Department of Sociology and Anthropology, James Madison University, Harrisonburg, Virginia, USA.
Am J Biol Anthropol. 2024 Nov;185(3):e25022. doi: 10.1002/ajpa.25022. Epub 2024 Sep 8.
Intersectionality posits that multiple levels of marginalization interact to produce patterns of frailty and mortality, both today and in the past. To investigate how mortality during industrialization was selective with respect to sex and socioeconomic status (SES), this study analyzes data from four burial grounds dated to the 18th-19th centuries in England: St. Bride's Fleet Street, Coach Lane, St. Peter's Collegiate Church, and New Bunhill Fields.
St. Bride's was considered the high SES group, and Coach Lane, St. Peter's, and New Bunhill Fields were separately and collectively analyzed as the low SES groups. Sex (in individuals aged 18+ years) was modeled as a covariate affecting the Gompertz model of mortality, and SES (in individuals for whom age could be estimated) was modeled as a covariate affecting the Siler and Gompertz models of mortality.
The results indicate that sex influenced risk of mortality among adults in the high SES group. High SES males faced lower risks of death compared to high SES females. The results also suggest that SES influenced risk of mortality across all ages. High SES individuals were at reduced risks of death compared to low SES individuals.
Increased mortality risks among individuals of low SES was likely due to the low standards of living common in the impoverished areas of cities in industrializing England. However, in accordance with intersectionality, the benefits of high status were unequally distributed among adults in the high SES group, suggesting that men were the primary beneficiaries of the protective aspects of high SES.
交叉性理论认为,多种边缘化层次相互作用,导致了脆弱性和死亡率的模式,无论是在今天还是过去。为了研究工业化时期的死亡率在性别和社会经济地位(SES)方面是如何具有选择性的,本研究分析了来自英国四个 18 至 19 世纪墓地的数据:圣布赖德舰队街、教练巷、圣彼得学院教堂和新邦希尔菲尔德。
圣布赖德被认为是高 SES 群体,而教练巷、圣彼得教堂和新邦希尔菲尔德则分别和集体被分析为低 SES 群体。性别(18 岁以上个体)被建模为影响死亡率的戈珀兹模型的协变量,而 SES(年龄可以估计的个体)被建模为影响死亡率的西勒和戈珀兹模型的协变量。
结果表明,性别影响高 SES 群体中成年人的死亡率风险。高 SES 男性比高 SES 女性面临更低的死亡风险。结果还表明,SES 影响所有年龄段的死亡率风险。高 SES 个体比低 SES 个体的死亡风险更低。
低 SES 个体的死亡率风险增加可能是由于工业化时期英格兰城市贫困地区普遍存在的低生活水平。然而,根据交叉性理论,高地位的好处在高 SES 群体中的成年人中分配不均,这表明男性是高 SES 保护方面的主要受益者。