The intersectional effects of sex and socioeconomic status on risk of mortality in industrializing England.

IF 1.7 2区 生物学 Q1 ANTHROPOLOGY
Samantha L Yaussy
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Abstract

Objectives: 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.

Materials and methods: 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.

Results: 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.

Conclusions: 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.

在工业化的英格兰,性别和社会经济地位对死亡风险的交叉影响。
目的:交叉性理论认为,多层次的边缘化相互作用,产生了当今和过去的虚弱和死亡率模式。为了研究工业化时期的死亡率是如何根据性别和社会经济地位(SES)进行选择的,本研究分析了英国 18-19 世纪四个墓地的数据:材料和方法:圣布里德教堂被视为高社会经济地位组,而教练巷、圣彼得教堂和新本希尔菲尔德则作为低社会经济地位组进行单独和集体分析。性别(年龄在 18 岁以上的个体)被作为影响 Gompertz 死亡率模型的协变量,而 SES(年龄可估算的个体)被作为影响 Siler 和 Gompertz 死亡率模型的协变量:结果表明,性别对高社会经济地位组成人的死亡风险有影响。与高社会经济地位女性相比,高社会经济地位男性面临的死亡风险较低。结果还表明,社会经济地位对所有年龄段的死亡风险都有影响。高社会经济地位人群的死亡风险低于低社会经济地位人群:结论:低社会经济地位人群的死亡风险增加可能是由于英国工业化城市贫困地区的生活水平普遍较低。然而,根据交叉性原理,高社会经济地位所带来的好处在高社会经济地位群体的成年人中分布不均,这表明男性是高社会经济地位保护作用的主要受益者。
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