Historical Mortality Dynamics on the Baja California Peninsula : Marriage, Mining Booms, Migration, and Infectious Disease.

Historical demographic research shows that the factors influencing mortality risk are labile across time and space. This is particularly true for datasets that span societal transitions. Here, we seek to understand how marriage, migration, and the local economy influenced mortality dynamics in a rapidly changing environment characterized by high in-migration and male-biased sex ratios. Mortality records were extracted from a compendium of historical vital records for the Baja California peninsula (Mexico). Our sample consists of 1,201 mortality records spanning AD 1835-1900. Findings from Cox proportional hazard models indicate that (1) marriage was associated with a protective effect for both sexes; (2) residing in a mining town was associated with higher mortality for men, but not women; (3) migration was associated with decreased mortality risk for women, but not men; and (4) the risk of mortality increased in the face of infectious disease, but decreased over time. Despite the early initiation of reproduction for women, marriage had a protective effect, likely because marriage linked women to resources. Although mining boomtowns were associated with elevated risk factors generally, only men experienced greater mortality risk, likely due to dangerous working conditions that women did not experience. Last, female, but not male, migrants experienced greater longevity, possibly because exposure to harsh labor conditions eroded the protective effect of selection bias for men. Together, these results shed light on an understudied historical population and broaden our understanding of demographic dynamics in preindustrial settings.

The Creation of LIFE-M: The Longitudinal, Intergenerational Family Electronic Micro-Database Project.

This paper describes the creation of the Longitudinal, Intergenerational Family Electronic Micro-Database (LIFE-M), a new data resource linking vital records and decennial censuses for millions of individuals and families living in the late 19th and 20th centuries in the United States. This combination of records provides a life-course and intergenerational perspective on the evolution of health and economic outcomes. Vital records also enable the linkage of women, because they contain a crosswalk between women's birth (i.e., "maiden") and married names. We describe (1) the data sources, coverage, and linking sequence; (2) the process and supervised machine-learning methods to linking records longitudinally and across generations; and (3) the resulting linked samples, including linking rates, representativeness, and weights.

Morbidity and rehospitalization postpartum among women with epilepsy and their infants: A population-based study.

OBJECTIVE: We compared the relative occurrence of selected pregnancy outcomes and postpartum rehospitalizations among women with and without epilepsy and their infants. Using linked vital-hospital discharge records of women with deliveries in Washington State 1987-2014, comparisons were made overall, by epilepsy type, and by time periods related to antiepileptic drug (AED) marketing changes. METHODS: This population-based retrospective cohort study identified women with, and without epilepsy per diagnosis codes in the hospital discharge record from among all deliveries during 1987-2014 to examine maternal and infant outcomes, rehospitalization and mortality <2 years postpartum. Relative risks (RRs) and 95 % confidence intervals (CI) overall, and by epilepsy type were calculated using Poisson regression. We assessed the validity of epilepsy identification based on diagnosis codes by conducting a medical chart review for a sample of women. RESULTS: Women with epilepsy had increased risks of preeclampsia (RR 1.23; 95 % CI 1.08-1.41) and gestational diabetes (RR 1.18; 95 % CI 1.02-1.36). Their infants had increased malformation (RR 1.23; 95 % C: 1.08-1.42) and small for gestational age (SGA, RR 1.39; 95 % CI 1.25-1.54) risks, and were nearly three times as likely to not be breastfed. Affected mothers (RR 5.25; 95 % CI 2.46-11.23) and their infants (RR 1.64, 95 % CI 1.41-1.89) required more ICU admissions during the delivery hospitalizations, and more postpartum rehospitalization, with greatest risk in the first six months. Maternal mortality < 2 years after delivery was increased (RR 7.11; 95 % CI 2.47-20.49). Increased risks were observed for all epilepsy subtypes for nearly all outcomes examined. Risks of preterm delivery and low birthweight increased over time (p <.05). Suggestive, but not statistically significant temporal decreases in risks of gestational diabetes and malformations and increased risk of preterm labor were noted. We observed high sensitivity of diagnosis codes for identifying pregnant women with epilepsy. CONCLUSION: These population-based results emphasize the need for frequent postpartum monitoring of women with epilepsy. Increases in risks of low birthweight and preterm delivery over time are of concern. Possible temporal changes in other outcomes warrant further investigation.

Highly public anti-Black violence and preterm birth odds for Black and White mothers.

