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| {{nugget|moderator=Jouni | | {{nugget|moderator=Jouni |
| |reference={{publication | | |reference={{publication |
| |publishingyear=2018 | | |publishingyear=2019 |
| |authors=Jouni T. Tuomisto, Arja Asikainen, Päivi Meriläinen, Päivi Haapasaari}} | | |authors=Jouni T. Tuomisto, Arja Asikainen, Päivi Meriläinen, Päivi Haapasaari}} |
| }} | | }} |
| '''Health effects of Baltic herring and salmon: a benefit-risk assessment''' is a research manuscript about the [[Goherr assessment]] performed on the BONUS GOHERR project between 2015-2018. | | '''Health effects of nutrients and environmental pollutants in Baltic herring and salmon: a quantitative benefit-risk assessment''' is a research manuscript about the [[Goherr assessment]] performed on the BONUS GOHERR project between 2015-2018. The manuscript was submitted to BMC Public Health [https://bmcpublichealth.biomedcentral.com/submission-guidelines/preparing-your-manuscript/research-article]. Thank you for your interest. |
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| == Title page ==
| | * [https://www.livsmedelsverket.se/om-oss/press/nyheter/pressmeddelanden/efsa-skarper-bedomningen-av-dioxiner-och-pcb Swedish Food Safety Authority about EFSA dioxin assessment] |
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| The title page should:
| | Changes to the revision 2019-09-24: |
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| present a title that includes, if appropriate, the study design e.g.:
| | In addition to the analysis presented in this paper, the survey was conducted for the purpose of a consumer perception and consumption study[11] and therefore only part of the survey results are presented in this paper. |
| "A versus B in the treatment of C: a randomized controlled trial", "X is a risk factor for Y: a case control study", "What is the impact of factor X on subject Y: A systematic review"
| |
| or for non-clinical or non-research studies a description of what the article reports
| |
| list the full names, institutional addresses and email addresses for all authors
| |
| if a collaboration group should be listed as an author, please list the Group name as an author. If you would like the names of the individual members of the Group to be searchable through their individual PubMed records, please include this information in the “Acknowledgements” section in accordance with the instructions below
| |
| indicate the corresponding author
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| |
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| == Abstract ==
| | → The survey was designed and conducted for the purposes of this study and another study about consumer perception and consumption. The latter study[11] was published first, and it contains a more detailed description of the study methods, including the questionnaire. |
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| The Abstract should not exceed 350 words. Please minimize the use of abbreviations and do not cite references in the abstract. Reports of randomized controlled trials should follow the CONSORT extension for abstracts. The abstract must include the following separate sections:
| | Due to these reasons and according to the national guidelines, there was no need for ethical approval[65]. |
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| Background: the context and purpose of the study
| | → Due to these reasons and according to the national guidelines, there was no need for ethical approval. (National Advisory Board of Research Ethics. Ethical principles of research in the humanities and social and behavioural sciences and proposals for ethical review. Helsinki; 2009. https://www.tenk.fi/sites/tenk.fi/files/ethicalprinciples.pdf. Accessed 24 Sept 2019.) |
| Methods: how the study was performed and statistical tests used
| |
| Results: the main findings
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| Conclusions: brief summary and potential implications
| |
| Trial registration: If your article reports the results of a health care intervention on human participants, it must be registered in an appropriate registry and the registration number and date of registration should be in stated in this section. If it was not registered prospectively (before enrollment of the first participant), you should include the words 'retrospectively registered'. See our editorial policies for more information on trial registration
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| == Keywords ==
| | 22. Huan Yang, Pengcheng Xun, Ka He. Fish and Fish Oil Intake in Relation to Risk of Asthma: A Systematic Review and Meta-Analysis. PLOS November 12, 2013. https://doi.org/10.1371/journal.pone.0080048 |
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| Three to ten keywords representing the main content of the article.
