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This study assessed the interrelation among domains of ethnic factors; the individual's sense of well-being; personality, attitudes, and behaviors; sibling and peer smoking; and adolescent smoking behavior. The sample consisted of 1,468 South African adolescents selected from 4 ethnic groups self-identified as defined by current South African usage: Black (mainly Zulu and Xhosa), Indian, White, and Colored (mixed ancestry). In accordance with family interactional theory, there was a sequence of patterning from ethnic factors and the individual's sense of well-being to adolescent personality, attitudes, and behaviors and models of smoking. All of the 4 domains in the model also had a direct effect on adolescent smoking behavior. The findings suggest 4 possible targets of therapeutic or preventive intervention with regard to adolescent smoking: ethnic factors; the individual's sense of well-being; personality, attitudes, and behaviors; and smoking within the peer group. [ABSTRACT FROM AUTHOR]

To examine the influence of ecological/cultural factors and family, personality, and peer factors present during early adolescence that influence marijuana use in late adolescence. A community sample of 2,226 Colombian adolescents living in mixed urban-rural communities and their mothers were interviewed in their homes by trained Colombian interviewers, first in 1995-1996 and then again 2 years later. The scales used were based on item intercorrelations and grouped into the following categories: (a) adolescent personality, (b) family traits, (c) peer factors, (d) ecological/cultural variables, and (e) marijuana use. Data were examined using hierarchical regression modeling to determine the relationship between each of the domains and late adolescent marijuana use. The findings supported the family interactional theory of adolescent drug use behavior and found that factors in all of the domains had a direct effect on late adolescent marijuana use as well as indirect effects mediated through the more proximal domains in the model. Of particular interest was the strength of the influence of the ecological/cultural factors, which far exceeded that observed in similar studies done in the United States. Owing to the similarity with findings from studies conducted in the United States, interventions designed domestically could effectively be directly applied to adolescents in Colombia. The findings also suggest that prevention programs designed specifically to target ecological or cultural factors may have the most profound influence for reducing marijuana use in late adolescence. [ABSTRACT FROM AUTHOR]

Abstract Background Social epidemiology seeks in part to understand how social factors--ideas, beliefs, attitudes, actions, and social connections--influence health. However, national health datasets have not kept up with the evolving needs of this cutting-edge area in public health. Sociological datasets that do contain such information, in turn, provide limited health information. Findings Our team has prospectively linked three decades of General Social Survey data to mortality information through 2008 via the National Death Index. In this paper, we describe the sample, the core elements of the dataset, and analytical considerations. Conclusions The General Social Survey-National Death Index (GSS-NDI), to be released publicly in October 2011, will help shape the future of social epidemiology and other frontier areas of public health research.

Prescribed fires (fires intentionally set for mitigation purposes) produce pollutants, which have negative effects on human and animal health. One of the pollutants produced from fires is fine particulate matter (PM 2.5 ). The Flint Hills (FH) region of Kansas experiences extensive prescribed burning each spring (March-May). Smoke from prescribed fires is often understudied due to a lack of monitoring in the rural regions where prescribed burning occurs, as well as the short duration and small size of the fires. Our goal was to attribute PM 2.5 concentrations to the prescribed burning in the FH. To determine PM 2.5 increases from local burning, we used low-cost PM 2.5 sensors (PurpleAir) and satellite observations. The FH were also affected by smoke transported from fires in other regions during 2022. We separated the transported smoke from smoke from fires in eastern Kansas. Based on data from the PurpleAir sensors, we found the 24-hr median PM 2.5 to increase by 3.0-5.3 μg m -3 (based on different estimates) on days impacted by smoke from fires in the eastern Kansas region compared to days unimpacted by smoke. The FH region was the most impacted by smoke PM 2.5 compared to other regions of Kansas, as observed in satellite products and in situ measurements. Additionally, our study found that hourly PM 2.5 estimates from a satellite-derived product aligned with our ground-based measurements. Satellite-derived products are useful in rural areas like the FH, where monitors are scarce, providing important PM 2.5 estimates., Competing Interests: The authors declare no conflicts of interest relevant to this study., (© 2024 The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union.)