Highly public anti-Black violence may increase preterm birth in the general population of pregnant women via stress-mediated paths, particularly Black women exposed in early gestation. To examine spillover from racial violence in the US, we included a total of 49 high publicity incidents of the following types: police lethal force toward Black persons, legal decisions not to indict/convict officers involved, and hate crime murders of Black victims. National search interest in these incidents was measured via Google Trends to proxy for public awareness of racial violence. Timing of racial violence was coded in relation to a three-month preconception period and subsequent pregnancy trimesters, with the primary hypothesis being that first trimester exposure is associated with higher preterm birth odds. The national sample included 1.6 million singleton live births to US-born Black mothers and 6.6 million births to US-born White mothers from 2014 to 2017. Using a preregistered analysis plan, findings show that Black mothers had 5% higher preterm birth odds when exposed to any high publicity racial incidents relative to none in their first trimester, and 2-3% higher preterm birth odds with each log10 increase in national interest. However, post hoc sensitivity tests that included month fixed effects attenuated these associations to null. For White mothers, associations were smaller but of a similar pattern, and were attenuated when including month fixed effects. Highly public anti-Black violence may act as a national stressor, yet whether racial violence is associated with reproductive outcomes in the population is unknown and merits further research.

How good are medical and death records for identifying dementia?

INTRODUCTION: Retrospective studies using administrative data may be an efficient way to assess risk factors for dementia if diagnostic accuracy is known. METHODS: Within-individual clinical diagnoses of Alzheimer's disease (AD) and all-cause dementia in ambulatory (outpatient) surgery, inpatient, Medicare administrative records and death certificates were compared with research diagnoses among participants of Cache County Study on Memory, Health, and Aging (CCSMHA) (1995-2008, N = 5092). RESULTS: Combining all sources of clinical health data increased sensitivity for identifying all-cause dementia (71%) and AD (48%), while maintaining relatively high specificity (81% and 93%, respectively). Medicare claims had the highest sensitivity for case identification (57% and 40%, respectively). DISCUSSION: Administrative health data may provide a less accurate method than a research evaluation for identifying individuals with dementing disease, but accuracy is improved by combining health data sources. Assessing all-cause dementia versus a specific cause of dementia such as AD will result in increased sensitivity, but at a cost to specificity.

Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction Hypotension.

Hypotensive events in the initial stage of anesthesia can cause serious complications in the patients after surgery, which could be fatal. In this study, we intended to predict hypotension after tracheal intubation using machine learning and deep learning techniques after intubation one minute in advance. Meta learning models, such as random forest, extreme gradient boosting (Xgboost), and deep learning models, especially the convolutional neural network (CNN) model and the deep neural network (DNN), were trained to predict hypotension occurring between tracheal intubation and incision, using data from four minutes to one minute before tracheal intubation. Vital records and electronic health records (EHR) for 282 of 319 patients who underwent laparoscopic cholecystectomy from October 2018 to July 2019 were collected. Among the 282 patients, 151 developed post-induction hypotension. Our experiments had two scenarios: using raw vital records and feature engineering on vital records. The experiments on raw data showed that CNN had the best accuracy of 72.63%, followed by random forest (70.32%) and Xgboost (64.6%). The experiments on feature engineering showed that random forest combined with feature selection had the best accuracy of 74.89%, while CNN had a lower accuracy of 68.95% than that of the experiment on raw data. Our study is an extension of previous studies to detect hypotension before intubation with a one-minute advance. To improve accuracy, we built a model using state-of-art algorithms. We found that CNN had a good performance, but that random forest had a better performance when combined with feature selection. In addition, we found that the examination period (data period) is also important.

Overview and Development of the Child Health and Mortality Prevention Surveillance Determination of Cause of Death (DeCoDe) Process and DeCoDe Diagnosis Standards.

Mortality surveillance and cause of death data are instrumental in improving health, identifying diseases and conditions that cause a high burden of preventable deaths, and allocating resources to prevent these deaths. The Child Health and Mortality Prevention Surveillance (CHAMPS) network uses a standardized process to define, assign, and code causes of stillbirth and child death (<5 years of age) across the CHAMPS network. A Determination of Cause of Death (DeCoDe) panel composed of experts from a local CHAMPS site analyzes all available individual information, including laboratory, histopathology, abstracted clinical records, and verbal autopsy findings for each case and, if applicable, also for the mother. Using this information, the site panel ascertains the underlying cause (event that precipitated the fatal sequence of events) and other antecedent, immediate, and maternal causes of death in accordance with the International Classification of Diseases, Tenth Revision and the World Health Organization death certificate. Development and use of the CHAMPS diagnosis standards-a framework of required evidence to support cause of death determination-assures a homogenized procedure leading to a more consistent interpretation of complex data across the CHAMPS network. This and other standardizations ensures future comparability with other sources of mortality data produced externally to this project. Early lessons learned from implementation of DeCoDe in 5 CHAMPS sites in sub-Saharan Africa and Bangladesh have been incorporated into the DeCoDe process, and the implementation of DeCoDe has the potential to spur health systems improvements and local public health action.

