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Communities need to implement adaptation strategies to prepare for the challenges posed by rising sea levels. In the U.S., federal funding will be required to support coastal communities’ adaptation, yet little is known about what the general public thinks about different sea-level rise adaptation strategies. In two studies, we investigated how support for different broad categories of adaptation strategies (managed retreat, resistance, accommodation, rebuilding in place) varied among Americans. We hypothesized that perceiver characteristics (e.g., political ideology) and the framing of community characteristics (risk and resilience) would predict support for adaptation. In Study 1 (N = 368), we asked participants to report their strategy preferences for a community in their own locale, then randomly assigned them to read about a hypothetical community which varied in terms of risk and resilience. People were much more willing to support adaptation strategies in high-risk communities. Strategy support was predicted by political ideology, eminent domain beliefs, and climate change concern. In Study 2 (N = 1048), we sought to extend our findings by collecting data from a nationally representative sample. We manipulated community framings of social capital and resources, but these framings related to resilience had little effect on strategy support. However, perceiver characteristics mattered, for instance, eminent domain endorsement predicted support for managed retreat. Across both studies, participants supported adaptation and opposed rebuilding without changes. We describe the ways these findings might be used by policymakers, and the implications of the research for communicators. [ABSTRACT FROM AUTHOR]

Traumatic brain injury (TBI) and repetitive head impacts can result in a wide range of neurological symptoms. Despite being the most common neurological disorder in the world, repeat head impacts and TBI do not have any FDA-approved treatments. Single neuron modeling allows researchers to extrapolate cellular changes in individual neurons based on experimental data. We recently characterized a model of high frequency head impact (HFHI) with a phenotype of cognitive deficits associated with decreases in neuronal excitability of CA1 neurons and synaptic changes. While the synaptic changes have been interrogated in vivo, the cause and potential therapeutic targets of hypoexcitability following repetitive head impacts are unknown. Here, we generated in silico models of CA1 pyramidal neurons from current clamp data of control mice and mice that sustained HFHI. We use a directed evolution algorithm with a crowding penalty to generate a large and unbiased population of plausible models for each group that approximated the experimental features. The HFHI neuron model population showed decreased voltage gated sodium conductance and a general increase in potassium channel conductance. We used partial least squares regression analysis to identify combinations of channels that may account for CA1 hypoexcitability after HFHI. The hypoexcitability phenotype in models was linked to A- and M-type potassium channels in combination, but not by any single channel correlations. We provide an open access set of CA1 pyramidal neuron models for both control and HFHI conditions that can be used to predict the effects of pharmacological interventions in TBI models. [ABSTRACT FROM AUTHOR]

Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied heavily in the past years. Model interpretation and domain drift have been the main road blocks for clinical utilization. As an extension from our previous work we trained on a public cohort with 201 patients and the cropped 2.5D slices of the prostate glands were used as the input, and the optimal model were searched in the model space using autoKeras. As an innovative move, peripheral zone (PZ) and central gland (CG) were trained and tested separately, the PZ detector and CG detector were demonstrated effective in highlighting the most suspicious slices out of a sequence, hopefully to greatly ease the workload for the physicians. [ABSTRACT FROM AUTHOR]

The extent to which Americans—especially Republicans—believe in anthropogenic climate change (ACC) has recently been the subject of high profile academic and popular disagreement. We offer a novel framework, and experimental data, for making sense of this debate. Using a large (N = 7,019) and demographically diverse sample of US adults, we compare several widely used methods for measuring belief in ACC. We find that seemingly trivial decisions made when constructing questions can, in some cases, significantly alter the proportion of the American public who appear to believe in human-caused climate change. Critically, we find that some common measurement practices may nearly double estimates of Republicans' acceptance of human-caused climate change. We conclude by discussing how this work can help improve the consumption of research on climate opinion. [ABSTRACT FROM AUTHOR]

Xylella fastidiosa is an important plant pathogen that attacks several plants of economic importance. Once restricted to the Americas, the bacterium, which causes olive quick decline syndrome, was discovered near Lecce, Italy in 2013. Since the initial outbreak, it has invaded 23,000 ha of olives in the Apulian Region, southern Italy, and is of great concern throughout Mediterranean basin. Therefore, predicting its spread and estimating the efficacy of control are of utmost importance. As data on this invasive infectious disease are poor, we have developed a spatially-explicit simulation model for X. fastidiosa to provide guidance for predicting spread in the early stages of invasion and inform management strategies. The model qualitatively and quantitatively predicts the patterns of spread. We model control zones currently employed in Apulia, showing that increasing buffer widths decrease infection risk beyond the control zone, but this may not halt the spread completely due to stochastic long-distance jumps caused by vector dispersal. Therefore, management practices should aim to reduce vector long-distance dispersal. We find optimal control scenarios that minimise control effort while reducing X. fastidiosa spread maximally-suggesting that increasing buffer zone widths should be favoured over surveillance efforts as control budgets increase. Our model highlights the importance of non-olive hosts which increase the spread rate of the disease and may lead to an order of magnitude increase in risk. Many aspects of X. fastidiosa disease invasion remain uncertain and hinder forecasting; we recommend future studies investigating quantification of the infection growth rate, and short and long distance dispersal. [ABSTRACT FROM AUTHOR]

