-19 vaccination accomplishment by their parents. METHOD: In this case-control study, 577 vaccinated children as cases and 366 un-vaccinated children as controls were randomly selected from the general population of Tabriz, Iran 2022, and their data were collected by telephone calls and interviews with the children’s parents. Cases and controls were compared in terms of clinical and demographic factors of the child as well as the socioeconomic status (SES) of their parents by using a multivariable mixed-effect logistic regression model. RESULTS: According to the results of the multivariable logistic regression, the age of the child (OR = 1.26 95% CI (1.14, 1.40), p-value < 0.001), previous COVID-19 infection of the child (OR = 1.92, 95% CI (1.21, 3.04), p-value < 0.001), having no underlying disease in the child (OR = 1.76, 95% CI (1.02, 3.02), p-value = 0.04), the dwelling place of the household (the high-level dwelling in compared to a low level (OR = 3.34, 95% CI (1.6, 6.64), p-value = 0.001), the middle level of dwelling compared with low level (OR = 4.87, 95% CI (2.46, 9.51), p-value < 0.001)), and Father’s job (Employee and technician Fathers compared to worker fathers (OR = 2.99, 95% CI (1.55, 5.77), p-value = 0.001)) were significant independent predictors of children COVID-19 vaccination. CONCLUSION: Several demographic and socioeconomic factors were associated with children’s vaccination. Older children, children without any underlying disease, children with a history of COVID-19 infection, and children of parents with higher levels of SES were more likely to receive the COVID-19 vaccine. This finding can be considered in children’s vaccination policymaking. |
format | Online Article Text |
id | pubmed-10388523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103885232023-08-01 Predictors of Pediatric COVID-19 vaccination: a case-control study in Tabriz, Iran Sarbakhsh, Parvin Jafari, Nasrin Salemi, Saman Akbarnejad, Reza BMC Pediatr Research INTRODUCTION: COVID-19 vaccination of children can help reduce the severity of the infection and the death rate caused by it and also helps achieve herd immunity. The level of acceptance and high vaccination coverage is the main elements in the success of immunization programs. Children’s vaccination is dependent on their parent’s decision. This study aims to identify predictors of the children’s COVID-19 vaccination accomplishment by their parents. METHOD: In this case-control study, 577 vaccinated children as cases and 366 un-vaccinated children as controls were randomly selected from the general population of Tabriz, Iran 2022, and their data were collected by telephone calls and interviews with the children’s parents. Cases and controls were compared in terms of clinical and demographic factors of the child as well as the socioeconomic status (SES) of their parents by using a multivariable mixed-effect logistic regression model. RESULTS: According to the results of the multivariable logistic regression, the age of the child (OR = 1.26 95% CI (1.14, 1.40), p-value < 0.001), previous COVID-19 infection of the child (OR = 1.92, 95% CI (1.21, 3.04), p-value < 0.001), having no underlying disease in the child (OR = 1.76, 95% CI (1.02, 3.02), p-value = 0.04), the dwelling place of the household (the high-level dwelling in compared to a low level (OR = 3.34, 95% CI (1.6, 6.64), p-value = 0.001), the middle level of dwelling compared with low level (OR = 4.87, 95% CI (2.46, 9.51), p-value < 0.001)), and Father’s job (Employee and technician Fathers compared to worker fathers (OR = 2.99, 95% CI (1.55, 5.77), p-value = 0.001)) were significant independent predictors of children COVID-19 vaccination. CONCLUSION: Several demographic and socioeconomic factors were associated with children’s vaccination. Older children, children without any underlying disease, children with a history of COVID-19 infection, and children of parents with higher levels of SES were more likely to receive the COVID-19 vaccine. This finding can be considered in children’s vaccination policymaking. BioMed Central 2023-07-31 /pmc/articles/PMC10388523/ /pubmed/37525177 http://dx.doi.org/10.1186/s12887-023-04202-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Sarbakhsh, Parvin Jafari, Nasrin Salemi, Saman Akbarnejad, Reza Predictors of Pediatric COVID-19 vaccination: a case-control study in Tabriz, Iran |
title | Predictors of Pediatric COVID-19 vaccination: a case-control study in Tabriz, Iran |
title_full | Predictors of Pediatric COVID-19 vaccination: a case-control study in Tabriz, Iran |
title_fullStr | Predictors of Pediatric COVID-19 vaccination: a case-control study in Tabriz, Iran |
title_full_unstemmed | Predictors of Pediatric COVID-19 vaccination: a case-control study in Tabriz, Iran |
title_short | Predictors of Pediatric COVID-19 vaccination: a case-control study in Tabriz, Iran |
title_sort | predictors of pediatric covid-19 vaccination: a case-control study in tabriz, iran |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388523/ https://www.ncbi.nlm.nih.gov/pubmed/37525177 http://dx.doi.org/10.1186/s12887-023-04202-y |
work_keys_str_mv | AT sarbakhshparvin predictorsofpediatriccovid19vaccinationacasecontrolstudyintabriziran AT jafarinasrin predictorsofpediatriccovid19vaccinationacasecontrolstudyintabriziran AT salemisaman predictorsofpediatriccovid19vaccinationacasecontrolstudyintabriziran AT akbarnejadreza predictorsofpediatriccovid19vaccinationacasecontrolstudyintabriziran |