Evaluation of Oklahoma's Electronic Death Registration System and Event Fatality Markers for Disaster-Related Mortality Surveillance - Oklahoma USA, May 2013.

INTRODUCTION: Official counts of deaths attributed to disasters are often under-reported, thus adversely affecting public health messaging designed to prevent further mortality. During the Oklahoma (USA) May 2013 tornadoes, Oklahoma State Health Department Division of Vital Records (VR; Oklahoma City, Oklahoma USA) piloted a flagging procedure to track tornado-attributed deaths within its Electronic Death Registration System (EDRS). To determine if the EDRS was capturing all tornado-attributed deaths, the Centers for Disease Control and Prevention (CDC; Atlanta, Georgia USA) evaluated three event fatality markers (EFM), which are used to collate information about deaths for immediate response and retrospective research efforts. METHODS: Oklahoma identified 48 tornado-attributed deaths through a retrospective review of hospital morbidity and mortality records. The Centers for Disease Control and Prevention (CDC; Atlanta, Georgia USA) analyzed the sensitivity, timeliness, and validity for three EFMs, which included: (1) a tornado-specific flag on the death record; (2) a tornado-related term in the death certificate; and (3) X37, the International Classification of Diseases, 10th Revision (ICD-10) code in the death record for Victim of a Cataclysmic Storm, which includes tornadoes. RESULTS: The flag was the most sensitive EFM (89.6%; 43/48), followed by the tornado term (75.0%; 36/48), and the X37 code (56.2%; 27/48). The most-timely EFM was the flag, which took 2.0 median days to report (range 0-10 days), followed by the tornado term (median 3.5 days; range 1-21), and the X37 code (median >10 days; range 2-122). Over one-half (52.1%; 25/48) of the tornado-attributed deaths were missing at least one EFM. Twenty-six percent (11/43) of flagged records had no tornado term, and 44.1% (19/43) had no X37 code. Eleven percent (4/36) of records with a tornado term did not have a flag. CONCLUSION: The tornado-specific flag was the most sensitive and timely EFM. Using the flag to collate death records and identify additional deaths without the tornado term and X37 code may improve immediate response and retrospective investigations. Moreover, each of the EFMs can serve as quality controls for the others to maximize capture of all disaster-attributed deaths from vital statistics records in the EDRS.Issa AN, Baker K, Pate D, Law R, Bayleyegn T, Noe RS. Evaluation of Oklahoma's Electronic Death Registration System and event fatality markers for disaster-related mortality surveillance - Oklahoma USA, May 2013. Prehosp Disaster Med. 2019;34(2):125-131.

Checking the pregnancy checkbox: Evaluation of a four-state quality assurance pilot.

BACKGROUND: The 2003 revision of the standard United States death certificate included a set of "pregnancy checkboxes" to ascertain whether a woman was pregnant at the time of her death or within the preceding year. Studies validating the pregnancy checkbox have indicated a potentially high number of errors, resulting in inflated maternal mortality rates. In response to concerns about pregnancy checkbox data quality, four state health departments implemented a quality assurance pilot project examining the accuracy of the pregnancy checkbox for 2016 deaths. METHODS: State staff conducted searches for birth or fetal death reports that matched a death certificate, within a year of death. If a pregnancy checkbox was marked, but no match was found between certificates, confirmation of the pregnancy was attempted through active follow-up with the death certifier. From December 2017 to January 2018, the quality assurance pilot was evaluated through three focus groups with key stakeholders. The evaluation aimed to describe opportunities and challenges to implementation, sustainability, and lessons learned. RESULTS: Opportunities for implementing the pilot included written documentation of the quality assurance process, improved certifier response, improved data quality, and increased data timeliness for Maternal Mortality Review Committees. Challenges included initial delays in certifier response, staff turnover, high caseloads in relation to resources, and lack of pilot prioritization in the health department. All four pilot states plan to sustain the pregnancy checkbox quality assurance process in some capacity. CONCLUSIONS: Implementing quality assurance processes for the pregnancy checkbox may ultimately improve state and national maternal death data quality.

