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自杀率与社会经济地位及社会隔离的关联:基于纵向登记和人口普查数据的研究结果

Associations of Suicide Rates With Socioeconomic Status and Social Isolation: Findings From Longitudinal Register and Census Data.

作者信息

Näher Anatol-Fiete, Rummel-Kluge Christine, Hegerl Ulrich

机构信息

Department of Pneumology, Helios Klinikum Emil von Behring, Berlin, Germany.

Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.

出版信息

Front Psychiatry. 2020 Jan 14;10:898. doi: 10.3389/fpsyt.2019.00898. eCollection 2019.

Abstract

Suicide represents a major challenge to public mental health. In order to provide empirical evidence for prevention strategies, we hypothesized current levels of low socioeconomic status (SES) and high social isolation (SI) to be linked to increased suicide rates in N = 390 administrative districts since SES and SI are associated with mental illness. Effects of SES on suicide rates were further expected to be especially pronounced in districts with individuals showing high SI levels as SI reduces the reception of social support and moderates the impact of low SES on poor mental health. We linked German Microcensus data to register data on all 149,033 German suicides between 1997 and 2010 and estimated Prentice and Sheppard's model for aggregate data to test the hypotheses, accounting for spatial effect correlations. The findings reveal increases in district suicide rates by 1.20% (p < 0.035) for 1% increases of district unemployment, suicide rate decreases of -0.39% (p < 0.028) for 1% increases in incomes, increases of 1.65% (p < 0.033) in suicides for 1% increases in one-person-households and increases in suicide rates of 0.54% (p < 0.036) for 1% decreases in single persons' incomes as well as suicide rate increases of 3.52% (p < 0.000) for 1% increases in CASMIN scores of individuals who moved throughout the year preceding suicide. The results represent appropriate starting points for the development of suicide prevention strategies. For the definition of more precise measures, future work should focus on the causal mechanisms resulting in suicidality incorporating individual level data.

摘要

自杀是对公众心理健康的一项重大挑战。为了给预防策略提供实证依据,我们假设,由于社会经济地位(SES)低和社会隔离(SI)程度高与精神疾病相关,在N = 390个行政区中,当前的低SES水平和高SI水平与自杀率上升有关。SES对自杀率的影响预计在SI水平高的地区会尤为明显,因为SI会减少社会支持的接受,并缓和低SES对心理健康不佳的影响。我们将德国微观人口普查数据与1997年至2010年间德国所有149,033例自杀的登记数据相链接,并估计了用于汇总数据的普伦蒂斯和谢泼德模型,以检验这些假设,同时考虑了空间效应相关性。研究结果显示,地区失业率每上升1%,地区自杀率上升1.20%(p < 0.035);收入每增加1%,自杀率下降-0.39%(p < 0.028);一人家庭比例每增加1%,自杀率上升1.65%(p < 0.033);单身人士收入每减少1%,自杀率上升0.54%(p < 0.036);在自杀前一年全年流动的个人的CASMIN分数每增加1%,自杀率上升3.52%(p < 0.000)。这些结果是制定自杀预防策略的合适起点。为了定义更精确的措施,未来的工作应关注导致自杀倾向的因果机制,并纳入个人层面的数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da4b/6971176/1a9c300e3945/fpsyt-10-00898-g001.jpg

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