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Title: Evidence of population mixing based on the geographical distribution of childhood leukemia in Ohio

Citation Type: Journal Article

Publication Year: 2007

Abstract: Background. This ecologic study examined the geographic distribution of childhood leukemias in Ohio, 19962000, among children aged 019 for evidence that population mixing may be a factor. Procedure. (1) State incidence rates were compared to Surveillance, Epidemiology and End Results (SEER) rates for each year and for the 5-year period, 19962000; (2) incidence rates for each of Ohios 88 counties were compared to statewide rates; and (3) county incidence rates were compared based on population density, population growth, and rural/urban locale. SEER*Stat version 5.0 was used to derive age-specific and 019 age-adjusted rates. Expected values, standardized incidence ratios (SIRs), and Poisson P-values were calculated with Excel using the indirect method of standardization. Results. Of the 585 cases, 73.3% were acute lymphocytic leukemia (ALL), 16.6% acute myelogenous leukemia (AML), 3.2% acute monocytic leukemia (AMoL), and 2.6% chronic myelogenous leukemia (CML). Rates for total leukemia burden were significantly below national levels for all races (P0.00001), likely due to poor ascertainment of cases. Yearly incidence rates for 19962000 were stable for ALL and AML; CML rates declined over the period. Based on 2000 Census and intercensal population estimates for 19962000, statistically higher rates for ALL were noted for counties experiencing >10% population change 19902000 (P<0.05), especially for ages 14 (P<0.03) in counties with 1020% growth. Counties 67.999.2% urban experienced fewer than expected cases of AMLAMoL (P<0.06). Conclusion. Data support Kinlens theory of population mixing and warrant further studies in Ohio, the US and other countries.

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Authors: Ruymann, Frederick B.; Ferketich, Amy K.; Clark, Brenda R.; Harris, Randall E.; Wilkins III, John R.; Fisher, James L.

Periodical (Full): Pediatric Blood Cancer

Issue: 6

Volume: 49

Pages: 797-802

Data Collections: IPUMS USA

Topics: Migration and Immigration, Other

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