Hazuda H P, Comeaux P J, Stern M P, Haffner S M, Eifler C W, Rosenthal M
Am J Epidemiol. 1986 Jan;123(1):96-112. doi: 10.1093/oxfordjournals.aje.a114228.
Because the issue of how to empirically identify Mexican Americans in health-related research is still unresolved, the authors compared the performance of three indicators for identifying Mexican Americans across five distinct population subgroups: men and women in two age strata, and residents in low, middle, and high socioeconomic neighborhoods. Individual surname had the lowest sensitivity, specificity, and predictive values in the pooled population sample and varied the most widely on these parameters across population subgroups. Parental surnames, which are available on vital statistics and could easily be added to other health records used in secondary analyses, offered a significant improvement over individual surname in classifying persons as Mexican American. The San Antonio Heart Study (SAHS) algorithm, a nine-item indicator which uses parental surnames, birthplace of both parents, self-declared ethnic identity, and ethnic background of grandparents, had the highest sensitivity, specificity, and predictive values and varied the least on these parameters across different sex, age, and socioeconomic status population subgroups. The performance of all indicators was lower at the higher socioeconomic status levels. The findings suggest that it may be useful to use parental surnames as an indicator for Mexican-American ethnicity in research involving vital statistics and to add parental surnames to other health records frequently used in secondary analyses. Since the SAHS algorithm can be adapted for use with non-Mexican origin Hispanic subgroups, it may be a useful indicator for Mexican-American (or other Hispanic) ethnicity in survey research.
由于在健康相关研究中如何通过实证识别墨西哥裔美国人的问题仍未得到解决,作者比较了三种识别墨西哥裔美国人的指标在五个不同人群亚组中的表现:两个年龄层的男性和女性,以及低、中、高社会经济社区的居民。在总体人群样本中,个人姓氏的敏感性、特异性和预测值最低,并且在这些参数上,不同人群亚组之间的差异最为显著。父母姓氏可从人口动态统计数据中获取,并且可以轻松添加到二次分析中使用的其他健康记录中,在将人群分类为墨西哥裔美国人方面,它比个人姓氏有显著改进。圣安东尼奥心脏研究(SAHS)算法是一个包含九个条目的指标,它使用父母姓氏、父母双方的出生地、自我宣称的种族身份以及祖父母的种族背景,具有最高的敏感性、特异性和预测值,并且在不同性别、年龄和社会经济地位的人群亚组中,这些参数的变化最小。在较高社会经济地位水平上,所有指标的表现都较低。研究结果表明,在涉及人口动态统计的研究中,将父母姓氏用作墨西哥裔美国人种族的指标,并将父母姓氏添加到二次分析中经常使用的其他健康记录中,可能会很有用。由于SAHS算法可以适用于非墨西哥裔的西班牙裔亚组,因此在调查研究中,它可能是墨西哥裔美国人(或其他西班牙裔)种族的一个有用指标。