Occupational Differences in Deaths of Despair in the United States, Using Data from the using the National Occupational Mortality Surveillance System

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Cherish Rayhall ◽  
Devan Hawkins
2020 ◽  
Vol 32 (4) ◽  
pp. 757-759
Author(s):  
Deepak Gupta ◽  
Sarwan Kumar ◽  
Shushovan Chakrabortty

The mortality associated factors can be quantified in terms of proportionate mortality ratios (PMR) per National Occupational Mortality Surveillance (NOMS) data. Therefore, we explored NOMS data for the United States (U.S.) occupational workers’ mortality during 1999, 2003-2004, 2007-2014 to compare physicians’ mortality associated factors to the mortality associated factors among nurses vs. the mortality associated factors among lawyers & judges. Due to lack of adequate sample sizes of decedents being concurrently present among physicians, nurses, and lawyers & judges of Black race, we were able to tabulate 25 causes of death with significant PMRs among physicians, nurses, and lawyers & judges only of White race. Therein, intentional self harm associated mortality was found to be common among U.S. White physicians, nurses, lawyers & judges.


1987 ◽  
Vol 11 (3) ◽  
pp. 329-342 ◽  
Author(s):  
Robert Dubrow ◽  
John P. Sestito ◽  
Nina R. Lalich ◽  
Carol A. Burnett ◽  
Joyce A. Salg

2017 ◽  
Vol 14 (3) ◽  
pp. 331-342 ◽  
Author(s):  
Thomas John Cooke ◽  
Ian Shuttleworth

It is widely presumed that information and communication technologies, or ICTs, enable migration in several ways; primarily by reducing the costs of migration. However, a reconsideration of the relationship between ICTs and migration suggests that ICTs may just as well hinder migration; primarily by reducing the costs of not moving.  Using data from the US Panel Study of Income Dynamics, models that control for sources of observed and unobserved heterogeneity indicate a strong negative effect of ICT use on inter-state migration within the United States. These results help to explain the long-term decline in internal migration within the United States.


Author(s):  
Scott Fulmer ◽  
Shruti Jain ◽  
David Kriebel

The opioid epidemic has had disproportionate effects across various sectors of the population, differentially impacting various occupations. Commercial fishing has among the highest rates of occupational fatalities in the United States. This study used death certificate data from two Massachusetts fishing ports to calculate proportionate mortality ratios of fatal opioid overdose as a cause of death in commercial fishing. Statistically significant proportionate mortality ratios revealed that commercial fishermen were greater than four times more likely to die from opioid poisoning than nonfishermen living in the same fishing ports. These important quantitative findings suggest opioid overdoses, and deaths to diseases of despair in general, deserve further study in prevention, particularly among those employed in commercial fishing.


Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4336
Author(s):  
Piervincenzo Rizzo ◽  
Alireza Enshaeian

Bridge health monitoring is increasingly relevant for the maintenance of existing structures or new structures with innovative concepts that require validation of design predictions. In the United States there are more than 600,000 highway bridges. Nearly half of them (46.4%) are rated as fair while about 1 out of 13 (7.6%) is rated in poor condition. As such, the United States is one of those countries in which bridge health monitoring systems are installed in order to complement conventional periodic nondestructive inspections. This paper reviews the challenges associated with bridge health monitoring related to the detection of specific bridge characteristics that may be indicators of anomalous behavior. The methods used to detect loss of stiffness, time-dependent and temperature-dependent deformations, fatigue, corrosion, and scour are discussed. Owing to the extent of the existing scientific literature, this review focuses on systems installed in U.S. bridges over the last 20 years. These are all major factors that contribute to long-term degradation of bridges. Issues related to wireless sensor drifts are discussed as well. The scope of the paper is to help newcomers, practitioners, and researchers at navigating the many methodologies that have been proposed and developed in order to identify damage using data collected from sensors installed in real structures.


Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  

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.


2020 ◽  
pp. 002242942098252
Author(s):  
Justin J. West

The purpose of this study was to evaluate music teacher professional development (PD) practice and policy in the United States between 1993 and 2012. Using data from the nationally representative Schools and Staffing Survey (SASS) spanning these 20 years, I examined music teacher PD participation by topic, intensity, relevance, and format; music teachers’ top PD priorities; and the reach of certain PD-supportive policies. I assessed these descriptive results against a set of broadly agreed-on criteria for “effective” PD: content specificity, relevance, voluntariness/autonomy, social interaction, and sustained duration. Findings revealed a mixed record. Commendable improvements in content-specific PD access were undercut by deficiencies in social interaction, voluntariness/autonomy, sustained duration, and relevance. School policy, as reported by teachers, was grossly inadequate, with only one of the nine PD-supportive measures appearing on SASS reaching a majority of teachers in any given survey year. Implications for policy, practice, and scholarship are presented.


2020 ◽  
pp. 096366252097856
Author(s):  
Matthew C. Nowlin

The use of technocratic decision-making, where policy decisions are made by elite experts, is an important aspect of policymaking in the United States. However, little work has examined public opinion about technocracy. Using data from a representative sample of the United States ( n = 1200), I explore differences in support for technocracy and the implications of that support for views about politically controversial energy sources and climate policies. Overall, I find that liberal Democrats, moderate/conservative Democrats, and moderate/liberal Republicans were more likely than conservative Republicans and moderate independents to support technocratic decision-making. In addition, I find that as support for technocracy increases, so does support for energy sources and climate policies; however, there are significant interaction effects across political beliefs.


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