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预测加利福尼亚州美国原住民高中生的自杀意念

Predicting Suicidal Ideation Among Native American High Schoolers in California.

作者信息

Sierra Valentín Quiroz

出版信息

Arch Suicide Res. 2025 Apr 18:1-18. doi: 10.1080/13811118.2025.2490154.

DOI:10.1080/13811118.2025.2490154
PMID:40249106
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12424082/
Abstract

INTRODUCTION

Suicide is the leading cause of non-accidental death for Native American young people ages 15-24. Alarmingly, suicide rates have continued to rise over the past decade despite ongoing prevention efforts. This shortcoming has urged some scholars to (re)examine dominant theoretical models to better direct suicide prevention efforts in tribal communities.

METHOD

Using Indigenous Wholistic Theory, this study used an algorithmic approach to identify a broader set of factors associated with suicidal ideation among Native American high school students in California (n = 2,609). Data were drawn from the 2019-2020 California Healthy Kids Survey, a statewide school-based dataset. Lasso penalized regression was employed to select the most predictive variables for suicidal ideation from a set of 17 candidate factors.

RESULTS

Ten predictors were retained in the final model: depressive symptoms; school-based victimization; sexual and gender minority status; lifetime use of alcohol, vapes, and cannabis; breakfast consumption; access to alcohol and other drugs; and parent education level.

CONCLUSION

A combination of factors spanning individual, emotional-social, mental-political, and physical-economic domains predicted individualized risk for experiencing suicidal ideation. These findings underscore the need to move beyond psycho-centric models and toward more comprehensive understandings of suicide-related behavior among Native American youth.

摘要

引言

自杀是15至24岁美国原住民年轻人非意外死亡的首要原因。令人担忧的是,尽管一直在努力预防,但自杀率在过去十年中仍持续上升。这一缺陷促使一些学者重新审视主流理论模型,以便更好地指导部落社区的自杀预防工作。

方法

本研究运用本土整体理论,采用算法方法,以确定与加利福尼亚州美国原住民高中生(n = 2609)自杀意念相关的更广泛因素集。数据取自2019 - 2020年加利福尼亚州健康儿童调查,这是一个全州范围的基于学校的数据集。采用套索惩罚回归从17个候选因素中选择自杀意念最具预测性的变量。

结果

最终模型保留了10个预测因素:抑郁症状;校园欺凌;性取向和性别少数群体身份;酒精、电子烟和大麻的终生使用情况;早餐摄入情况;获取酒精和其他毒品的机会;以及父母教育水平。

结论

跨越个人、情感 - 社会、心理 - 政治和身体 - 经济领域的多种因素预测了个体产生自杀意念的风险。这些发现强调,需要超越以心理为中心的模型,对美国原住民青年的自杀相关行为形成更全面的理解。

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本文引用的文献

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Expanding the Question-Persuade-Refer (QPR) Evidence Base: Youth Suicide Prevention among the Mississippi Band of Choctaw Indians.拓展“提问 - 劝说 - 转介”(QPR)证据基础:密西西比乔克托印第安部落的青少年自杀预防
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Int J Environ Res Public Health. 2023 Nov 15;20(22):7064. doi: 10.3390/ijerph20227064.
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Predicting the individualized risk of poor adherence to ART medication among adolescents living with HIV in Uganda: the Suubi+Adherence study.预测乌干达 HIV 感染青少年个体化抗逆转录病毒治疗药物依从性差的风险:Suubi+Adherence 研究。
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The Culture is Prevention Project: Measuring Culture As a Social Determinant of Mental Health for Native/Indigenous Peoples.文化是预防项目:将文化作为原住民/土著人民心理健康的社会决定因素进行衡量。
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A discussion of calibration techniques for evaluating binary and categorical predictive models.关于评估二元和分类预测模型的校准技术的讨论。
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Prevalence and Correlates of Suicidal Ideation Among Transgender Youth in California: Findings From a Representative, Population-Based Sample of High School Students.加利福尼亚州跨性别青年自杀意念的流行率及相关因素:来自具有代表性的、基于人群的高中生样本的研究结果。
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