Evidence map›Paper›PMID 32168021›Full record

ArticleEpidemiology (Cambridge, Mass.)2020

Residential Proximity to Intensive Animal Agriculture and Risk of Lymphohematopoietic Cancers in the Agricultural Health Study.

Jared A Fisher, Laura E Beane Freeman, Jonathan N Hofmann, Aaron Blair, Christine G Parks, Peter S Thorne, Mary H Ward, Rena R Jones

Open access · greenAbstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Jared A FisherFrom the Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Laura E Beane FreemanFrom the Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Jonathan N HofmannFrom the Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Aaron BlairFrom the Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Christine G ParksChronic Disease Epidemiology Group, National Institute of Environmental Health Sciences, Durham, NC.
Peter S ThorneDepartment of Occupational and Environmental Health, University of Iowa College of Public Health, Iowa City, IA.
Mary H WardFrom the Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Rena R JonesFrom the Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Division of Cancer Epidemiology and GeneticsNational Cancer Institute · USNational Institute of Environmental Health Sciences · US

Funding

Studies of Occupational Cancer (Pesticides)ZIACP010119 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI BEANE FREEMAN, LAURA · 2009 to 2025
$46.1M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
STUDIES OF OCCUPATIONAL CANCER--PESTICIDESZ01CP010119 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALAVANJA, MICHAEL · 1996 to 2008
$5.0M
HEALTH EFFECTS OF EXPOSURES IN AGRICULTUREZ01ES049030 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 1997 to 2008
$889k
Intramural NIH HHS Z01 CP010119Intramural NIH HHS Z01 ES049030NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

backgroundAlthough occupational exposure to animals has been associated with lymphohematopoietic malignancies, to our knowledge no studies have evaluated adult cancer risks associated with living near intensive animal agriculture.

methodsWe linked participants in the prospective Agricultural Health Study to permitted animal feeding operations in Iowa. We created metrics reflecting the intensity of animal exposures within 2 and 5 km of participants' residences, enumerating both total and inverse distance-weighted animal units (AUs), standardized by animal size and manure production. We estimated risk of lymphohematopoietic malignancies and subtypes [hazard ratio (HR), 95% confidence interval (95% CI)], adjusting for demographic and farming-related factors, including occupational pesticide exposure. We stratified associations by animal type and animal-related work activities.

resultsWe observed 519 cases (1993-2015) among 32,635 pesticide applicators and 211 cases among 19,743 spouses. Among applicators, no associations were evident within 2 km, but risk of any lymphohematopoietic cancer was elevated across quintiles of weighted AUs within 5 km. Risk of non-Hodgkin lymphoma (NHL) was elevated for the second (HR = 1.5; 95% CI, 1.1, 2.1), third (HR = 1.6; 95% CI, 1.1, 2.2), and fourth (HR = 1.7; 95% CI, 1.3, 2.4) highest quintiles of weighted AUs within 5 km (Ptrend = 0.52) and increased with dairy cattle AUs (Ptrend = 0.04). We found positive trends for leukemia and some NHL subtypes with increasing numbers of both beef and dairy cattle. Risks did not vary by animal-related work (Pinteraction = 0.61). Associations were similar using the total exposure metric and inconsistent among spouses.

conclusionResidential proximity to intensive animal agriculture was positively associated with risk of NHL and leukemia, even after consideration of occupational animal and pesticide exposures.

Indexed as

AgricultureLeukemiaLymphoma, Non-HodgkinResidence CharacteristicsAdultFemaleHumansIowaMaleMiddle AgedProspective StudiesRisk Assessment

Identifiers

PMID32168021
PMCPMC7889404
OpenAlexW3011589084

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.