Geographic epidemiology of hepatocellular carcinoma, viral hepatitis, and socioeconomic position in New York City

被引:17
作者
Ford, Mary M. [1 ]
Ivanina, Elena [2 ]
Desai, Payal [1 ]
Highfield, Linda [3 ]
Qiao, Baozhen [4 ]
Schymura, Maria J. [4 ]
Laraque, Fabienne [1 ]
机构
[1] New York City Dept Hlth & Mental Hyg, Div Dis Control, Bur Communicable Dis, 42-09 28th St, Long Isl City, NY 11101 USA
[2] New York City Dept Hlth & Mental Hyg, Div Epidemiol, 42-09 28th St, Long Isl City, NY 11101 USA
[3] Univ Texas Sch Publ Hlth, Dept Management Policy & Community Hlth Practice, 1200 Pressler RAS Bldg,E913, Houston, TX 77030 USA
[4] New York State Dept Hlth, Bur Canc Epidemiol, 150 Broadway Suite 361, Albany, NY 12204 USA
关键词
Hepatocellular carcinoma; Liver cancer; Hepatitis C; Hepatitis B; Geographically weighted regression; Moran's I; CANCER CARE; ASSOCIATION; RISK; INSURANCE; ALCOHOL; DISEASE;
D O I
10.1007/s10552-017-0897-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose Liver cancer (hepatocellular carcinoma (HCC)) incidence and mortality rates are increasing in the United States. New York City (NYC) has a high burden of liver cancer risk factors, including hepatitis C (HCV) and hepatitis B (HBV) infection, which disproportionately affect persons of low socioeconomic position. Identifying neighborhoods with HCC disparities is essential to effectively define targeted cancer control strategies. Methods New York State Cancer Registry data from 1 January 2001 through 31 December 2012 were matched with NYC HCV and HBV surveillance data. HCC data were aggregated to NYC Zip Code Tabulation Areas (ZCTAs). Moran's I cluster analysis, Poisson regression, and geographically weighted Poisson regression were used to identify hotspots in HCC incidence and to examine the spatial associations with viral hepatitis rates, poverty, and uninsured status. Results Among NYC residents, 8,827 HCC cases were diagnosed during 2001-2012. Significant clustering was detected in the HCC rates (Moran's I = 0.25) with the strongest clustering found in HCC patients with comorbid HCV infection (Moran's I = 0.47). Poverty and uninsured status were associated (p < 0.05) with increased rates of HCC patients with HBV or HCV infection. Neighborhoods with high rates of HCC without viral hepatitis infection had lower rates of poverty and uninsured status. Conclusions The geographic variation in HCC highlights the need for neighborhood-targeted interventions to address risk factors and barriers to care. The clusters of HCC by viral hepatitis status may serve as a basis for healthcare policymakers and practitioners to prioritize neighborhoods for cancer screening and control efforts.
引用
收藏
页码:779 / 789
页数:11
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