A Multi-Site Analysis of the Prevalence of Food Insecurity in the United States, before and during the COVID-19 Pandemic

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Abstract

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  1. SciScore for 10.1101/2021.07.23.21260280: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line AuthenticationAuthentication: In some more recent surveys (i.e. Massachusetts, NY-Central/Upstate and the second Washington survey) and in Michigan respondents answered questions about food security in the past 30 days, which is validated through the USDA module.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    NFACT study sites distributed the NFACT surveys (in whole or part) online pursuing one of three sampling strategies: 1) Convenience sampling in partnership with community organizations, stakeholders, social media, and/or news media, which are not representative of a state population (ten sites); 2) Quota sampling using survey panels administered by Qualtrics (Provo, UT), a survey research company, in which the quotas aimed to achieve state representation on some characteristics (e.g. race, ethnicity, income) (eight sites); or 3) Quota or convenience sampling in which certain high-risk populations (e.g. low-income, BIPOC, or Supplemental Nutrition Assistance Program (SNAP) participants) were targeted (six sites).
    Nutrition Assistance Program
    suggested: None
    SNAP
    suggested: (SNAP, RRID:SCR_007936)

    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:
    Limitations: In presenting our results, we recognize two key limitations. First, research that requires participants to report eating or food-related behaviors is challenged by both recall and social desirability bias (45). Retrospectively asking participants about food insecurity has been shown to lead to overestimation of pre-COVID prevalence of food insecurity (34), suggesting our study may contain similar overestimations. However, we try to address this potential limitation by reporting percent change between pre and during COVID-19 food security, in addition to absolute prevalence of food insecurity, though if the overall pre-pandemic levels of food insecurity are lower, our absolute food insecurity prevalence is likely underestimated. While there has been some skepticism about the high prevalence of food insecurity reported since the COVID-19 pandemic began, our results confirm this high prevalence while providing a more robust measure to benchmark changes. Second, surveys across all research sites included in this study were administered online, limiting respondents to those with computer skills and internet access. This potentially introduced a barrier for some (though not all) elderly or low-income potential respondents (46, 47), as well as those living in rural areas without reliable internet (48). Our study employed a number of methods to overcome this challenge across different sampling strategies. These strategies included partnering with non-profit and community...

    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.

    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.