Policy Points The Paycheck Plus randomized controlled trial tested a fourfold increase in the Earned Income Tax Credit (EITC) for single adults without dependent children over 3 years in New York and Atlanta. In New York, the intervention improved economic, mental, and physical health outcomes. In Atlanta, it had no economic benefit or impact on physical health and may have worsened mental health. In Atlanta, tax filing and bonus receipt were lower than in the New York arm of the trial, which may explain the lack of economic benefits. Lower mental health scores in the treatment group were driven by disadvantaged men, and the study sample was in good mental health., Context: The Paycheck Plus experiment examined the effects of an enhanced Earned Income Tax Credit (EITC) for single adults on economic and health outcomes in Atlanta, GA and New York City (NYC). The NYC study was completed two years prior to the Atlanta study and found mental and physical benefits for the subgroups that responded best to the economic incentives provided. In this article, we present the findings from the Atlanta study, in which the uptake of the treatment (tax filings and EITC bonus) were lower and economic and health benefits were not observed., Methods: Paycheck Plus Atlanta was an unblinded randomized controlled trial that assigned n = 3,971 participants to either the standard federal EITC (control group) or an EITC supplement of up to $2,000 (treatment group) for three tax years (2017-2019). Administrative data on employment and earnings were obtained from the Georgia Department of Labor and survey data were used to examine validated measures of health and well-being., Findings: In Atlanta, the treatment group had significantly higher earnings in the first project year but did not have significantly higher cumulative earnings than the control group overall (mean difference = $1,812, 95% CI = -150, 3,774, p = 0.07). The treatment group also had significantly lower scores on two measures of mental health after the intervention was complete: the Patient Health Questionnaire 8 (mean difference = 0.19, 95% CI = 0.06, 0.32, p = 0.005) and the Kessler 6 (mean difference = 0.15, 95% CI = 0.03, 0.27, p = 0.012). Secondary analyses suggested these results were driven by disadvantaged men, but the study sample was in good mental health., Conclusions: The EITC experiment in Atlanta was not associated with gains in earnings or improvements in physical or mental health., (© 2023 The Authors. The Milbank Quarterly published by Wiley Periodicals LLC on behalf of The Milbank Memorial Fund.)

Global medium-range weather forecasting is critical to decision-making across many social and economic domains. Traditional numerical weather prediction uses increased compute resources to improve forecast accuracy but does not directly use historical weather data to improve the underlying model. Here, we introduce GraphCast, a machine learning-based method trained directly from reanalysis data. It predicts hundreds of weather variables for the next 10 days at 0.25° resolution globally in under 1 minute. GraphCast significantly outperforms the most accurate operational deterministic systems on 90% of 1380 verification targets, and its forecasts support better severe event prediction, including tropical cyclone tracking, atmospheric rivers, and extreme temperatures. GraphCast is a key advance in accurate and efficient weather forecasting and helps realize the promise of machine learning for modeling complex dynamical systems.

Survey respondents who are non-attentive, respond randomly, or misrepresent who they are can impact the outcomes of surveys. Prior findings reported by the CDC have suggested that people engaged in highly dangerous cleaning practices during the COVID-19 pandemic, including ingesting household cleaners such as bleach. In our attempts to replicate the CDC's results, we found that 100% of reported ingestion of household cleaners are made by problematic respondents. Once inattentive, acquiescent, and careless respondents are removed from the sample, we find no evidence that people ingested cleaning products to prevent a COVID-19 infection. These findings have important implications for public health and medical survey research, as well as for best practices for avoiding problematic respondents in all survey research conducted online., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Litman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Aims: The purpose of this mixed-methods study was to investigate the effect of a first clinical experience on student perception of the importance of obtaining and assessing blood pressure (BP)., Methods: Fifty-eight students preparing for their first clinical experiences were recruited from three New York State physical therapy programs. Student experience obtaining BP during a first clinical experience was investigated using online anonymous surveys and focus groups. The pre survey was administered at 2 weeks before the first clinical experience, and a post survey and focus group were complete 3 weeks after., Results: Statistically significant decline was found in student perceptions of the importance and likelihood of obtaining and assessing BP following a first clinical experience. Qualitatively, three themes emerged (1) Being a student and agency including reluctance to independently initiate practices; (2) influence of clinic norms such as availability of equipment and consistency of BP monitoring; and (3) personal confidence obtaining, assessing, and interpreting BP influenced by exposure to obtaining, assessing, and interpreting BP., Conclusion: Clinical education appears to have significant influence on students' perception of the importance of BP assessment. If students encounter and adopt practices deviating from didactic instruction reflecting professional standards, it can expose patients and practitioners to unnecessary risk. Faculty can use these results to better appreciate students' first clinical experiences and foster agency by discussing practice norms.

