ArticleEuropean journal of clinical nutrition2010
Dioxins, polychlorinated biphenyls, methyl mercury and omega-3 polyunsaturated fatty acids as biomarkers of fish consumption.
Article in European journal of clinical nutrition, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Biomarkers and Fatty Fish Intake: A Randomized Controlled Trial in Norwegian Preschool Children.The Journal of nutrition · 2021Trial
- Assessment of dietary fish consumption in pregnancy: comparing one-, four- and thirty-six-item questionnaires.Public health nutrition · 2014Trial
- Association between fish-related metabolites and metabolic syndrome risk factors in Japan: INTERLIPID metabolome -wide association study.European journal of nutrition · 2026Observational
- Dietary habits and plasma lipid concentrations in a general Japanese population.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- The association of fish consumption and its urinary metabolites with cardiovascular risk factors: the International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP).The American journal of clinical nutrition · 2020Article
- Plasma concentrations of anserine, carnosine and pi-methylhistidine as biomarkers of habitual meat consumption.European journal of clinical nutrition · 2019Article
- Biomarkers of meat and seafood intake: an extensive literature review.Genes & nutrition · 2019Review
- Influence of Maternal Fish Intake on the Anthropometric Indices of Children in the Western Amazon.Nutrients · 2018Article
- Fatty acids composition of Caenorhabditis elegans using accurate mass GCMS-QTOF.Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes · 2016Article
- Nutritional Cognitive Neuroscience: Innovations for Healthy Brain Aging.Frontiers in neuroscience · 2016Review
- Blood Mercury and Insulin Resistance in Nondiabetic Koreans (KNHANES 2008-2010).Yonsei medical journal · 2015Article
- Fish consumption behavior and rates in native and non-native people in Saudi Arabia.Environmental research · 2014Article
- Dietary supplementation with Lovaza and krill oil shortens the life span of long-lived F1 mice.Age (Dordrecht, Netherlands) · 2014Article
- Correlations of fish intake and plasma docosahexaenoic acid levels with each congener of PCDDs/PCDFs/dioxin-like PCBs in blood from the Japanese population.International archives of occupational and environmental health · 2011Article
- Environmental contaminants as biomarkers of fish intake: a case for hair mercury concentrations.European journal of clinical nutrition · 2011Article
- Research into mercury exposure and health education in subsistence fish-eating communities of the Amazon basin: potential effects on public health policy.International journal of environmental research and public health · 2010Article
- Fish consumption and omega-3 polyunsaturated fatty acids in relation to depressive episodes: a cross-sectional analysis.PloS one · 2010Article
- Fish consumption and polyunsaturated fatty acids in relation to psychological distress.International journal of epidemiology · 2010Article
Corrections and comments
- Commented on by
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesTo assess biomarkers and frequency questions as measures of fish consumption. SUBJECTS/
methodsParticipants in the Fishermen substudy numbered 125 men and 139 women (aged 22-74), and in the Health 2000 substudy, 577 men and 712 women (aged 45-74) participated. The aim of the Fishermen study was to examine the overall health effect of fish consumption in a high-consumption population, whereas the aim of the Health 2000 substudy was to obtain in-depth information on cardiovascular diseases and diabetes. Fish consumption was measured by the same validated food frequency questionnaire (FFQ) in both the studies, with a further two separate frequency questions used in the Fishermen substudy. Dioxins, polychlorinated biphenyls (PCBs) and methyl mercury (MeHg) (in the Fishermen substudy alone), and omega-3 polyunsaturated fatty acids (omega-3 PUFAs) (in both studies) were analyzed from fasting serum/blood samples.
resultsThe Spearman's correlation coefficients between FFQ fish consumption and dioxins, PCBs, MeHg and omega-3 PUFAs were respectively 0.46, 0.48, 0.43 and 0.38 among the Fishermen substudy men, and 0.28, 0.36, 0.45 and 0.31 among women. Similar correlation coefficients were observed between FFQ fish consumption and serum omega-3 PUFAs in the Health 2000 substudy, and also between FFQ fish consumption and the frequency questions on fish consumption in the Fishermen substudy. According to multiple regression modeling and LMG metrics, the most important fish consumption biomarkers were dioxins and PCBs among the men and MeHg among the women.
conclusionsEnvironmental contaminants seemed to be slightly better fish consumption biomarkers than omega-3 PUFAs in the Baltic Sea area. The separate frequency questions measured fish consumption equally well when compared with the FFQ.
Indexed as
Identifiers
20104234What OpenQuestion holds
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.