Table 1.
Penalized logistic regression analysis predicting suicidal ideation in a Greek community sample during the second lockdown.
Predictors | Odds Ratio | 95% CI | p-value |
---|---|---|---|
Depression [Potential case (PHQ 2 ≥ 3) vs. Non-case] | 5.85 | 2.17 – 15.74 | <0.001 |
Anxiety [Potential case (GAD 2 ≥ 3) vs. Non-case] | 3.12 | 1.28 – 7.63 | 0.01 |
Suicidal ideation during first lockdown (Yes vs. No) | 17.07 | 7.02 – 41.52 | <0.001 |
Living with a person with frail health and vulnerable for COVID-19 severe infection (Yes vs. No) | 2.38 | 1.06 – 5.28 | 0.03 |
Gender‡ (Women vs. Men) | 1.57 | 0.56 – 4.40 | 0.40 |
Age (per year) | 1.01 | 0.98 – 1.05 | 0.42 |
Mental health history (Yes vs. No) | 1.32 | 0.47 – 3.63 | 0.68 |
Notes: 95% Confidence Interval, 95% CI.
Stepwise penalized logistic regression analysis, with Firth's correction to reduce small-sample size bias.
Regarding gender, due to the fact that only 2 individuals reported “other”, they were not included in the penalized logistic regression analysis.