Surname List Research Articles

The socio-colonial history of Surinamese surnames applied to a validated surname list to identify ancestry in health research.

Around half of the population of Suriname, who are mainly of African and South Asian descent, migrated to the Netherlands at the end of the previous century, where they face higher perinatal and maternal mortality and up to 5 years lower life expectancy than European-Dutch. Analyses by ancestry are needed to address these inequalities, but the law prohibits registration by ancestry. Therefore, a list of Surinamese surnames was compiled and validated to identify the largest groups, African-Surinamese or South Asian-Surinamese ancestry in health research. A complete database of Surinamese surnames was provided by the National Population Registry of Suriname. Surname recognition by researchers of Surinamese ancestry was used. Disagreement was resolved using historical registers and through discussion. The list was further validated against contemporary lists of Surinamese surnames with self-defined ancestry, obtained during population and clinical studies in Suriname and the Netherlands. All 71,529 Surinamese surnames were encoded, as African-Surinamese (34%), South Asian-Surinamese (18%), Brazilian or other Iberian (17%), Indonesian-Surinamese (13%), Chinese-Surinamese (5%), First Nation (2%), and other (10%). Compared to self-defined ancestry, South Asian-Surinamese surname coding had 100% sensitivity, 99.8% specificity, and 99.9% accuracy. For African-Surinamese, who may have Dutch surnames, these values depended on geocoding. With a known Surinamese origin, sensitivity, specificity, and accuracy were, respectively, 97.3%, 100%, and 98.6%, but without this information, there was interference of African-Surinamese with European-Dutch surnames in the Dutch validation sample. In conclusion, the Surinamese Surname List has a high accuracy in identifying persons of Surinamese ancestry. This quick, inexpensive, and nonintrusive method, which is unaffected by response bias, might be a valuable tool in public health research to help address the profound health disparities by ancestry.

Abstract 820: Decolonizing data: Diversifying cancer registries to include SWANA

Abstract Southwest Asian/North African communities (SWANA) make up over 3-4% of immigrants in the U.S. and yet their health status is largely unknown because these ethnic groups are misclassified within the U.S. racial schema as White, deeming them ‘invisible minorities’. Administrative forms specify that White includes Middle-Eastern but SWANA persons may also self-identify as Black, Asian, and Other. With the rise of Islamophobia and increased US intervention in the Middle Eastern region, SWANA Americans face unique challenges that require a deeper understanding of their health status.One methodology to obtain cancer statistics on SWANA is using naming algorithms. Similar to SWANA, the Latine population was invisible in administrative data prior to the 1970’s. Grassroots efforts and advocacy from the Latine community led to the development of validated Latine surname algorithms which have been implemented by the National Cancer Institute. Similarly, SWANA activists have advocated for the creation of a federal identification category for over 50 years arguing that SWANA communities are not perceived as White due, in large part, to a long-standing history of political racism in the United States.The purpose of this study was to develop a SWANA Surname Algorithm (SSA) to inclusively identify SWANA in cancer health data. We used surnames by country of descent to leverage interpretable decision trees to effectively distinguish SWANA from non-SWANA individuals by iteratively selecting the best surname roots at which to split the data to maximize the separation of SWANA individuals from others based on their surname. We integrated these patterns into our SSA so that when presented with a new surname, the algorithm simply follows the decision patterns down to the leaf nodes, otherwise known as the predicted class (SWANA vs non-SWANA).We developed a preliminary SWANA Surname List (SSL) using publicly available naming databases by country of origin (N=71,300). We cross-referenced the SSL against the VCU Massey Cancer Center data repository and found 4.9% of all cancer patients from 2016 to 2020 matched as SWANA. Notably, the prevalence of SWANA patients has been increasing over the last few decades, 3.8% in 1991-1995, to 4.2% in 2001-2005, and then most recently 4.9% in 2016-2020. We will use our SSA to validate these findings. These preliminary findings underscore the valuable insights that naming algorithms can provide in elucidating the true demographic composition of cancer patients. Lack of racial/ethnic disaggregation perpetuates existing inequities in access to essential health resources among SWANA communities. The inclusion of SWANA in cancer disparities research would allow researchers to better examine the cancer health status of this underrepresented but growing community while also aligning with the true racialization of SWANA in the United States. Citation Format: Guleer Shahab, Michael Preston. Decolonizing data: Diversifying cancer registries to include SWANA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 820.

