Immigration and Neighborhood Change: Methodological Possibilities for Future Research

2017 ◽  
Vol 16 (3) ◽  
pp. 244-251 ◽  
Author(s):  
Ariela Schachter ◽  
Max Besbris
Keyword(s):  
United States ◽  
Rental Housing ◽  
The United States ◽  
Neighborhood Change ◽  
Future Research ◽  
Online Data ◽  
Race Ethnicity ◽  
The Impact ◽  
Housing Options ◽  
Racial Ethnic

The recent settlement of immigrant populations into a wider range of geographies and communities across the United States raises new questions about the dynamics of residential segregation and complicates assumptions about how neighborhoods change—or don't—and why. While multiple theories attempt to explain the relationship between race/ethnicity, immigration, and neighborhood change, sociological examinations have been limited by the lack of systematic and frequently collected data. That is, the residential churn of neighborhoods, particularly in the market for rental housing where racial/ethnic minorities and immigrants predominate, often outpaces analysts’ ability to gather cross–neighborhood and cross–city data. In this essay we describe how online sources can help answer questions about race/ethnicity, immigration, and neighborhoods by providing large amounts of readily updatable data. An array of platforms designed to provide homeseekers with information about their housing options can also be used by sociologists for making claims about neighborhood change across multiple geographies. We review recent research that uses online data and describe an ongoing study by the authors that examines trends in the settlement patterns of immigrants and the rental housing market across the 50 largest MSAs in the United States. Online data sources can more accurately capture immigration and neighborhood processes, yielding better theories about the impact of immigration on neighborhood change.

scholarly journals Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: An Analysis of 45 States and the District of Columbia

2021 ◽  
Vol 18 (6) ◽  
pp. 2921
Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  
Keyword(s):  
United States ◽  
District Of Columbia ◽  
Ethnic Disparities ◽  
The United States ◽  
Attributable Mortality ◽  
Race Ethnicity ◽  
Using Data ◽  
Rate Ratios ◽  
Degree Of Association ◽  
Racial Ethnic

The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios—anchoring comparisons to non-Hispanic Whites—in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of 30 December 2020. Using a novel Monte Carlo simulation procedure to perform estimation, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, estimated disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.

scholarly journals COVID-19 In United States: Statistical Analysis and Inferences From the Empirical Data

2021 ◽  
Author(s):  
Nivedita Rethnakar
Keyword(s):  
United States ◽  
Statistical Analysis ◽  
Statistical Inference ◽  
Empirical Data ◽  
Respiratory Diseases ◽  
Temporal Dynamics ◽  
The United States ◽  
Mortality Statistics ◽  
Race Ethnicity ◽  
The Impact

Abstract This paper investigates the mortality statistics of the COVID-19 pandemic from the United States perspective. Using empirical data analysis and statistical inference tools, we bring out several exciting and important aspects of the pandemic, otherwise hidden. Specific patterns seen in demo- graphics such as race/ethnicity and age are discussed both qualitatively and quantitatively. We also study the role played by factors such as population density. Connections between COVID-19 and other respiratory diseases are also covered in detail. The temporal dynamics of the COVID-19 outbreak and the impact of vaccines in controlling the pandemic are also looked at with suf- ficient rigor. It is hoped that statistical inference such as the ones gathered in this paper would be helpful for better scientific understanding, policy prepa- ration and thus adequately preparing, should a similar situation arise in the future.

Adolescent Birth Rates and Rural–Urban Differences by Levels of Deprivation and Health Professional Shortage Areas in the United States, 2017–2018

2021 ◽  
Vol 111 (1) ◽  
pp. 136-144
Author(s):  
Sylvester O. Orimaye ◽  
Nathan Hale ◽  
Edward Leinaar ◽  
Michael G. Smith ◽  
Amal Khoury
Keyword(s):  
United States ◽  
Rural Communities ◽  
Health Professional ◽  
Health Resources ◽  
The United States ◽  
Future Research ◽  
Birth Rates ◽  
Rural Counties ◽  
Adolescent Birth ◽  
The Impact