| | 22. Yang H, Xun P, He K (2013) Fish and Fish Oil Intake in Relation to Risk of Asthma: A Systematic Review and Meta-Analysis. PLOS ONE 8(11): e80048. https://doi.org/10.1371/journal.pone.0080048 |
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| == Background ==
| | 23. Asmaa S Abdelhamid, Tracey J Brown, Julii S Brainard, Priti Biswas, Gabrielle C Thorpe, Helen J Moore, Katherine HO Deane, Fai K AlAbdulghafoor, Carolyn D Summerbell, Helen V Worthington, Fujian Song, Lee Hooper. (2018) Omega‐3 fatty acids for the primary and secondary prevention of cardiovascular disease. Cochrane Systematic Review. https://doi.org/10.1002/14651858.CD003177.pub4 |
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| The Background section should explain the background to the study, its aims, a summary of the existing literature and why this study was necessary or its contribution to the field.
| | Abdelhamid AS, Brown TJ, Brainard JS, Biswas P, Thorpe GC, Moore HJ, Deane KHO, AlAbdulghafoor FK, Summerbell CD, Worthington HV, Song F, Hooper L. Omega‐3 fatty acids for the primary and secondary prevention of cardiovascular disease. Cochrane Database of Systematic Reviews 2018, Issue 11. Art. No.: CD003177. DOI: 10.1002/14651858.CD003177.pub4. |
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| == Methods ==
| | 24. Zheng J, Huang T, Yu Y, Hu X et al. Fish consumption and CHD mortality: an updated meta-analysis of seventeen cohort studies. Public Health Nutrition (2012) 15:4:725-737. DOI: https://doi.org/10.1017/S1368980011002254 |
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| The methods section should include:
| | 61. Ignatius S, Delaney A, Haapasaari P. Socio-cultural values as a dimension of fisheries governance: the cases of Baltic salmon and herring. Forthcoming. |
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| the aim, design and setting of the study
| | Ignatius, S. H. M., Haapasaari, P. E., & Delaney, A. (2017). Socio-cultural values as a dimension of fisheries management: the cases of Baltic salmon and herring. 52. Abstract from BONUS SYMPOSIUM: Science delivery for sustainable use of the Baltic Sea living resources, Tallinna, Estonia. |
| the characteristics of participants or description of materials
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| a clear description of all processes, interventions and comparisons. Generic drug names should generally be used. When proprietary brands are used in research, include the brand names in parentheses
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| the type of statistical analysis used, including a power calculation if appropriate
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| == Results ==
| | '''Additional changes due to an additional round of minor improvements |
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| This should include the findings of the study including, if appropriate, results of statistical analysis which must be included either in the text or as tables and figures.
| | * Ethical permission was not needed in any of the study countries, according to national guidelines for research and data protection: Finland, Sweden (Lag (2003:460) om etikprövning av forskning som avser människor [https://www.riksdagen.se/sv/dokument-lagar/dokument/svensk-forfattningssamling/lag-2003460-om-etikprovning-av-forskning-som_sfs-2003-460]), Denmark (National Videnskabsetisk Komité. Hvad skal jeg anmelde? http://www.nvk.dk/forsker/naar-du-anmelder/hvilke-projekter-skal-jeg-anmelde), and Estonia (Riigi Teataja. Isikuandmete kaitse seadus RT 2007, 24, 127. https://www.riigiteataja.ee/akt/130122010011). Accessed 28 Nov 2019. |
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| == Discussion ==
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| This section should discuss the implications of the findings in context of existing research and highlight limitations of the study.
| | === Code for estimating TEQ from chinese PCB7 === |
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| == Conclusions ==
| | See Du et al, 2012. |
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| This should state clearly the main conclusions and provide an explanation of the importance and relevance of the study reported.
| | <rcode> |
| List of abbreviations
| | library(OpasnetUtils) |
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| If abbreviations are used in the text they should be defined in the text at first use, and a list of abbreviations should be provided.
