scholarly journals Increased Fall-Related Mortality Rates in New Mexico, 1999–2005

2011 ◽  
Vol 126 (6) ◽  
pp. 861-867 ◽  
Author(s):  
Aaron M. Wendelboe ◽  
Michael G. Landen
Keyword(s):  
New Mexico ◽  
Mortality Rate ◽  
Asian American ◽  
The United States ◽  
Mortality Rates ◽  
Prevention Measures ◽  
Effective Prevention ◽  
Hispanic People ◽  
The U.S ◽  
Related Mortality

Objective. In 2000, fall injuries affected 30% of U.S. residents aged ≥65 years and cost $19 billion. In 2005, New Mexico (NM) had the highest fall-related mortality rate in the United States. We described factors associated with these elevated fall-related mortality rates. Methods. To better understand the epidemiology of fatal falls in NM, we used state and national (Web-based Injury Statistics Query and Reporting System) vital records data for 1999–2005 to identify unintentional falls that were the underlying cause of death. We calculated age-adjusted mortality rates, rate ratios (RRs), and 95% confidence intervals (CIs) by sex, ethnicity, race, and year. Results. For 1999–2005 combined, NM's fall-related mortality rate (11.7 per 100,000 population) was 2.1 times higher than the U.S. rate (5.6 per 100,000 population). Elevated RRs persisted when stratified by sex (male RR=2.0, female RR=2.2), ethnicity (Hispanic RR=2.5, non-Hispanic RR=2.1), race (white RR=2.0, black RR=1.7, American Indian RR=2.3, and Asian American/Pacific Islander RR=3.1), and age (≥50 years RR=2.0, <50 years RR=1.2). Fall-related mortality rates began to increase exponentially at age 50 years, which was 15 years younger than the national trend. NM non-Hispanic individuals had the highest demographic-specific fall-related mortality rate (11.8 per 100,000 population, 95% CI 11.0, 12.5). NM's 69.5% increase in fall-related mortality rate was approximately twice the U.S. increase (31.9%); the increase among non-Hispanic people (86.2%) was twice that among Hispanic people (43.5%). Conclusions. NM's fall-related mortality rate was twice the U.S. rate; exhibited a greater increase than the U.S. rate; and persisted across sex, ethnicity, and race. Fall-related mortality disproportionately affects a relatively younger population in NM. Characterizing fall etiology will assist in the development of effective prevention measures.

Conclusion

2017 ◽  
Author(s):  
Stephanie Hinnershitz
Keyword(s):  
New Mexico ◽  
Asian Americans ◽  
First Amendment ◽  
Asian American ◽  
The United States ◽  
First Century ◽  
Ballot Initiative ◽  
Neutral Language ◽  
Legislative Measures ◽  
The U.S

In November 2008, Floridians who went to the polls to cast their ballots for the next president of the United States also had the chance to reverse eighty years of institutionalized discrimination against Asian Americans in their state. Asian American rights groups in Florida and nationwide distributed pamphlets, sent emails, and spoke to media outlets to build support for a ballot initiative that proposed removing the “aliens ineligible for citizenship” clause from the state constitution. There was hope that Florida could go the way of states like Kansas and New Mexico and formally remove the lingering anti-Asian language. Although the U.S. Supreme Court rendered legislative measures to prevent aliens ineligible for citizenship from owning land unconstitutional in 1952, the connection between the continued presence of this outdated language in the constitution and the legacy of anti-Asian sentiment was clear—this would be a symbolic victory that would signal a purge of de jure if not de facto prejudice and racism aimed at Asian Americans. Because Florida’s anti-alien legislation was enshrined in the constitution, 60 percent of voters would have to approve the initiative in order to remove the discriminatory language from the first amendment and insert neutral language specifying property rights for all. Surely, in the twenty-first century, Floridians would recognize the outdated and discriminatory portion of their constitution and vote to move the law of their land beyond the limits of the past....

Abstract P261: Intensive Systolic Blood Pressure Lowering Will Prevent Over 100,000 Deaths Annually

Hypertension ◽  
2016 ◽  
Vol 68 (suppl_1) ◽  
Author(s):  
Holly Kramer ◽  
Adam Bress ◽  
Srinivasan Beddhu ◽  
Paul Muntner ◽  
Richard S Cooper
Keyword(s):  
Blood Pressure ◽  
Mortality Rate ◽  
Systolic Blood Pressure ◽  
Mortality Rates ◽  
Mortality Data ◽  
Blood Pressure Lowering ◽  
Cvd Risk ◽  
Pressure Lowering ◽  
Annual Mortality ◽  
The U.S

