Evidence map›Paper›PMID 41776451›Full record

ArticleBMC public health2026

Modeling breast cancer screening hesitancy among Chinese women: integrating the Knowledge-Attitude-Practice, health belief, and 5 C frameworks.

Yang Liao, Suhaily Mohd Hairon, Najib Majdi Yaacob, Tengku Alina Tengku Ismail, Li Luo

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yang LiaoDepartment of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Suhaily Mohd HaironDepartment of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia. suhailymh@usm.my.
Najib Majdi YaacobBiostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Tengku Alina Tengku IsmailDepartment of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Li LuoDepartment of Oncology, Guihang Guiyang Hospital, Guiyang, Guizhou, China.

Funding

Universiti Sains Malaysia under the Bridging Grant [Project No.: R501-LR-RND003-0000001478-0000].
6 · The paper itself

Abstract

backgroundBreast cancer screening hesitancy remains a major public health concern in China, where institutional screening resources are unevenly distributed. Breast self-examination is a simple, low-cost method suitable for resource-limited settings, yet participation remains suboptimal. Previous studies have predominantly focused on knowledge and beliefs in isolation, with limited integration of broader psychological constructs. This study examined psychological mechanisms by integrating the Knowledge-Attitude-Practice framework, the Health Belief Model, and a 5 C hesitancy model.

methodsA multistage cross-sectional survey of 849 Chinese women aged 18-70 years in Guizhou Province used three validated instruments: a 19-item Knowledge-Attitude-Practice questionnaire, a 22-item HBM scale, and a 20-item 5 C hesitancy scales. Structural equation modeling (SEM) assessed direct and mediated pathways among knowledge, practice, health beliefs, and hesitancy. Moderation analyses and multi-group invariance tests evaluated psychosocial and sociodemographic influences.

resultsThe item-level structural equation model demonstrated acceptable fit (CFI = 0.938, TLI = 0.934, RMSEA = 0.069, SRMR = 0.085). Knowledge and practice were significantly associated with Health Belief Model constructs, which subsequently showed distinct patterns of association with the five dimensions of the 5 C framework. The model demonstrated adequate explanatory capacity for key belief- and hesitancy-related constructs. Moderation analyses indicated that several structural relationships varied by self-efficacy, income, and education. Multi-group structural equation modeling supported structural invariance across demographic groups.

conclusionSelf-efficacy, perceived barriers, and cues to action were the strongest determinants of BSE hesitancy. The integrative KAP-HBM-5 C framework clarified the cognitive-belief-motivation pathways linking knowledge and practice to screening behavior. These findings highlight potential psychological leverage points for future intervention development, particularly with respect to strengthening self-efficacy, reducing perceived barriers, and enhancing actionable cues to promote sustainable screening behavior in community settings.

Indexed as

Breast NeoplasmsBreast Self-ExaminationEarly Detection of CancerHealth Belief ModelHealth Knowledge, Attitudes, PracticePatient Acceptance of Health CareAdolescentAdultAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMiddle AgedSurveys and Questionnaires5 CBreast cancer screening hesitancyChinese womenHealth belief modelKnowledge-Attitude-PracticeStructural equation modeling

Identifiers

PMID41776451
PMCPMC13067695

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.