Surname order and revaccination intentions during the COVID-19 pandemic

Teachers in Japanese schools employ alphabetical surname lists that call students sooner, with surnames appearing early on these lists. We conducted Internet surveys nearly every month from March 2020 to September 2022 with the same participants, wherein we asked participants where the alphabetical columns of their childhood and adult surnames were located. We aimed to identify how surname order is important for the formation of noncognitive skills. During the data collection period, the COVID-19 vaccines became available; Japanese people could receive their third dose starting in December 2021. The 19th wave of the survey was conducted in January 2022. Therefore, to examine how a surname’s alphabetical order could influence intention to revaccinate, we used a subsample of data from December 2021 to September 2022. The major findings were as follows. Women with early surnames had an approximately 4% stronger likelihood of having such intentions than men with early surnames. Early name order was more strongly correlated with revaccination intention among women than among men. The surname effect for women was larger when a mixed-gender list was used compared with when it was not used. This effect was only observed for childhood surnames and not for adult surnames.

Disaggregating Latino nativity in equity research using electronic health records.

To develop and validate prediction models for inference of Latino nativity to advance health equity research. This study used electronic health records (EHRs) from 19,985 Latino children with self-reported country of birth seeking care from January 1, 2012 to December 31, 2018 at 456 community health centers (CHCs) across 15 states along with census-tract geocoded neighborhood composition and surname data. We constructed and evaluated the performance of prediction models within a broad machine learning framework (Super Learner) for the estimation of Latino nativity. Outcomes included binary indicators denoting nativity (US vs. foreign-born) and Latino country of birth (Mexican, Cuban, Guatemalan). The performance of these models was compared using the area under the receiver operating characteristics curve (AUC) from an externally withheld patient sample. Census surname lists, census neighborhood composition, and Forebears administrative data were linked to EHR data. Of the 19,985 Latino patients, 10.7% reported a non-US country of birth (5.1% Mexican, 4.7% Guatemalan, 0.8% Cuban). Overall, prediction models for nativity showed outstanding performance with external validation (US-born vs. foreign: AUC = 0.90; Mexican vs. non-Mexican: AUC = 0.89; Guatemalan vs. non-Guatemalan: AUC = 0.95; Cuban vs. non-Cuban: AUC = 0.99). Among challenges facing health equity researchers in health services is the absence of methods for data disaggregation, and the specific ability to determine Latino country of birth (nativity) to inform disparities. Recent interest in more robust health equity research has called attention to the importance of data disaggregation. In a multistate network of CHCs using multilevel inputs from EHR data linked to surname and community data, we developed and validated novel prediction models for the use of available EHR data to infer Latino nativity for health disparities research in primary care and health services research, which is a significant potential methodologic advance in studying this population.

Disaggregating Racial and Ethnic Data: A Step Toward Diversity, Equity, and Inclusion

Disaggregating Racial and Ethnic Data: A Step Toward Diversity, Equity, and Inclusion

Construction of the Armenian Surname List (ASL) for public health research

BackgroundThere are an estimated 460,000 Armenians in the United States, and more than half live in California. Armenian-Americans are generally represented within the ‘White’ or ‘Some Other Race’ race categories in population-based research studies. While Armenians have been included in studies focused on Middle-Eastern populations, there are no studies focused exclusively on Armenians due to a lack of standardized collection of Armenian ethnicity in the United States or an Armenian surname list. To fill this research gap, we sought to construct and evaluate an Armenian Surname List (ASL) for use as an identification tool in public health and epidemiological research studies focused on Armenian populations.MethodsData sources for the ASL included the California Public Use Death Files (CPUDF) and the Middle Eastern Surname List (MESL). For evaluation of the ASL, the California Cancer Registry (CCR) database was queried for surnames with birthplace in Armenia and identified by the MESL.ResultsThere are a total of 3,428 surnames in the ASL. Nearly half (1,678) of surnames in the ASL were not identified by the MESL. The ASL captured 310 additional Armenian surnames in the CCR than the MESL.ConclusionsThe ASL is the first surname list for identifying Armenians in major databases for epidemiological research.