Background: The Systolic Blood Pressure Intervention Trial (SPRINT) trial randomized 9,361 adults aged ≥50 years at high cardiovascular disease (CVD) risk without diabetes or stroke to intensive systolic blood pressure (SBP) lowering (≤120 mmHg) or standard SBP lowering (≤140 mmHg). After a median follow up of 3.26 years, all-cause mortality was 27% (95% CI 40%, 10%) lower with intensive SBP lowering. We estimated the potential number of prevented deaths with intensive SBP lowering in the U.S. population meeting SPRINT criteria. Methods: SPRINT eligibility criteria were applied to the National Health and Nutrition Examination Survey 1999-2006, a representative survey of the U.S. population, linked with the mortality data through December 2011. Eligibility included (1) age ≥50 years with (2) SBP 130-180 mmHg depending on number of antihypertensive classes being taken, and (3) presence of ≥1 CVD risk conditions (history of coronary heart disease, estimated glomerular filtration rate (eGFR) 20 to 59 ml/min/1.73 m 2 , 10-year Framingham risk score ≥15%, or age ≥75 years). Adults with diabetes, stroke history, >1 g/day proteinuria, heart failure, on dialysis, or eGFR<20 ml/min/1.73m 2 were excluded. Annual mortality rates for adults meeting SPRINT criteria were calculated using Kaplan-Meier methods and the expected reduction in mortality rates with intensive SBP lowering in SPRINT was used to determine the number of potential deaths prevented. Analyses accounted for the complex survey design. Results: An estimated 18.1 million U.S. adults met SPRINT criteria with 7.4 million taking blood pressure lowering medications. The mean age was 68.6 years and 83.2% and 7.4% were non-Hispanic white and non-Hispanic black, respectively. The annual mortality rate was 2.2% (95% CI 1.9%, 2.5%) and intensive SBP lowering was projected to prevent 107,453 deaths per year (95% CI 45,374 to 139,490). Among adults with SBP ≥145 mmHg, the annual mortality rate was 2.5% (95% CI 2.1%, 3.0%) and intensive SBP lowering was projected to prevent 60,908 deaths per year (95% CI 26, 455 to 76, 792). Conclusions: We project intensive SBP lowering could prevent over 100,000 deaths per year of intensive treatment.

Explanation of Perinatal Mortality Rate in Collaborative Study

PEDIATRICS ◽  
1973 ◽  
Vol 52 (6) ◽  
pp. 891-891
Author(s):  
Arnold S. Goldstein ◽  
Henry H. Mangurten
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
Umbilical Artery ◽  
Collaborative Study ◽  
The United States ◽  
Mortality Rates ◽  
Single Umbilical Artery ◽  
Neonatal Deaths ◽  
General Mortality ◽  
Future Management

The article by Froehlich and Fujikura1 on the prognosis of single umbilical artery is a much needed and highly informative addition to the literature. It presents a great deal of information and some important implications as to future management. We question the mortality rates quoted. They are given as percentages, and include stillbirths and neonatal deaths, i.e., perinatal mortality. The figure given as the general mortality rate is 3.8% or 38 per 1,000 births. Previous figures cited for perinatal mortality in the United States have varied from approximately 19 per 1,000 to approximately 26 per 1,000.2-4 We wonder how the figure of 38 per 1,000 was determined.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?Background: Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care, and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking.Objective: We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.Methods: Satellite images of neighborhoods surrounding schools were extracted with the Google Static Maps application programming interface for 430 counties representing ~68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.Results: Predicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r = 0.72). Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g., sidewalks, driveways, and hiking trails) associated with lower mortality. Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race, and age.Conclusions: The application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

Annual Summary of Vital Statistics—1991

PEDIATRICS ◽  
1992 ◽  
Vol 90 (6) ◽  
pp. 835-845
Author(s):  
Myron E. Wegman
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Divorce Rate ◽  
The United States ◽  
Mortality Rates ◽  
Vital Statistics ◽  
Natural Increase ◽  
Infant Mortality Rate ◽  
Marriage Rates ◽  
Final Data

