High level of anxiety and depressive symptoms for 28% and 22% of the total population respectively.
According to the PHQ-4 scale: 54% of subjects had normal levels of anxiety and depression, 23% of mild symptoms, 13% of moderate symptoms, and 10% of severe symptoms.
Exploratory factor analysis: parallel analysis revealed a 5-dimensional solution instead of 6 predicted. Inter-correlation between dimensions ranges from 0.29 to 0.49. The 5 dimensions identified are:
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1. fear of COVID-19 dangerousness and contamination
2. fear of socio-economic consequences
3. COVID-19 related xenophobia
4 COVID-19 associated compulsive checks
5. COVID-19 related symptoms of traumatic stress.
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Maintenance of 12 items instead of 6 for the dimension grouping "fear of the dangerous nature of the pandemic and contamination", allowing those two aspects to be separated in future studies.
Confirmatory factor analysis: good quality of estimate with RMSEA = 0.050 (95% CI: 0.049-0.051), SRMR = 0.042 and CFI = 0.93.
A robustness analysis with 2-factor confirmatory factor analysis with simultaneous adjustment on both populations shows a good quality of estimation (RMSEA = 0.050, SRMR = 0.053 and CFI = 0.92) and therefore a reproducible factor structure between these two countries.
Internal coherence: good to excellent depending on population and size. All scales were cross-correlated, indicating consistent COVID-19 stress syndrome.
Convergent validity: favorable because the correlations between CSS scales (COVID-19 Stress Scales) and pre-COVID personality traits of anxiety and obsession-compulsion were significant and ranging from medium to important.
Discriminant validity: all correlations favored good discriminant validity
- Pre-proof study (-)
- Based on an online self-administered questionnaire (-)
- Scale created from two geographically close and culturally relatively close populations (-)
- Adjustment of existing scales (-)
- Alpha risk correction (+)
- No validity evaluation via the use of DSM-5 diagnostics e.g. (-)
- No comparison to other methods evaluating COVID-19-associated anxiety unpublished at the time of the study (-)
Subjects have an average age of 49 years (18 to 94 years), 53% are men and 79% have reached higher education.
The survey included demographic questions, including current anxiety and depression, pre-pandemic personality traits, and COVID-19-associated mental disorders (over the previous 7 days, assessed on a 5-point scale).
For the latter, pre-identification of 6 domains via literature and expert opinion:
Validation scales: use of personality trait measurements to assess convergent and discriminant validity as well as social desirability bias.
Scale Construction and Assessment Procedures: Separate results for both countries to determine robustness.
For each scale, a parallel analysis was conducted.
For each scale, select the 6 items with the highest demands, for each of the two countries.
Exploratory factor analysis of the 36 items selected (6 domains * 6 items) on the Canadian population followed by assessment of the stability of the multifactorial structure by confirmatory factor analysis on the US population.
Quality of fit indices: SRMR (Standardized-Root-Mean-Square Residual), RMSEA (Root-Mean-Square Error of Approximation) and CFI (Comparative Fit Index).
Internal consistency was assessed using Cronbach's alpha coefficient and multiple correlation analyses were conducted.
Adjustment of the alpha risk significance threshold to 0.01 to take into account the multiplicity of analyses.
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