Evidence map›Paper›PMID 18939976›Full record

ArticleEnvironmental health : a global access science source2008

Spatial variations in the incidence of breast cancer and potential risks associated with soil dioxin contamination in Midland, Saginaw, and Bay Counties, Michigan, USA.

Dajun Dai, Tonny J Oyana

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  7. Breast cancer in the Baixada Santista region and its relationship to contaminated areas.Environmental science and pollution research international · 2020
    Article
  8. Spatiotemporal patterns of childhood asthma hospitalization and utilization in Memphis Metropolitan Area from 2005 to 2015.The Journal of asthma : official journal of the Association for the Care of Asthma · 2017
    Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Dajun DaiEnvironmental Resources and Policy Program, Southern Illinois University, 405 West Grand Avenue, MC 4637, Carbondale, IL 62901-4637, USA. ddai@niu.edu
Tonny J Oyana

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh levels of dioxins in soil and higher-than-average body burdens of dioxins in local residents have been found in the city of Midland and the Tittabawassee River floodplain in Michigan. The objective of this study is threefold: (1) to evaluate dioxin levels in soils; (2) to evaluate the spatial variations in breast cancer incidence in Midland, Saginaw, and Bay Counties in Michigan; (3) to evaluate whether breast cancer rates are spatially associated with the dioxin contamination areas.

methodsWe acquired 532 published soil dioxin data samples collected from 1995 to 2003 and data pertaining to female breast cancer cases (n = 4,604) at ZIP code level in Midland, Saginaw, and Bay Counties for years 1985 through 2002. Descriptive statistics and self-organizing map algorithm were used to evaluate dioxin levels in soils. Geographic information systems techniques, the Kulldorff's spatial and space-time scan statistics, and genetic algorithms were used to explore the variation in the incidence of breast cancer in space and space-time. Odds ratio and their corresponding 95% confidence intervals, with adjustment for age, were used to investigate a spatial association between breast cancer incidence and soil dioxin contamination.

resultsHigh levels of dioxin in soils were observed in the city of Midland and the Tittabawassee River 100-year floodplain. After adjusting for age, we observed high breast cancer incidence rates and detected the presence of spatial clusters in the city of Midland, the confluence area of the Tittabawassee, and Saginaw Rivers. After accounting for spatiotemporal variations, we observed a spatial cluster of breast cancer incidence in Midland between 1985 and 1993. The odds ratio further suggests a statistically significant (alpha = 0.05) increased breast cancer rate as women get older, and a higher disease burden in Midland and the surrounding areas in close proximity to the dioxin contaminated areas.

conclusionThese findings suggest that increased breast cancer incidences are spatially associated with soil dioxin contamination. Aging is a substantial factor in the development of breast cancer. Findings can be used for heightened surveillance and education, as well as formulating new study hypotheses for further research.

Indexed as

Environmental MonitoringAdolescentAgedAge DistributionBreast NeoplasmsDatabases, FactualDioxinsEpidemiological MonitoringFemaleGeographyGeologic SedimentsHumansIncidenceMichiganMiddle AgedMonte Carlo MethodDioxinsSoil Pollutants

Identifiers

PMID18939976
PMCPMC2577707

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.