Pregnancy course, infant outcomes, rehospitalization, and mortality among women with intellectual disability.

BACKGROUND: Pregnant women with intellectual disability (ID) may have greater levels of comorbidity and decreased care access, social support, or ability to monitor their status and communicate needs, but few studies have examined their pregnancy course and outcome, and little is known about their longer-term maternal and infant health. OBJECTIVE: We compared pre-pregnancy characteristics, pregnancy outcomes, and rehospitalization <2 years after delivery among women with and without ID. METHOD: We identified all women with ID and randomly selected a 10:1 comparison group of women without ID with singleton live birth deliveries in Washington State population-based linked birth-hospital discharge data 1987-2012. Multivariable regressions estimated adjusted odds ratios comparing pre-pregnancy characteristics. In cohort analyses, we estimated relative risks (RR) and 95% confidence intervals (CI) for outcomes. RESULTS: Women with ID (N = 103) more often had gestational diabetes (RR 3.39, 95% CI 1.81-6.37), preeclampsia (RR 1.88, 95% CI 1.03-3.42), and inadequate prenatal care (RR 2.48, 95% CI 1.67-3.70). Their infants more often were small for gestational age (RR 1.78, 95% CI 1.10-2.89). Need for rehospitalization postpartum was not increased among women with ID or their infants. CONCLUSION: Reasons for increased preeclampsia and gestational diabetes among pregnant women with ID are unclear. Barriers to inadequate prenatal care are multifactorial and warrant further study, with consideration that wellness during pregnancy and other times involves social, familial and clinical support systems responsive to each woman's needs.

Quality of death counts and adult mortality registration in Suriname and its main regions / Qualidade dos registros de óbitos e estimativas de mortalidade adulta no Suriname e regiões / Calidad de los recuentos de registros de muerte y mortadlidad adulta en Surinam y sus principales regiones

Suriname statistical office assumes that mortality data in the country is of good quality and does not perform any test before producing life table estimates. However, lack of data quality is a concern in the less developed areas of the world. The primary objective of this article is to evaluate the quality of death counts registration in the country and its main regions from 2004 to 2012 and to produce estimates of adult mortality by sex. We use data from population, by age and sex, from the last censuses and death counts from the Statistical office. We use traditional demographic methods to perform the analysis. We find that the quality of the death count registration in Suriname and its central regions is reasonably good. We also find that population data can be considered good. The results reveal a small difference in the completeness for males and females and that for the sub-national population the choice of method has implication on the results. To sum up, data quality in Suriname is better than in most countries in the region, but there are considerable regional differences as observed in other locations.

O Instituto de Estatística do Suriname assume que os dados de mortalidade no país são de boa qualidade e não realiza nenhum teste antes de produzir estimativas da tabela de vida. No entanto, a falta de qualidade dos dados é uma preocupação nas áreas menos desenvolvidas do mundo. O objetivo principal deste artigo é avaliar a qualidade do registro de óbitos no país e suas principais regiões, entre 2004 e 2012, e produzir estimativas de mortalidade adulta por sexo. Utilizamos dados populacionais, por idade e sexo, dos últimos censos e contagem de mortes do Centro Nacional de Estatística. Para realizar a análise, foram empregados métodos demográficos tradicionais. Concluímos que a qualidade do registro de óbitos no Suriname e em suas regiões centrais é razoável. Também mostramos que os dados de registro da população podem ser considerados bons. Os resultados revelam uma pequena diferença no grau de cobertura do registro de óbitos para homens e mulheres e que, para as regiões, a escolha do método tem implicações nos resultados. Em suma, a qualidade dos dados no Suriname é melhor do que na maioria dos países da região, mas há diferenças regionais consideráveis, como observado em outros lugares.