Race and prostate imaging: implications for targeted biopsy and image-based prostate cancer interventions

PurposeFor men with an elevated prostate-specific antigen (PSA), there is a strong evidence for prostate MRI to assess the risk of clinically significant prostate cancer (CSPC) and guide targeted-biopsy interventions....

Screening and follow-up for depression among Arab Americans.

The authors compared proportions and associations of depression screening, major depression, and follow-up care of Arab Americans compared to non-Hispanic whites, non-Hispanic blacks, Asians, and Hispanics. Administrative data was electronically abstracted from a large health system in metropolitan Detroit among 97,918 adult patients in 2014 and 2015. A valid and reliable surname list was used to identify Arab Americans. Using chi-squares, we examined the relationship between race/ethnicity and depression screening, major depression, and follow-up care. We calculated odds ratios (OR) and 95% confidence intervals (CI) to examine the relationship between the main independent variable of race/ethnicity and the dependent variables of depression screening and major depression while controlling for confounders. Arab American women were 23% less likely to be screened for depression compared to non-Hispanic white women (OR=0.77; 95% CI=0.70, 0.86). The age- and sex-adjusted proportions of major depression were 5.5% for Arab Americans compared to 7.0% for Hispanics, 6.0% for non-Hispanic blacks, 5.9% for non-Hispanic whites, and 1.5% for Asians. Arab Americans with major depression were less likely to follow up with a behavioral specialist and more likely to follow up with a primary care physician compared to other racial and ethnic groups. Our study adds to the discourse on depression care among Arab Americans by highlighting the existing disparities related to adequate screening and appropriate management of depression. Future studies should include information about the influences of acculturation, culture, stigma, family, and religion on depression care.

A Note on the 25 Most Frequent Surnames from the 2000 United States Census Bureau List

This note uses the United States Census Bureau database of the 1,000 most frequent surnames from the US census of 2000. It discusses briefly the meaning and origin of the notion of surname. It provides a table of the 25 most frequent surnames in the US from the 2000 census data, including number of people with the surname, and its meaning. This article provides the reader with three useful onomastic research tools for surnames: (1) The US Census Bureau’s list of the 1,000 most frequently occurring surnames for 2000; (2) Patrick Hanks’ Dictionary of American Surnames; and (3) the National Geographic interactive surname list.

Comparing Three Methods of Measuring Race/Ethnicity

AbstractIn this research note, we explore compare and contrast three methods for measuring race. We utilize as our baseline, or “true”, measure expert coded racial categories, and to this compare two alternatives. The first is a hybrid Bayesian analysis of racial/ethnic surname lists and population distributions, which allow us to develop a race probability score for each candidate. The second is a novel and innovative crowdsourcing method that allows many contributors to classify the racial identity of candidates. We analyze and discuss the potential benefits, pitfalls, and tradeoffs of each method. We conclude with the implications of these new measures for future election research as well as race and politics scholarship more broadly.

Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records

In both political behavior research and voting rights litigation, turnout and vote choice for different racial groups are often inferred using aggregate election results and racial composition. Over the past several decades, many statistical methods have been proposed to address this ecological inference problem. We propose an alternative method to reduce aggregation bias by predicting individual-level ethnicity from voter registration records. Building on the existing methodological literature, we use Bayes's rule to combine the Census Bureau's Surname List with various information from geocoded voter registration records. We evaluate the performance of the proposed methodology using approximately nine million voter registration records from Florida, where self-reported ethnicity is available. We find that it is possible to reduce the false positive rate among Black and Latino voters to 6% and 3%, respectively, while maintaining the true positive rate above 80%. Moreover, we use our predictions to estimate turnout by race and find that our estimates yields substantially less amounts of bias and root mean squared error than standard ecological inference estimates. We provide open-source software to implement the proposed methodology.

Comparison of Hispanic and non-Hispanic patients with HCC.

