scholarly journals Economic Insecurity and Deaths of Despair in US Counties

2019 ◽  
Vol 188 (12) ◽  
pp. 2131-2139 ◽  
Author(s):  
Emily A Knapp ◽  
Usama Bilal ◽  
Lorraine T Dean ◽  
Mariana Lazo ◽  
David D Celentano
Keyword(s):  
Confidence Interval ◽  
Population Level ◽  
Economic Insecurity ◽  
Linear Regression Models ◽  
Death Rates ◽  
Federal Reserve Bank ◽  
Reserve Bank ◽  
Rate Of Increase ◽  
Us Counties ◽  
Deaths Of Despair

Abstract Recent research has implicated economic insecurity in increasing midlife death rates and “deaths of despair,” including suicide, chronic liver disease, and drug and alcohol poisoning. In this ecological longitudinal study, we evaluated the association between changes in economic insecurity and increases in deaths of despair and midlife all-cause mortality in US counties during 2000–2015. We extended a previously developed measure of economic insecurity using indicators from the Census and Federal Reserve Bank in US counties for the years 2000 and 2010. Linear regression models were used to estimate the association of change in economic insecurity with change in death rates through 2015. Counties experiencing elevated economic insecurity in either 2000 or 2010 had higher rates of deaths of despair and all-cause midlife mortality at baseline but similar rates of increase in deaths of despair from 2001 to 2015 compared with counties with stable low economic insecurity. Counties in the highest tertile of economic insecurity in 2000 and 2010 had 41% (95% confidence interval: 1.36, 1.47) higher midlife mortality rates at baseline and a rate of increase of 2% more per 5-year period (95% confidence interval: 1.00, 1.03) than counties with stable low economic insecurity. Economic insecurity may represent a population-level driver of US death trends.

The association between S1P and vascular disease markers in the general population

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
L Rotheudt ◽  
E Moritz ◽  
M Markus ◽  
H Voelzke ◽  
N Friedrich ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Vascular Disease ◽  
Brachial Artery ◽  
Extreme Values ◽  
Ankle Brachial Index ◽  
Lipid Mediator ◽  
Vascular Health ◽  
Linear Regression Models ◽  
Brachial Artery Diameter ◽  
Carotid Plaques

Abstract Funding Acknowledgements Type of funding sources: None. Introduction  Sphingosine-1-phosphate (S1P) is a lipid mediator of the immune system and vascular bed. However, cross-sectional analyses of S1P and parameters of vascular health in the population are sparse. Purpose  We explored the relation between S1P concentrations and several parameters of vascular health, i.e. ankle-brachial index (ABI), carotid intima-media thickness (cIMT), presence of carotid atherosclerotic plaques/stenosis, brachial artery flow-mediated dilation (FMD) as well as aortic wall thickness (AWT). Methods S1P was measured by liquid chromatography-tandem mass spectrometry in the population-based Study of Health in Pomerania (SHIP-TREND-0). ABI was calculated as the ratio of systolic blood pressure in arms and ankles. For cIMT, the distance between the lumen-intima and media-adventitia interfaces in longitudinal scans were measured. Carotid plaques were defined as a focal protrusion of the carotid vessel wall. Carotid stenosis was assessed with Doppler ultrasonography. FMD was evaluated by measuring the increase in brachial artery diameter after transient forearm ischemia. AWT was assessed by Magnetic Resonance Imaging.  Subjects with cancer, severe renal insufficiency, previous myocardial infarction and extreme values for S1P (< 1st and > 99th percentile) were excluded. Sex stratified linear regression models adjusted for age, smoking, waist-to-hip ratio and platelets were used to assess the relation between S1P and vascular disease parameters. Results A total of n = 3,643 participants (48% male, median age 51, 25th and 75th percentile 39 and 63 years) could be included in the analyses. The median S1P concentration was 0.788 µM (25th and 75th percentile 0.679 and 0.906, respectively). In men a 1 standard deviation higher S1P was associated with a significantly greater cIMT (β: 0.0057 95% confidence interval [CI]: 0.00027 to 0.0112 mm; p = 0.0396) and a lower ABI (β: -0.0090 (95% confidence interval [CI]: -0.0153 to -0.0029; p = 0.0038. In women S1P was significantly associated with cIMT (β: 0.0044 95% confidence interval [CI]: 0.0001 to 0.0086 mm; p = 0.0445) while no significant association was found for the relation of S1P with ABI. For both men and women S1P was not associated with FMD, the presence of carotid plaques/stenosis and AWT. Conclusions We found that S1P concentrations were positively related to a thicker cIMT in both sexes and lower ABI values in men. There was no association of S1P with any of the other vascular markers of interest. Future studies need to validate our results in other populations.

