{"title":"COVID-19 疫苗接种的社会心理模型：人口统计学、特质、政治信仰、疫苗接种意向、信息来源、强制要求和流感疫苗接种史的前因和并发效应。","authors":"Olivia Godfrey, Tim Bogg, Elizabeth Milad","doi":"10.1093/abm/kaad043","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To date, research investigating psychosocial correlates of COVID-19 vaccination has been cross-sectional, parochial, and/or reliant upon non-stratified international samples, resulting in difficulty in clarifying the contributions of various vaccination-related influences.</p><p><strong>Purpose: </strong>The present study tested a novel integration of prospective and concurrent associations of demographic and dispositional tendencies, intervening illness and preventive beliefs, vaccine intention, illness experiences, and concurrent contextual vaccine-related influences with subsequent COVID-19 vaccination.</p><p><strong>Methods: </strong>The preregistered study used a stratified online U.S. sample (N = 500), with assessments aligned to (a) \"15 days to slow the spread\" in March 2020, (b) vaccine authorization and major case/mortality surge during December 2020 and January 2021, and (c) the period following full vaccine approval in August 2021 during the third major/case mortality surge during September and October 2021.</p><p><strong>Results: </strong>Path modeling showed the absence of children in the household and greater education were prospective predictors of vaccination. Trait openness and less conservative political beliefs showed indirect prospective associations with vaccination via stronger intermediating vaccine intention. Contextual vaccine-related influences of vaccine-related information sources, employer mandates, and flu vaccine history also showed direct associations with vaccination. In contrast to expectations, lower conscientiousness showed a direct prospective association with vaccination.</p><p><strong>Conclusions: </strong>Controlling for interrelations among study variables, the results of the integrative psychosocial model clarified the unique contributions and pathways from antecedent characteristics to vaccination while accounting for vaccine-related contextual influences, providing further direction for refining the timing and content of public health messaging for vaccination.</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Psychosocial Model of COVID-19 Vaccination: Antecedent and Concurrent Effects of Demographics, Traits, Political Beliefs, Vaccine Intention, Information Sources, Mandates, and Flu Vaccine History.\",\"authors\":\"Olivia Godfrey, Tim Bogg, Elizabeth Milad\",\"doi\":\"10.1093/abm/kaad043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>To date, research investigating psychosocial correlates of COVID-19 vaccination has been cross-sectional, parochial, and/or reliant upon non-stratified international samples, resulting in difficulty in clarifying the contributions of various vaccination-related influences.</p><p><strong>Purpose: </strong>The present study tested a novel integration of prospective and concurrent associations of demographic and dispositional tendencies, intervening illness and preventive beliefs, vaccine intention, illness experiences, and concurrent contextual vaccine-related influences with subsequent COVID-19 vaccination.</p><p><strong>Methods: </strong>The preregistered study used a stratified online U.S. sample (N = 500), with assessments aligned to (a) \\\"15 days to slow the spread\\\" in March 2020, (b) vaccine authorization and major case/mortality surge during December 2020 and January 2021, and (c) the period following full vaccine approval in August 2021 during the third major/case mortality surge during September and October 2021.</p><p><strong>Results: </strong>Path modeling showed the absence of children in the household and greater education were prospective predictors of vaccination. Trait openness and less conservative political beliefs showed indirect prospective associations with vaccination via stronger intermediating vaccine intention. Contextual vaccine-related influences of vaccine-related information sources, employer mandates, and flu vaccine history also showed direct associations with vaccination. In contrast to expectations, lower conscientiousness showed a direct prospective association with vaccination.</p><p><strong>Conclusions: </strong>Controlling for interrelations among study variables, the results of the integrative psychosocial model clarified the unique contributions and pathways from antecedent characteristics to vaccination while accounting for vaccine-related contextual influences, providing further direction for refining the timing and content of public health messaging for vaccination.</p>\",\"PeriodicalId\":7939,\"journal\":{\"name\":\"Annals of Behavioral Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Behavioral Medicine\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1093/abm/kaad043\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Behavioral Medicine","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1093/abm/kaad043","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
A Psychosocial Model of COVID-19 Vaccination: Antecedent and Concurrent Effects of Demographics, Traits, Political Beliefs, Vaccine Intention, Information Sources, Mandates, and Flu Vaccine History.
Background: To date, research investigating psychosocial correlates of COVID-19 vaccination has been cross-sectional, parochial, and/or reliant upon non-stratified international samples, resulting in difficulty in clarifying the contributions of various vaccination-related influences.
Purpose: The present study tested a novel integration of prospective and concurrent associations of demographic and dispositional tendencies, intervening illness and preventive beliefs, vaccine intention, illness experiences, and concurrent contextual vaccine-related influences with subsequent COVID-19 vaccination.
Methods: The preregistered study used a stratified online U.S. sample (N = 500), with assessments aligned to (a) "15 days to slow the spread" in March 2020, (b) vaccine authorization and major case/mortality surge during December 2020 and January 2021, and (c) the period following full vaccine approval in August 2021 during the third major/case mortality surge during September and October 2021.
Results: Path modeling showed the absence of children in the household and greater education were prospective predictors of vaccination. Trait openness and less conservative political beliefs showed indirect prospective associations with vaccination via stronger intermediating vaccine intention. Contextual vaccine-related influences of vaccine-related information sources, employer mandates, and flu vaccine history also showed direct associations with vaccination. In contrast to expectations, lower conscientiousness showed a direct prospective association with vaccination.
Conclusions: Controlling for interrelations among study variables, the results of the integrative psychosocial model clarified the unique contributions and pathways from antecedent characteristics to vaccination while accounting for vaccine-related contextual influences, providing further direction for refining the timing and content of public health messaging for vaccination.
期刊介绍：
Annals of Behavioral Medicine aims to foster the exchange of knowledge derived from the disciplines involved in the field of behavioral medicine, and the integration of biological, psychosocial, and behavioral factors and principles as they relate to such areas as health promotion, disease prevention, risk factor modification, disease progression, adjustment and adaptation to physical disorders, and rehabilitation. To achieve these goals, much of the journal is devoted to the publication of original empirical articles including reports of randomized controlled trials, observational studies, or other basic and clinical investigations. Integrative reviews of the evidence for the application of behavioral interventions in health care will also be provided. .
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