Terminated source material licenses from docket files of the Nuclear Regulatory Commission (NRC) have been evaluated with respect to the potential for residual radiological health problems. Some 8,275 source material docket files were sent from the Federal Repository for NRC to Oak Ridge National Laboratory for evaluation. An NRC printed inventory of terminated source material licenses was sent separately and input to a computer file for ready access. The files were inventoried and a methodology was developed for evaluation of these files. The methodology included development of a combined analysis/computer input form. Pertinent data were abstracted from each file, placed on this form, and entered into a separate private-access computer file. At the same time, analysts using screening criteria made a preliminary categorization of the files. All files categorized initially as potential radiological health problems were reviewed in depth to arrive at a final categorization. Criteria for judgment included quantities of source material (uranium and/or thorium) going to and leaving the site in question during the operational lifetime of the site, disposition of source material not leaving the site, types of operations carried on at the site during the licensed period, and the physicochemical forms of products and wastes involved.more » In the final analysis, 193 dockets were identified as having potential for residual radiological health problems.« less
We sought to examine demographic, socioeconomic, and biological predictors of all-cause, cardiovascular, and noncardiovascular mortality in patients with diabetes.Survey, medical record, and administrative data were obtained from 8,733 participants in the Translating Research Into Action for Diabetes Study, a multicenter, prospective, observational study of diabetes care in managed care. Data on deaths (n = 791) and cause of death were obtained from the National Death Index after 4 years. Predictors examined included age, sex, race, education, income, duration, and treatment of diabetes, BMI, smoking, microvascular and macrovascular complications, and comorbidities.Predictors of adjusted all-cause mortality included older age (hazard ratio [HR] 1.04 [95% CI 1.03-1.05]), male sex (1.57 [1.35-1.83]), lower income (< $15,000 vs. > $75,000, HR 1.82 [1.30-2.54]; $15,000-$40,000 vs. > $75,000, HR 1.58 [1.15-2.17]), longer duration of diabetes (> or = 9 years vs. < 9 years, HR 1.20 [1.02-1.41]), lower BMI (< 26 vs. 26-30 kg/m2, HR 1.43 [1.13-1.69]), smoking (1.44 [1.20-1.74]), nephropathy (1.46 [1.23-2.73]), macrovascular disease (1.46 [1.23-1.74]), and greater Charlson index (> or = 2-3 vs. < 1, HR 2.01 [1.04-3.90]; > or = 3 vs. < 1, HR 4.38 [2.26-8.47]). The predictors of cardiovascular and noncardiovascular mortality were different. Macrovascular disease predicted cardiovascular but not noncardiovascular mortality.Among people with diabetes and access to medical care, older age, male sex, smoking, and renal disease are important predictors of mortality. Even within an insured population, socioeconomic circumstance is an important independent predictor of health.
Obesity is prevalent among a third of US adults and a leading indicator for many chronic diseases. Self-efficacy is important for non-surgical weight loss interventions, but there is less information about the role of self-efficacy in the candidacy phase when there are discussions of side effects and decisions for uptake. This study conducted an experiment set within an online survey assessing risk aversion towards bariatric surgery as a weight loss intervention. The survey asked about hypothetical weight loss scenarios for bariatric surgery among a national probability-based sample of US adults aged 18 years and older. Participants answered their willingness to achieve different weight loss amounts within the context of bariatric surgery in varying risk scenarios. The analysis utilized a repeated-measures linear mixed model. A three-way interaction demonstrated that participants were more willing to take risks under ideal weight loss conditions even with the risk of death, particularly when considering self-efficacy (훽 = 1.20, P = .05). Margin projections showed that those with lower self-efficacy were more likely to take risks overall. This trend was significant for those with a body mass index of 30 and above in scenarios presenting one's ideal weight as the outcome of bariatric surgery. Adding a measure of self-efficacy within patient assessments could identify those eligible patients who are most likely to adopt bariatric surgery, particularly among those who may have negative post-surgical outcomes due to low self-efficacy levels. Addressing self-efficacy by way of providing support resources in tandem with candidacy consultations may enhance quality of life and post-surgical outcomes.
Over the past eight years, there has been an increase in the use of pay for success (PFS) as a financing tool whereby private investors provide initial funding for preventive health and human service interventions. If an independent evaluator deems the interventions successful, investors are repaid by the government. To better understand how PFS is used, we created a global landscape surveillance system to track and analyze data on all PFS projects that have launched through 2017. We focus on the potential for PFS to improve population health by funding interventions that target the social determinants of health. Our findings show that all launched projects to date have implemented interventions aimed at improving the structural and intermediary social determinants of health, primarily in socioeconomically disadvantaged populations. Although there are some challenges associated with PFS, we believe it is a promising tool for financing interventions aimed at social determinants of health in underserved and marginalized populations.
The extent to which the State Children's Health Insurance Program (SCHIP) crowds our private insurance is poorly understood.To assess the incidence of crowd-out and enrollee characteristics associated with crowd-out.Parent telephone survey for 2,644 children after enrollment in NY SCHIP. MEASURES AND ANALYSES: Crowd-out is measured based on enrollee reports of coverage (and loss of coverage) before SCHIP. Multivariate logistic regression is used to relate crowd-out to enrollee characteristics.Only 7.1 percent of SCHIP enrollees dropped private coverage < or =6 months before SCHIP, suggesting relatively modest crowd-out. Crowd-out was associated with some enrollee traits including income, but not with health status.Most movement from private to public insurance in NY was not crowd-out. Under current program structure in NY, crowd-out concerns should not dampen enthusiasm for SCHIP.
This article overviews previously published and ongoing research from the Americans' Changing Lives (ACL) Study, a longitudinal study of a nationally representative sample of 3,617 adults aged 25 years and older when first interviewed in 1986, focusing on socioeconomic disparities in the way health changes with age during middle and later life, especially in terms of compression of morbidity/functional limitations.A variety of descriptive and multivariate regression and growth curve analyses are done on the ACL sample, now surveyed over four waves spanning 15.5 years between 1986 and 2001/2002 with continuing mortality ascertainment via the National Death Index, death certificate searches, and informant reports.Both cross-sectional and longitudinal analyses indicate that socioeconomic disparities in health are small in early adulthood, increase through middle and early old age, and then lessen again in later old age. In other terms, compression of morbidity/functional limitations into the later stages of the life course is realized to a much greater degree among the better educated compared with the less educated. Cross-sectional evidence suggests that this reflects differential exposure to or experience of a wide range of psychosocial, environmental, and biomedical risk factors for health (and perhaps their differential impact at different ages and life stages), as well as variations in biological robustness and frailty and also perhaps in the strength of social welfare supports for health at different life stages. Longitudinal analyses reveal several new insights: (a) The flow of causality is much greater from socioeconomic position to health than vice versa; (b) education plays a greater role relative to income in the onset of functional limitations, whereas income has much stronger effects on their progression or course; and (c) educational disparities in the onset and hence of compression of functional limitations over the life course have increased strikingly in later middle and early old age (ages 55-84 years) since 1986.The results indicate that understanding and alleviating social disparities in health are both theoretically and methodologically quintessential problems of life course analysis and research.