Background: Anxiety disorders affect approximately 19 million American adults annually and have been associated with impaired health-related quality of life (HRQOL), an increased rate of adverse health behaviors, and poor outcomes related to chronic illness in studies conducted in clinical populations. Our study was designed to examine the association of self-reported anxiety symptoms with HRQOL and health behaviors among a representative sample of US community-dwellers.Methods: Data were obtained from the Behavioral Risk Factor Surveillance System,an ongoing, state-based, random-digit telephone survey of the noninstitutionalized US population aged > or = 18 years. In 2002, HRQOL measures were administered in 18 states and the District of Columbia.Results: An estimated 15% of persons reported frequent (> or = 14 days in the past 30 days) anxiety symptoms. After adjusting for frequent depressive symptoms and sociodemographic characteristics, those with frequent anxiety symptoms were significantly more likely than those without to report fair or poor general health (vs. excellent, very good, or good general health), frequent physical distress, frequent activity limitations, frequent sleep insufficiency, infrequent vitality, frequent mental distress, and frequent pain. In addition, they were more likely to smoke, to be obese, to be physically inactive, and to drink heavily.Conclusion: Given their association with impaired HRQOL and adverse health behaviors, our results suggest that assessment of anxiety symptoms should be a facet of routine standard medical examinations. [ABSTRACT FROM AUTHOR]

Purpose: Our study assesses the relationships between self-reported adverse childhood experiences (ACEs) (including sexual, physical, or verbal abuse, along with household dysfunction including parental separation or divorce, domestic violence, mental illness, substance abuse, or incarcerated household member) and unemployment status in five US states in 2009.Methods: We examined these relationships using the 2009 Behavioral Risk Factor surveillance system survey data from 17,469 respondents (aged 18-64 years) who resided in five states, completed the ACE Questionnaire, and provided socio-demographic and social support information. We also assessed the mediation of these relationships by respondents' educational attainment, marital status, and social support.Results: About two-third of respondents reported having had at least one ACEs, while 15.1% of men and 19.3% of women reported having had ≥4 ACEs. Among both men and women, the unemployment rate in 2009 was significantly higher among those who reported having had any ACE than among those who reported no ACEs (p < 0.05). Educational attainment, marital status, and social support mediated the relationship between ACEs and unemployment, particularly among women.Conclusions: ACEs appear to be associated with increased risk for unemployment among men and women. Further studies may be needed to better understand how education, marital status, and social support mediate the association between multiple ACEs and unemployment. [ABSTRACT FROM AUTHOR]

It has become increasingly recognized that insufficient sleep is associated with adverse health outcomes. Studies have observed that sleep duration and daytime sleepiness varies by sex and marital status. Few studies have examined the impact of the number of children on sleep. To evaluate the association of marital status and number of children with insufficient sleep and in a large national sample. We analyzed data from the 2008 Behavioral Risk Factor Surveillance System (BRFSS) survey, a population-based telephone survey of non-institutionalized US adults ( N = 395,407), in which respondents were asked, 'During the past 30 days, for about how many days have you felt you did not get enough rest or sleep?' We used sex-specific, multivariate logistic regression analyses to assess the associations of marital status (married, previously married, never married) and the number of children in the household with frequent insufficient sleep (≥14 days in past 30 days) after adjusting for age, race/ethnicity, and education. In this study population, 23% were never married, 60% were married, and 17% were previously married. Forty-three percent reported having children aged <18 years in the household. Married men (24.3%) were less likely to report frequent insufficient sleep than never married men (28.0%) or previously married men (28.8%). Never married women (33.4%) were more likely to report frequent insufficient sleep than currently married (29.0%) or previously married women (29.0%). The likelihood of frequent insufficient sleep increased in a linear fashion with the number of children in the household for all subgroups ( P < 0.05) except among never married men. These findings suggest that the presence of children in the household often increases the frequency of insufficient rest or sleep among the adults with whom they reside. Thus, health care providers may wish to consider the presence of children under 18 years of age a potential 'risk factor' for insufficient sleep when counseling adults in the household about the importance of sleep to overall health. [ABSTRACT FROM AUTHOR]