| | objects.latest("Op_en3104", code_name="preprocess") # [[EU-kalat]] eu eu2 |
| | objects.latest("Op_en4017", code_name="initiate") # [[Toxic equivalency factor]] TEF |
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| == Declarations == | | eu <- Ovariable( |
| | "eu", |
| | dependencies = data.frame( |
| | Name=c("euRaw", "TEF", "indexguide"), |
| | Ident=c(NA,"Op_en4017/initiate", NA) |
| | ), |
| | formula = function(...) { |
| | euRaw$Length<-as.numeric(as.character(euRaw$Length_mean_mm)) |
| | euRaw$Year <- as.numeric(substr(euRaw$Catch_date, nchar(as.character(euRaw$Catch_date))-3,100)) |
| | euRaw@marginal[colnames(euRaw@output) %in% c("Length","Year")] <- TRUE |
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| All manuscripts must contain the following sections under the heading 'Declarations':
| | eu <- euRaw[,c(1:4, 10, 20, 21, 18)] # See below + Length, Year, Result |
| | colnames(eu@output)[1:5] <- c("THLcode", "Matrix", "Compound", "Fish", "N") |
| | |
| | temp <- eu * TEF |
| | temp$Equivalency <- "TEF" |
| | eu$Equivalency <- "Raw" |
| | eu <- combine(eu, temp) |
| | |
| | eu$Compound <- factor( # Compound levels are ordered based on the data table on [[TEF]] |
| | eu$Compound, |
| | levels = unique(c(levels(TEF$Compound), levels(eu$Compound))) |
| | ) |
| | eu$Compound <- eu$Compound[,drop=TRUE] |
| | |
| | return(eu) |
| | } |
| | ) |
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| Ethics approval and consent to participate
| | eu <- EvalOutput(eu, verbose=TRUE) |
| Consent for publication
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| Availability of data and material
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| Competing interests
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| Funding
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| Authors' contributions
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| Acknowledgements
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| Authors' information (optional)
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| Please see below for details on the information to be included in these sections.
| | pcb7 <- c("PCB28.31","PCB52","PCB101","PCB118","PCB138","PCB153","PCB180") |
| | | eu2 <- eu[eu$Fish=="Baltic herring" & (eu$Equivalency=="TEF" | eu$Compound %in% pcb7) , ] |
| If any of the sections are not relevant to your manuscript, please include the heading and write 'Not applicable' for that section.
| | eu2 <- oapply(eu2, c("THLcode","Equivalency"), sum) |
| | | result(eu2)[eu2$Equivalency=="Raw"] <- 1 / result(eu2)[eu2$Equivalency=="Raw"] |
| === Ethics approval and consent to participate ===
| | eu2 <- oapply(eu2,"THLcode",prod) |
| | | eu2 <- eu2[eu2$THLcode!="09K0763",] # For some reason, Raw drops out. |
| Manuscripts reporting studies involving human participants, human data or human tissue must:
| | View(eu2@output) |
| | | hist(eu$euResult*12.5) # The chinese PSB7 concentration was 12.5 ug/kg. |
| include a statement on ethics approval and consent (even where the need for approval was waived)
| | </rcode> |
| include the name of the ethics committee that approved the study and the committee’s reference number if appropriate
| |
| | |
| Studies involving animals must include a statement on ethics approval.
| |
| | |
| See our editorial policies for more information.
| |
| | |
| If your manuscript does not report on or involve the use of any animal or human data or tissue, please state “Not applicable” in this section.
| |
| | |
| === Consent for publication ===
| |
| | |
| If your manuscript contains any individual person’s data in any form (including any individual details, images or videos), consent for publication must be obtained from that person, or in the case of children, their parent or legal guardian. All presentations of case reports must have consent for publication.
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| You can use your institutional consent form or our consent form if you prefer. You should not send the form to us on submission, but we may request to see a copy at any stage (including after publication).
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| | |
| See our editorial policies for more information on consent for publication.
