Evidence map›Paper›PMID 31413186›Full record

ArticleOccupational and environmental medicine2019

Overall and cause-specific mortality in a cohort of farmers and their spouses.

Srishti Shrestha, Christine G Parks, Alexander P Keil, David M Umbach, Catherine C Lerro, Charles F Lynch, Honglei Chen, Aaron Blair, Stella Koutros, Jonathan N Hofmann and 2 more

Open access · greenAbstract read
In one paragraph

Article in Occupational and environmental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

12 authors at 5 institutions in 1 country.

Srishti ShresthaEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-2017-4521
Christine G ParksEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA.
Alexander P KeilDepartment of Epidemiology, University of North Carolina School of Public Health, Chapel Hill, North Carolina, USA.
David M UmbachBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA.
Catherine C LerroOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Charles F LynchDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA.
Honglei ChenDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA.
Aaron BlairOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Stella KoutrosOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0001-5294-5485
Jonathan N HofmannOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Laura E Beane FreemanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Dale P SandlerEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA sandler@niehs.nih.gov.
National Cancer Institute · USNational Institute of Environmental Health Sciences · USMichigan State University · USUniversity of Iowa · USUniversity of North Carolina at Chapel Hill · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
Health Effects Of Exposures In AgricultureZIAES049030 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2009 to 2025
$11.2M
STUDIES OF OCCUPATIONAL CANCER--PESTICIDESZ01CP010119 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALAVANJA, MICHAEL · 1996 to 2008
$5.0M
Statistical techniques applied to environmental health sciencesZIAES103126 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI UMBACH, DAVID M · 2012 to 2025
$1.0M
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 ES049030NCI NIH HHS Z01 CP010119NIEHS NIH HHS Z01 ES049030
6 · The paper itself

Abstract

objectivesLower mortality rates compared with the general population have been reported for Agricultural Health Study (AHS) participants (enrolled 1993-1997) followed through 2007. We extended analysis of mortality among AHS participants (51 502 private pesticide applicators, their 31 867 spouses and 4677 commercial pesticide applicators from North Carolina and Iowa) through 2015 and compared results using several analytical approaches.

methodsWe calculated standardised mortality ratios (SMRs), causal mortality ratios (CMR) and relative SMRs (rSMR) using state-specific mortality rates of the general populations as the referent.

resultsOver the average 16 years of follow-up (1999-2015), 9305 private applicators, 3384 spouses and 415 commercial applicators died. SMRs and CMRs, with expected deaths calculated using the person-time among the cohort and the general population, respectively, indicated lower overall mortality in all study subgroups (SMRs from 0.61 to 0.69 and CMRs from 0.74 to 0.89), although CMRs indicated elevated mortality in private applicators from North Carolina and in ever-smokers. In SMR analyses, there were fewer than expected deaths from many causes, but deaths from some external causes including transportation-related injuries and mechanical forces were elevated in private applicators. CMRs indicated higher than expected deaths from prostate cancer, lymphohaematopoietic cancers, Parkinson's and Alzheimer's disease, and chronic glomerulonephritis in private applicators, and non-Hodgkin's lymphoma in spouses (from 1.19 to 1.53). rSMR results were generally elevated, similar to CMR findings.

conclusionsAHS participants experienced lower overall mortality than the general population.Mortality from a few specific causes was increased in private applicators, specifically when CMR and rSMR approaches were used.

Indexed as

MortalityOccupational HealthAdolescentAdultAgedAged, 80 and overAgricultural Workers' DiseasesFarmersFemaleHumansIowaMaleMiddle AgedNorth CarolinaOccupational ExposurePesticidesPesticidesAgricultural Health Studycausal mortality ratiofarmersrelative standardised mortality ratiostandardised mortality ratio

Identifiers

PMID31413186
PMCPMC7803095
OpenAlexW2967948400

What OpenQuestion holds

Textmetadata
LicenceTDM
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.