Abstract
Objectives: Suicide is closely related to sociological factors, but sociological analyses of suicide risk in leukemia are lacking. This study is the first to use the Surveillance, Epidemiology, and End Results Program (SEER) database to analyze sociological risk factors for suicide death in leukemia patients. Methods: A retrospective search of the SEER database was conducted. Logistic regression was used to identify independent risk factors for suicide death. Variables significant in the univariate logistic regression models were subsequently analyzed using multivariate regression. Results: The death rate was highest in California (1.73%). Suicide mortality was more common during the 1970s and 1980s, after which it trended downward. Young age at diagnosis (18–34 vs. >64 years: odds ratio [OR] = 1.537, 95% confidence interval [CI] = 1.007–2.347; 35–64 vs. >64 years: OR = 1.610, 95% CI = 1.309–1.979), being male (OR = 1.518, 95% CI = 1.230–1.873), and living where a high proportion of people have at least a bachelor’s degree (>50% vs. <20%: OR = 8.115, 95% CI = 5.053–13.034) significantly increased suicide death risk. Conclusion: Our findings could increase clinician awareness of and appropriate support for leukemia patients at risk of death by suicide.
| Original language | English |
|---|---|
| Journal | Journal of International Medical Research |
| Volume | 48 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Incidence
- SEER database
- death by suicide
- leukemia
- population-based
- regression
- sociological risk factors
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