Between 1990 and 1991, provisional data show that the infant mortality rate decreased again, from 9.1 to 8.9, a decline of 2% in contrast to the 7% decline from 1989 to 1990. Birth, death, and marriage rates were also lower, but the divorce rate stayed at about the same level as in 1990. Natural increase in the population, excess of births over deaths, was less than 2 million, 4% less than the increase in 1990. Detailed analysis of changes and of the influence of factors like age and race requires final data; at the time of preparation of this report final birth and death data were available only through 1989. For a variety of reasons, including staff shortages and delays in receipt of state data by the National Center for Health Statistics (NCHS), final data for 1990, which would usually have been available in late August 1992, are not expected before early 1993. Unlike recent years, the decline in the infant mortality rate was only in the neonatal component, which decreased 3.6%. Postneonatal mortality increased, for the first time in many years, by 1.6%, suggesting that the decline in the total is related more to therapeutic advances in neonatology than to improved prevention. Internationally, newly independent Latvia was added to the list of countries with rates less than 15, but Costa Rica was deleted. With the reunification of Germany the list shrank to 28 and, by default, the United States moved up from 21st to 20th. Some 12.5 million births, less than 9% of the world total, took place in countries with under-5 mortality rates of less than 20 per 1000. At the other end of the scale, 42% of the world's births occurred in countries with under-5 mortality rates of more than 140 per 1000. The median under-5 mortality rate for those countries in 1990 was 189 per 1000, meaning that almost 20% of the infants born alive in these countries died before their fifth birthday.

Retrospective analysis of neonatal deaths secondary to infections in England and Wales, 2013–2015

2020 ◽  
pp. fetalneonatal-2020-319093
Author(s):  
Godwin Oligbu ◽  
Leila Ahmed ◽  
Laura Ferraras-Antolin ◽  
Shamez Ladhani
Keyword(s):  
Mortality Rate ◽  
Retrospective Analysis ◽  
Neonatal Mortality ◽  
Mortality Rates ◽  
Neonatal Mortality Rate ◽  
England And Wales ◽  
Neonatal Deaths ◽  
Live Births ◽  
Extremely Preterm ◽  
Related Mortality

ObjectiveTo estimate the overall and infection-related neonatal mortality rate and the pathogens responsible using electronic death registrations.DesignRetrospective analysis of national electronic death registrations data.SettingEngland and Wales.PatientsNeonates aged <28 days.Main outcome measuresOverall and infection-related mortality rate per 1000 live births in term, preterm (28–36 weeks) and extremely preterm (<28 weeks) neonates; the contribution of infections and specific pathogens; comparison with mortality rates in 2003–2005.ResultsThe neonatal mortality rate during 2013–2015 (2.4/1000 live births; 5095 deaths) was 31% lower than in 2003–2005 (3.5/1000; 6700 deaths). Infection-related neonatal mortality rate in 2013–2015 (0.32/1000; n=669) was 20% lower compared with 2003–2015 (0.40/1000; n=768), respectively. Infections were responsible for 13.1% (669/5095) of neonatal deaths during 2013–2015 and 11.5% (768/6700) during 2003–2005. Of the infection-related deaths, 44.2% (296/669) were in term, 19.9% (133/669) preterm and 35.9% (240/669) extremely preterm neonates. Compared with term infants (0.15/1000 live births), infection-related mortality rate was 5.9-fold (95% CI 4.7 to 7.2) higher in preterm (0.90/1000) and 188-fold (95% CI 157 to 223) higher in extremely preterm infants (28.7/1000) during 2013–2015. A pathogen was recorded in 448 (67%) registrations: 400 (89.3%) were bacterial, 37 (8.3%) viral and 11 (2.4%) fungal. Group B streptococcus (GBS) was reported in 30.4% (49/161) of records that specified a bacterial infection and 7.3% (49/669) of infection-related deaths.ConclusionsOverall and infection-related neonatal mortality rates have declined, but the contribution of infection and of specific pathogens has not changed. Further preventive measures, including antenatal GBS vaccine may be required to prevent the single most common cause of infection-related deaths in neonates.

Accurately Counting Asian Americans Is a Civil Rights Issue

2018 ◽  
Vol 677 (1) ◽  
pp. 191-202 ◽  
Author(s):  
Jennifer Lee ◽  
Karthick Ramakrishnan ◽  
Janelle Wong
Keyword(s):  
United States ◽  
Civil Rights ◽  
Asian Americans ◽  
Asian American ◽  
The United States ◽  
Census Bureau ◽  
Foreign Born ◽  
Data Disaggregation ◽  
Rights Issue ◽  
The U.S

Asian Americans are the fastest-growing group in the United States, increasing from 0.7 percent in 1970 to nearly 6 percent in 2016. The U.S. Census Bureau projects that by 2065, Asian Americans will constitute 14 percent of the U.S. population. Immigration is fueling this growth: China and India have passed Mexico as the top countries sending immigrants to the United States since 2013. Today, two of three Asian Americans are foreign born—a figure that increases to nearly four of five among Asian American adults. The rise in numbers is accompanied by a rise in diversity: Asian Americans are the most diverse U.S. racial group, comprising twenty-four detailed origins with vastly different migration histories and socioeconomic profiles. In this article, we explain how the unique characteristics of Asian Americans affect their patterns of ethnic and racial self-identification, which, in turn, present challenges for accurately counting this population. We conclude by discussing policy ramifications of our findings, and explain why data disaggregation is a civil rights issue.

