Nicole L. Novak is with the Population Studies Center, Institute for Social Research, University of Michigan, Ann Arbor. Natalie Lira is with the Department of Latina/Latino Studies, University of Illinois at Urbana-Champaign. Kate E. O'Connor and Alexandra Minna Stern are with the Department of American Culture, University of Michigan. Siobán D. Harlow and Sharon L. R. Kardia are with the Department of Epidemiology, School of Public Health, University of Michigan.
Am J Public Health. 2018 May;108(5):611-613. doi: 10.2105/AJPH.2018.304369. Epub 2018 Mar 22.
To compare population-based sterilization rates between Latinas/os and non-Latinas/os sterilized under California's eugenics law.
We used data from 17 362 forms recommending institutionalized patients for sterilization between 1920 and 1945. We abstracted patient gender, age, and institution of residence into a data set. We extracted data on institution populations from US Census microdata from 1920, 1930, and 1940 and interpolated between census years. We used Spanish surnames to identify Latinas/os in the absence of data on race/ethnicity. We used Poisson regression with a random effect for each patient's institution of residence to estimate incidence rate ratios (IRRs) and compare sterilization rates between Latinas/os and non-Latinas/os, stratifying on gender and adjusting for differences in age and year of sterilization.
Latino men were more likely to be sterilized than were non-Latino men (IRR = 1.23; 95% confidence interval [CI] = 1.15, 1.31), and Latina women experienced an even more disproportionate risk of sterilization relative to non-Latinas (IRR = 1.59; 95% CI = 1.48, 1.70).
Eugenic sterilization laws were disproportionately applied to Latina/o patients, particularly Latina women and girls. Understanding historical injustices in public health can inform contemporary public health practice.
比较加利福尼亚州优生学法律下拉丁裔/人(Latina/o)和非拉丁裔/人(non-Latina/o)的人群绝育率。
我们使用了 1920 年至 1945 年间 17362 份推荐机构患者绝育的表格数据。我们将患者的性别、年龄和居住机构抽象为一个数据集。我们从 1920 年、1930 年和 1940 年的美国人口普查微观数据中提取了机构人口数据,并在人口普查年份之间进行了插值。我们使用西班牙姓氏来识别拉丁裔/人,因为缺乏种族/族裔数据。我们使用泊松回归,每个患者的居住机构都有一个随机效应,以估计发病率比值(IRR),并比较拉丁裔/人和非拉丁裔/人之间的绝育率,按性别分层,并调整绝育年龄和年份的差异。
拉丁裔男性比非拉丁裔男性更有可能被绝育(IRR=1.23;95%置信区间[CI]为 1.15,1.31),而拉丁裔女性的绝育风险甚至更高,相对于非拉丁裔女性(IRR=1.59;95%CI为 1.48,1.70)。
优生绝育法不成比例地适用于拉丁裔/人患者,特别是拉丁裔女性和女孩。了解公共卫生领域的历史不公正可以为当代公共卫生实践提供信息。