Safe in my heart: resting heart rate variability longitudinally predicts emotion regulation, worry, and sense of safeness during COVID-19 lockdown

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Abstract

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  1. SciScore for 10.1101/2021.06.17.21259071: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Participants provided informed consent, and the study was approved by the IRBs of King’s College London (LRS-19/20-18429:COVID-19) and Sapienza University of Rome (Prot. 0000653).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.


    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:
    In interpreting our findings, we must acknowledge several limitations. First, due to difficulties in recruiting participants with reliable measures of vmHRV before the pandemic, the sample size is modest and should be extended in the future. Second, we obtained vmHRV measures at T1 with the use of a smartphone app, which could be suboptimal because smartphone apps acquire data using photoplethysmography and cannot discriminate between sinus and non-sinus beats. Nevertheless, we found a significant correlation between vmHRV measures at T1 and T0. Lastly, we do not have measures of emotional regulation strategies at T0, which would have allowed to obtain stronger evidence of the role of HRV as a predictor of coping styles during stressful situations. Notwithstanding these limitations, the present results support the implementation of HRV assessment to identify individuals who are at higher risk to suffer from stress-related symptoms (34) and encourage the use of early interventions such as transcutaneous vagus nerve stimulation, HRV biofeedback and compassion focused interventions to increase vmHRV as a way to foster resilience during challenging pandemic periods and beyond (35, 36).

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

    IdentifierStatusTitle
    NCT04382560CompletedCoping Strategies and Responsiveness to a Brief Online Inter…


    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.

    Results from scite Reference Check: We found no unreliable references.


    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.