Effect of childhood victimization on occupational prestige and income trajectories

Background Violence toward children (childhood victimization) is a major public health problem, with long-term consequences on economic well-being. The purpose of this study was to determine whether childhood victimization affects occupational prestige and income in young adulthood. We hypothesized that young adults who experienced more childhood victimizations would have less prestigious jobs and lower incomes relative to those with no victimization history. We also explored the pathways in which childhood victimization mediates the relationships between background variables, such as parent’s educational impact on the socioeconomic transition into adulthood. Methods A nationally representative sample of 8,901 young adults aged 18–28 surveyed between 1999–2009 from the National Longitudinal Survey of Youth 1997 (NLSY) were analyzed. Covariate-adjusted multivariate linear regression and path models were used to estimate the effects of victimization and covariates on income and prestige levels and on income and prestige trajectories. After each participant turned 18, their annual 2002 Census job code was assigned a yearly prestige score based on the 1989 General Social Survey, and their annual income was calculated via self-reports. Occupational prestige and annual income are time-varying variables measured from 1999–2009. Victimization effects were tested for moderation by sex, race, and ethnicity in the multivariate models. Results Approximately half of our sample reported at least one instance of childhood victimization before the age of 18. Major findings include 1) childhood victimization resulted in slower income and prestige growth over time, and 2) mediation analyses suggested that this slower prestige and earnings arose because victims did not get the same amount of education as non-victims. Conclusions Results indicated that the consequences of victimization negatively affected economic success throughout young adulthood, primarily by slowing the growth in prosperity due to lower education levels

Arthritis, Occupational Class, and the Aging US Workforce

Objectives. The working poor sometimes delay retirement to survive. However, their higher risk of disease and disability threatens both their financial survival and their ability to work through the retirement years. We used the burden of disease attributable to arthritis by occupational class to illustrate the challenges faced by the older poor. Methods. We merged data from the National Health Interview Survey, Medical Expenditure Panel Survey, and the National Death Index into a single database. We then calculated and compared age- and occupational class–specific quality-adjusted life years (QALYs) between workers with and without arthritis by using unabridged life tables. Results. White-collar workers have a higher overall health-related quality of life than do other workers, and suffer fewer QALYs lost to arthritis at all ages. For instance, whereas 65-year-old white-collar workers without arthritis look forward to 17 QALYs of future life, blue-collar workers with arthritis experience only 11, and are much less likely to remain in the workforce than are those in service, farming, or white-collar jobs. Conclusions. To meet the needs of the aging workforce, more extensive health and disability insurance will be needed

Security Monitoring System for a Bulk Foodstuff Transport Container

A security monitoring system provides for the secure transport of a bulk foodstuff container. The system includes an electromechanical locking mechanism allowing access by only authorized persons, a positional locator for determining the geographical position of the bulk foodstuff transport container, and a controller associated with the transport container. The controller controls operation of the electromechanical locking mechanism, stores data received from the electromechanical locking mechanism and the positional locator, and communicates with a remote data processor in near real time. A handheld user interface device is configured to control operation of the controller, to process and store data received from the controller, and to communicate with the remote data processor. Unique identifiers are provided for the bulk foodstuff transport container, the transport vehicle, any storage container from which or into which a bulk foodstuff is transferred, and any authorized operator of the security monitoring system

