Evidence map›Paper›PMID 41068776›Full record

ArticleBMC public health2025

Associations between parental protective motivation, behaviors, and child outcomes in allergic diseases: a cross-sectional study based on protection motivation theory.

Yinan He, Jinghua Wu, Xianglong Huang, Qinzhun Zhang, Xinmeng Yao, Yi Yu, Weihong Tang, Chengyin Ye

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yinan HeDepartment of Health Management, School of Public Administration, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Jinghua WuDepartment of Health Management, School of Public Administration, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Xianglong HuangDepartment of Pediatrics, Xihu District Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, 310012, Zhejiang, China.
Qinzhun ZhangDepartment of Health Management, School of Public Administration, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Xinmeng YaoDepartment of Epidemiology and Biostatistics, School of Public Health and Nursing, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Yi YuDepartment of Epidemiology and Biostatistics, School of Public Health and Nursing, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Weihong TangDepartment of Gastroenterology, Hangzhou Children's Hospital, Hangzhou, 310005, Zhejiang, China.
Chengyin YeDepartment of Health Management, School of Public Administration, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China. yechengyin@hznu.edu.cn.

Funding

National Natural Science Foundation of China 72374059Zhejiang Basic Public Welfare Scientific Research Project LGF22H260004
6 · The paper itself

Abstract

backgroundThe rising burden of pediatric allergic diseases underscores parental intentions and behaviors as critical to allergic prevention and management. This study aims to develop and validate a Protection Motivation Theory (PMT) based scale for parents of children with allergic diseases, and to examine the associations between parental protection motivation, their management intentions and behaviors, and pediatric health outcomes.

methodsWe conducted a cross-sectional study among parents of children with allergic diseases at Hangzhou Children's Hospital, Zhejiang Province, China, from July to December 2022. The PMT scale was developed using data from a pilot survey (N = 440) and validated in an empirical study (N = 443). Structural equation modeling mapped interconnections between parental protective motivation, intention, and behavior. Multiple linear regression explored PMT dimensions' association with parental intentions and behaviors, while machine learning models evaluated their clinical relevance to children's disease outcomes.

resultsThe PMT scale demonstrated good reliability (Cronbach's α coefficient = 0.844) and validity (χ

conclusionsOur findings reveal the relevance of measuring parental protective motivation as captured by the developed PMT scale. It had significant associations with key parental intentions and behaviors in managing childhood atopy. This implies the necessity of refined PMT-based interventions to support outcomes in childhood allergic disease management.

Indexed as

HypersensitivityMotivationParentsAdultChildChild, PreschoolChinaCross-Sectional StudiesFemaleHumansIntentionMaleReproducibility of ResultsSurveys and QuestionnairesAllergic diseaseParentsPrevention and control pathProtective motivation theoryScale development

Identifiers

PMID41068776
PMCPMC12512795

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.