294 Background: In the U.S., Hispanics have a higher incidence of hepatocellular cancer (HCC) and higher disease-specific mortality. The country of origin for Hispanics varies throughout the U.S. However, little is known about Hispanics with HCC in the Northeast. We compared Hispanic and non-Hispanic patients with HCC at a Boston teaching hospital. Methods: Hispanic patients with HCC seen at Beth Israel Deaconess Medical Center (BIDMC) from 1998-2012 were identified in our database. Ethnicity was determined from demographic and language preference information in electronic medical records and supplemented by comparing surnames with the 1990 Census Spanish Surname List. The comparison group was identified by randomly choosing non-Hispanic patients diagnosed the same years as Hispanic patients. We compared both groups using Chi Squared test. Results: 59 Hispanic and 89 non-Hispanic patients with HCC were included in the analysis. The majority (48%) of Hispanic HCC patients were Puerto Rican. Although the median age at diagnosis was similar (59.1 vs 60.3 years for Hispanics and non-Hispanics), there were more women in the Hispanic cohort (28.8% vs 12.4% p0.012). Hispanics had greater odds of not having private insurance (OR 4.24, 95%CI: 2.101, 8.554). Evaluation of HCC risk factors revealed Hispanics were significantly more likely to have hepatitis C (OR 3.68, 95% CI: 1.830, 7.420). In addition, the incidence of Metabolic Syndrome was significantly higher for Hispanics (44.7% vs. 21.7% p0.025). Although individual components of metabolic syndrome were higher in Hispanics, they were not statistically significant: hypertension (52.5% vs 40.4%), Diabetes Mellitus (39% vs 25%), BMI ≥ 30 (39% vs 27%), hypertrigylceridemia (57% vs 52%) and low HDL levels (50% vs 41%). Hispanics were more likely to have received Transarterial Chemoembolization (TACE) and Radiofrequency ablation (RFA) treatments (OR 2.48, 95% CI: 1.261, 4.858). Conclusions: Hispanic HCC patients at BIDMC were more likely to have hepatitis C, metabolic syndrome and to be female than their non-Hispanic counterparts. Outreach to Hispanic communities to identify patients with hepatitis C and metabolic syndrome, particularly in women, may improve HCC prevention, screening and treatment outcomes.

Using Spanish Surname to Estimate Hispanic Voting Population in Voting Rights Litigation: A Model of Context Effects Using Bayes' Theorem

Abstract We offer a simple use of Bayes' Theorem to model the relationship between surname and ethnicity in order to improve present expert witness practices in voting rights litigation. Our aim is to show how to better estimate the overall Hispanic share of the electorate to determine realistic opportunity to elect candidates of choice. We show that there is no such thing as the proportion of bearers of a given name who are Hispanic. How “Hispanic” any given name turns out to be is a function of the overall Hispanicity of the population, which affects both the distribution of names and the conditional probability that the possessor of any given name will be Hispanic. Because of this, the number of names on a surname list (say that of registered voters) that should be counted as Hispanic is not fixed, but rather varies by demographic context. We show how to identify the optimal size of a surname list by balancing false positives and false negatives. We also provide some “quick and dirty” approximation met...

Developing a Multilingual Questionnaire and Surname List to Sample Utah Pacific Islanders

Analyses of Utah vital records indicated that Utah Pacific Islanders had unique health problems that merited further investigation through a behavioral survey. However, statewide surveys did not reach a large enough sample of Pacific Islanders and were not administered in Samoan or Tongan. The authors sought to complete a surveillance study of Utah Pacific Islanders. The authors created a surname list on the basis of names of parents who identified themselves as Pacific Islanders on Utah birth certificates. A questionnaire was developed with input of local Pacific Islanders and administered in English, Samoan, and Tongan. Utah. We interviewed 605 adult Utah Pacific Islanders. The Utah Pacific Islander Survey (UPIS) generated estimates of health status among Utah Pacific Islanders with smaller confidence intervals than those derived from the Utah Behavioral Risk Factor Surveillance System (BRFSS), even when combining 6 years of BRFSS data. Standard errors were less than half the value of the BRFSS estimates in all cases. The UPIS estimated higher rates than the BRFSS for Pacific Islander diabetes, obesity, and male arthritis. Respondents interviewed in Samoan or Tongan had higher rates of diabetes, obesity, and high blood pressure. The UPIS identified significant health disparities among the Utah Pacific Islander population that warrant public health intervention, such as high rates of obesity, diabetes, and high blood pressure and low rates of preventive screening. The UPIS estimates of Utah Pacific Islander health status are more precise than those acquired by the BRFSS, establishing strong baseline data that can be used to measure the success of interventions targeting these disparities.

