The Role of Despair in Predicting Self-Destructive Behaviors.

IF 2.6 3区 社会学 Q1 DEMOGRAPHY
Population Research and Policy Review Pub Date : 2025-01-01 Epub Date: 2025-05-13 DOI:10.1007/s11113-025-09952-4
Lauren Gaydosh, Audrey Kelly, Iliya Gutin, Lilly Shanahan, Jennifer Godwin, Kathleen Mullan Harris, William Copeland
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Abstract

Working age (25-64) mortality in the US has been increasing for decades, driven in part by rising deaths due to drug overdose, as well as increases in suicide and alcohol-related mortality. These deaths have been hypothesized by some to be due to despair, but this has rarely been empirically tested. For despair to explain mortality due to alcohol-related liver disease, suicide, and drug overdose, it must first predict the behaviors that lead to such causes of death. To that end, we aim to answer two research questions. First, does despair predict the behaviors that are antecedent to the "deaths of despair"? Second, what measures and domains of despair are most important? We use data from over 6000 individuals at five waves of the National Longitudinal Study of Adolescent to Adult Health and apply supervised machine learning to assess the role of despair in predicting self-destructive behaviors associated with these causes of death. Comparing predictive performance within each outcome using measures of despair to benchmark models of clinical and prior behavioral predictors, we evaluate the added predictive value of despair above and beyond established risk factors. We find that despair underperforms compared to clinical risk factors for suicidal ideation and heavy drinking, but over performs compared to clinical risk factors and prior behaviors for illegal drug use and prescription drug misuse. We also compare model performance and feature importance across outcomes; our ability to predict thoughts of suicide, drug abuse and misuse, and heavy drinking differs depending on the behavior, and the relative importance of different indicators of despair varies across outcomes as well. Our findings suggest that the self-destructive behaviors are distinct and the pathways from despair to self-destructive behavior varied. The results draw into question the relevance of despair as a unifying framework for understanding the current crisis in midlife health and mortality.

绝望在预测自我毁灭行为中的作用。
几十年来,美国工作年龄(25-64岁)的死亡率一直在上升,部分原因是药物过量导致的死亡率上升,以及自杀和酒精相关死亡率的上升。一些人假设这些死亡是由于绝望,但这很少得到实证检验。绝望要解释酒精相关肝病、自杀和药物过量导致的死亡,就必须首先预测导致这些死亡原因的行为。为此,我们的目标是回答两个研究问题。首先,绝望是否预示了“绝望之死”之前的行为?第二,绝望的哪些措施和领域是最重要的?我们使用了来自全国青少年到成人健康纵向研究的五波6000多人的数据,并应用监督机器学习来评估绝望在预测与这些死亡原因相关的自我毁灭行为中的作用。在每个结果中,使用绝望的测量方法与临床和先前行为预测的基准模型进行比较,我们评估了绝望的附加预测价值,超出了既定的风险因素。我们发现绝望与自杀意念和酗酒的临床危险因素相比表现不佳,但与非法药物使用和处方药滥用的临床危险因素和既往行为相比表现过高。我们还比较了不同结果的模型性能和特征重要性;我们预测自杀、药物滥用和滥用以及酗酒想法的能力因行为而异,不同绝望指标的相对重要性也因结果而异。我们的研究结果表明,自我毁灭行为是不同的,从绝望到自我毁灭行为的途径是不同的。研究结果对绝望作为理解当前中年健康和死亡率危机的统一框架的相关性提出了质疑。
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来源期刊
CiteScore
3.40
自引率
4.20%
发文量
55
期刊介绍: Now accepted in JSTOR! Population Research and Policy Review has a twofold goal: it provides a convenient source for government officials and scholars in which they can learn about the policy implications of recent research relevant to the causes and consequences of changing population size and composition; and it provides a broad, interdisciplinary coverage of population research. Population Research and Policy Review seeks to publish quality material of interest to professionals working in the fields of population, and those fields which intersect and overlap with population studies. The publication includes demographic, economic, social, political and health research papers and related contributions which are based on either the direct scientific evaluation of particular policies or programs, or general contributions intended to advance knowledge that informs policy and program development.
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