Comparability of Mortality Estimates from Social Surveys and Vital Statistics Data in the United States

Brown, Dustin; Lariscy, Joseph T.; Kalousová, Lucie

doi:10.1007/s11113-018-9505-1

Cited by 23 publications

(14 citation statements)

References 32 publications

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“…The NHIS-LMF estimates are about one year higher than the vital statistics-based estimates among both women and men. This finding resembles other research showing that life expectancy tends to be about one year higher in survey-linked mortality files relative to vital statistics data due in part to survey-linked mortality files excluding the institutionalized population (Brown et al 2019). Despite the one-year difference, the ordering by race/ethnicity is the same between the vital statistics-based life tables and NHIS-LMF life tables, with Hispanics exhibiting the highest life expectancy, followed by NH whites, NH blacks, and Native Americans (NCHS researchers have not produced life tables for the Asian population).…”

Section: Examples Of Applicationsupporting

confidence: 87%

Racial and Ethnic Disparities in Health

Lariscy

Tasmim

Collins

2019

Encyclopedia of Gerontology and Population Aging

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Racial and ethnic disparities in health stem from the historical legacy and continued patterns of unequal resources and treatment on the basis of race/ethnicity in society (Hummer and Hamilton 2019; Williams and Sternthal 2010). Health disparities encompass differences in physical health, mental health, all-cause and cause-specific mortality risk, activity limitations, healthcare access and utilization, and other metrics of well-being. The existing literature on racial and ethnic disparities in health in the United States mainly considers health patterns among the five major racial/ethnic groups: Hispanics, non-Hispanic (NH) blacks, NH whites, Asians and Pacific Islanders (hereafter Asians), and Native Americans. These categories may not adequately capture the racial/ethnic identity of all Americans, especially the multiracial population. Further, diversity exists within these groups in terms of socioeconomic attainment, country of birth, and several other socioeconomic, geographic, and cultural dimensions. However, these racial/ethnic categories are the options respondents must select from on most national health surveys and vital records, as mandated by the 1997 revision to Directive No. 15 from the US Office of Management and Budget (OMB 1997). Overview Racial/ethnic health disparities among the Hispanic, NH black, and NH white populations (the three largest racial/ethnic groups in the United States) have received the most attention to date. Less research is available on the health among Asians, Native Americans, and multiracial individuals, due in part to their smaller proportions of the US population and small samples in national health surveys. In general, Asians and NH whites tend to have the most favorable health and NH blacks and Native Americans tend to have the least favorable health. Hispanics exhibit

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Section: Examples Of Applicationsupporting

confidence: 87%

Racial and Ethnic Disparities in Health

Lariscy

Tasmim

Collins

2019

Encyclopedia of Gerontology and Population Aging

Self Cite

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“…To quantify the extent to which differences in socioeconomic status (SES) can explain mortality differences between groups, such as between Black and White Americans (Williams and Collins, 1995;Geruso, 2012), the scientific literature has relied on standardization and decomposition techniques. These analyses are made possible in HICs by complete vital registration and multiple large surveys that reliably measure mortality, race, and SES (Elo, 2009;Warren et al, 2017;Brown, Lariscy and Kalousová, 2019). In many LMICs, however, decomposing life expectancy differences between groups is constrained by the sparseness of data on all-cause mortality linked with social conditions (Clark, 2019;Saikia and Kulkarni, 2016).…”

mentioning

confidence: 99%

Social disadvantage, economic inequality, and life expectancy in nine Indian states

Vyas¹,

Hathi²,

Gupta³

2021

Preprint

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An extensive literature documents the contributions of discrimination and social exclusion to health disparities. This study investigates life expectancy differentials along lines of caste, religion, and indigenous identity in India, home to some of the largest populations of marginalized social groups in the world. Using a large, high-quality survey that measured mortality, social group, and economic status, we are the first to estimate and decompose life expectancy differences between higher-caste Hindus and three of India's most disadvantaged social groups: Adivasis, Dalits, and Muslims. Relative to higher-caste Hindus, Adivasi life expectancy is more than four years lower, Dalit life expectancy is more than three years lower, and Muslim life expectancy is about one year lower. Economic status explains less than half of these gaps. The differences between the life expectancy of higher-caste Hindus and the life expectancies of Adivasis and Dalits are comparable to the Black-White gap in the US in absolute magnitude. The differences are larger in relative terms because overall life expectancy in India is lower. Our findings extend the literature on fundamental causes of global health disparities. Methodologically, we contribute to the literature on mortality estimation and demographic decomposition using survey data from low- and middle-income contexts.

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“…The NDI is highly promising for criminologists in several respects. Linking official or survey records to electronic health databases can produce valuable resources for studying public health and safety issues (Brown et al, 2019; Jutte et al, 2011). Future projects could link the NDI with, say, political extremist/terrorism databases (e.g., Extremist Crime Database, Global Terrorism Database), prison/jail records, police contacts or crime witnesses, nonfatal victimization databases (e.g., National Crime Victimization Survey), and other local or statewide gang member databases.…”

Section: Discussionmentioning

confidence: 99%

“…The NVDRS links information from multiple sources, including death certificates and law enforcement, coroner/medical examiner, and toxicology reports. Data linkage has provided valuable scientific advances in the fields of epidemiology and demography (Brown et al, 2019; Jutte et al, 2011), such as the ability to examine the association between long-term health behaviors, social and economic circumstances, and mortality outcomes. Linking government and survey records to electronic health databases can be an invaluable and promising resource for studying preventable mortality among populations of criminological interest.…”

Section: Sources Of Us Homicide Victimization Data: a Look At The Lmentioning

confidence: 99%

The National Death Index as a Source of Homicide Data: A Methodological Exposition of Promises and Pitfalls for Criminologists

et al. 2020

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Criminologists largely rely on national deidentified data sources to study homicide in the United States. The National Death Index (NDI), a comprehensive and well-established database compiled by the National Center for Health Statistics, is an untapped source of homicide data that offers identifiable linkages to other data sources while retaining national coverage. This study’s five aims follow. First, we review the data sources in articles published in Homicide Studies over the past decade. Second, we describe the NDI, including its origins, procedures, and uses. Third, we outline the procedures for linking a police gang intelligence database to the NDI. Fourth, we introduce the St. Louis Gang Member-Linked Mortality Files database, which is composed of 3,120 police-identified male gang members in the St. Louis area linked to NDI records. Finally, we report on preliminary cause-of-death findings. We conclude by outlining the benefits and drawbacks of the NDI as a source of homicide data for criminologists.

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Comparability of Mortality Estimates from Social Surveys and Vital Statistics Data in the United States

Cited by 23 publications

References 32 publications

Racial and Ethnic Disparities in Health

Racial and Ethnic Disparities in Health

Social disadvantage, economic inequality, and life expectancy in nine Indian states

The National Death Index as a Source of Homicide Data: A Methodological Exposition of Promises and Pitfalls for Criminologists

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