Government encouragement of free markets is a highly effective means of fostering pharmaceutical innovation; the NIH, by including "free-market provisions" in its licensing agreements that discourage anti-competitive and research-impeding behavior, can do a great deal to support this goal even without legislative overhaul.

This study assesses distress and anxiety symptoms associated with quarantine due to COVID-19 exposure among the first quarantined community in the United States and identifies potential areas of intervention. All participants were directly or peripherally related to "patient 1,"-the first confirmed community-acquired case of COVID-19 in the New York Area. As such, this is a historically significant sample whose experiences highlight a transitional moment from a pre-pandemic to a pandemic period in the United States. In March 2020, an anonymous survey was distributed to 1,250 members of a NYC area community that was under community-wide quarantine orders due to the COVID-19 outbreak. Distress was measured using the Subjective Units of Distress Scale (SUDS) and symptoms of anxiety were measured using the Beck Anxiety Inventory (BAI). A variety of psychosocial predictors relevant to the current crisis were explored. Three hundred and three individuals responded within forty-eight hours of survey distribution. Mean levels of distress in the sample were heightened and sustained, with 69% reporting moderate to severe distress on the SUDS and 53% of the sample reported mild, moderate, or severe anxiety symptoms on the BAI. The greatest percentage of variance of distress and anxiety symptoms was accounted for by modifiable factors amenable to behavioral and psychological interventions., (© Copyright 2021 Springer Publishing Company, LLC.)

This study examines the effect and efficacy of visual designs for messages about poor air quality. The study utilized a 2 (message efficacy: high vs. low) × 2 (message design: visual vs. text) between-subjects experimental design, of N = 95 students from a large Western university. This experiment assessed the effects of message design and efficacy of language on students' visual comprehension, source credibility, self-efficacy, and protective behavioral intention. Hypotheses 1 and 2 were partially supported, finding that there were some statistically significant effects for efficacy and message design on students' comprehension and protective behavioral intention. Future work should focus on strategies for more salient air quality health communication because wildfires will continue to impact the western United States.

Objective: We investigated whether male high school students displaying high traditional masculinity (HTM), defined briefly as overacting male roles, possessed distinctive social origins and adult lifestyle trajectories differentiating them from others., Method: Based upon four survey waves of the National Longitudinal Study of Adolescent to Adult Health cross-linked to the National Death Index, we contrasted surveys 1 and 2 respondents reporting HTM, n = 3138, 31%, with the remaining 69% (n = 6849) on various sociodemographic characteristics, problem behaviors, suicides, and other premature mortalities., Results: High traditional masculinity males showed higher suicide rates, but no other differences in premature mortalities, compared with non-HTM peers. More likely to be White, younger, less close to their fathers, they were more likely to run away from home, get into fights, act delinquently, and engage in problem drinking and drug use. At survey wave 3, more had been arrested. By wave 4, when approaching their early thirties, HTM males showed higher drug uses, more delinquency, completed less schooling, and were less likely to marry., Conclusions: These data not only suggest higher suicide risks among this population after high school, but judging from the durability of HTM characteristics, but also they appear at risk of "deaths of despair" during later life., (© 2021 The American Association of Suicidology.)

The current study examined anxiety and distress among members of the first community to be quarantined in the USA due to the COVID-19 pandemic. In addition to being historically significant, the current sample was unusual in that those quarantined were all members of a Modern Orthodox Jewish community and were connected via religious institutions at which exposure may have occurred. We sought to explore the community and religious factors unique to this sample, as they relate to the psychological and public health impact of quarantine. Community organizations were trusted more than any other source of COVID-19-related information, including federal, state and other government agencies, including the CDC, WHO and media news sources. This was supported qualitatively with open-ended responses in which participants described the range of supports organized by community organizations. These included tangible needs (i.e., food delivery), social support, virtual religious services, and dissemination of COVID-19-related information. The overall levels of distress and anxiety were elevated and directly associated with what was reported to be largely inadequate and inconsistent health-related information received from local departments of health. In addition, the majority of participants felt that perception of or concern about future stigma related to a COVID-19 diagnosis or association of COVID-19 with the Jewish community was high and also significantly predicted distress and anxiety. The current study demonstrates the ways in which religious institutions can play a vital role in promoting the well-being of their constituents. During this unprecedented pandemic, public health authorities have an opportunity to form partnerships with religious institutions in the common interests of promoting health, relaying accurate information and supporting the psychosocial needs of community members, as well as protecting communities against stigma and discrimination.