Validity of Race, Ethnicity, and National Origin in Population-based Cancer Registries and Rapid Case Ascertainment Enhanced With a Spanish Surname List

Accurate information regarding race, ethnicity, and national origins is critical for identifying disparities in the cancer burden. To examine the use of a Spanish surname list to improve the quality of race-related information obtained from rapid case ascertainment (RCA) and to estimate the accuracy of race-related information obtained from cancer registry records collected by routine reporting. Self-reported survey responses of 3954 participants from California enrolled in the Cancer Care Outcomes Research and Surveillance Consortium. Sensitivity, specificity, positive predictive value, and percent agreement. We used logistic regression to identify predictors of underreporting and overreporting of a race/ethnicity. Use of the Spanish surname list increased the sensitivity of RCA for Latino ethnicity from 37% to 83%. Sensitivity for cancer registry records collected by routine reporting was ≥95% for whites, blacks, and Asians, and specificity was high for all groups (86%-100%). However, patterns of misclassification by race/ethnicity were found that could lead to biased cancer statistics for specific race/ethnicities. Discordance between self-reported and registry-reported race/ethnicity was more likely for women, Latinos, and Asians. Methods to improve race and ethnicity data, such as using Spanish surnames in RCA and instituting data collection guidelines for hospitals, are needed to ensure minorities are accurately represented in clinical and epidemiological research.

“Can You Spare an Organ?”: Exploring Hispanic Americans' Willingness to Discuss Living Organ Donation With Loved Ones

Living organ donation offers a means of overcoming the shortage of viable organs available for transplant: a shortage particularly problematic among Hispanics. One barrier standing between those in need of a kidney and a successful transplant operation is an inability, and often lack of desire, to talk to loved ones about the need for a living donation. With an eye on future intervention approaches, and guided in part by the theory of planned behavior, this research effort sought to explore the factors associated with a willingness to engage in a conversation about a living donation with loved ones. Study 1, a phone survey of Hispanic Americans drawn from a Hispanic surname list, reveals that while upward of 90% of respondents would be willing to offer a kidney to a family member in need, and a similar percentage would be willing to accept a living donation if offered, only about half of respondents would feel comfortable initiating a conversation with family members if the respondent was in need of a living donation. Study 2, a survey of Hispanic American patients currently in need of a living kidney donation, revealed that perceived behavioral control accounted for 60% of the variance in future intentions to initiate a conversation among those who have yet to speak to a family member about becoming a living donor. Moreover, perceived behavioral control mediated the relationship between perceived asking appropriateness and future intentions to initiate a conversation. Lastly, recipient outcome expectations, asking appropriateness, and subjective norms were revealed to be predictive of perceived behavioral control. Implications for future living donor interventions focusing on increasing recipient-initiated conversations are discussed.

Who Prepares for Terrorism?

The National Survey of Disaster Experiences and Preparedness (NSDEP) examined whether households in the United States have engaged in proactive preparedness and avoidance activities since September 11, 2001, and whether the activities reported were done because of terrorism, natural disasters, other reasons, or any combination of reasons. Reported activities were examined by geographic area of exposure to or threat of 9/11, gender, race/ethnic identification, and income. The sample was drawn using random-digit-dialing (RDD) supplemented with surname lists. Data were collected between April 13, 2007, and February 13, 2008. Few households did preparedness and avoidance activities exclusively because of concerns about terrorism. Rather decisions were motivated by a combination of reasons. Residents of New York City and Washington, DC, men, and high-income respondents reported more preparedness activities, whereas low-income respondents, African Americans, and Hispanics reported more avoidance activities.

