Barata R B, Ribeiro M C, Guedes M B, de Moraes J C
Department of Social Medicine, Santa Casa Medical Sciences School, Sao Paulo, Brazil.
Soc Sci Med. 1998 Jul;47(1):19-23. doi: 10.1016/s0277-9536(97)10130-7.
The objective of this research was to analyze the relationship between socioeconomic statistics and homicide mortality rates in the city of São Paulo between 1988 and 1994. City districts were grouped into five geographic areas. A socioeconomic indicator (ISE) was constructed with census information combining average income of the family head, illiteracy rate for the population over 5 yr of age, average number of rooms and number of persons per household. The higher the score, the better the socioeconomic situation (possible values: 4 to 384). Deaths from homicide were grouped by residential areas, and the rates for these areas were calculated. The association between homicide rates and the socioeconomic situation was analyzed with Spearman correlation coefficients. Average ISE scores varied from 291 in the Central area (homicide rate = 27.96 deaths per 100000) to 119.9 in the East area (homicide rate = 40.38). The Spearman coefficient between ISEs and homicide rates was -0.98 (p < 0.05). Due to the heterogeneity inside the areas, the median ISE is a better indicator of the socioeconomic conditions yielding an rs = -1.0. Almost half the population resides in areas with the highest risk of homicide mortality (East and South). Taking the Central area as a reference, we found risks of 1.36 in the Western, 1.37 in the Northern, 1.44 in the Eastern and 2.67 in the Southern areas.
本研究的目的是分析1988年至1994年圣保罗市社会经济统计数据与凶杀死亡率之间的关系。城市分区被划分为五个地理区域。利用人口普查信息构建了一个社会经济指标(ISE),该指标综合了户主的平均收入、5岁以上人口的文盲率、平均房间数和每户人数。分数越高,社会经济状况越好(可能值:4至384)。凶杀死亡按居住地区分组,并计算这些地区的死亡率。用斯皮尔曼相关系数分析凶杀率与社会经济状况之间的关联。ISE平均得分从中部地区的291分(凶杀率=每10万人中有27.96人死亡)到东部地区的119.9分(凶杀率=40.38)不等。ISE与凶杀率之间的斯皮尔曼系数为-0.98(p<0.05)。由于各区域内部存在异质性,ISE中位数是社会经济状况的更好指标,rs=-1.0。几乎一半的人口居住在凶杀死亡率最高的地区(东部和南部)。以中部地区为参照,我们发现西部地区的风险为1.36,北部地区为1.37,东部地区为1.44,南部地区为2.