The adverse impact of consecutive COVID-19 waves on mental health
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Abstract
Background
Although several studies documented the impact of COVID-19 on mental health, the long-term effects of COVID-19 on mental health remain unclear.
Aims
To examine longitudinal changes in mental health prior to and during the consecutive COVID-19 waves in a well-established probability sample.
Method
An online survey was completed by the participants of the COVID-19 add-on study at 4 timepoints (N 1 =1823, N 2 =788, N 3 =532, N 4 =383): pre-COVID period (2014/2015), 1 st COVID-19 wave (April-May, 2020), 2 nd COVID-19 wave (August-October, 2020) and 3 rd COVID-19 wave (March-April, 2021). Data were collected via a set of validated instruments and analysed using latent growth models.
Results
During the pandemic, we observed a significant increase in stress levels (slope=1.127, P<0.001) and depressive symptoms (slope=1.177, P<0.001). The rate of increase in stress levels (cov=2.167, P=0.002), but not in depressive symptoms (cov=0.558, P=0.10), was associated with the pre-pandemic mental health status of the participants. Further analysis revealed two opposing clusters of factors that influenced mental health: loneliness and COVID-19 showed a negative effect on emotionality, while higher resilience acted protectively. A greater increase in stress was observed in women and younger participants.
Conclusions
The surge in stress levels and depressive symptoms persisted across all three consecutive COVID-19 waves. This surge is attributable to the effect of several risk factors including the status of mental health prior to the COVID-19 pandemic. Our findings have implications for strategies promoting resilience and addressing loneliness to mitigate the mental health impact of COVID-19 pandemic.
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SciScore for 10.1101/2021.07.25.21261094: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Cell Line Authentication Authentication: E-questionnaire was completed through an online survey module using validated RedCap software (Research Electronic Data Capture) tool16. 330 out of 715 participants who originally enrolled into the Covid-19 add-on study (46%) completed e-questionnaire prior to and during all of the three Covid-19 waves. Table 2: Resources
Software and Algorithms Sentences Resources E-questionnaire was completed through an online survey module using validated RedCap software (Research Electronic Data Capture) tool16. 330 out of 715 participants … SciScore for 10.1101/2021.07.25.21261094: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Cell Line Authentication Authentication: E-questionnaire was completed through an online survey module using validated RedCap software (Research Electronic Data Capture) tool16. 330 out of 715 participants who originally enrolled into the Covid-19 add-on study (46%) completed e-questionnaire prior to and during all of the three Covid-19 waves. Table 2: Resources
Software and Algorithms Sentences Resources E-questionnaire was completed through an online survey module using validated RedCap software (Research Electronic Data Capture) tool16. 330 out of 715 participants who originally enrolled into the Covid-19 add-on study (46%) completed e-questionnaire prior to and during all of the three Covid-19 waves. RedCapsuggested: (REDCap, RRID:SCR_003445)Data analysis and visualization were performed in the R (v.4.1.0) environment with rstatix, sjmisc, ggplot2, and pheatmap packages. ggplot2suggested: (ggplot2, RRID:SCR_014601)pheatmapsuggested: (pheatmap, RRID:SCR_016418)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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.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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