美国自杀死亡率的社会空间模式
Kushagra Tiwari1, M Amin Rahimian1, Marie-Laure Charpignon2
1Department of Industrial Engineering, University of Pittsburgh.
medRxiv : the preprint server for health sciences
|September 15, 2025
概括
社交网络影响了自杀率,死亡率更高地蔓延到连接的县. 然而,社会关系也可以传播保护性政策,如极端风险保护令 (ERPO),减少自杀死亡.
科学领域:
- 公共卫生 公共卫生
- 社会学 社会学 社会学
- 网络科学 网络科学
背景情况:
- 自杀死亡率在美国显示出显著的地理和社会人口统计差异.
- 大规模社交网络对这些自杀模式的影响还未得到充分研究.
研究的目的:
- 调查社交网络如何影响自杀死亡风险.
- 评估社会关系在传播自杀风险和枪支限制政策中的作用.
主要方法:
- 利用县级自杀死亡率数据 (2010-2022) 和Facebook的社会联系指数 (SCI).
- 采用双向固定效应回归模型与社会人口统计,经济和空间控制.
- 检查了极端风险保护令 (ERPO) 通过县际社会联系对自杀死亡率的影响.
主要成果:
- 在社会连接的县增加的自杀死亡率与更高的当地自杀率有关.
- 与有ERPO的州有社会联系的县,即使没有地方政策的采用,也显示了自杀率的降低.
- 在连接县的SCI加权自杀死亡率中,一个标准偏差的增加与每10万人的2.78例死亡增加有关.
- 在ERPO社会暴露中,一个标准偏差的增加与每10万人的0.301例死亡率下降相关.
结论:
- 社交网络可以传播负面暴露 (自杀风险) 和积极干预 (保护政策).
- 研究结果强调了需要基于网络的自杀预防策略,考虑到社交网络的拓.
- 网络驱动的方法可以补充传统的地理目标干预措施.
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