Objectives. To examine the differences in adolescent birth rates by deprivation and Health Professional Shortage Areas (HPSAs) in rural and urban counties of the United States in 2017 and 2018. Methods. We analyzed available data on birth rates for females aged 15 to 19 years in the United States using the restricted-use natality files from the National Center for Health Statistics, American Community Survey 5-year population estimates, and the Area Health Resources Files. Results. Rural counties had an additional 7.8 births per 1000 females aged 15 to 19 years (b = 7.84; 95% confidence interval [CI] = 7.13, 8.55) compared with urban counties. Counties with the highest deprivation had an additional 23.1 births per 1000 females aged 15 to 19 years (b = 23.12; 95% CI = 22.30, 23.93), compared with less deprived counties. Rural counties with whole shortage designation had an additional 8.3 births per 1000 females aged 15 to 19 years (b = 8.27; 95% CI = 6.86, 9.67) compared with their urban counterparts. Conclusions. Rural communities across deprivation and HPSA categories showed disproportionately high adolescent birth rates. Future research should examine the extent to which contraceptive access differs among deprived and HPSA-designated rural communities and the impact of policies that may create barriers for rural communities.

Infant Mortality among Adolescent Mothers in the United States: A 5-Year Analysis of Racial and Ethnic Disparities

2020 ◽  
Author(s):  
Matthew D. Moore ◽  
Anne E. Brisendine ◽  
Martha S. Wingate
Keyword(s):  
United States ◽  
Preterm Birth ◽  
Infant Mortality ◽  
Ethnic Disparities ◽  
The United States ◽  
Racial And Ethnic Disparities ◽  
Postneonatal Mortality ◽  
Maternal Characteristics ◽  
Race Ethnicity ◽  
Racial Ethnic

Objective This study was aimed to examine differences in infant mortality outcomes across maternal age subgroups less than 20 years in the United States with a specific focus on racial and ethnic disparities. Study Design Using National Center for Health Statistics cohort-linked live birth–infant death files (2009-2013) in this cross-sectional study, we calculated descriptive statistics by age (<15, 15–17, and 18–19 years) and racial/ethnic subgroups (non-Hispanic white [NHW], non-Hispanic black [NHB], and Hispanic) for infant, neonatal, and postneonatal mortality. Adjusted odds ratios (aOR) were calculated by race/ethnicity and age. Preterm birth and other maternal characteristics were included as covariates. Results Disparities were greatest for mothers <15 and NHB mothers. The risk of infant mortality among mothers <15 years compared to 18 to 19 years was higher regardless of race/ethnicity (NHW: aOR = 1.40, 95% confidence interval [CI]: 1.06–1.85; NHB: aOR = 1.28, 95% CI: 1.04–1.56; Hispanic: aOR = 1.36, 95%CI: 1.07–1.74). Compared to NHW mothers, NHB mothers had a consistently higher risk of infant mortality (15–17 years: aOR = 1.12, 95% CI: 1.03–1.21; 18–19 years: aOR = 1.21, 95% CI: 1.15–1.27), while Hispanic mothers had a consistently lower risk (15–17 years: aOR = 0.72, 95% CI: 0.66–0.78; 18–19 years: aOR = 0.74, 95% CI: 0.70–0.78). Adjusting for preterm birth had a greater influence than maternal characteristics on observed group differences in mortality. For neonatal and postneonatal mortality, patterns of disparities based on age and race/ethnicity differed from those of overall infant mortality. Conclusion Although infants born to younger mothers were at increased risk of mortality, variations by race/ethnicity and timing of death existed. When adjusted for preterm birth, differences in risk across age subgroups declined and, for some racial/ethnic groups, disappeared. Key Points

scholarly journals Racial/Ethnic Disparities in Lost Earnings From Cancer Deaths in the United States