Background: Past studies have repeatedly shown higher suicidal thoughts and attempts among sexual minority members, yet have remained opaque on whether these groups are more prone to taking their own lives. Aims: This short report focuses on suicide deaths among sexual minority members. Method: We utilized two large-scale surveys: one, among adults, the updated Cumulative General Social Surveys, and the other, among adolescents, The National Longitudinal Study of Adolescent Health (Add Health), where respondents' data were cross-linked to National Death Index death records. Results: Results confirmed pre-existent findings showing elevated suicide rates among sexual minority females but not among sexual minority males. Limitations: The shortfall of female adolescent suicides in the Add Health sample prevented us from examining the question of female sexual minority suicides within this population. Conclusion: Although ample evidence demonstrates higher suicidal thoughts and attempts among sexual minority males, three studies presently do not confirm their greater propensity to die by suicide, compared with heterosexual males; yet, for sexual minority females the evidence is steadily mounting showing their greater suicide risks.

Studies of the gender pay gap are seldom able to simultaneously account for the range of alternative putative mechanisms underlying it. Using CloudResearch, an online microtask platform connecting employers to workers who perform research-related tasks, we examine whether gender pay discrepancies are still evident in a labor market characterized by anonymity, relatively homogeneous work, and flexibility. For 22,271 Mechanical Turk workers who participated in nearly 5 million tasks, we analyze hourly earnings by gender, controlling for key covariates which have been shown previously to lead to differential pay for men and women. On average, women's hourly earnings were 10.5% lower than men's. Several factors contributed to the gender pay gap, including the tendency for women to select tasks that have a lower advertised hourly pay. This study provides evidence that gender pay gaps can arise despite the absence of overt discrimination, labor segregation, and inflexible work arrangements, even after experience, education, and other human capital factors are controlled for. Findings highlight the need to examine other possible causes of the gender pay gap. Potential strategies for reducing the pay gap on online labor markets are also discussed., Competing Interests: We have read the journal's policy and the authors of this manuscript have the following potential competing interest: Several of the authors are employed at Cloud Research (previously TurkPrime), the database from which the data were queried. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Objective: We investigated whether high school students reporting easy access to guns were more likely to die prematurely from either suicide, homicide, or an accidental death., Method: Based upon the National Longitudinal Study of Adolescent to Adult Health, we contrasted those reporting easy access to guns, n = 5,185, 25%, with the remaining 75% (n = 15,589) on various sociodemographic characteristics, behaviors, and premature mortalities., Results: We found higher rates of suicides, homicides, and accidental deaths among those reporting easy access to guns at Wave 1 or Wave 2. This was only true for males. Those with easy access to guns were more likely to share common sociodemographic characteristics, came from two-parent homes where children had strong and close relationships with parents, where children were more likely to get into fights, do delinquent misdeeds, and engage in other risk-taking behaviors such as increased drinking, drug use, and riding motorcycles. Logistic regression analysis showed easy access to guns remained a significant predictor of premature mortalities when sex, family income differences, risk-taking, and delinquency were used as covariates., Conclusions: This study supports previous research and carves out new ground showing easy access to guns acts synergistically with other lifestyle differences to diminish youth life chances., (© 2019 The American Association of Suicidology.)

A convex code is a binary code generated by the pattern of intersections of a collection of open convex sets in some Euclidean space. Convex codes are relevant to neuroscience as they arise from the activity of neurons that have convex receptive fields. In this paper, we use algebraic methods to determine if a code is convex. Specifically, we use the neural ideal of a code, which is a generalization of the Stanley-Reisner ideal . Using the neural ideal together with its standard generating set, the canonical form , we provide algebraic signatures of certain families of codes that are non-convex. We connect these signatures to the precise conditions on the arrangement of sets that prevent the codes from being convex. Finally, we also provide algebraic signatures for some families of codes that are convex, including the class of intersection-complete codes . These results allow us to detect convexity and non-convexity in a variety of situations, and point to some interesting open questions.

