南京市3~11岁儿童父母对子女接种新冠肺炎疫苗加强针的意愿

葛金金; 刘黎; 吴奇峰; 许新鹏; 尤华

doi:10.16835/j.cnki.1000-9817.2022.09.011

南京市3~11岁儿童父母对子女接种新冠肺炎疫苗加强针的意愿

doi: 10.16835/j.cnki.1000-9817.2022.09.011

1.
南京医科大学公共卫生学院, 江苏 211166
2.
江苏省南京市疾病预防控制中心

基金项目:

国家自然科学基金项目 72074122

江苏省卫生健康发展研究中心开放课题 JSHD2021052

详细信息

作者简介:
葛金金(1997-), 女, 安徽亳州人, 在读硕士, 主要研究方向为社区医学与健康教育

通讯作者:
尤华, E-mail: youhua98@163.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R186 G478 R193
计量
- 文章访问数: 470
- HTML全文浏览量: 218
- PDF下载量: 39
- 被引次数: 0
出版历程
- 收稿日期: 2022-04-06
- 修回日期: 2022-06-11
- 网络出版日期: 2022-09-23
- 刊出日期: 2022-09-25

Parents' willingness to vaccinate their children aged 3-11 years with the COVID-19 booster vaccine in Nanjing

GE Jinjin¹,
LIU Li²,
WU Qifeng¹,
XU Xinpeng¹,
YOU Hua^{1
, ,}

1.
School of Public Health, Nanjing Medical University, Nanjing (211166), China

摘要

摘要: 目的基于计划行为理论探究南京市父母为3~11岁子女接种新型冠状病毒肺炎疫苗(以下简称"新冠肺炎疫苗")加强针的意愿, 为开展该年龄段儿童新冠肺炎疫苗加强针接种工作提供理论依据。方法采用多阶段分层整群抽样方法选取南京市1 286名3~11岁儿童父母, 用基于计划行为理论编制的问卷调查其对子女接种新冠肺炎疫苗加强针的意愿, 应用结构方程模型开展数据分析。结果 90.2%的家长愿意为子女接种新冠肺炎疫苗加强针。基于计划行为理论构建的模型可以解释加强针接种意愿方差变异的42.2%。行为态度和感知行为控制对父母为子女接种新冠肺炎疫苗加强针的意愿具有直接正向影响(路径系数分别为0.47和0.18, P值均 < 0.01);主观规范对接种意愿的直接影响无统计学意义; 感知行为控制和主观规范可以通过行为态度对接种意愿产生间接正向影响(路径系数分别为0.27和0.13, P值均 < 0.01)。结论南京市父母为3~11岁子女接种新冠肺炎疫苗加强针的意愿较高。计划行为理论对父母为子女接种新冠肺炎疫苗加强针的意愿具有较好的解释能力, 行为态度是促进接种意愿形成的主要因素。
- 法定监护人 /
- 冠状病毒属 /
- 接种 /
- 疫苗 /
- 儿童
Abstract: Objective To investigate parents' acceptance to the COVID-19 vaccine booster shots for their children aged 3-11 years in Nanjing based on the theory of planned behavior, and to provide a scientific theoretical basis for carrying out COVID-19 booster vaccination among children of this age group. Methods A total of 1 286 parents of children aged 3-11 years in Nanjing were selected by multistage stratified cluster sampling. A questionnaire survey based on the theory of planned behavior was used to investigate their willingness to vaccinate their children with the COVID-19 booster dose, and structural equation model was used to conduct data analysis. Results About 90.2% of parents were willing to give their children a booster dose of the COVID-19 vaccine. The model constructed based on the theory of planned behavior could explain 42.2% of the variance of vaccination acceptance. Attitudes and perceived behavioral control had a direct positive effect on parents' acceptance to booster dose of the COVID-19 vaccine (path coefficients were 0.47 and 0.18, P < 0.01); The direct effect of subjective norms on vaccination acceptance was not statistically significant; Perceived behavioral control and subjective norms could have indirect positive effects on vaccination acceptance through attitudes (path coefficients were 0.27 and 0.13, P < 0.01). Conclusion Parents in Nanjing have a higher acceptance to vaccinate their children aged 3-11 years with the COVID-19 vaccine booster dose. The theory of planned behavior shows a good explanatory ability on parents' acceptance to vaccinate their children, and attitude plays an important role in the formation of vaccination acceptance.
- Legal guardians /
- Coronavirus /
- Vaccination /
- Vaccines /
- Child
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

HTML全文

表 1 家长为子女接种新冠肺炎疫苗加强针意愿与TPB各维度关系的结构方程模型中各测量模型间弗奈尔-拉克准则的区别效度检验(n=1 286)

Table 1. Discriminant validity tests among measurement models in the structural equation model of the relationship between parents' willingness to vaccinate their children with COVID-19 booster dose and each dimension of TPB: Fornell-Larcker Criterion(n=1 286)

变量	行为态度	感知行为控制	主观规范
行为态度	0.95
感知行为控制	0.74	0.85
主观规范	0.62	0.59	0.86
接种意愿	0.64	0.56	0.45