La oficina de estadísticas de Surinam supone que los datos de mortalidad en el país son de buena calidad y no hace ninguna prueba antes de producir estimaciones de la tabla de vida. Sin embargo, la falta de calidad de datos es una preocupación en las zonas menos desarrolladas del mundo. El objetivo principal de este artículo es evaluar la calidad del registro de recuentos de defunciones en el país y sus principales regiones entre 2004 y 2012 y producir estimaciones de mortalidad de adultos por sexo. Utilizamos datos de la población, por edad y sexo, de los últimos censos y recuentos de muertes de la oficina de Estadística. Utilizamos métodos demográficos tradicionales para realizar el análisis. Encontramos que la calidad del registro del recuento de defunciones en Surinam y sus regiones centrales es de razonable a buena. Asimismo, hallamos que los datos de población pueden considerarse también buenos. Los resultados revelan una pequeña diferencia en la integridad para hombres y mujeres y que para la población subnacional la elección del método tiene implicaciones en los resultados. En resumen, la calidad de los datos en Surinam es mejor que la de la mayoría de los países de la región, pero existen diferencias regionales considerables, como también se observa en otros lugares.

Accuracy of birth certificate head circumference measurements: Massachusetts, 2012-2013.

BACKGROUND: Zika virus has recently emerged as a novel cause of microcephaly. CDC has asked states to rapidly ascertain and report cases of Zika-linked birth defects, including microcephaly. Massachusetts added head circumference to its birth certificate (BC) in 2011. The accuracy of head circumference measurements from state vital records data has not been reported. METHODS: We sought to assess the accuracy of Massachusetts BC head circumference measurements by comparing them to measurements for 2,217 infants born during 2012-2013 captured in the Massachusetts Birth Defects Monitoring Program (BDMP) data system. BDMP contains information abstracted directly from infant medical records and served as the true head circumference value (i.e., gold standard) for analysis. We calculated the proportion of head circumference measurements in agreement between the BC and BDMP data. We assigned growth chart head circumference percentile categories to each BC and BDMP measurement, and calculated the sensitivity and specificity of BC-based categories to predict BDMP-based categories. RESULTS: No difference was found in head circumference measurements between the two sources in 77.9% (n = 1,727) of study infants. The sensitivity of BC-based head circumference percentile categories ranged from 85.6% (<3rd percentile) to 92.7% (≥90th percentile) and the specificity ranged from 97.6% (≥90th percentile) to 99.3% (<3rd percentile). CONCLUSIONS: BC head circumference measurements agreed with those abstracted from the medical chart the majority of the time. Head circumference measurements on the BC were more specific than sensitive across all standardized growth chart percentile categories.

Public Health Data in Action: An Analysis of Using Louisiana Vital Statistics for Quality Improvement and Payment Reform.

Introduction In 2012, the Louisiana (LA) Department of Health and Hospitals revised the LA birth certificate to include medical reasons for births before 39 completed weeks' gestation. We compared the completeness and validity of these data with hospital discharge records. Methods For births occurring 4/1/2012-9/30/2012 at Woman's Hospital of Baton Rouge, we linked maternal delivery and newborn birth data collected through the National Perinatal Information Center with LA birth certificates. Among early term births (37-38 completed weeks' gestation), we quantified the reasons for early delivery listed on the birth certificate and compared them with ICD-9-CM codes from Woman's discharge data. Results Among 4353 birth certificates indicating delivery at Woman's Hospital, we matched 99.8% to corresponding Woman's administrative data. Among 1293 early term singleton births, the most common reasons for early delivery listed on the birth certificate were spontaneous active labor (57.5%), gestational hypertensive disorders (15.3%), gestational diabetes (8.7%), and premature rupture of membranes (8.1%). Only 2.7% of births indicated "other reason" as the only reason for early delivery. Most reasons for early delivery had >80% correspondence with ICD-9-CM codes. Lower correspondence (35 and 72%, respectively) was observed for premature rupture of membranes and abnormal heart rate or fetal distress. Discussion There was near-perfect ability to match LA birth certificates with Woman's Hospital records, and the agreement between reasons for early delivery on the birth certificate and ICD-9-CM codes was high. A benchmark of 2.7% can be used as an attainable frequency of "other reason" for early delivery reported by hospitals. Louisiana implemented an effective mechanism to identify and explain early deliveries using vital records.

Infant Mortality, Cause of Death, and Vital Records Reporting in Ohio, United States.

