Abstract:

Objective To statistically analyze the correlation between factors related to body temperature drop and postmortem interval， and to establish an innovative method for estimating postmortem interval by body temperature. Methods The collection standard of the factors influencing body temperature drop was established. Data of 157 cases which had exact postmortem intervals were collected. The related factors were quantitatively scored according to practical experience and basic statistic requirements. The data were processed by EXCEL and SPSS software， and the correlations between the factors and the postmortem intervals were analyzed with multiple linear regression. Results A statistically significant regression equation was obtained： Y = 25.993 + 0.04X1 + 0.172X2 + 0.88X3 +0.047X4+0.373X5+0.347X6-0.766X7. The correlation coefficient R2 was 0.876. Conclusion The study presented an innovation application of body temperature for estimating postmortem interval， which had been tested in the practical work.

Key words: body temperature, postmortem interval, related factor, quantitative score, multiple linear regression

摘要：

目的 统计分析影响尸体温度下降多因素和死亡时间的相关性，探索尸温推断死亡时间的创新应用。方法 建立影响尸体温度（直肠温度）下降相关因素的采集标准，收集实践工作中的157例明确死亡时间真实案例的相关数据，根据实际工作经验结合统计学的基本要求对各因素进行量化评分，利用EXCEL和SPSS软件对数据进行处理，采用多元线性回归的方法统计分析各影响系数同死亡时间的相关性。结果 获得了具有统计学意义的回归方程，Y=25.993+0.04X1+0.172X2+0.88X3+0.047X4+0.373X5+0.347X6-0.766X7，决定系数R2=0.876。结论 该方法为尸温推断死亡时间的创新应用，经测试可用于实际工作。

关键词: 尸体温度, 死亡时间, 影响因素, 量化评分, 多元线性回归