Table 2. Predictor models for incidence of suicidal ideation.
| Simple model* | Multi-predictor model† | |||
|---|---|---|---|---|
| OR | 95%CI | OR | 95%CI | |
| Sex (female) | 1.76 | 1.10-2.80‡ | 1.16 | 0.71-1.91 |
| Age | 0.96 | 0.94-0.99‡ | 0.98 | 0.95-1.02 |
| White | 0.79 | 0.51-1.24 | 1.18 | 0.77-1.91 |
| College degree | 0.67 | 0.43-1.02 | 0.82 | 0.49-1.38 |
| High income§ | 0.56 | 0.36-0.88‡ | 0.99 | 0.55-1.76 |
| Common mental disorder|| | 8.63 | 5.47-13.62¶ | 7.17 | 4.43-11.58¶ |
| Financial impact** | 1.63 | 1.01-2.63‡ | 1.32 | 0.79-2.18 |
| Chronic diseases | 1.66 | 1.07-2.59‡ | 1.53 | 0.96-2.42 |
| Alcohol abuse | 1.20 | 0.43-3.38 | - | - |
| Childhood adversity†† | 2.34 | 1.51-3.60¶ | 1.72 | 1.09-2.72‡ |
| Living alone | 1.28 | 0.75-2.10 | - | - |
95%CI = 95% confidence interval; OR = odds ratio.
Single predictor logistic regression model with suicidal ideation incidence as outcome;
Multiple predictor logistic regression model with the same outcome, including only significant predictors from the single predictor models and adjusted for sociodemographic variables;
p < 0.05;
Household income superior to the median of the sample;
Had a common mental disorder diagnosis at wave 3 (2016-2018);
p < 0.001;
Household income fell more than 50% during pandemic;
had at least one adverse childhood experience.