Evidence map›Paper›PMID 31442790›Full record

ArticleEnvironmental research2019

Dietary determinants of inorganic arsenic exposure in the Strong Heart Family Study.

Anne E Nigra, Pablo Olmedo, Maria Grau-Perez, Rae O'Leary, Marcia O'Leary, Amanda M Fretts, Jason G Umans, Lyle G Best, Kevin A Francesconi, Walter Goessler and 2 more

Abstract read
In one paragraph

Article in Environmental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
  2. Trial
  3. Article
  4. The Aging Gut-Brain Axis: Effects of Dietary Polyphenols and Metal Exposure.Chronic diseases and translational medicine · 2025
    Review
  5. Article
  6. Geographic and dietary differences of urinary uranium levels in the Strong Heart Family Study.Journal of exposure science & environmental epidemiology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Freshwater Macroalgae,International journal of molecular sciences · 2022
    Article
  12. Article
  13. Rare, Protein-Altering Variants inEnvironmental health perspectives · 2021
    Article
  14. Article
  15. Article
  16. 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.

Anne E NigraDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA. Electronic address: aen2136@cumc.columbia.edu.
Pablo OlmedoDepartment of Legal Medicine and Toxicology, School of Medicine, University of Granada, Granada, Spain.
Maria Grau-PerezArea of Cardiometabolic and Renal Risk, Biomedical Research Institute Hospital Clinic of Valencia, Valencia, Spain.
Rae O'LearyMissouri Breaks Industries Research Inc, Eagle Butte, SD, USA.
Marcia O'LearyMissouri Breaks Industries Research Inc, Eagle Butte, SD, USA.
Amanda M FrettsDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Jason G UmansMedStar Health Research Institute; Washington, DC, USA.
Lyle G BestMissouri Breaks Industries Research Inc, Eagle Butte, SD, USA.
Kevin A FrancesconiInstitute of Chemistry; University of Graz, Graz, Austria.
Walter GoesslerInstitute of Chemistry; University of Graz, Graz, Austria.
Shelley A ColeTexas Biomedical Research Institute, Hyattsville, MD, USA.
Ana Navas-AcienDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
The Strong Heart Study, Phase VU01HL041654 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LEE, ELISA TAN · 1988 to 2013
$19.2M
CARDIOVASCULAR DISEASE IN THE PIMA INDIANSU01HL041642 · NHLBI · MEDSTAR RESEARCH INSTITUTE · PI HOWARD, BARBARA V · 1988 to 2013
$12.6M
Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
STRONG HEART FAMILY STUDYU01HL065520 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2000 to 2011
$8.9M
CARDIOVASCULAR DISEASE IN SIOUX INDIANSU01HL041652 · NHLBI · U.S. PHS INDIAN HEALTH SERVICE · PI BEST, LYLE G · 1988 to 2013
$7.9M
CVD in American Indians Study and Data Management Center and OK Field CenterR01HL109284 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI STONER, JULIE A · 2013 to 2018
$4.6M
CARDIOVASCULAR EVALUATION--STRONG HEART STUDY PHASE IVU01HL065521 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DEVEREUX, RICHARD B · 2000 to 2013
$4.3M
CVD in American Indians Biomarker lab and Arizona Field CenterR01HL109319 · NHLBI · MEDSTAR HEALTH RESEARCH INSTITUTE · PI UMANS, JASON G · 2013 to 2017
$3.6M
CVD in American Indians Genetics CenterR01HL109301 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2013 to 2018
$3.2M
NCATS NIH HHS UL1 TR001409NHLBI NIH HHS R01 HL109282NHLBI NIH HHS R01 HL109284NHLBI NIH HHS R01 HL109301NHLBI NIH HHS R01 HL109315NHLBI NIH HHS R01 HL109319NHLBI NIH HHS U01 HL041642NHLBI NIH HHS U01 HL041652NHLBI NIH HHS U01 HL041654NHLBI NIH HHS U01 HL065520NHLBI NIH HHS U01 HL065521NIEHS NIH HHS F31 ES029799NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIEHS NIH HHS R01 ES021367NIEHS NIH HHS R01 ES025216NIEHS NIH HHS T32 ES007322
6 · The paper itself

Abstract

backgroundChronic exposure to inorganic arsenic (iAs) in the US occurs mainly through drinking water and diet. Although American Indian (AI) populations have elevated urinary arsenic concentrations compared to the general US population, dietary sources of arsenic exposure in AI populations are not well characterized.

methodsWe evaluated food frequency questionnaires to determine the major dietary sources of urinary arsenic concentrations (measured as the sum of arsenite, arsenate, monomethylarsonate, and dimethylarsinate, ΣAs) for 1727 AI participants in the Strong Heart Family Study (SHFS). We compared geometric mean ratios (GMRs) of urinary ΣAs for an interquartile range (IQR) increase in reported food group consumption. Exploratory analyses were stratified by gender and study center.

resultsIn fully adjusted generalized estimating equation models, the percent increase (95% confidence interval) of urinary ΣAs per increase in reported food consumption corresponding to the IQR was 13% (5%, 21%) for organ meat, 8% (4%, 13%) for rice, 7% (2%, 13%) for processed meat, and 4% (1%, 7%) for non-alcoholic drinks. In analyses stratified by study center, the association with organ meat was only observed in North/South Dakota. Consumption of red meat [percent increase -7% (-11%, -3%)] and fries and chips [-6% (-10%, -2%)] was inversely associated with urinary ΣAs.

conclusionsOrgan meat, processed meat, rice, and non-alcoholic drinks contribute to ΣAs exposure in the SHFS population. Organ meat is a unique source of ΣAs exposure for North and South Dakota participants and may reflect local food consumption. Further studies should comprehensively evaluate drinking water arsenic in SHFS communities and determine the relative contribution of diet and drinking water to total arsenic exposure.

Indexed as

DietAdultArsenicArsenicalsCacodylic AcidDietary ExposureFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultArsenicArsenicalsCacodylic AcidAmerican indiansArsenicDietStrong heart study

Identifiers

PMID31442790
PMCPMC6748659

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Registered trials

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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.