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| | |
| If your manuscript does not contain data from any individual person, please state “Not applicable” in this section.
| |
| | |
| === Availability of data and materials === | |
| | |
| All manuscripts must include an ‘Availability of data and materials’ statement. Data availability statements should include information on where data supporting the results reported in the article can be found including, where applicable, hyperlinks to publicly archived datasets analysed or generated during the study. By data we mean the minimal dataset that would be necessary to interpret, replicate and build upon the findings reported in the article. We recognise it is not always possible to share research data publicly, for instance when individual privacy could be compromised, and in such instances data availability should still be stated in the manuscript along with any conditions for access.
| |
| | |
| Data availability statements can take one of the following forms (or a combination of more than one if required for multiple datasets):
| |
| | |
| The datasets generated and/or analysed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS]
| |
| The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
| |
| All data generated or analysed during this study are included in this published article [and its supplementary information files].
| |
| The datasets generated and/or analysed during the current study are not publicly available due [REASON WHY DATA ARE NOT PUBLIC] but are available from the corresponding author on reasonable request.
| |
| Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.
| |
| The data that support the findings of this study are available from [third party name] but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of [third party name].
| |
| Not applicable. If your manuscript does not contain any data, please state 'Not applicable' in this section.
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| | |
| More examples of template data availability statements, which include examples of openly available and restricted access datasets, are available here.
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| BioMed Central also requires that authors cite any publicly available data on which the conclusions of the paper rely in the manuscript. Data citations should include a persistent identifier (such as a DOI) and should ideally be included in the reference list. Citations of datasets, when they appear in the reference list, should include the minimum information recommended by DataCite and follow journal style. Dataset identifiers including DOIs should be expressed as full URLs. For example:
| |
| | |
| | |
| Hao Z, AghaKouchak A, Nakhjiri N, Farahmand A. Global integrated drought monitoring and prediction system (GIDMaPS) data sets. figshare. 2014. http://dx.doi.org/10.6084/m9.figshare.853801
| |
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| With the corresponding text in the Availability of data and materials statement:
| |
| | |
| The datasets generated during and/or analysed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS].[Reference number]
| |
| | |
| === Competing interests ===
| |
| | |
| All financial and non-financial competing interests must be declared in this section.
| |
| | |
| See our editorial policies for a full explanation of competing interests. If you are unsure whether you or any of your co-authors have a competing interest please contact the editorial office.
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| Please use the authors initials to refer to each authors' competing interests in this section.
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| If you do not have any competing interests, please state "The authors declare that they have no competing interests" in this section.
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| | |
| === Funding ===
| |
| | |
| All sources of funding for the research reported should be declared. The role of the funding body in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript should be declared.
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| | |
| === Authors' contributions ===
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| === Acknowledgements ===
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| Please acknowledge anyone who contributed towards the article who does not meet the criteria for authorship including anyone who provided professional writing services or materials.
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| Please note that individual names may not be present in the PubMed record at the time a published article is initially included in PubMed as it takes PubMed additional time to code this information.
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| | |
| === Authors' information ===
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| This section is optional.
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| You may choose to use this section to include any relevant information about the author(s) that may aid the reader's interpretation of the article, and understand the standpoint of the author(s). This may include details about the authors' qualifications, current positions they hold at institutions or societies, or any other relevant background information. Please refer to authors using their initials. Note this section should not be used to describe any competing interests.
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| | |
| == Endnotes == | |
| | |
| Endnotes should be designated within the text using a superscript lowercase letter and all notes (along with their corresponding letter) should be included in the Endnotes section. Please format this section in a paragraph rather than a list.
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| Smith JJ. The world of science. Am J Sci. 1999;36:234-5.
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| Rohrmann S, Overvad K, Bueno-de-Mesquita HB, Jakobsen MU, Egeberg R, Tjønneland A, et al. Meat consumption and mortality - results from the European Prospective Investigation into Cancer and Nutrition. BMC Medicine. 2013;11:63.
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| Article within a journal by DOI
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| Slifka MK, Whitton JL. Clinical implications of dysregulated cytokine production. Dig J Mol Med. 2000; doi:10.1007/s801090000086.
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| Frumin AM, Nussbaum J, Esposito M. Functional asplenia: demonstration of splenic activity by bone marrow scan. Blood 1979;59 Suppl 1:26-32.