2020 ◽  
Vol 4 (5) ◽  
Author(s):  
Jingxuan Zhao ◽  
Kimberly D Miller ◽  
Farhad Islami ◽  
Zhiyuan Zheng ◽  
Xuesong Han ◽  
...  
Keyword(s):  
United States ◽  
Economic Burden ◽  
Ethnic Disparities ◽  
The United States ◽  
Pacific Islanders ◽  
Equal Access ◽  
Years Of Life Lost ◽  
Cancer Death ◽  
Race Ethnicity ◽  
Racial Ethnic

Abstract Background Little is known about disparities in economic burden due to premature cancer deaths by race or ethnicity in the United States. This study aimed to compare person-years of life lost (PYLLs) and lost earnings due to premature cancer deaths by race/ethnicity. Methods PYLLs were calculated using recent national cancer death and life expectancy data. PYLLs were combined with annual median earnings to generate lost earnings. We compared PYLLs and lost earnings among individuals who died at age 16-84 years due to cancer by racial/ethnic groups (non-Hispanic [NH] White, NH Black, NH Asian or Pacific Islander, and Hispanic). Results In 2015, PYLLs due to all premature cancer deaths were 6 512 810 for NH Whites, 1 196 709 for NH Blacks, 279 721 for NH Asian or Pacific Islanders, and 665 968 for Hispanics, translating to age-standardized lost earning rates (per 100 000 person-years) of $34.9 million, $43.5 million, $22.2 million, and $24.5 million, respectively. NH Blacks had higher age-standardized PYLL and lost earning rates than NH Whites for 13 of 19 selected cancer sites. If age-specific PYLL and lost earning rates for NH Blacks were the same as those of NH Whites, 241 334 PYLLs and $3.2 billion lost earnings (22.6% of the total lost earnings among NH Blacks) would have been avoided. Disparities were also observed for average PYLLs and lost earnings per cancer death for all cancers combined and 18 of 19 cancer sites. Conclusions Improving equal access to effective cancer prevention, screening, and treatment will be important in reducing the disproportional economic burden associated with racial/ethnic disparities.

scholarly journals Federal, State, and Local Nutrition Policies for Cancer Prevention: Perceived Impact and Feasibility, United States, 2018

2020 ◽  
Vol 110 (7) ◽  
pp. 1006-1008
Author(s):  
Lauren Lizewski ◽  
Grace Flaherty ◽  
Parke Wilde ◽  
Ross Brownson ◽  
Claire Wang ◽  
...  
Keyword(s):  
United States ◽  
Cancer Prevention ◽  
The United States ◽  
Federal State ◽  
Future Research ◽  
Assistance Program ◽  
Nutrition Policies ◽  
Perceived Impact ◽  
State And Local ◽  
The Impact

Objectives. To assess stakeholder perceptions of the impact and feasibility of 21 national, state, and local nutrition policies for cancer prevention across 5 domains in the United States. Methods. We conducted an online survey from October through December 2018. Participants were invited to take the survey via direct e-mail contact or an organizational e-newsletter. Results. Federal or state Medicare/Medicaid coverage of nutrition counseling and federal or state subsidies on fruits, vegetables, and whole grains for participants in the Supplemental Nutrition Assistance Program were the policies rated as having the highest perceived impact and feasibility. Overall, the 170 respondents rated policy impact higher than policy feasibility. Polices at the federal or state level had a higher perceived impact, whereas local policies had higher perceived feasibility. Conclusions. Our findings might guide future research and advocacy that can ultimately motivate and target policy actions to reduce cancer burdens and disparities in the United States.

Racism: A Public Health Crisis

2020 ◽  
Vol 19 (3) ◽  
pp. 506-515
Author(s):  
Katie L. Acosta
Keyword(s):  
United States ◽  
General Population ◽  
The United States ◽  
Systemic Racism ◽  
Health Crisis ◽  
Infected People ◽  
The Face ◽  
The Impact ◽  
Racial Ethnic ◽  
Bear Witness

