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Disparities in Cervical Cancer Mortality Rates as Determined by the Longitudinal Hyperbolastic Mixed-Effects Type II Model

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Listed:
  • Mohammad A Tabatabai
  • Jean-Jacques Kengwoung-Keumo
  • Wayne M Eby
  • Sejong Bae
  • Juliette T Guemmegne
  • Upender Manne
  • Mona Fouad
  • Edward E Partridge
  • Karan P Singh

Abstract

Background: The main purpose of this study was to model and analyze the dynamics of cervical cancer mortality rates for African American (Black) and White women residing in 13 states located in the eastern half of the United States of America from 1975 through 2010. Methods: The cervical cancer mortality rates of the Surveillance, Epidemiology, and End Results (SEER) were used to model and analyze the dynamics of cervical cancer mortality. A longitudinal hyperbolastic mixed-effects type II model was used to model the cervical cancer mortality data and SAS PROC NLMIXED and Mathematica were utilized to perform the computations. Results: Despite decreasing trends in cervical cancer mortality rates for both races, racial disparities in mortality rates still exist. In all 13 states, Black women had higher mortality rates at all times. The degree of disparities and pace of decline in mortality rates over time differed among these states. Determining the paces of decline over 36 years showed that Tennessee had the most rapid decline in cervical cancer mortality for Black women, and Mississippi had the most rapid decline for White Women. In contrast, slow declines in cervical cancer mortality were noted for Black women in Florida and for White women in Maryland. Conclusions: In all 13 states, cervical cancer mortality rates for both racial groups have fallen. Disparities in the pace of decline in mortality rates in these states may be due to differences in the rates of screening for cervical cancers. Of note, the gap in cervical cancer mortality rates between Black women and White women is narrowing.

Suggested Citation

  • Mohammad A Tabatabai & Jean-Jacques Kengwoung-Keumo & Wayne M Eby & Sejong Bae & Juliette T Guemmegne & Upender Manne & Mona Fouad & Edward E Partridge & Karan P Singh, 2014. "Disparities in Cervical Cancer Mortality Rates as Determined by the Longitudinal Hyperbolastic Mixed-Effects Type II Model," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-18, September.
    • Handle: RePEc:plo:pone00:0107242
    DOI: 10.1371/journal.pone.0107242
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    References listed on IDEAS

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    1. Braveman, P.A. & Cubbin, C. & Egerter, S. & Williams, D.R. & Pamuk, E., 2010. "Socioeconomic disparities in health in the united States: What the patterns tell us," American Journal of Public Health, American Public Health Association, vol. 100(S1), pages 186-196.
    2. Lantz, Paula M. & Lynch, John W. & House, James S. & Lepkowski, James M. & Mero, Richard P. & Musick, Marc A. & Williams, David R., 2001. "Socioeconomic disparities in health change in a longitudinal study of US adults: the role of health-risk behaviors," Social Science & Medicine, Elsevier, vol. 53(1), pages 29-40, July.
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    1. Antonio Barrera & Patricia Román-Román & Francisco Torres-Ruiz, 2021. "T-Growth Stochastic Model: Simulation and Inference via Metaheuristic Algorithms," Mathematics, MDPI, vol. 9(9), pages 1-20, April.
    2. Antonio Barrera & Patricia Román-Román & Francisco Torres-Ruiz, 2021. "Hyperbolastic Models from a Stochastic Differential Equation Point of View," Mathematics, MDPI, vol. 9(16), pages 1-18, August.

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