下载: 导出CSV

表 2 家长为子女接种新冠肺炎疫苗加强针意愿与TPB各维度关系的结构方程模型中各测量模型间HTMT值的区别效度检验(n=1 286)

Table 2. Discriminant validity tests among measurement models in the structural equation model of the relationship between parents' willingness to vaccinate their children with COVID-19 booster dose and each dimension of TPB(HTMT)(n=1 286)

变量	感知行为控制	主观规范	接种意愿
感知行为控制	0.82
主观规范	0.67	0.63
接种意愿	0.67	0.58	0.46

下载: 导出CSV

参考文献(33)

[1]	LI K, ZHAO Z, WEI H, et al. Feasibility of booster vaccination in high-risk populations for controlling coronavirus variants-China, 2021[J]. China CDC Wkly, 2021, 3(50): 1071-1074. doi: 10.46234/ccdcw2021.259
[2]	CHENCHULA S, KARUNAKARAN P, SHARMA S, et al. Current evidence on efficacy of COVID-19 booster dose vaccination against the Omicron variant: a systematic review[J]. J Med Virol, 2022, 94(7): 2969-2976. doi: 10.1002/jmv.27697
[3]	HAUSE A M, BAGGS J, MARQUEZ P, et al. Safety monitoring of COVID-19 vaccine booster doses among persons aged 12-17 years-United States, December 9, 2021-February 20, 2022[J]. Morb Mortal Weekly Rep, 2022, 71(9): 347-351. doi: 10.15585/mmwr.mm7109e2
[4]	AJZEN I. The theory of planned behavior[J]. Organ Behav Hum Dec, 1991, 50(2): 179-211. doi: 10.1016/0749-5978(91)90020-T
[5]	XIAO X, WONG R M. Vaccine hesitancy and perceived behavioral control: a Meta-analysis[J]. Vaccine, 2020, 38(33): 5131-5138. doi: 10.1016/j.vaccine.2020.04.076
[6]	HOSSAIN M B, ALAM M Z, ISLAM M S, et al. Health belief model, theory of planned behavior, or psychological antecedents: what predicts COVID-19 vaccine hesitancy better among the bangladeshi adults?[J]. Front Public Health, 2021, 9: 711066. doi: 10.3389/fpubh.2021.711066
[7]	GOLDMAN R D, YAN T D, SEILER M, et al. Caregiver willingness to vaccinate their children against COVID-19: cross sectional survey[J]. Vaccine, 2020, 38(48): 7668-7673. doi: 10.1016/j.vaccine.2020.09.084
[8]	ZHANG KC, FANG Y, CAO H, et al. Parental acceptability of COVID-19 vaccination for children under the age of 18 years: cross-sectional online survey[J]. JMIR Pediatr Parent, 2020, 3(2): e24827. doi: 10.2196/24827
[9]	YANG J, LIAO Y, HUA Q, et al. A survey of awareness of COVID-19 knowledge, willingness and influencing factors of COVID-19 vaccination[J]. Vaccines (Basel), 2022, 10(4): 524. doi: 10.3390/vaccines10040524
[10]	URBACH N, AHLEMANN F. Structural equation modeling in information systems research using partial least squares[J]. J Inform Technol Theory Applic, 2010, 11(2): 5-40.
[11]	HENSELER J R, RINGLE C M, SARSTEDT M. A new criterion for assessing discriminant validity in variance-based structural equation modeling[J]. J Acad Market Sci, 2015, 43(1): 115-135. doi: 10.1007/s11747-014-0403-8
[12]	WETZELS M, ODEKERKEN-SCHRODER G, VAN OPPEN C. Using pls path modeling for assessing hierarchical construct models: guidelines and empirical illustration[J]. Mis Quart, 2009, 33(1): 177-195. doi: 10.2307/20650284
[13]	HU L T, BENTLER P M. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives[J]. Struct Equ Model, 1999, 6(1): 1-55. doi: 10.1080/10705519909540118
[14]	QIN C, WANG R, TAO L, et al. Acceptance of a third dose of COVID-19 vaccine and associated factors in China based on health belief model: a national cross-sectional study[J]. Vaccines (Basel), 2022, 10(1): 89. doi: 10.3390/vaccines10010089
[15]	YADETE T, BATRA K, NETSKI D M, et al. Assessing acceptability of COVID-19 vaccine booster dose among adult americans: a cross-sectional study[J]. Vaccines (Basel), 2021, 9(12): 1424. doi: 10.3390/vaccines9121424
[16]	FAN C W, CHEN I H, KO N Y, et al. Extended theory of planned behavior in explaining the intention to COVID-19 vaccination uptake among mainland Chinese university students: an online survey study[J]. Hum Vacc Immunoth, 2021, 17(10): 3413-3420. doi: 10.1080/21645515.2021.1933687
[17]	STOUT M E, CHRISTY S M, WINGER J G, et al. Self-efficacy and HPV vaccine attitudes mediate the relationship between social norms and intentions to receive the HPV vaccine among college students[J]. J Commun Health, 2020, 45(6): 1187-1195. doi: 10.1007/s10900-020-00837-5
