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  1. SciScore for 10.1101/2022.05.11.22274937: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variableThe following variables in Wave 10 (2018-19) were considered to explore differences in changes over time: 1) sex (male / female), 2) living with a partner (yes / no), 3) having a White UK ethnicity (yes / no), 4) having a university degree (yes / no), 5) their current occupation level based on the 3-category National Statistics Socioeconomic Classification (professional or managerial / intermediate / routine or manual / not currently employed), and 6) their net household monthly income (quintile-based).
    RandomizationI then test population-average estimates (i.e., pooled Poisson and linear models with clustered standard errors) and subject-specific estimates (i.e., random-intercept Poisson and linear models) to assess changes over time in: 1) smoking prevalence among the full sample of observations (Table 2), and 2) cigarettes smoked per day among the subsample of observations that smoked (Table 3).6 Finally, I tested interactions and their statistical significance to see if changes varied across groups.
    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:
    This study is not without limitations. Only 26% of those aged 35-64 with a full interview in 2018-19 were included in our analytic sample, meaning that our analyses are unlikely to be representative despite the use of the survey weights provided by the UKHLS team. The focus on middle-aged adults precludes generalisations to other age groups, particularly younger adults who are still in the process of initiating smoking9,10 and have faced the brunt of the economic consequences of the pandemic.11 Results from the English Smoking Toolkit Study, which recorded a potential increase in smoking prevalence among those aged 16-24 between 2019 and 2021, support the call for better evidence in young adults.12 The findings here may also not align with the reality of other countries in keeping with the intensity of the impact of the pandemic and the government’s response.13 Despite these concerns, the findings represent encouraging results. Since disasters and recessions affect individuals over a long period of time, studies will be needed to understand the long-term effects of the pandemic on smoking trajectories over the next decade.

    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.

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