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| Book chapter, or an article within a book
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| Wyllie AH, Kerr JFR, Currie AR. Cell death: the significance of apoptosis. In: Bourne GH, Danielli JF, Jeon KW, editors. International review of cytology. London: Academic; 1980. p. 251-306.
| |
| | |
| OnlineFirst chapter in a series (without a volume designation but with a DOI)
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| Saito Y, Hyuga H. Rate equation approaches to amplification of enantiomeric excess and chiral symmetry breaking. Top Curr Chem. 2007. doi:10.1007/128_2006_108.
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| Complete book, authored
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| Blenkinsopp A, Paxton P. Symptoms in the pharmacy: a guide to the management of common illness. 3rd ed. Oxford: Blackwell Science; 1998.
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| Online document
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| Doe J. Title of subordinate document. In: The dictionary of substances and their effects. Royal Society of Chemistry. 1999. http://www.rsc.org/dose/title of subordinate document. Accessed 15 Jan 1999.
| |
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| Online database
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| Healthwise Knowledgebase. US Pharmacopeia, Rockville. 1998. http://www.healthwise.org. Accessed 21 Sept 1998.
| |
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| Supplementary material/private homepage
| |
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| Doe J. Title of supplementary material. 2000. http://www.privatehomepage.com. Accessed 22 Feb 2000.
| |
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| University site
| |
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| Doe, J: Title of preprint. http://www.uni-heidelberg.de/mydata.html (1999). Accessed 25 Dec 1999.
| |
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| FTP site
| |
| | |
| Doe, J: Trivial HTTP, RFC2169. ftp://ftp.isi.edu/in-notes/rfc2169.txt (1999). Accessed 12 Nov 1999.
| |
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| Organization site
| |
| | |
| ISSN International Centre: The ISSN register. http://www.issn.org (2006). Accessed 20 Feb 2007.
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| Dataset with persistent identifier
| |
| | |
| Zheng L-Y, Guo X-S, He B, Sun L-J, Peng Y, Dong S-S, et al. Genome data from sweet and grain sorghum (Sorghum bicolor). GigaScience Database. 2011. http://dx.doi.org/10.5524/100012.
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| == Figures, tables and additional files ==
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| See General formatting guidelines for information on how to format figures, tables and additional files.
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This page is a nugget. The page identifier is Op_en7919
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Moderator:Jouni (see all)
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Citation of this page:
Jouni T. Tuomisto, Arja Asikainen, Päivi Meriläinen, Päivi Haapasaari: Health effects of Baltic herring and salmon: a benefit-risk assessment. Opasnet 2019. [1]. Accessed 01 Sep 2024.
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Health effects of nutrients and environmental pollutants in Baltic herring and salmon: a quantitative benefit-risk assessment is a research manuscript about the Goherr assessment performed on the BONUS GOHERR project between 2015-2018. The manuscript was submitted to BMC Public Health [2]. Thank you for your interest.
Changes to the revision 2019-09-24:
In addition to the analysis presented in this paper, the survey was conducted for the purpose of a consumer perception and consumption study[11] and therefore only part of the survey results are presented in this paper.
→ The survey was designed and conducted for the purposes of this study and another study about consumer perception and consumption. The latter study[11] was published first, and it contains a more detailed description of the study methods, including the questionnaire.
Due to these reasons and according to the national guidelines, there was no need for ethical approval[65].
→ Due to these reasons and according to the national guidelines, there was no need for ethical approval. (National Advisory Board of Research Ethics. Ethical principles of research in the humanities and social and behavioural sciences and proposals for ethical review. Helsinki; 2009. https://www.tenk.fi/sites/tenk.fi/files/ethicalprinciples.pdf. Accessed 24 Sept 2019.)
