The impact of the initial and second national COVID-19 lockdowns on mental health in young people with and without pre-existing depressive symptoms
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SciScore for 10.1101/2021.11.03.21265861: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.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:Strengths and limitations: Strength’s worth highlighting, is the tandem use of longitudinal data on individuals aged 18-24 and repeated samples of individuals aged 18 years originating from the same baseline population. Moreover, our data collection during the initial lockdown included up to 7 measurements spanning the reopening phases, …
SciScore for 10.1101/2021.11.03.21265861: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.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:Strengths and limitations: Strength’s worth highlighting, is the tandem use of longitudinal data on individuals aged 18-24 and repeated samples of individuals aged 18 years originating from the same baseline population. Moreover, our data collection during the initial lockdown included up to 7 measurements spanning the reopening phases, as well as one measurement subsequent to a second and more prolonged lockdown. The repeated cross-sections allow us to quantify seasonal variations and is only vulnerable to attrition if the participation in DNBC-18 systematically changed over year of birth or season, as opposed to the longitudinal setup which is more vulnerable to attrition due to loss to follow-up. We attempted to reduce bias from differential attrition by inverse probability weighting. The validity of this method relies on a correctly specified model including all relevant predictors for loss to follow-up, which cannot be assumed. Interpretation of our findings likewise deserves consideration of a few limitations. In the longitudinal setup, the baseline data was collected at age 18 years and three months for all participants, whereas the participants’ ages during lockdown was 18-24 years. Thus, the timespan between the before and during lockdown measurement was greater for the older participants. For older participants, changes in mental health may be underestimated, since the pre-lockdown measurement represent a younger age than the follow-up measures, and on average repor...
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.
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