Prevalence of the Metabolic Syndrome Among U.S. Workers

This is the final version of the article. Available from American Diabetes Association via the DOI in this record.OBJECTIVE: Differences in the prevalence of cardiovascular disease (CVD) and its risk factors among occupational groups have been found in several studies. Certain types of workers (such as shift workers) may have a greater risk for metabolic syndrome, a precursor of CVD. The objective of this study was to assess the differences in prevalence and risk of metabolic syndrome among occupational groups using nationally representative data of U.S. workers. RESEARCH DESIGN AND METHODS: Data from 8,457 employed participants (representing 131 million U.S. adults) of the 1999-2004 National Health and Nutrition Examination Survey were used. Unadjusted and age-adjusted prevalence and simple and multiple logistic regression analyses were conducted, adjusting for several potential confounders (BMI, alcohol drinking, smoking, physical activity, and sociodemographic characteristics) and survey design. RESULTS: Of the workers, 20% met the criteria for the metabolic syndrome, with "miscellaneous food preparation and food service workers" and "farm operators, managers, and supervisors" having the greatest age-adjusted prevalence (29.6-31.1%) and "writers, artists, entertainers, and athletes," and "engineers, architects, scientists" the lowest (8.5-9.2%). In logistic regression analyses "transportation/material moving" workers had significantly greater odds of meeting the criteria for metabolic syndrome relative to "executive, administrative, managerial" professionals (odds ratio 1.70 [95% CI 1.49-2.52]). CONCLUSIONS: There is variability in the prevalence of metabolic syndrome by occupational status, with "transportation/material moving" workers at greatest risk for metabolic syndrome. Workplace health promotion programs addressing risk factors for metabolic syndrome that target workers in occupations with the greatest odds may be an efficient way to reach at-risk populations.This research was supported in part by the National Institute on Occupational Safety and Health (grant R01-0H-03915)

Sustained low influenza vaccination rates in US healthcare workers

A substantial morbidity and mortality burden attributable to the influenza virus is observed annually in the United States. Healthcare workers are an occupational group at increased risk of exposure, demonstrated to transmit influenza to their patient populations, and vital to the care of these patient populations. The prevention of the spread of the flu is a significant public health concern. In the present study, we examined influenza vaccination rates and their 5-year trends within the major occupational healthcare worker groups and compared them to non-Healthcare Workers

Young Adults, Mortality, and Employment

This study assessed the relationship between employment status and mortality over a two-year period among a nationally representative sample of young adults aged 18–24 years (n=121,478, representing over 21 million US young adults)

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Semantic segmentation of medical images aims to associate a pixel with a label in a medical image without human initialization. The success of semantic segmentation algorithms is contingent on the availability of high-quality imaging data with corresponding labels provided by experts. We sought to create a large collection of annotated medical image datasets of various clinically relevant anatomies available under open source license to facilitate the development of semantic segmentation algorithms. Such a resource would allow: 1) objective assessment of general-purpose segmentation methods through comprehensive benchmarking and 2) open and free access to medical image data for any researcher interested in the problem domain. Through a multi-institutional effort, we generated a large, curated dataset representative of several highly variable segmentation tasks that was used in a crowd-sourced challenge - the Medical Segmentation Decathlon held during the 2018 Medical Image Computing and Computer Aided Interventions Conference in Granada, Spain. Here, we describe these ten labeled image datasets so that these data may be effectively reused by the research community

Health Indicators Among Unemployed and Employed Young Adults

Research on the prevalence of health indicators by employment status among young US adults is limited. We analyzed data from a nationally representative sample of young adults aged 18 to 24 years to document the prevalence of five health behaviors (cigarette smoking, risky drinking, leisure-time physical activity, and fruit and French fries consumption) by employment status

Report of the Snowmass 2021 Topical Group on Lattice Gauge Theory

Lattice gauge theory continues to be a powerful theoretical and computational approach to simulating strongly interacting quantum field theories, whose applications permeate almost all disciplines of modern-day research in High-Energy Physics. Whether it is to enable precision quark- and lepton-flavor physics, to uncover signals of new physics in nucleons and nuclei, to elucidate hadron structure and spectrum, to serve as a numerical laboratory to reach beyond the Standard Model, or to invent and improve state-of-the-art computational paradigms, the lattice-gauge-theory program is in a prime position to impact the course of developments and enhance discovery potential of a vibrant experimental program in High-Energy Physics over the coming decade. This projection is based on abundant successful results that have emerged using lattice gauge theory over the years: on continued improvement in theoretical frameworks and algorithmic suits; on the forthcoming transition into the exascale era of high-performance computing; and on a skillful, dedicated, and organized community of lattice gauge theorists in the U.S. and worldwide. The prospects of this effort in pushing the frontiers of research in High-Energy Physics have recently been studied within the U.S. decadal Particle Physics Planning Exercise (Snowmass 2021), and the conclusions are summarized in this Topical Report.Comment: 57 pages, 1 figure. Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021). Topical Group Report for TF05 - Lattice Gauge Theor