Predicting Suicide Attempt Risk in Older Adults

Sanchez David, Robles-Bello María Auxiliadora
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引用次数: 2

Abstract

Introduction: Suicide attempts double death by suicide rates. To date it remains the only behavior that predicts more harmful future reattempts or deaths from suicide. However, few studies have analyzed the sociodemographic and clinical profiles of older adults who have suffered selfinflicted injuries or attempted suicide. Objective: To assess which sociodemographic and clinical variables are more predictive of a high-lethality or definitive future suicide reattempt in older adults who have suffered self-inflicted injuries or previous suicide attempts. Method: Digital data logged by emergency departments on people aged 50 and overadmitted for self-inflicted injuries or suicide attempt were collected. Results: The binary logistic regression analysis revealed the group of variables most predictive of suicide attempt as being female (OR = 2.70; 95% CI), aged between 61 and 90 years (OR = 6.99; 95% CI), widowed (OR = 3.12; 95% CI), with a pre-existing depressive condition (OR = 3.95; 95% CI) and physical pathologies (OR = 4.98; 95% CI), resorting to single methods (OR = 4.72; 95% CI), and usually discharged from emergency departments (OR = 6.89; 95% CI). Conclusions: There is an urgent need for specific healthcare protocols designed to prevent suicide attempts, adapted to the psychosocial characteristics of this age group. Improvements to social and healthcare warning actions for older adults exhibiting suicide risk profiles also need to be made.
预测老年人自杀企图风险
自杀企图是自杀率的两倍。到目前为止,它仍然是唯一一种预示着未来更有害的再尝试或自杀死亡的行为。然而,很少有研究分析了遭受自我伤害或企图自杀的老年人的社会人口学和临床概况。目的:评估哪些社会人口学和临床变量更能预测自残或自杀未遂的老年人的高致死率或明确的未来再自杀企图。方法:收集急诊部门记录的50岁以上因自伤或自杀未遂而被超限入院的患者的数字数据。结果:二元logistic回归分析显示,最能预测自杀企图的变量组为女性(OR = 2.70;95% CI),年龄在61 - 90岁之间(OR = 6.99;95% CI),丧偶(OR = 3.12;95% CI),既往存在抑郁症(OR = 3.95;95% CI)和生理病理(OR = 4.98;95% CI),采用单一方法(OR = 4.72;95% CI),通常从急诊科出院(OR = 6.89;95%可信区间)。结论:迫切需要针对这一年龄组的心理社会特征制定专门的医疗保健方案,以防止自杀企图。还需要改进针对表现出自杀风险特征的老年人的社会和保健警告行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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