The impact of the Covid-19 lockdown on the experiences and feeding practices of new mothers in the UK: Preliminary data from the COVID-19 New Mum Study

  1. A. Vazquez-Vazquez
  2. S. Dib
  3. E. Rougeaux
  4. J.C. Wells
  5. M.S. Fewtrell

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Abstract

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  1. Version published to 10.1016/j.appet.2020.104985
  2. ScreenIT

    SciScore for 10.1101/2020.06.17.20133868: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethics and consent: Ethical approval was obtained from the UCL Research Ethics committee (0326/017).
    Consent: The first page of the survey provides information about the study and, having read this, participants are asked to provide consent to participate before proceeding.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableWomen currently living in the UK aged ≥18 years who have an infant currently under 12 months of age are being invited to complete a one-time online survey (The Covid-19 New Mum Survey – https://is.gd/covid19newmumstudy).

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The survey uses the professional software REDCap and can be accessed via a secure webpage from any computer or smartphone with internet access.
    REDCap
    suggested: (REDCap, RRID:SCR_003445)
    Statistical analyses: Data from the survey were exported from REDCap and analysed in SPSS (IBM SPSS statistics v 25).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2020.06.17.20133868v1 on medRxiv