Introduction Infant mortality rate is a sensitive metric for population health and well-being. Challenges in achieving accurate reporting of these data can lead to inaccurate targeting of public health interventions. We analyzed a cohort from a pediatric tertiary care referral medical center to evaluate concordance between autopsy cause of death (COD) and death certificate documentation for infants <1 year of age. We predicted that infant COD as documented through vital records would not correspond to that as determined by autopsy. Methods We conducted a retrospective review comparing causes of infant death reported through Ohio Department of Health documents to those on Cincinnati Children's Hospital Medical Center autopsy reports over an 8-year period from January 1, 2006 through December 31, 2013. Results We analyzed 276 total cases of which 167 (61.5 %) represented infants born preterm. Autopsy reports identified 55 % of cases had a congenital anomaly. Additionally, 34 % of all cases had primary or contributing COD related to infection and 14.5 % of all cases indicated chorioamnionitis. We identified 156 (56.5 %) death certificates discordant with autopsy COD of which 52 (33.3 %) involved infection and 24 (15.4 %) involved congenital anomalies. Discussion There are opportunities to improve COD reporting through training for providers, and improvement of established state certification systems. Future strategies to reduce infant mortality will be better informed through enhancements in vital records COD reporting.

Invited Commentary: Preventable Pregnancy Loss Is a Public Health Problem.

Pregnancy loss is common and can lead to long-standing parental depression and related problems. In this issue, a study of Danish registries by Bruckner et al. (Am J Epidemiol. 2016;183(8):701-708) correlates monthly trends in unemployment with monthly trends in reported spontaneous abortion, lagged by 1 month. The observed association might be caused by a general population phenomenon, as suggested by the authors, or might represent an increased miscarriage risk only within the subset of the population that is directly affected by lost income. Preventive interventions will vary depending on which interpretation is more likely. Research into the preventability of miscarriages and stillbirths is hampered in the United States by poor-quality vital registration of these events. Investment in improved surveillance systems is needed and would be worthwhile, as illustrated by the knowledge gained about the black/white gap in infant mortality when national birth and infant death records began to be linked. In addition, institution of the Pregnancy Risk Assessment Monitoring System in 1987 shed light on the association of stressful life events with poor birth outcomes. That system can be improved by sampling women who have experienced stillbirths. Better data would facilitate not only surveillance but also hypothesis-generating epidemiologic studies for identifying preventable pregnancy loss.

Circumstances and contributing causes of fall deaths among persons aged 65 and older: United States, 2010.

OBJECTIVES: To determine whether the increasing fall death rate among people aged 65 and older is due in part to temporal changes in recording the underlying cause of death. DESIGN: Analyses of multiple cause of death data using the online Centers for Disease Control and Prevention Wide-ranging ON-line Data for Epidemiologic Research system, which uses the National Center for Health Statistics' Multiple Cause of Death data set. SETTING: United States, 1999 to 2010. PARTICIPANTS: People aged 65 and older with a fall listed on their death record as the underlying or a contributing cause of death. MEASUREMENTS: Circumstances and contributing causes off all deaths--records listing International Classification of Diseases, Tenth Revision, codes W00 to W19 as the underlying cause of death--and underlying causes for records with falls as a contributing cause were examined. Joinpoint regression analysis was used to assess trends in the proportion of fall and fall-associated deaths to total deaths for 1999 to 2010. RESULTS: In 2010, there were 21,649 fall deaths and 5,402 fall-associated deaths among people aged 65 and older; 48.7% of fall deaths involved a head injury. Approximately half the fall death records included diseases of the circulatory system as contributing causes. From 1999 to 2010, there was a trend toward more-specific reporting of falls circumstances, although total deaths remained unchanged. The proportion of fall deaths to total deaths increased 114.3%, and that of fall-associated deaths to total deaths increased 43.1%. CONCLUSION: The reasons behind the increasing older adult fall death rate deserve further investigation. Possible contributing factors include changing trends in underlying chronic diseases and better reporting of falls as the underlying cause of death.

Proportional mortality ratios among Korean immigrants to New York City, 1986-1990

BACKGROUND: About 13,000 people immigrated to New York City from the Republic of Korea between 1986 and 1990, creating an important ethnic minority. METHODS: Using US-born Whites as a reference, age-adjusted proportional mortality ratios were computed for 314 men and 248 women of Korean ancestry born abroad who died in New York City in 1986-90. RESULTS: Males had a significant excess of viral hepatitis, cancer, stroke, and external causes: accidents, suicide, and homicide. They had significantly reduced proportional rates of AIDS and heart disease. Mortality patterns were similar for Korean women, who had significantly increased proportional rates of stroke and accidents, and reduced heart disease. Stomach and liver cancers were significantly elevated in both sexes, while female breast cancer was low. There were two male and one female tuberculosis deaths (4 to 7 fold increase), and one Korean woman died of childbirth complications (59-fold increase). CONCLUSIONS: Except for violent deaths, these observations resemble known mortality patterns in Korea.