Editorial: HPV-Associated Cancers, Socio-Economic Disparity, and Vaccination

Alsbeih, Ghazi

doi:10.3389/fonc.2015.00223

Cited by 2 publications

(2 citation statements)

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“…Education level as such cannot be taken as well defined exposure, but reflects the low SES (Franceschi et al, 2009). Low SES was shown to be a risk factor for cervical cancer (Franceschi et al, 2005;Singh et al, 2012;Alsbeih, 2015). The finding is in good agreement with these observations.…”

Section: Discussionmentioning

confidence: 71%

Cofactors and Their Association with Cancer of the Uterine Cervix in Women Infected with High-Risk Human Papillomavirus in South India

Baskran

Kumar

Santha

et al. 2019

Asian Pac J Cancer Prev

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Section: Discussionmentioning

confidence: 71%

Cofactors and Their Association with Cancer of the Uterine Cervix in Women Infected with High-Risk Human Papillomavirus in South India

Baskran

Kumar

Santha

et al. 2019

Asian Pac J Cancer Prev

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“…Past research has reported differential vaccine uptake outcomes that are associated with heterogeneity in the sociodemographic and socioeconomic characteristics, as well as provider type that administers the vaccine (19,20). None, to our knowledge, has examined a trend in U.S. states over a multiple-year span using a longitudinal data-based approach.…”

Section: Introductionmentioning

confidence: 99%

Patterns and Disparities in Human Papillomavirus (HPV) Vaccine Uptake for Young Female Adolescents among U.S. States: NIS-Teen (2008–2016)

Yoo

Koskan

Scotch

et al. 2020

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background: Several studies have reported differential vaccine uptake outcomes that are associated with sociodemographic and socioeconomic characteristics, as well as provider type. However, none has examined a trend over a multiple-year span. In this study, we utilize a longitudinal data-based approach to examine state-level human papillomavirus (HPV) vaccine trends and their influences over time.Methods: We analyzed National Immunization Survey -Teen data (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) to estimate HPV vaccine initiation rate in young female adolescent ages 13-17 years old among U.S. States. We identified growth patterns using the latent class growth method and explored state-level characteristics, including socioeconomic and sociodemographic attributes, and health legislation and policy-related programs among patterns.Results: We identified three growth patterns, which showed gradually increasing vaccination trends but different baseline HPV uptake rates (high, moderate, low). States within Pattern 1 (highest HPV vaccination rates) included the lowest percentage of families with incomes below federal poverty level, the highest percentage of bachelor's degree or higher, and the lowest number of uninsured, while states within Pattern 3 (lowest HPV vaccination rates) included families with socioeconomic attributes along the opposite end of the spectrum.Conclusions: Latent class growth models are an effective tool to be able to capture health disparities in heterogeneity among states in relation to HPV vaccine uptake trajectories.Impact: These findings might lead to designing and implementing effective interventions and changes in policies and health care coverage to promote HPV vaccination uptake for states represented under the lowest trajectory pattern.

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Editorial: HPV-Associated Cancers, Socio-Economic Disparity, and Vaccination

Cited by 2 publications

References 10 publications

Cofactors and Their Association with Cancer of the Uterine Cervix in Women Infected with High-Risk Human Papillomavirus in South India

Cofactors and Their Association with Cancer of the Uterine Cervix in Women Infected with High-Risk Human Papillomavirus in South India

Patterns and Disparities in Human Papillomavirus (HPV) Vaccine Uptake for Young Female Adolescents among U.S. States: NIS-Teen (2008–2016)

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