The impact of COVID–19 on racially minoritized communities in the United States has forced us all to look square in the face of the systemic racism that is embedded in every fabric of our society. As the number of infected people continues to rise, the racial disparities are glaringly obvious. Black and Latinx communities have been hit considerably harder by this pandemic. Both racial/ethnic groups have seen rates of infection well above their percentage in the general population and African Americans have seen rates of death from COVID–19 as high as twice their percentage in the general population. These numbers bear witness to the high cost of racism in the United States.

scholarly journals Differential Association of HIV Funding With HIV Mortality by Race/Ethnicity, United States, 1999-2017

2020 ◽  
Vol 135 (1_suppl) ◽  
pp. 149S-157S
Author(s):  
Benedict I. Truman ◽  
Ramal Moonesinghe ◽  
Yolanda T. Brown ◽  
Man-Huei Chang ◽  
Jonathan H. Mermin ◽  
...  
Keyword(s):  
United States ◽  
The United States ◽  
Rate Of Change ◽  
Fiscal Year ◽  
Death Rates ◽  
Black Residents ◽  
Race Ethnicity ◽  
Hiv Funding ◽  
Racial Ethnic ◽  
Hispanic White

Objective Federal funds have been spent to reduce the disproportionate effects of HIV/AIDS on racial/ethnic minority groups in the United States. We investigated the association between federal domestic HIV funding and age-adjusted HIV death rates by race/ethnicity in the United States during 1999-2017. Methods We analyzed HIV funding data from the Kaiser Family Foundation by federal fiscal year (FFY) and US age-adjusted death rates (AADRs) by race/ethnicity (Hispanic, non-Hispanic white, non-Hispanic black, and Asian/Pacific Islander and American Indian/Alaska Native [API+AI/AN]) from Centers for Disease Control and Prevention WONDER detailed mortality files. We fit joinpoint regression models to estimate the annual percentage change (APC), average APC, and changes in AADRs per billion US dollars in HIV funding, with 95% confidence intervals (CIs). For 19 data points, the number of joinpoints ranged from 0 to 4 on the basis of rules set by the program or by the user. A Monte Carlo permutation test indicated significant ( P < .05) changes at joinpoints, and 2-sided t tests indicated significant APCs in AADRs. Results Domestic HIV funding increased from $10.7 billion in FFY 1999 to $26.3 billion in FFY 2017, but AADRs decreased at different rates for each racial/ethnic group. The average rate of change in AADR per US billion dollars was −9.4% (95% CI, −10.9% to −7.8%) for Hispanic residents, −7.8% (95% CI, −9.0% to −6.6%) for non-Hispanic black residents, −6.7% (95% CI, −9.3% to −4.0%) for non-Hispanic white residents, and −5.2% (95% CI, −7.8% to −2.5%) for non-Hispanic API+AI/AN residents. Conclusions Increased domestic HIV funding was associated with faster decreases in age-adjusted HIV death rates for Hispanic and non-Hispanic black residents than for residents in other racial/ethnic groups. Increasing US HIV funding could be associated with decreasing future racial/ethnic disparities in the rate of HIV-related deaths.

Impact of Ethnicity On Incidence and Survival Among Adults with Acute Lymphoblastic Leukemia in the United States; Insights From 2005 SEER Data.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 3069-3069
Author(s):  
Casey L O'Connell ◽  
Pedram Razavi ◽  
Roberta McKean-Cowdin ◽  
Malcolm C. Pike
Keyword(s):  
T Cell ◽  
B Cell ◽  
Ethnic Groups ◽  
Lymphoblastic Leukemia ◽  
The United States ◽  
Incidence Rates ◽  
The Us ◽  
Race Ethnicity ◽  
The Impact ◽  
Racial Ethnic