Counting is a fundamental task in biomedical imaging and count is an important biomarker in a number of conditions. Estimating the uncertainty in the measurement is thus vital to making definite, informed conclusions. In this paper, we first compare a range of existing methods to perform counting in medical imaging and suggest ways of deriving predictive intervals from these. We then propose and test a method for calculating intervals as an output of a multi-task network. These predictive intervals are optimised to be as narrow as possible, while also enclosing a desired percentage of the data. We demonstrate the effectiveness of this technique on histopathological cell counting and white matter hyperintensity counting. Finally, we offer insight into other areas where this technique may apply.

Supervised learning algorithms trained on medical images will often fail to generalize across changes in acquisition parameters. Recent work in domain adaptation addresses this challenge and successfully leverages labeled data in a source domain to perform well on an unlabeled target domain. Inspired by recent work in semi-supervised learning we introduce a novel method to adapt from one source domain to n target domains (as long as there is paired data covering all domains). Our multi-domain adaptation method utilises a consistency loss combined with adversarial learning. We provide results on white matter lesion hyperintensity segmentation from brain MRIs using the MICCAI 2017 challenge data as the source domain and two target domains. The proposed method significantly outperforms other domain adaptation baselines.

Objective: The New Rural Cooperative Medical Scheme (NCMS) is a universal healthcare coverage plan now covering over 98% of rural residents in China, first implemented in 2003. Rising costs in the face of modest gains in health and financial protections have raised questions about the cost-effectiveness of the NCMS., Methods: Using the most recent estimates of the NCMS's health and economic consequences from a comprehensive review of the literature, we conducted a cost-effectiveness analysis using a Markov model for a hypothetical cohort between ages 20 and 100. We then did one-way sensitivity analyses and a probabilistic sensitivity analysis using Monte Carlo simulations to explore whether the incremental cost-effectiveness ratio (ICER) falls below 37,059 international dollars [Int$], the willingness-to-pay (WTP) threshold of three times per capita GDP of China in 2013., Findings: The ICER of the NCMS over the lifetime of an average 20-year-old rural resident in China was about Int$71,480 per quality-adjusted life year (QALY) gained (95% confidence interval: cost-saving, Int$845,659/QALY). There was less than a 33% chance that the system was cost-saving or met the WTP threshold. However, the NCMS did fall under the threshold when changes in the program costs, the risk of mortality and hypertension, and the likelihood of labor force participation were tested in one-way sensitivity analyses., Conclusion: The NCMS appears to be economically inefficient in its current form. Further cost-effectiveness analyses are warranted in designing insurance benefit packages to ensure that the NCMS fund goes toward health care that has a good value in improving survival and quality of life., Competing Interests: The authors have declared that no competing interests exist.

The sample frequency spectrum (SFS), which describes the distribution of mutant alleles in a sample of DNA sequences, is a widely used summary statistic in population genetics. The expected SFS has a strong dependence on the historical population demography and this property is exploited by popular statistical methods to infer complex demographic histories from DNA sequence data. Most, if not all, of these inference methods exhibit pathological behavior, however. Specifically, they often display runaway behavior in optimization, where the inferred population sizes and epoch durations can degenerate to zero or diverge to infinity, and show undesirable sensitivity to perturbations in the data. The goal of this article is to provide theoretical insights into why such problems arise. To this end, we characterize the geometry of the expected SFS for piecewise-constant demographies and use our results to show that the aforementioned pathological behavior of popular inference methods is intrinsic to the geometry of the expected SFS. We provide explicit descriptions and visualizations for a toy model, and generalize our intuition to arbitrary sample sizes using tools from convex and algebraic geometry. We also develop a universal characterization result which shows that the expected SFS of a sample of size n under an arbitrary population history can be recapitulated by a piecewise-constant demography with only [Formula: see text] epochs, where [Formula: see text] is between [Formula: see text] and [Formula: see text] The set of expected SFS for piecewise-constant demographies with fewer than [Formula: see text] epochs is open and nonconvex, which causes the above phenomena for inference from data., (Copyright © 2018 by the Genetics Society of America.)

The present study has three objectives (1) to examine whether there are differences in cleanliness concerns between African Americans and European Americans toward kitchen items that are known to be vectors of disease, (2) to examine whether disparities in cleanliness attitudes have an impact on purchasing attitudes toward kitchen cleaning products, and (3) to explore the mechanisms that may account for these differences utilizing a serial mediation model. Five hundred participants, 50% African American and 50% European American were shown a picture of a sponge cleaning product and filled out multiple survey instruments relating to cleanliness attitudes. We found greater concern with cleanliness of kitchen items (d = .46) and a greater willingness to purchase cleaning products among African Americans compared to European Americans (17 vs 10%). A serial mediation analysis revealed that general cleanliness concerns account for the increased willingness to spend money on cleaning products among African Americans. These results suggest that African Americans are more sensitive to issues of cleanliness compared to European Americans and, in particular, are more sensitive to cleanliness of kitchen items such as sponges, which can be vectors of food-borne pathogens. Potential reasons for the observed racial disparities in cleanliness attitudes and the implications of these results for public health are discussed.

