Literature DB >> 32713679

An innovative housing-related measure for individual socioeconomic status and human papillomavirus vaccination coverage: A population-based cross-sectional study.

Kathy L MacLaughlin1, Robert M Jacobson2, Jennifer L St Sauver3, Debra J Jacobson4, Chun Fan4, Chung-Il Wi4, Lila J Finney Rutten3.   

Abstract

BACKGROUND: Human papillomavirus (HPV) is a known cause of anogenital (eg, cervical) and oropharyngeal cancers. Despite availability of effective HPV vaccines, US vaccination-completion rates remain low. Evidence is conflicting regarding the association of socioeconomic status (SES) and HPV vaccination rates. We assessed the association between SES, defined by an individual validated Housing-based Index of Socioeconomic Status (HOUSES), and HPV vaccination status.
METHODS: We conducted a cross-sectional study of children/adolescents 9-17 years as of December 31, 2016, living in southeastern Minnesota by using a health-record linkage system to identify study-eligible children/adolescents, vaccination dates, and home addresses matched to HOUSES data. We analyzed the relationship between HPV vaccination status and HOUSES using multivariable Poisson regression models stratifying by age, sex, race, ethnicity, and county.
RESULTS: Of 20,087 study-eligible children/adolescents, 19,363 (96.4%) were geocoded and HOUSES measures determined. In this cohort, 57.9% did not receive HPV vaccination, 15.8% initiated (only), and 26.3% completed the series. HPV vaccination-initiation and completion rates increased over higher SES HOUSES quartiles (P < .001). Rates of HPV vaccination initiation versus unvaccinated increased across HOUSES quartiles in multivariable analysis adjusted for age, sex, race, ethnicity, and county (1st quartile, referent; 2nd quartile, 0.97 [0.87-1.09]; 3rd quartile, 1.05 [0.94-1.17]; 4th quartile, 1.15 [1.03-1.28]; test for trend, P = .002). HOUSES was a stronger predictor of HPV vaccination completion versus unvaccinated (1st quartile referent; 2nd quartile, 1.06 [0.96-1.16]; 3rd quartile, 1.12 [1.03-1.23]; 4th quartile, 1.32 [1.21-1.44]; test for trend, P < .001). Significant interactions were shown for HPV vaccination initiation by HOUSES for sex (P = .009) and age (P = .006).
CONCLUSION: The study showed disparities in HPV vaccination by SES, with the highest HOUSES quartiles associated with increased rates of initiating and even greater likelihood of completing the series. HOUSES data may be used to target and tailor HPV vaccination interventions to undervaccinated populations.
Copyright © 2020 Mayo Clinic. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Ethnic groups; Papillomavirus vaccines; Social class; Vaccination

Mesh:

Substances:

Year:  2020        PMID: 32713679      PMCID: PMC7484398          DOI: 10.1016/j.vaccine.2020.07.026

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  37 in total

1.  A national study of HPV vaccination of adolescent girls: rates, predictors, and reasons for non-vaccination.

Authors:  Laura M Kester; Gregory D Zimet; J Dennis Fortenberry; Jessica A Kahn; Marcia L Shew
Journal:  Matern Child Health J       Date:  2013-07

2.  Concordance between Individual vs. Area-Level Socioeconomic Measures in an Urban Setting.

Authors:  Nirmala P Narla; Maria R Pardo-Crespo; Timothy J Beebe; Jeff Sloan; Barbara Yawn; Arthur R Williams; Young J Juhn
Journal:  J Health Care Poor Underserved       Date:  2015-11

3.  A multilevel analysis of factors influencing the inaccuracy of parental reports of adolescent HPV vaccination status.

Authors:  Milkie Vu; Minh Luu; Regine Haardörfer; Carla J Berg; Cam Escoffery; Robert A Bednarczyk
Journal:  Vaccine       Date:  2019-01-06       Impact factor: 3.641

4.  A Population-Based Study of Sociodemographic and Geographic Variation in HPV Vaccination.

Authors:  Lila J Finney Rutten; Patrick M Wilson; Debra J Jacobson; Amenah A Agunwamba; Carmen Radecki Breitkopf; Robert M Jacobson; Jennifer L St Sauver
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-02-14       Impact factor: 4.254

5.  Geographic disparity, area poverty, and human papillomavirus vaccination.

Authors:  Sandi L Pruitt; Mario Schootman
Journal:  Am J Prev Med       Date:  2010-05       Impact factor: 5.043

6.  Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Walter A Rocca
Journal:  Am J Epidemiol       Date:  2011-03-23       Impact factor: 4.897

7.  HPV Vaccination Coverage Among US Teens Across the Rural-Urban Continuum.

Authors:  Allison L Swiecki-Sikora; Kevin A Henry; Deanna Kepka
Journal:  J Rural Health       Date:  2019-01-31       Impact factor: 4.333

8.  Human Papillomavirus Vaccination for Adults: Updated Recommendations of the Advisory Committee on Immunization Practices.

Authors:  Elissa Meites; Peter G Szilagyi; Harrell W Chesson; Elizabeth R Unger; José R Romero; Lauri E Markowitz
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2019-08-16       Impact factor: 17.586

9.  A new socioeconomic status measure for vaccine research in children using individual housing data: a population-based case-control study.

Authors:  Rachel Hammer; Conrad Capili; Chung-Il Wi; Euijung Ryu; Jennifer Rand-Weaver; Young J Juhn
Journal:  BMC Public Health       Date:  2016-09-21       Impact factor: 3.295

10.  Attitudes, Knowledge and Factors Associated with Human Papillomavirus (HPV) Vaccine Uptake in Adolescent Girls and Young Women in Victoria, Australia.

Authors:  Iris L Y Tung; Dorothy A Machalek; Suzanne M Garland
Journal:  PLoS One       Date:  2016-08-26       Impact factor: 3.240

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  2 in total

1.  Socioeconomic disadvantage and human papillomavirus (HPV) vaccination uptake.

Authors:  Shaheen Kurani; Kathy L MacLaughlin; Robert M Jacobson; Jennifer L St Sauver; Gregory D Jenkins; Chun Fan; Debra J Jacobson; Jonathan Inselman; Xuan Zhu; Joan M Griffin; Lila J Finney Rutten
Journal:  Vaccine       Date:  2021-12-13       Impact factor: 3.641

2.  Association of Perinatal Factors With Severe Obesity and Dyslipidemia in Adulthood.

Authors:  Kristene Tadese; Vivian Ernst; Amy L Weaver; Tom D Thacher; Tamim Rajjo; Seema Kumar; Tara Kaufman; Chung-Il Wi; Brian A Lynch
Journal:  J Prim Care Community Health       Date:  2022 Jan-Dec
  2 in total

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