Evidence map›Paper›PMID 39990844›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2024

[Assessment of Dietary Arsenic Exposure Levels and the Associated Health Risks in Chongqing City, China].

Xinghui Dai, Mintao Li, Jiahui Chen, Ping Feng, Jingrong Chen, Jian Zhao, Qianru Zhou, Shuquan Luo, Huadong Zhang, Xiaofeng Yan and 2 more

Abstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2024. 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. 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.

Xinghui Dai( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Mintao Li( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Jiahui Chen( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Ping Feng( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Jingrong Chen( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Jian Zhao( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Qianru Zhou( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Shuquan Luo( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Huadong Zhang( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Xiaofeng Yan( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Jiao Huo( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Xuemei Lian( 400016) School of Public Health, Chongqing Medical University, Chongqing 400016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the levels of arsenic in food in Chongqing city, and to assess the levels of dietary arsenic exposure and the associated potential health risks in residents of Chongqing city. Methods: By using the monitoring data on arsenic levels in food in Chongqing between 2018 and 2023 in combination with the local dietary survey data for Chongqing from the 2018 China Nutrition and Health Survey Program, and adopting the 2-dimensional Monte Carlo simulation, we made an estimate of the dietary arsenic exposure levels of Chongqing residents. The margin of exposure (MOE) method was applied to assess both non-carcinogenic risks (skin damage) and carcinogenic risks (lung cancer and urinary system cancers) associated with dietary intake of arsenic. Results: Out of 4900 food samples, the detection rate of arsenic was 36.40%, with the average levels ranging from the median bound (MB) of 0.0207 to the upper bound (UB) of 0.0234 mg/kg. The highest average levels were found in rice and its products, with an MB of 0.0981 and a UB of 0.0985 mg/kg. The daily average exposure to inorganic arsenic for residents of different ages, sexes, and places of residence was highest in individuals aged 3 to 6, with an MB of 1.046 μg/(kg·d) and a UB of 1.116 μg/(kg·d), and lowest among individuals aged 60 and older. Arsenic exposure was higher in males than that in females and higher in people living in rural areas compared to those in urban areas. In terms of non-carcinogenic risks, the MOE values for inorganic arsenic were always higher than 1 in various populations. As for carcinogenic risks, the MOE values were all less than 100 in various populations. Rice and its products were the main source of dietary arsenic exposure in Chongqing, accounting for 69.97% to 74.37% of the total exposure. Conclusion: The non-carcinogenic risk caused by dietary arsenic exposure in Chongqing is relatively low, but there may be a certain level of carcinogenic risk. Continued attentions should be given to dietary arsenic exposure levels in young children.

Indexed as

ArsenicDietary ExposureEnvironmental ExposureFood ContaminationAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansMaleMiddle AgedOryzaRisk AssessmentArsenicArsenicDietary exposureMonte carlo simulationRisk assessment

Identifiers

PMID39990844
PMCPMC11839360

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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.