Evidence map›Paper›PMID 40018851›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2025

Arsenic content and exposure in brown rice compared to white rice in the United States.

Christian Kelly Scott, Felicia Wu

Abstract readComparative Study
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Arsenic content and exposure in brown rice compared to white rice in the United States.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    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

2 authors.

Christian Kelly ScottDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0002-4869-9151
Felicia WuDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0003-0493-0451

Funding

National Institute of Food and Agriculture 2023-67017-40049National Institute of Food and Agriculture MICL02527
6 · The paper itself

Abstract

Brown rice is often considered a healthy alternative to white rice due to the additional nutrients contained within the rice bran. However, the proposition of improved health outcomes by replacing white rice with brown rice in diets ignores a potential food safety concern: arsenic exposure. In this manuscript, we seek to critically compare potential arsenic exposure and the associated risks between brown and white rice for US populations. Rice bran and brown rice are shown to have a higher arsenic content and inorganic arsenic concentration than the grain endosperm or white rice. Americans who regularly consume brown rice versus white rice were found to have higher estimated arsenic exposures. Because young children consume considerably more food relative to their bodyweights than adults, brown rice consumption in young children was found to more substantially increase foodborne arsenic exposures. However, there are no acute public health risks indicated for the general American population from rice-related arsenic exposures. Risk-benefit analyses are needed to assess relative risks of arsenic exposure in brown rice compared with the nutritional benefits, in comparison to white rice.

Indexed as

ArsenicFood ContaminationOryzaAdultChildHumansRisk AssessmentUnited StatesArsenicarsenicbrown riceinorganic arsenicricewhite rice

Identifiers

PMID40018851
PMCPMC12411130

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.