{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T19:54:04Z","timestamp":1790711644650,"version":"4.1.0"},"reference-count":41,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T00:00:00Z","timestamp":1740614400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>As the first socio-demographic profiling of HPV vaccines in Chinese cities, this study assesses equity implications through compositional analysis of covered populations, with multilevel examination of vaccine-type selection determinants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>Utilizing HPV vaccination data obtained from the Jinnan Center for Disease Control and Prevention (CDC) spanning from 2018 to 2023, we conducted a retrospective analysis. Hierarchical logistic regression was employed to model the joint effects of age, ethnicity, occupation, and urban\u2013rural residence on vaccination behaviors. Vaccine type preference was categorized as bivalent, quadrivalent, or nonavalent.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Result<\/jats:title>\n                    <jats:p>\n                      Three key disparities were revealed in the analysis. Age-stratified access revealed the highest proportion of recipients among women aged 33\u201338\u202fyears (29.6%) and 39\u201344\u202fyears (21.9%), contrasting with less than 1% participation in the 9\u201314\u202fyear-old cohort. Educationally, 87.3% held at least a bachelor\u2019s degree, compared to 12.7% with below-college education (\n                      <jats:italic>\u03c7<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u202f6048.89,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt;\u202f0.001). Clear urban\u2013rural divide, with 99.7% of recipients in urban areas and just 0.3% in rural areas (\n                      <jats:italic>\u03c7<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u202f76.79,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt;\u202f0.001). Vaccine-type selection showed socioeconomic patterns, with nonavalent vaccines preferred by urban professionals (OR\u202f=\u202f1.577, 95% CI: 1.16\u20132.142) and those with incomes above 5000 yuan (OR\u202f=\u202f1.958, 95% CI: 0.26\u20133.527).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Demonstrating Hart\u2019s Inverse Care Law, Tianjin\u2019s program disproportionately immunizes socioeconomically secure urbanites. We propose: (1) school-based mandates for pre-sexual debut cohorts; (2) rural vaccination-social insurance integration; (3) domestic 9-valent vaccine development with needs-based subsidies. These evidence-based reforms are critical for achieving equitable 90% coverage by 2030.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2025.1428267","type":"journal-article","created":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T02:02:21Z","timestamp":1740621741000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Socioeconomic disparities in HPV vaccine uptake: multivariable analysis of vaccination data from Tianjin (2018\u20132023)"],"prefix":"10.3389","volume":"13","author":[{"given":"Jing","family":"Xiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,2,27]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"e197","DOI":"10.1016\/S2214-109X(22)00501-0","article-title":"Global estimates of incidence and mortality of cervical cancer in 2020: a baseline analysis of the WHO global cervical cancer elimination initiative","volume":"11","author":"Singh","year":"2023","journal-title":"Lancet Global Health"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1158\/1055-9965.EPI-23-0038","article-title":"Racial\/ethnic disparities in cervical cancer stage at diagnosis: mediating effects of neighborhood-level socioeconomic 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In: Raue M, Streicher B, Lermer E, eds. Perceived Safety: A Multidisciplinary Perspective","author":"Gaube","year":"2019","journal-title":"Risk Engineering series. 1st ed. 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