Literature DB >> 26548671

Invasive Cervical Cancer Incidence Disparities in New Jersey--a Spatial Analysis in a High Incidence State.

Lisa M Roche, Xiaoling Niu, Kevin A Henry.   

Abstract

Although invasive cervical cancer incidence has declined, disparities persist. We identified spatial clusters of census tracts with elevated invasive cervical cancer incidence rates using New Jersey State Cancer Registry cases 20 years or older diagnosed in 2005-2009. Each cluster's population was compared with the rest of New Jersey's population on demographic and socioeconomic characteristics. Odds ratios that assessed associations between statistically significant characteristics (from a univariate comparison of cases in the clusters versus cases in the rest of New Jersey) and being a case in a cluster versus being a case in the rest of New Jersey were calculated from logistic regression models. Significant incidence clusters were identified around Newark, Trenton, and Camden. Being Black (all areas), Hispanic (Newark, Camden), unmarried (Newark), and uninsured/Medicaid-insured (Trenton) were significantly associated with being a case in these areas. These study results can be used to target invasive cervical cancer prevention efforts more effectively.

Entities:  

Mesh:

Year:  2015        PMID: 26548671     DOI: 10.1353/hpu.2015.0127

Source DB:  PubMed          Journal:  J Health Care Poor Underserved        ISSN: 1049-2089


  1 in total

1.  Application of GIS Spatial Analysis and Scanning Statistics in the Gynecological Cancer Clustering Pattern and Risk Screening: A Case Study in Northern Jiangxi Province, China.

Authors:  Zhiwei Wan; Yaqi Wang; Chunhong Deng
Journal:  Risk Manag Healthc Policy       Date:  2020-08-10
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.