Diet and physical activity during the coronavirus disease 2019 (COVID-19) lockdown (March–May 2020): results from the French NutriNet-Santé cohort study

  1. Mélanie Deschasaux-Tanguy
  2. Nathalie Druesne-Pecollo
  3. Younes Esseddik
  4. Fabien Szabo de Edelenyi
  5. Benjamin Allès
  6. Valentina A Andreeva
  7. Julia Baudry
  8. Hélène Charreire
  9. Valérie Deschamps
  10. Manon Egnell
  11. Leopold K Fezeu
  12. Pilar Galan
  13. Chantal Julia
  14. Emmanuelle Kesse-Guyot
  15. Paule Latino-Martel
  16. Jean-Michel Oppert
  17. Sandrine Péneau
  18. Charlotte Verdot
  19. Serge Hercberg
  20. Mathilde Touvier

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Abstract

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  1. Version published to 10.1093/ajcn/nqaa336
  2. ScreenIT

    SciScore for 10.1101/2020.06.04.20121855: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The NutriNet-Santé study is conducted in accordance with the Declaration of Helsinki, and all procedures were approved by the Institutional Review Board of the French Institute for Health and Medical Research (IRB Inserm 0000388FWA00005831) and by the Commission Nationale de l’Informatique et des Libertés (CNIL 908,450 and 909,216).
    Consent: All participants provided informed consent with an electronic signature; this study is registered in ClinicalTrials.gov (NCT03335644).
    RandomizationIn particular, dietary intakes are assessed every 6 months as part of the usual cohort follow-up using three non-consecutive 24h dietary records randomly assigned over two weeks and including two weekdays and one weekend day.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Analyses were computed using SAS 9.3 (SAS Institute Inc., USA).
    SAS Institute
    suggested: (Statistical Analysis System, RRID:SCR_008567)

    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: We detected the following sentences addressing limitations in the study:
    However, some limitations should be acknowledged. Indeed, the NutriNet-Santé study is a long-term prospective study focusing on nutrition and health and based on continued voluntary recruitment since 2009. This implies that the NutriNet-Santé population is composed of more women and individuals with overall higher socioeconomic position compared to the general French population [32,33]. All the analyses were weighted to improve representativeness to overcome this bias. Still, our study likely does not accurately capture the experience of more disadvantaged or older populations. Besides, NutriNet-Santé participants show an interest in nutrition and health and may therefore adopt healthier nutritional behaviours than the overall French population and to consciously rethink their nutritional behaviours to adapt to the new situation and make the most out of it. Still, trends of unfavourable nutritional behaviours during lockdown were observed in this more “health-conscious” population, which raises even more concerns for the general population. To conclude, our results suggested that the lockdown led, in a substantial part of the population, to unhealthy nutritional behaviours that, if maintained in the long term, may increase the nutrition-related burden of disease [3]. A particular vigilance will therefore be needed to assess whether individuals return to healthier nutritional habits at the end of the COVID-19 pandemic, especially considering that unfavourable nutritional behav...

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT03335644RecruitingThe NutriNet-Santé Study

    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 10.1101/2020.06.04.20121855v1 on medRxiv