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自杀:谁在统计?

Suicide: who's counting?

作者信息

Farberow N L, MacKinnon D R, Nelson F L

出版信息

Public Health Rep. 1977 May-Jun;92(3):223-32.

Abstract

A study of suicide certifications explored their accuracy in the light of the difficulties inherent in the certification of death. The primary question addressed was whether the variation in reported suicide rates was significantly related to the structure, function, and procedures of coroners' offices, in comparison with traditional social aspects of the community, such as demographic factors, socioeconomic status, and residential mobility. A stratified sample of 202 counties in the 11 continental western States was selected, and data on coroners' offices were obtained from 191 of these counties. These data were analyzed by means of weighted least squares, which separately related coroner's office variables and community variables to indirectly age-standardized suicide rates. Data for counties with populations of 30,000 or more and those with less than 30,000 were also separately analyzed. Assessment of the multiple regression analyses suggests that the coroner's office variables compare favorably with the community variables in predicting suicide rates, provided a distinction is made between large and small counties. The coroner's office variables in counties with 30,000 or more population explained 37 percent of the variation in reported suicide rates, whereas the community characteristics explained 41 percent. In the counties with less than 30,000 coroner's office variables explained 24 percent of the variation, while community variables explained 13 percent. In the more populous counties, the characteristics of the coroners most predictive of the suicide rates were a nonrejecting attitude toward suicide, an interest in the personal aspects of the deceased, and concern with the physical circumstances of the death. In the less populous counties, the variables most predictive of the suicide rates were related to the physical aspects of the death.

摘要

一项关于自杀证明的研究,鉴于死亡证明过程中存在的固有困难,探讨了这些证明的准确性。所解决的主要问题是,与社区的传统社会因素(如人口统计学因素、社会经济地位和居住流动性)相比,报告的自杀率差异是否与验尸官办公室的结构、职能和程序显著相关。在西部大陆11个州选取了202个县的分层样本,并从其中191个县获取了验尸官办公室的数据。这些数据通过加权最小二乘法进行分析,该方法分别将验尸官办公室变量和社区变量与间接年龄标准化自杀率相关联。人口在3万及以上的县和人口不足3万的县的数据也分别进行了分析。多元回归分析的评估表明,如果区分大县和小县,验尸官办公室变量在预测自杀率方面与社区变量相比表现良好。人口在3万及以上的县,验尸官办公室变量解释了报告自杀率变化的37%,而社区特征解释了41%。在人口不足3万的县,验尸官办公室变量解释了24%的变化,而社区变量解释了13%。在人口较多的县,最能预测自杀率的验尸官特征是对自杀不排斥的态度、对死者个人情况的关注以及对死亡身体状况的关切。在人口较少的县,最能预测自杀率的变量与死亡的身体状况有关。

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