Factors influencing Chongqing nurses' HPV vaccination

A cross-sectional survey based on the 5C model

Bibliographic Data

ID22088807
AuthorsMei Li (0000-0003-0477-0590, Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University), M M Li (Chongqing Maternal and Child Health Hospital), Qin Chen (0009-0001-3695-2615, Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University), Qiyu Chen (0000-0001-8991-1481, Chongqing Maternal and Child Health Hospital), Quanpeng Chen (0009-0006-6175-4561, Chongqing Maternal and Child Health Hospital), Fang Wang (0000-0001-7353-9080, Chongqing Maternal and Child Health Hospital), Fulan Wang (Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University), Li Ding (0000-0003-1855-8574, Chongqing Maternal and Child Health Hospital, corresponding author)
Year2026
Volume14
Pages1789086-1789086
Publication date2026-05-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2026.1789086
PMID42180508
OpenAlexW7160560481
LanguageEN
References cited31

Objective: This study aimed to investigate the key factors influencing HPV vaccination behavior among nurses in Chongqing, China, based on the 5C psychological antecedents model. Methods: A cross-sectional survey was conducted among 550 nurses from public hospitals in Chongqing between April 2024 and July 2024 via an online questionnaire. A combination of convenience and snowball sampling was employed. The instrument gathered demographic data, HPV vaccination status, and responses to the 5C scale (Confidence, Complacency, Constraints, Calculation, and Collective Responsibility). Results: The HPV vaccination rate among nurses was 52.7%. Hierarchical binary logistic regression analysis revealed that age (OR = 0.939, 95% CI: 0.895-0.985), influence from friends and colleagues (OR = 3.821, 95% CI: 2.634-5.542), and constraints (OR = 0.870, 95% CI: 0.811-0.933) were significant predictors of vaccination status. In contrast, confidence, complacency, calculation and collective responsibility were not statistically significant in the final model. Conclusion: The HPV vaccination behavior of nurses in Chongqing is significantly influenced by age, social influence and structural barriers. To improve vaccination coverage, interventions should focus on leveraging peer influence, fostering a supportive vaccination climate, and systematically reducing constraints through convenient access and financial support. These findings contribute to understanding vaccine hesitancy among healthcare workers and inform strategies to achieve cervical cancer elimination goals in China

Cervical cancer · Cross-sectional study · Health care · Human papillomavirus · Logistic regression · Psychological intervention · Snowball sampling · Vaccination · Cervical Cancer and HPV Research · Influenza Virus Research Studies · Vaccine Coverage and Hesitancy

Tools

Open DOIOpen Access