Surname lists to identify South Asian and Chinese ethnicity from secondary data in Ontario, Canada: a validation study

BackgroundSurname lists are useful for identifying cohorts of ethnic minority patients from secondary data sources. This study sought to develop and validate lists to identify people of South Asian and Chinese origin.MethodsComprehensive lists of South Asian and Chinese surnames were reviewed to identify those that uniquely belonged to the ethnic minority group. Surnames that were common in other populations, communities or ethnic groups were specifically excluded. These surname lists were applied to the Registered Persons Database, a registry of the health card numbers assigned to all residents of the Canadian province of Ontario, so that all residents were assigned to South Asian ethnicity, Chinese ethnicity or the General Population. Ethnic assignment was validated against self-identified ethnicity through linkage with responses to the Canadian Community Health Survey.ResultsThe final surname lists included 9,950 South Asian surnames and 1,133 Chinese surnames. All 16,688,384 current and former residents of Ontario were assigned to South Asian ethnicity, Chinese ethnicity or the General Population based on their surnames. Among 69,859 respondents to the Canadian Community Health Survey, both lists performed extremely well when compared against self-identified ethnicity: positive predictive value was 89.3% for the South Asian list, and 91.9% for the Chinese list. Because surnames shared with other ethnic groups were deliberately excluded from the lists, sensitivity was lower (50.4% and 80.2%, respectively).ConclusionsThese surname lists can be used to identify cohorts of people with South Asian and Chinese origins from secondary data sources with a high degree of accuracy. These cohorts could then be used in epidemiologic and health service research studies of populations with South Asian and Chinese origins.

Trends in oropharyngeal and oral cavity cancer incidence of human papillomavirus (HPV)‐related and HPV‐unrelated sites in a multicultural population

There is a growing recognition of the involvement of human papilloma virus infection in the etiology of head and neck cancers at some sites, mainly the base of the tongue, tonsils, and other oropharynx (hereafter termed oropharyngeal cancer). Other oral sites (hereafter termed oral cavity cancer [OCC]) show a stronger association with tobacco and alcohol. Little is known about the ethnic variation in incidence for these cancers. This study determined incidence rates of OCC and oropharyngeal cancer among South Asian, Chinese, and the general population in British Columbia, Canada. Patients with OCC and oropharyngeal cancer diagnosed from 1980 to 2006 were identified through the British Columbia cancer registry, and surname lists were used to establish ethnicity. Age-adjusted incidence rates were determined for these cancers by sex, topographical site, and ethnicity, and temporal trends were examined. Age-adjusted incidence rates have been decreasing for OCC and increasing for oropharyngeal cancer in the general population for both sexes, with men having higher incidence rates than women. Ethnic differences were found, with the highest age-adjusted incidence rates for OCC for men in South Asians and for women in Chinese, and with the highest age-adjusted incidence rates for oropharyngeal cancer for men in Chinese and for women in the general population. Differences were also found for OCC topographical sites by sex and ethnicity. The incidence of oropharyngeal cancer has now surpassed OCC in the British Columbia male population. Ethnic minorities are at higher risk than the general population for both OCC and oropharyngeal cancer for men, and for OCC for women.

Erratum to: Using the Census Bureau’s surname list to improve estimates of race/ethnicity and associated disparities

Commercial health plans need member racial/ethnic information to address disparities, but often lack it. We incorporate the U.S. Census Bureau’s latest surname list into a previous Bayesian method that integrates surname and geocoded information to better impute self-reported race/ethnicity. We validate this approach with data from 1,921,133 enrollees of a national health plan. Overall, the new approach correlated highly with self-reported race-ethnicity (0.76), which is 19% more efficient than its predecessor (and 41% and 108% more efficient than single-source surname and address methods, respectively, P < 0.05 for all). The new approach has an overall concordance statistic (area under the Receiver Operating Curve or ROC) of 0.93. The largest improvements were in areas where prior performance was weakest (for Blacks and Asians). The new Census surname list accounts for about three-fourths of the variance explained in the new estimates. Imputing Native American and multiracial identities from surname and residence remains challenging.