Background: Vehicle speed changes impact the probability of injuring a pedestrian in ways that differ from the way that it impacts the probability of a collision or of death. Therefore, return on investment in speed reduction programmes has complex and unpredictable manifests. The objective of this study is to analyse the impact of motor vehicle speed reduction on the collision-related morbidity and mortality rates of urban pedestrians., Methods and Findings: We created a simple way to estimate the public health impacts of traffic speed changes using a Markov model. Our outcome measures include the cost of injury, quality-adjusted life years (QALYs) gained and probability of death and injury due to a road traffic collision. Our two-way sensitivity analysis of speed, both before the implementation of a speed reduction programme and after, shows that, due to key differences in the probability of injury compared with the probability of death, speed reduction programmes may decrease the probability of death while leaving the probability of injury unchanged. The net result of this difference may lead to an increase in injury costs due to the implementation of a speed reduction programme. We find that even small investments in speed reductions have the potential to produce gains in QALYs., Conclusions: Our reported costs, effects and incremental cost-effectiveness ratios may assist urban governments and stakeholders to rethink the value of local traffic calming programmes and to implement speed limits that would shift the trade-off to become between minor injuries and no injuries, rather than severe injuries and fatalities., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background and Objectives: Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms are flexible but do not provide specific functionality for medical image analysis and adapting them for this domain of application requires substantial implementation effort. Consequently, there has been substantial duplication of effort and incompatible infrastructure developed across many research groups. This work presents the open-source NiftyNet platform for deep learning in medical imaging. The ambition of NiftyNet is to accelerate and simplify the development of these solutions, and to provide a common mechanism for disseminating research outputs for the community to use, adapt and build upon., Methods: The NiftyNet infrastructure provides a modular deep-learning pipeline for a range of medical imaging applications including segmentation, regression, image generation and representation learning applications. Components of the NiftyNet pipeline including data loading, data augmentation, network architectures, loss functions and evaluation metrics are tailored to, and take advantage of, the idiosyncracies of medical image analysis and computer-assisted intervention. NiftyNet is built on the TensorFlow framework and supports features such as TensorBoard visualization of 2D and 3D images and computational graphs by default., Results: We present three illustrative medical image analysis applications built using NiftyNet infrastructure: (1) segmentation of multiple abdominal organs from computed tomography; (2) image regression to predict computed tomography attenuation maps from brain magnetic resonance images; and (3) generation of simulated ultrasound images for specified anatomical poses., Conclusions: The NiftyNet infrastructure enables researchers to rapidly develop and distribute deep learning solutions for segmentation, regression, image generation and representation learning applications, or extend the platform to new applications., (Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.)

Primary and nonprimary cerebral cortex mature along different timescales; however, the differences between the rates of maturation of primary and nonprimary cortex are unclear. Cortical maturation can be measured through changes in tissue microstructure detectable by diffusion magnetic resonance imaging (MRI). In this study, diffusion tensor imaging (DTI) was used to characterize the maturation of Heschl's gyrus (HG), which contains both primary auditory cortex (pAC) and nonprimary auditory cortex (nAC), in 90 preterm infants between 26 and 42 weeks postmenstrual age (PMA). The preterm infants were in different acoustical environments during their hospitalization: 46 in open ward beds and 44 in single rooms. A control group consisted of 15 term-born infants. Diffusion parameters revealed that (1) changes in cortical microstructure that accompany cortical maturation had largely already occurred in pAC by 28 weeks PMA, and (2) rapid changes were taking place in nAC between 26 and 42 weeks PMA. At term equivalent PMA, diffusion parameters for auditory cortex were different between preterm infants and term control infants, reflecting either delayed maturation or injury. No effect of room type was observed. For the preterm group, disturbed maturation of nonprimary (but not primary) auditory cortex was associated with poorer language performance at age two years.