Craniotomy for Resection of Pediatric Brain Tumors in the United States, 1988 to 2000: Effects of Provider Caseloads and Progressive Centralization and Specialization of Care

Neurosurgery ◽  
2004 ◽  
Vol 54 (3) ◽  
pp. 553-565 ◽  
Author(s):  
Edward R. Smith ◽  
William E. Butler ◽  
Fred G. Barker
Keyword(s):  
United States ◽  
Brain Tumor ◽  
Mortality Rate ◽  
Multivariate Analyses ◽  
Pediatric Brain Tumor ◽  
High Volume ◽  
The United States ◽  
Mortality Rates ◽  
Discharge Disposition ◽  
Pediatric Brain

Abstract OBJECTIVE Large provider caseloads are associated with better patient outcomes after many complex surgical procedures. Mortality rates for pediatric brain tumor surgery in various practice settings have not been described. We used a national hospital discharge database to study the volume-outcome relationship for craniotomy performed for pediatric brain tumor resection, as well as trends toward centralization and specialization. METHODS We conducted a cross sectional and longitudinal cohort study using Nationwide Inpatient Sample data for 1988 to 2000 (Agency for Healthcare Research and Quality, Rockville, MD). Multivariate analyses adjusted for age, sex, geographic region, admission type (emergency, urgent, or elective), tumor location, and malignancy. RESULTS We analyzed 4712 admissions (329 hospitals, 480 identified surgeons) for pediatric brain tumor craniotomy. The in-hospital mortality rate was 1.6% and decreased from 2.7% (in 1988–1990) to 1.2% (in 1997–2000) during the study period. On a per-patient basis, median annual caseloads were 11 for hospitals (range, 1–59 cases) and 6 for surgeons (range, 1–32 cases). In multivariate analyses, the mortality rate was significantly lower at high-volume hospitals than at low-volume hospitals (odds ratio, 0.52 for 10-fold larger caseload; 95% confidence interval, 0.28–0.94; P = 0.03). The mortality rate was 2.3% at the lowest-volume-quartile hospitals (4 or fewer admissions annually), compared with 1.4% at the highest-volume-quartile hospitals (more than 20 admissions annually). There was a trend toward lower mortality rates after surgery performed by high-volume surgeons (P = 0.16). Adverse hospital discharge disposition was less likely to be associated with high-volume hospitals (P &lt; 0.001) and high-volume surgeons (P = 0.004). Length of stay and hospital charges were minimally related to hospital caseloads. Approximately 5% of United States hospitals performed pediatric brain tumor craniotomy during this period. The burden of care shifted toward large-caseload hospitals, teaching hospitals, and surgeons whose practices included predominantly pediatric patients, indicating progressive centralization and specialization. CONCLUSION Mortality and adverse discharge disposition rates for pediatric brain tumor craniotomy were lower when the procedure was performed at high-volume hospitals and by high-volume surgeons in the United States, from 1988 to 2000. There were trends toward lower mortality rates, greater centralization of surgery, and more specialization among surgeons during this period.

The Effects of Being Born in the United States on the Job Satisfaction of Asian Americans

2000 ◽  
Vol 87 (1) ◽  
pp. 347-350 ◽  
Author(s):  
Charles N. Weaver
Keyword(s):  
United States ◽  
Job Satisfaction ◽  
Asian Americans ◽  
Asian American ◽  
The United States ◽  
The Other ◽  
European American ◽  
Full Time ◽  
European Americans ◽  
The U.S

Analysis of the responses of Asian American ( n = 178), African American ( n = 1,026), and European American ( n = 8,118) full-time workers to 21 nationwide surveys representative of the U.S. labor force from 1972 through 1996 showed the job satisfaction of Asian Americans compared to that of the other two groups was affected by whether subjects were born in the United States. In addition, there were no gender differences in job satisfaction among African Americans and European Americans who were and were not born in the U.S., but there were such differences among Asian Americans.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Neighborhood Features

2020 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

AbstractWhat is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?BackgroundFollowing a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking. We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.MethodsSatellite images were extracted with the Google Static Maps application programming interface for 430 counties representing approximately 68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.ResultsPredicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r=0.72). Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race and age. Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g. sidewalks, driveways and hiking trails) associated with lower mortality.ConclusionsThe application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

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