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. 2023 Jun 15;23:434. doi: 10.1186/s12888-023-04914-6

Table 4.

A logistic regression estimation results of adolescent’s temperaments with attempted suicide as a dependent variable, after controlling for individual differences

Temperament Model 1 Model 2 Model 3 Model 4
β OR (95% Cl) β OR (95% Cl) β OR (95% Cl) β OR (95% Cl)
Activity Level General 0.149 1.16* (1.03–1.32) 0.147 1.16* (1.02–1.32) 0.123 1.13 (0.987 − 1.30) 0.070 1.07 (0.928 − 1.24)
Approach/Withdrawal − 0.065 0.937 (0.799 − 1.10) − 0.100 0.905 (0.761 − 1.08) − 0.095 0.909 (0.760 − 1.09) − 0.051 0.951 (0.780 − 1.16)
Flexibility/Rigidity − 0.142 0.867 (0.717 − 1.05) − 0.113 0.893 (0.733 − 1.09) − 0.006 0.994 (0.795 − 1.24) − 0.055 0.946 (0.743 − 1.20)
Mood − 0.201 0.818*** (0.727 − 0.921) − 0.182 0.833** (0.740 − 0.939) − 0.183 0.833** (0.736 − 0.942) − 0.128 0.880* (0.773 − 0.998)
Rhythmicity Sleep − 0.171 0.843* (0.710 − 0.973) − 0.140 0.870 (0.727 − 1.04) − 0.095 0.909 (0.757 − 1.09) − 0.108 0.898 (0.735 − 1.10)
Rhythmicity Eating − 0.002 0.998 (0.858 − 1.16) − 0.041 1.04 (0.886 − 1.23) − 0.060 1.06 (0.898 − 1.26) − 0.075 1.08 (0.904 − 1.29)
Flexibility/Rigidity x Mood − 0.059 0.943** (0.900 − 0.987) − 0.054 0.948* (0.902 − 0.996) − 0.053 0.949* (0.902 − 0.996) − 0.046 0.955* (0.904 − 0.989)
PARQ (Father) -- -- 0.006 1.01 (0.991 − 1.02) 0.002 1.00 (0.986 − 1.02) 0.005 1.01 (0.987 − 1.02)
PARQ (Mother) -- -- 0.017 1.02* (0.980 − 0.996) 0.013 1.01 (0.994 − 1.03) 0.002 1.00 (0.981 − 1.02)
ASQ -- -- -- -- 0.019 1.02* (1.01–1.04) 0.019 1.02* (1.01–1.04)
MDD Comorbidity -- -- -- -- -- -- 2.37 10.7** (2.24–51.39)

*p < 0.05; **p < 0.01; ***p < 0.001

PARQ = Parental Acceptance and Rejection Questionnaire; ASQ = Adolescent Stress Questionnaire; MDD = Major Depressive Disorder; MDD Comorbidity = Presence of a second disorder on top of MDD

Models 1–4 adjusted for all demographic variables (i.e., age, sex, religion, education level, housing type) and other temperament traits (i.e., Activity Level Sleep, Rhythmicity (Daily Habits), Task Orientation). None of these variables were statistically significant (all p > 0.05)

Note: Multicollinearity diagnostics were assessed using the Values of Variance Inflation Factor (VIF), where a score below 2.5 indicates absence of multicollinearity. VIF values of all predictors were below 1.60, indicating our findings were unlikely due to spurious effects