Risk assessment of inorganic arsenic intake in rice in Brazilian adult population

Risk of increasing incidence of 0.5% of lung cancer by ingestion of inorganic arsenic (iAs) by rice consumption in Brazil was evaluated. Intake was estimated for Brazilian adult population considering gender, housing area and demographic region. Contamination levels were estimated for brown and white rice from 294 samples analyzed in Brazil, since 2013. Consumption was obtained from individual nutritional survey. Scenarios of optimistic and pessimistic occurrence were also established. Average levels of contamination among different rice ranged from 0.093 to 0.167 mg.kg-1. There was no significant difference between white and brown rice. Although a gradual increase in contamination levels was observed in both after 2013, none sample was higher than regulatory limits. From linear regression of occurrence data (y=0.02088x-41.99, R2=0.9620), a highest contamination level (0.313 mg.kg-1) would be expected in 2026. Higher levels of intake were observed for males, urban areas and Midwest, when compared to others. Despite it, risk of increase 0.5% of the incidence of lung cancer was considered low in all consumption profiles and in both scenarios. However, rice is a staple food in Brazil, whose levels of contamination have showed an increasing. Therefore, is important a constant monitoring, as also included the impact of rice-derived foods.

Authors

Publication Details

Journal
DELOS Desarrollo Local Sostenible
Published
2025-01-09
DOI
https://doi.org/10.55905/rdelosv18.n63-032
Citations
1
Primary Topic
Arsenic contamination and mitigation
Type
article
Field-Weighted Citation Impact
0.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk assessment of inorganic arsenic intake in rice in Brazilian adult population

Milton Cabral de Vasconcelos-Neto, Bruno Peixoto, Aureliano Claret da Cunha, CECILIA BUSTAMANTE et al.
1 citations
DELOS Desarrollo Local Sostenible
Arsenic contamination and mitigation
0.86
article

Risk assessment of inorganic arsenic intake in rice in Brazilian adult population

Milton Cabral de Vasconcelos-Neto, Bruno Peixoto, Aureliano Claret da Cunha, CECILIA BUSTAMANTE, Simone de Fátima Viana da Cunha
article en
1 citations

Abstract

Risk of increasing incidence of 0.5% of lung cancer by ingestion of inorganic arsenic (iAs) by rice consumption in Brazil was evaluated. Intake was estimated for Brazilian adult population considering gender, housing area and demographic region. Contamination levels were estimated for brown and white rice from 294 samples analyzed in Brazil, since 2013. Consumption was obtained from individual nutritional survey. Scenarios of optimistic and pessimistic occurrence were also established. Average levels of contamination among different rice ranged from 0.093 to 0.167 mg.kg-1. There was no significant difference between white and brown rice. Although a gradual increase in contamination levels was observed in both after 2013, none sample was higher than regulatory limits. From linear regression of occurrence data (y=0.02088x-41.99, R2=0.9620), a highest contamination level (0.313 mg.kg-1) would be expected in 2026. Higher levels of intake were observed for males, urban areas and Midwest, when compared to others. Despite it, risk of increase 0.5% of the incidence of lung cancer was considered low in all consumption profiles and in both scenarios. However, rice is a staple food in Brazil, whose levels of contamination have showed an increasing. Therefore, is important a constant monitoring, as also included the impact of rice-derived foods.

DELOS Desarrollo Local SostenibleVol. 18(63)
Universidade Federal de Ouro Preto
Zero hunger
Openalex Percentile: Top 32%
Arsenic contamination and mitigation
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.