Abstract Abstract 3069 Poster Board III-6 Background Acute lymphoblastic leukemia (ALL) is an aggressive malignancy whose incidence declines through adolescence and then increases steadily with age. Prognosis appears to be inversely related to age among adults. We sought to explore the impact of race/ethnicity on incidence and survival among adults with ALL in the United States (US). Methods We examined trends in incidence and survival among adults with ALL in the US using the National Cancer Institute's Surveillance, Epidemiology and End Results (SEER) program which includes data from 17 SEER registries. We calculated the incidence rates for the most recent time period (2001-2005) because the classification for ALL subtypes was more complete during this time. For the survival analysis we used the data collected between 1975 and 2005. We categorized race/ethnicity into 5 mutually exclusive categories: non-Hispanic whites (NHW), Hispanic whites (HW), African Americans (AA), Asian/Pacific Islanders (API) and American Indians/Native Alaskans (AI/NA). Hispanic ethnicity was defined using SEER's Hispanic-origin variable which is based on the NAACCR Hispanic Identification Algorithm (NHIA); 11 patients dually coded as black and Hispanic were included in the AA group for our analyses. Few ALL cases were identified among AI/NA, so that group is not represented in the final analyses. We included ALL cases coded in the SEER registry using the International Classification of Disease for Oncology (ICD-0-3) as 9827-9829 and 9835-9837. We excluded cases of Burkitt's leukemia (n=228), cases that were not confirmed by microscopic or cytologic tests (n=132), cases that were reported only based on autopsy data (n=3) and cases whose race/ethnicity were unknown (n=20). The average annual incidence rates per 100,000 for 2001-2005, age-adjusted to the 2000 US standard population were calculated using SEER*Stat Version 6.4.4 statistical software. We used multivariate Cox hazard models stratified by SEER registry and age category to estimate the hazard ratios (HR) and 95% confidence intervals (95% CI) for relative survival of adult ALL cases across race/ethnicity, sex and cell of origin (B- or T-cell). All models were adjusted for the diagnosis era, and use of non-CNS radiation. The model also included an interaction term for age and diagnosis era. We performed a separate stratified analysis of the impact of race/ethnicity on survival within age subgroups (20-29, 30-39, 40-59, 60-69, 70+). Results The highest incidence rate (IR) of ALL was observed for HW (IR: 1.60; 95% CI: 1.43-1.79). HW had a significantly higher IR across all age categories as compared to the other racial/ethnic groups, while AA had the lowest IR. In particular, the observed rate of B-cell ALL among HW (IR 0.77; 95% CI 0.69-0.87) was more than twice that of NHW (IR: 0.29; 95% CI: 0.27-0.32) and more than three times the rate observed among AA (IR: 0.20; 95% CI: 0.15-0.26). In contrast, we did not observe statistically significant variability in the rates of T-cell ALL across race/ethnic groups (overall IR: 0.12; 95% CI: 0.11-0.14). Survival was significantly poorer among AA (HR: 1.26; 95% CI: 1.09-1.46), HW (HR: 1.21; 95% CI: 1.09-1.46), and API (HR: 1.18; 95% CI: 1.06-1.32) compared to NHW with all subtypes of ALL. Among adults younger than 40 with B-cell ALL, survival was significantly poorer among AA (HR: 1.60; 95% CI:1.021-2.429) and HW (HR: 1.53; 95% CI:1.204-1.943) with a non-signficant trend among API (HR: 1.22; 95% 0.834-1.755) compared to NHW. Survival differences between the different racial/ethnic groups were no longer statistically significant among adults with B-cell ALL over the age of 40. For T-cell ALL, survival was significantly poorer among AA (HR: 1.61; 95% CI: 1.22-2.10), HW (HR: 1.49; 95% CI: 1.14-1.93) and API (HR: 1.57; 95% CI: 1.13-2.13), as compared to NHW. A similar survival pattern by age (adults above and below age 40 years) was observed for T-cell as described for B-cell, with AA under 40 having a particularly dismal prognosis (HR: 2.89; 95% CI 1.96-4.17) compared to NHW. Conclusions The incidence rate of B-cell ALL among adults in the US is higher among HW than other ethnic groups. Survival is significantly poorer among AA and HW than among NHW under the age of 40 with B-cell ALL. Survival is also significantly poorer among AA, HW and API than among NHW with T-cell ALL in adults under 40. Survival trends appear to converge after the age of 40 among all racial/ethnic groups. Disclosures No relevant conflicts of interest to declare.

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