[18]	MIR H H, PARVEEN S, MULLICK N H, et al. Using structural equation modeling to predict Indian people's attitudes and intentions towards COVID-19 vaccination[J]. Diabet Metab Synd, 2021, 15(3): 1017-1022. doi: 10.1016/j.dsx.2021.05.006
[19]	HUSAIN F, SHAHNAWAZ M G, KHAN N H, et al. Intention to get COVID-19 vaccines: exploring the role of attitudes, subjective norms, perceived behavioral control, belief in COVID-19 misinformation, and vaccine confidence in Northern India[J]. Hum Vacc Immunoth, 2021, 17(11): 3941-3953. doi: 10.1080/21645515.2021.1967039
[20]	PAN F, ZHAO H, NICHOLAS S, et al. Parents' decisions to vaccinate children against COVID-19: a scoping review[J]. Vaccines (Basel), 2021, 9(12): 1467. doi: 10.3390/vaccines9121467
[21]	XU Y, XU D, LUO L, et al. A cross-sectional survey on COVID-19 vaccine hesitancy among parents from Shandong vs. Zhejiang[J]. Front Public Health, 2021, 9: 779720. doi: 10.3389/fpubh.2021.779720
[22]	DI GIUSEPPE G, PELULLO C P, VOLGARE A S, et al. Parents' willingness to vaccinate their children with COVID-19 vaccine: results of a survey in Italy[J]. J Adolesc Health, 2022, 70(4): 550-558. doi: 10.1016/j.jadohealth.2022.01.003
[23]	TEMSAH M H, ALHUZAIMI A N, ALJAMAAN F, et al. Parental attitudes and hesitancy about COVID-19 vs. routine childhood vaccinations: a national survey[J]. Front Public Health, 2021, 9: 752323. doi: 10.3389/fpubh.2021.752323
[24]	GALANIS P, VRAKA I, SISKOU O, et al. Willingness, refusal and influential factors of parents to vaccinate their children against the COVID-19: a systematic review and Meta-analysis[J]. Prev Med, 2022, 157: 106994. doi: 10.1016/j.ypmed.2022.106994
[25]	DAVIS T P, J R, YIMAM A K, KALAM M A, et al. Behavioural determinants of COVID-19 vaccine acceptance in rural areas of six lower-and middle-income countries[J]. Vaccines (Basel), 2022, 10(2): 214. doi: 10.3390/vaccines10020214
[26]	GENDLER Y, OFRI L. Investigating the influence of vaccine literacy, vaccine perception and vaccine hesitancy on israeli parents' acceptance of the COVID-19 vaccine for their children: a cross-sectional study[J]. Vaccines (Basel), 2021, 9(12): 1391. doi: 10.3390/vaccines9121391
[27]	GULJAS S, BOSNIC Z, SALHA T, et al. Lack of informations about COVID-19 vaccine: from implications to intervention for supporting public health communications in COVID-19 pandemic[J]. Int J Environ Res Public Health, 2021, 18(11): 6141. doi: 10.3390/ijerph18116141
[28]	LIU Y, MA Q, LIU H, et al. Public attitudes and influencing factors toward COVID-19 vaccination for adolescents/children: a scoping review[J]. Public Health, 2022, 205: 169-181. doi: 10.1016/j.puhe.2022.02.002
[29]	LI J Y, WEN TJ, MCKEEVER R, et al. Uncertainty and negative emotions in parental decision-making on childhood vaccinations: extending the theory of planned behavior to the context of conflicting health information[J]. J Health Commun, 2021, 26(4): 215-224. doi: 10.1080/10810730.2021.1913677
[30]	常峰, 刘欣. 慢性病患者药店购药行为意向的影响机制探讨: 计划行为理论视角下的实证研究[J]. 中国全科医学, 2015, 18(12): 1431-1435. https://www.cnki.com.cn/Article/CJFDTOTAL-CMYJ202005005.htm FENG C, XIN L. Influencing mechanism of consuming intention in pharmacy among patients with chronic diseases-empirical study from the perspective of the theory of planned behavior[J]. Chin Gener Practic, 2015, 18(12): 1431-1435. https://www.cnki.com.cn/Article/CJFDTOTAL-CMYJ202005005.htm
[31]	THAKER J, GANCHOUDHURI S. The role of attitudes, norms, and efficacy on shifting COVID-19 vaccine intentions: a longitudinal study of COVID-19 vaccination intentions in New Zealand[J]. Vaccines (Basel), 2021, 9(10): 1132. doi: 10.3390/vaccines9101132
[32]	SZILAGYI P G, SHAH M D, DELGADO J R, et al. Parents' intentions and perceptions about COVID-19 vaccination for their children: results from a national survey[J]. Pediatrics, 2021, 148(4): e2021052335. doi: 10.1542/peds.2021-052335
[33]	MCEACHAN R, CONNER M, TAYLOR N J, et al. Prospective prediction of health-related behaviours with the theory of planned behaviour: a Meta-analysis[J]. Health Psychol Rev, 2011, 5(2): 97-144. doi: 10.1080/17437199.2010.521684