The Federal Reserve Bank of Richmond

1942 ◽  
Vol 22 (4) ◽  
pp. 431
Author(s):  
S. Donald Southworth ◽  
C. G. Coit
Keyword(s):  
Federal Reserve ◽  
Federal Reserve Bank ◽  
Reserve Bank

Population-level analysis of antibiotic use and death rates in beef feedlots over ten years in three cattle-feeding regions of the United States

2021 ◽  
pp. 1-7
Author(s):  
Stephanie C. Rutten-Ramos ◽  
Shabbir Simjee ◽  
Michelle S. Calvo-Lorenzo ◽  
Jason L. Bargen
Keyword(s):  
Death Rate ◽  
Live Weight ◽  
Population Level ◽  
Antibiotic Use ◽  
The United States ◽  
Death Rates ◽  
Cattle Feeding ◽  
The Us ◽  
Rate Ratios ◽  
Beef Feedlots

Abstract OBJECTIVE To assess antibiotic use and other factors associated with death rates in beef feedlots in 3 regions of the US over a 10-year period. SAMPLE Data for 186,297 lots (groups) of finished cattle marketed between 2010 and 2019 were obtained from a database representing feedlots in the central, high, and north plains of the US. PROCEDURES Descriptive statistics were generated. Generalized linear mixed models were used to estimate lot death rates for each region, sex (steer or heifer), and cattle origin (Mexico or the US) combination. Death rate was calculated as the (number of deaths/number of cattle placed in the lot) × 100. Lot antibiotic use (TotalActiveMG/KGOut) was calculated as the total milligrams of active antibiotics assigned to the lot per live weight (in kilograms) of cattle marketed from the lot. Rate ratios were calculated to evaluate the respective associations between lot death rate and characteristics of cattle and antibiotic use. RESULTS Mean death rate increased during the 10-year period, peaking in 2018. Mean number of days on feed also increased over time. Mean TotalActiveMG/KGOut was greatest in 2014 and 2015, lowest in 2017, and moderated in 2018 and 2019. Death rate was positively associated with the number of days on feed and had a nonlinear association with TotalActiveMG/KGOut. Feeding medicated feed articles mitigated death rate. CONCLUSIONS AND CLINICAL RELEVANCE Results suggested a balance between disease prevention and control in feedlots for cattle with various risk profiles. Additional data sources are needed to assess TotalActiveMG/KGOut across the cattle lifetime.

Discussion of the Federal Reserve Bank Plan

1913 ◽  
Vol 4 (1) ◽  
pp. 137
Author(s):  
N. Johannsen ◽  
George B. Morley ◽  
Mr. Vincent ◽  
Alexander D. Noyes
Keyword(s):  
Federal Reserve ◽  
Federal Reserve Bank ◽  
Reserve Bank

scholarly journals Obligasi Bencana Alam Dengan Suku Bunga Stokastik Dan Pendekatan Campuran

2016 ◽  
Vol 7 (1) ◽  
pp. 49-62
Author(s):  
Dian Anggraini ◽  
Yasir Wijaya
Keyword(s):  
Interest Rates ◽  
Natural Disaster ◽  
Financial Risk ◽  
Bond Price ◽  
Federal Reserve Bank ◽  
Aggregate Distribution ◽  
Disaster Loss ◽  
Reserve Bank ◽  
Mixed Approach ◽  
The Impact

This study contains the group claims model as discussed by (Lee, 2007)  for the pricing of natural disaster bonds. This research was conducted with several stages. First make the formula of bond price with stochastic interest rate and disaster event following non homogeneous poisson process. It further estimates the parameters of disaster loss data from the Insurance Information Institute (III) from 1989 to 2012 and interest rates from the Federal Reserve Bank. Because the determination of aggregate distribution is difficult to be exact, numerical calculation is done by mixed approach method (Gamma and Inverse Gaussian) to determine the solution of natural disaster bond price. Finally, shows how the impact of financial risk and disaster risk on the price of natural disaster bonds.

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