Vision Zero (VZ) is a public program that aims to have zero fatalities or serious injuries from road traffic crashes. This article examines various major components of VZ: how VZ redefines road safety, how VZ principles and philosophies can be applied to modern car and road designs, and how VZ can be applied to traffic. Applications of these principles to real-world traffic infrastructure are explored in order to show policymakers the toolkits available to increase road safety while taking into consideration local contexts.

Preterm birth disrupts and alters the complex developmental processes in the cerebral cortex. This disruption may be a contributing factor to widespread delay and cognitive difficulties in the preterm population. Diffusion-weighted magnetic resonance imaging (DW MRI) is a noninvasive imaging technique that makes inferences about cellular structures, at scales smaller than the imaging resolution. One established finding is that DW MRI shows a transient radial alignment in the preterm cortex. In this study, we quantify this maturational process with the "radiality index", a parameter that measures directional coherence, which we expect to change rapidly in the perinatal period. To measure this index, we used structural T 2 -weighted MRI to segment the cortex and generate cortical meshes. We obtained normal vectors for each face of the mesh and compared them to the principal diffusion direction, calculated by both the DTI and DIAMOND models, to generate the radiality index. The subjects included in this study were 89 infants born at fewer than 34 weeks completed gestation, each imaged at up to four timepoints between 27 and 42 weeks gestational age. In this manuscript, we quantify the longitudinal trajectory of radiality, fractional anisotropy and mean diffusivity from the DTI and DIAMOND models. For the radiality index and fractional anisotropy, the DIAMOND model offers improved sensitivity over the DTI model. The radiality index has a consistent progression across time, with the rate of change depending on the cortical lobe. The occipital lobe changes most rapidly, and the frontal and temporal least: this is commensurate with known developmental anatomy. Analysing the radiality index offers information complementary to other diffusion parameters., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Depression is under-diagnosed and under-treated in most areas of the US. New York City is currently looking to close gaps in identifying and treating depression through the adoption of a screening and collaborative care model deployed throughout the city., Methods: We examine the cost-effectiveness of universal two-stage screening with the 2- and 9-item Patient Health Questionnaires (PHQ-2 and PHQ-9) in New York City followed by collaborative care for those who screen positive. We conducted microsimulations on hypothetical adult participants between ages 20 and 70., Results: The incremental cost-effectiveness of the interventions over the average lifespan of a 20-year-old adult in NYC is approximately $1,726/QALY gained (95% plausible interval: cost-saving, $10,594/QALY gained)., Conclusions: Two-stage screening coupled with collaborative care for depression in the clinical setting appears to be significantly less expensive than most clinical preventive interventions, such as HIV screening in high-risk patients. However, effectiveness is dependent on the city's ability to manage scale up of collaborative care models.

Using longitudinal data spanning a 7-year period, we investigated the behavioral and psycho-social effects resulting from a parent's death during early childhood or teenage years on adolescent and early adulthood functioning. Findings confirmed previous work demonstrating various behavioral problems and social-psychological adjustment deficits during adolescence. Results suggested that most detrimental adjustment behaviors among parentally bereaved youth fade as they entered into young adulthood. Yet, premature school withdrawals and diminished interests in college attendance at Wave 1 left many of these young adults with diminished academic accomplishments, lingering economic disadvantages and for females a hesitancy to marry as their lives progressed into adulthood.

We evaluated whether Nurse-Family Partnership might serve as a cost-effective social policy for improving health. Using data from studies of randomized controlled trials as well as real-world data, we conducted a Monte Carlo simulation to estimate cost-effectiveness of Nurse-Family Partnership in a hypothetical cohort of first-born children in the United States. Analyses were conducted in 2015. Were all new mothers eligible for Nurse-Family Partnership, the program would produce 0.11 QALYs (95% confidence interval [CI]=0.06, 0.17) at an additional cost of $1,021 (95% CI=-$2,831, $4,414) per nurse-visited child's lifetime relative to the comparison-group children or $14,642 (95% CI = Savings, $71,877) per QALY gained. However, if applied to high-risk mothers, it would generate 0.19 QALYs (95% CI = 0.09, 0.44) and a net benefit of $2,764 (95% CI =-$1,210, $7,092) per nurse-visited child. Nurse-Family Partnership should be considered as a policy investment, particularly in an era of investments in the social determinants of health.

