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Risk factors for suicide in depression in Finland: first‐hospitalized patients followed up to 24 years
Author(s) -
Aaltonen K. I.,
Isometsä E.,
Sund R.,
Pirkola S.
Publication year - 2019
Publication title -
acta psychiatrica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.849
H-Index - 146
eISSN - 1600-0447
pISSN - 0001-690X
DOI - 10.1111/acps.12990
Subject(s) - depression (economics) , medicine , hazard ratio , socioeconomic status , suicide prevention , demography , poison control , suicide risk , psychiatry , injury prevention , suicide attempt , confidence interval , medical emergency , environmental health , population , sociology , economics , macroeconomics
Objective To examine longitudinally risk factors for suicide in depression, and gender differences in risk factors and suicide methods. Method We linked data from (i) The Finnish Hospital Discharge Register, (ii) the Census Register of Statistics Finland, and (iii) Statistics Finland's register on causes of deaths. All 56 826 first‐hospitalized patients (25 188 men, 31 638 women) in Finland in 1991–2011 with a principal diagnosis of depressive disorder were followed up until death (2587 suicides) or end of the year 2014 (maximum 24 years). Results Clinical characteristics (severe depression adjusted hazard ratio [AHR] 1.19 [95% CI 1.08–1.30]; psychotic depression AHR 1.45 [1.30–1.62]; and comorbid alcohol dependence AHR 1.26 [1.13–1.41]), male gender (AHR 2.07 [1.91–2.24]), higher socioeconomic status and living alone at first hospitalization were long‐term predictors of suicide deaths. Highest risk was associated with previous suicide attempts (cumulative probability 15.4% [13.7–17.3%] in men, 8.5% [7.3–9.7%] in women). Gender differences in risk factors were modest, but in lethal methods prominent. Conclusion Sociodemographic and clinical characteristics at first hospitalization predict suicide in the long term. Inpatients with previous suicide attempts constitute a high‐risk group. Despite some gender differences in risk factors, those in lethal methods may better explain gender disparity in risk.