Evidence map›Paper›PMID 39805899›Full record

ArticleScientific reports2025

Dietary intake and risk assessment of nitrosamine in processed meat products among medical staff during their night shift.

Dalia Ibrahim Tayel, Noorhan K Farrag, Samar Mohamed Aborhyem

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Dalia Ibrahim TayelNutrition Department, High Institute of Public Health, Alexandria University, 165 EL-Horreya Avenue, EL-Hadarah, Alexandria, 21561, Egypt.
Noorhan K FarragNutrition Department, High Institute of Public Health, Alexandria University, 165 EL-Horreya Avenue, EL-Hadarah, Alexandria, 21561, Egypt.
Samar Mohamed AborhyemNutrition Department, High Institute of Public Health, Alexandria University, 165 EL-Horreya Avenue, EL-Hadarah, Alexandria, 21561, Egypt. hiph.samaraborhyem@alexu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aims to evaluate the levels of nitrosamine, a known carcinogenic compound, in processed meat products and to assess its dietary intake and margin of exposure among medical staff, including physicians, pharmacists, and nurses working night shifts at Alexandria University Hospitals. Additionally, the study seeks to evaluate the participants' knowledge of dietary sources and regulatory limits of carcinogens. A cross-sectional study was conducted with 420 participants. Results showed that hotdogs contained the highest nitrosamine levels (159.24 ± 87.99 µg/g) with a consumption pattern of 0.02126 µg/kg BW/day. In contrast, sausages and burgers had the lowest nitrosamine content (2.36 µg/g and 2.37 µg/g, respectively). Luncheon meat also exhibited low nitrosamine levels and consumption patterns, at 18.53 µg/g and 0.00141 µg/kg BW/day, respectively. The Margin of Exposure (MOE) was calculated to assess risk, with a Benchmark Dose Lower Confidence Limit (BMDL)10 value of 29 µg/kg BW/day as the reference point. MOE values ≥ 17,000, derived for nitrosamine exposure in this study, indicate a low level of concern for carcinogenic risk. A statistically significant difference in dietary nitrosamine intake was observed across different professions among the medical staff (p < 0.001).

Indexed as

Meat ProductsMedical StaffNitrosaminesShift Work ScheduleAdultCarcinogensCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk AssessmentCarcinogensNitrosaminesDietary intakeMargin of exposureMedical staffNight shiftNitrosamineRisk assessment

Identifiers

PMID39805899
PMCPMC11730967

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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.