Introduction: Lower-income Americans are suffering from declines in income, health, and longevity over time. Income and employment policies have been proposed as a potential non-medical solution to this problem., Methods: An interrupted time series analysis of state-level incremental supplements to the Earned Income Tax Credit (EITC) program was performed using data from 1993 to 2010 Behavioral Risk Factor Surveillance System surveys and state-level life expectancy. The cost effectiveness of state EITC supplements was estimated using a microsimulation model, which was run in 2015., Results: Supplemental EITC programs increased health-related quality of life and longevity among the poor. The program costs about $7,786/quality-adjusted life-year gained (95% CI=$4,100, $13,400) for the average recipient. This ratio increases with larger family sizes, costing roughly $14,261 (95% CI=$8,735, $19,716) for a family of three., Conclusions: State supplements to EITC appear to be highly cost effective, but randomized trials are needed to confirm these findings., (Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Unlabelled: Utilizing Add Health longitudinal data, we compared 21 male suicide casualties to 10,101 living respondents identifying suicide correlates., Method: 21 suicide decedents completed surveys in 1994/1995 (Wave 1) and 11 completed at Wave 3; responses were compared with Chi-square and oneway ANOVA tests., Results: Suicide decedents were prone to higher delinquency and fighting at Wave 1, but not at Wave 3. At Wave 1 suicide decedents remained undistinguished from living respondents in depression, self-esteem, and drug uses. Yet, after Wave 3, the 11 respondents dying by suicide showed significantly higher depression, drug use and lower self-esteem., Conclusion: Delinquency trends can readily understood, but more complex causes are needed to account for unexpected changes in self-esteem, depression and drug uses.

Infants born prematurely are at increased risk of adverse neurodevelopmental outcome. The measurement of white matter tissue composition and structure can help predict functional performance. Specifically, measurements of myelination and indicators of myelination status in the preterm brain could be predictive of later neurological outcome. Quantitative imaging of myelin could thus serve to develop biomarkers for prognosis or therapeutic intervention; however, accurate estimation of myelin content is difficult. This work combines diffusion MRI and multi-component T2 relaxation measurements in a group of 37 infants born very preterm and scanned between 27 and 58 weeks equivalent gestational age. Seven infants have longitudinal data at two time points that we analyze in detail. Our aim is to show that measurement of the myelin water fraction is achievable using widely available pulse sequences and state-of-the-art algorithmic modeling of the MR imaging procedure and that a multi-component fitting routine to multi-shell diffusion weighted data can show differences in neurite density and local spatial arrangement in grey and white matter. Inference on the myelin water fraction allows us to demonstrate that the change in diffusion properties of the preterm thalamus is not solely due to myelination (that increase in myelin content accounts for about a third of the observed changes) whilst the decrease in the posterior white matter T2 has no significant component that is due to myelin water content. This work applies multi-modal advanced quantitative neuroimaging to investigate changing tissue properties in the longitudinal setting. Hum Brain Mapp 37:2479-2492, 2016. © 2016 Wiley Periodicals, Inc., (© 2016 Wiley Periodicals, Inc.)

This study was based on a sample of male high school students who completed National Longitudinal Adolescent Health Surveys in 1994, 1995, and 2001. We studied these students prospectively, comparing those who later died by suicide (n = 21) with those who were still living (n = 10,101). We employed chi-square and analysis of variance tests for statistical significance between suicide decedents and living respondents. Results showed suicide decedents were more likely to have experienced the suicide loss of another family member, to have been expelled from school, to have engaged in more delinquent actions including fighting, and to have greater involvement with the criminal justice system. Although one might have expected suicide casualties to have exhibited a greater amount of suicidal thoughts, attempts, and higher incidences of suicidality among their friends, our analyses did not find that these factors were associated with actual suicides. Should these findings be replicated, this would point to a need to refine youth suicide risk assessments. Collecting life histories, as well as identifying patterns of delinquency and fighting, may serve as more potentially fruitful means for assessing genuine suicide risk than some traditional risk assessment methods.z., (© 2015 The American Association of Suicidology.)

Steady-state analysis of dynamical systems for biological networks gives rise to algebraic varieties in high-dimensional spaces whose study is of interest in their own right. We demonstrate this for the shuttle model of the Wnt signaling pathway. Here, the variety is described by a polynomial system in 19 unknowns and 36 parameters. It has degree 9 over the parameter space. This case study explores multistationarity, model comparison, dynamics within regions of the state space, identifiability, and parameter estimation, from a geometric point of view. We employ current methods from computational algebraic geometry, polyhedral geometry, and combinatorics.