ArticleEFSA journal. European Food Safety Authority2026
Frequency of consumption of different fish, crustacean and mollusc species contributing to methylmercury exposure and consumer awareness of national advice on their consumption.
Article in EFSA journal. European Food Safety Authority, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Docosahexaenoic Acid (DHA) Deficiency in Breast Milk: A Cross-Sectional Study of Lactating Women in Serbia, Montenegro, and North Macedonia.Nutrients · 2026Observational
- Dietary and Environmental Exposure to Toxic Elements in Endometriosis: A Missing Piece of the Etiological Puzzle?Nutrients · 2026Review
- Marine Bioactive Compounds from Functional Seafoods: Pharmacological Mechanisms and Health Applications.Marine drugs · 2026Review
- Frequency of consumption of different fish, crustacean and mollusc species contributing to methylmercury exposure and consumer awareness of national advice on their consumption.EFSA journal. European Food Safety Authority · 2026Article
- Seafood consumption patterns and methylmercury risk awareness among Saudi adults: a nationwide cross-sectional survey documenting a structural knowledge-behavior gap.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Following a request of the European Commission, EFSA assessed fish and other seafood consumption patterns and consumer awareness of related health risks and benefits across the 27 Member States, Iceland and Norway. Awareness of existence of consumption national advice and to which extent this advice influence consumers consumption behaviour were also examined. To address these objectives, two surveys were conducted in 2023 and 2024 among adolescents, adults and pregnant women. Data were collected through computer-assisted telephone interviews by means of a combined Food Propensity and Awareness Questionnaire. The surveys covered 38 fish species grouped by their maximum levels of mercury (1.0, 0.5 and 0.3 mg/kg). Respondents were asked about consumption frequency, awareness of contaminants and knowledge of national dietary advice. The analysis showed that fish and other seafood consumption increased between the two surveys across all countries and species categories, regardless of whether updated advice was issued. Awareness of chemical contaminants was generally low, with mercury being the most recognised contaminant. Awareness of national advice was moderate and slightly higher among pregnant women but reported changes in consumption behaviour linked to this advice were limited. Information sources also played a role in shaping consumer behaviour and these varied per country and population group. Uncertainties were identified and recommendations listed to improve future assessments.
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Registered trials
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.