Association among income loss, financial strain and depressive symptoms during COVID-19: Evidence from two longitudinal studies
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SciScore for 10.1101/2020.09.15.20195339: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not 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 had several limitations. First, the sampling was not random, rather we employed a “snowball” recruitment in both cohorts through the investigators’ social networks. Therefore, potential biases that were reported …
SciScore for 10.1101/2020.09.15.20195339: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not 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 had several limitations. First, the sampling was not random, rather we employed a “snowball” recruitment in both cohorts through the investigators’ social networks. Therefore, potential biases that were reported recently in online surveys during COVID-19 should be considered27. Second, we had substantial attrition between T1 and T2 in both studies, especially in Cohort 2, where we were likely underpowered to test longitudinal trajectories. Therefore, a type II error is possible. Third, in Cohort 1, the measure for income loss was binary, which limited us in assessing variability in the trajectory over time. Lastly, our study employed online crowdsourcing data collection, with all of its inherent limitations as participants were not interviewed in person30. Still, arguably even when accounting for the limitations mentioned above, that overall the association between objective (income loss) and subjective (financial worries) financial factors with depressive symptoms was replicated in two independent studies mitigates most concerns regarding generalizability of our findings. To conclude, we provide converging evidence to suggest a specific association between financial stressors and depression during a global pandemic. A decrease in income during this time, as well as perceived financial strain, can lead to deterioration in mental health and might generate depression in a specific manner. Our findings may suggest that the “financial COVID-19” could have a serious imp...
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.
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