22. Huan Yang, Pengcheng Xun, Ka He. Fish and Fish Oil Intake in Relation to Risk of Asthma: A Systematic Review and Meta-Analysis. PLOS November 12, 2013. https://doi.org/10.1371/journal.pone.0080048
22. Yang H, Xun P, He K (2013) Fish and Fish Oil Intake in Relation to Risk of Asthma: A Systematic Review and Meta-Analysis. PLOS ONE 8(11): e80048. https://doi.org/10.1371/journal.pone.0080048
23. Asmaa S Abdelhamid, Tracey J Brown, Julii S Brainard, Priti Biswas, Gabrielle C Thorpe, Helen J Moore, Katherine HO Deane, Fai K AlAbdulghafoor, Carolyn D Summerbell, Helen V Worthington, Fujian Song, Lee Hooper. (2018) Omega‐3 fatty acids for the primary and secondary prevention of cardiovascular disease. Cochrane Systematic Review. https://doi.org/10.1002/14651858.CD003177.pub4
Abdelhamid AS, Brown TJ, Brainard JS, Biswas P, Thorpe GC, Moore HJ, Deane KHO, AlAbdulghafoor FK, Summerbell CD, Worthington HV, Song F, Hooper L. Omega‐3 fatty acids for the primary and secondary prevention of cardiovascular disease. Cochrane Database of Systematic Reviews 2018, Issue 11. Art. No.: CD003177. DOI: 10.1002/14651858.CD003177.pub4.
24. Zheng J, Huang T, Yu Y, Hu X et al. Fish consumption and CHD mortality: an updated meta-analysis of seventeen cohort studies. Public Health Nutrition (2012) 15:4:725-737. DOI: https://doi.org/10.1017/S1368980011002254
61. Ignatius S, Delaney A, Haapasaari P. Socio-cultural values as a dimension of fisheries governance: the cases of Baltic salmon and herring. Forthcoming.
Ignatius, S. H. M., Haapasaari, P. E., & Delaney, A. (2017). Socio-cultural values as a dimension of fisheries management: the cases of Baltic salmon and herring. 52. Abstract from BONUS SYMPOSIUM: Science delivery for sustainable use of the Baltic Sea living resources, Tallinna, Estonia.
Additional changes due to an additional round of minor improvements
Code for estimating TEQ from chinese PCB7
See Du et al, 2012.
+ Show code- Hide code
library(OpasnetUtils)
objects.latest("Op_en3104", code_name="preprocess") # [[EU-kalat]] eu eu2
objects.latest("Op_en4017", code_name="initiate") # [[Toxic equivalency factor]] TEF
eu <- Ovariable(
"eu",
dependencies = data.frame(
Name=c("euRaw", "TEF", "indexguide"),
Ident=c(NA,"Op_en4017/initiate", NA)
),
formula = function(...) {
euRaw$Length<-as.numeric(as.character(euRaw$Length_mean_mm))
euRaw$Year <- as.numeric(substr(euRaw$Catch_date, nchar(as.character(euRaw$Catch_date))-3,100))
euRaw@marginal[colnames(euRaw@output) %in% c("Length","Year")] <- TRUE
eu <- euRaw[,c(1:4, 10, 20, 21, 18)] # See below + Length, Year, Result
colnames(eu@output)[1:5] <- c("THLcode", "Matrix", "Compound", "Fish", "N")
temp <- eu * TEF
temp$Equivalency <- "TEF"
eu$Equivalency <- "Raw"
eu <- combine(eu, temp)
eu$Compound <- factor( # Compound levels are ordered based on the data table on [[TEF]]
eu$Compound,
levels = unique(c(levels(TEF$Compound), levels(eu$Compound)))
)
eu$Compound <- eu$Compound[,drop=TRUE]
return(eu)
}
)
eu <- EvalOutput(eu, verbose=TRUE)
pcb7 <- c("PCB28.31","PCB52","PCB101","PCB118","PCB138","PCB153","PCB180")
eu2 <- eu[eu$Fish=="Baltic herring" & (eu$Equivalency=="TEF" | eu$Compound %in% pcb7) , ]
eu2 <- oapply(eu2, c("THLcode","Equivalency"), sum)
result(eu2)[eu2$Equivalency=="Raw"] <- 1 / result(eu2)[eu2$Equivalency=="Raw"]
eu2 <- oapply(eu2,"THLcode",prod)
eu2 <- eu2[eu2$THLcode!="09K0763",] # For some reason, Raw drops out.
View(eu2@output)
hist(eu$euResult*12.5) # The chinese PSB7 concentration was 12.5 ug/kg.
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