The purpose of this study was to test a brief instrument to monitor the U.S. public’s attitudes about mental illness. A SAMHSA and CDC-led panel reached consensus through an iterative process to identify generic, multidimensional measures to test using a representative sample of 5,251 adults. Exploratory factor analysis revealed two subscales (Negative Stereotypes [α = 0.66]; Recovery and Outcomes [α = 0.69]). Confirmatory factor analysis supported the convergent validity of the two subscales. Subscale scores differed by sex, race/ethnicity, and experience with mental illness. Inclusion of these brief subscales on existing population-based surveys can help states and others track attitudes about mental illness. [ABSTRACT FROM AUTHOR]

Social and emotional support is an important construct, which has been associated with a reduced risk of mental illness, physical illness, and mortality. Despite its apparent relevance to health, there have been no recent state or national population-based U.S. studies regarding social and emotional support. In order to better address this issue, we examined health-related quality of life (HRQOL) and health behaviors by level of social and emotional support in community-dwelling adults in the United States and its territories. Data were obtained from the Behavioral Risk Factor Surveillance System, an ongoing, state-based, random digit telephone survey of the noninstitutionalized U.S. population aged ≥18 years. In 2005, one social and emotional support question, four HRQOL questions, two disability questions, one life satisfaction question, and four health behavior questions were administered in the 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands. An additional five HRQOL questions were administered in two states. An estimated 8.6% of adults reported that they rarely/never received social and emotional support; ranging in value from 4.2% in Minnesota to 12.4% in the U.S. Virgin Islands. As the level of social and emotional support decreased, the prevalence of fair/poor general health, dissatisfaction with life, and disability increased, as did the mean number of days of physical distress, mental distress, activity limitation, depressive symptoms, anxiety symptoms, insufficient sleep, and pain. Moreover, the prevalence of smoking, obesity, physical inactivity, and heavy drinking increased with decreasing level of social and emotional support. Additionally, the mean number of days of vitality slightly decreased with decreasing level of social and emotional support; particularly between those who always/usually received social and emotional support and those who sometimes received support. These findings indicate that the assessment of social and emotional support is highly congruent with the practice of psychiatry. Assessment of social and emotional support, both in psychiatric and medical settings, may identify risk factors germane to adverse health behaviors, and foster interventions designed to improve the mental and physical health of at risk segments of the population. [ABSTRACT FROM AUTHOR]

Abstract The primary purpose of this article was to examine the associations between life satisfaction level and health-related quality of life (HRQOL), chronic illness, and adverse health behaviors among adults in the U.S. and its territories. Data were obtained from the 2005 Behavioral Risk Factor Surveillance System, an ongoing, statebased, random-digit telephone survey of the noninstitutionalized U.S. population aged ≥18 years. An estimated 5.6% of U.S. adults (about 12 million) reported that they were dissatisfied/very dissatisfied with their lives. As the level of life satisfaction decreased, the prevalence of fair/poor general health, disability, and infrequent social support increased as did the mean number of days in the past 30 days of physical distress, mental distress, activity limitation, depressive symptoms, anxiety symptoms, sleep insufficiency, and pain. The prevalence of smoking, obesity, physical inactivity, and heavy drinking also increased with decreasing level of life satisfaction. Moreover, adults with chronic illnesses were significantly more likely than those without to report life dissatisfaction. Notably, all of these associations remained significant after adjusting for sociodemographic characteristics. Our findings showed that HRQOL and health risk behaviors varied with level of life satisfaction. As life satisfaction appears to encompass many individual life domains, it may be an important concept for public health research. [ABSTRACT FROM AUTHOR]

Movement underpins animal spatial ecology and is often modelled as habitat-dependent correlated random walks. Here, we develop such a model for the flightless tansy leaf beetle Chrysolina graminis moving within and between patches of its host plant tansy Tanacetum vulgare. To parameterize the model, beetle movement paths on timescales of minutes were observed in uniform plots of tansy and inter-patch matrix (meadow) vegetation. Movement lasted longer, covered greater distances and had narrower turning angles in the matrix. Simulations of the model emulated an independent two-season multi-patch mark–resight study at daily timescales and included variable boundary-mediated behaviour affecting the probability of leaving habitat patches. As boundaries in the model became stronger there were disproportionately large decreases in net displacements, inter-patch movements and the proportion of beetles in the matrix. The model produced realistic patterns of population-level displacement over periods up to 13 days with fully permeable boundaries for one dataset and strong boundaries for the other. This may be explained by the heights of the tansy patches in each study, as beetles will be unable to cross the boundary near the top of a patch that emerges from the matrix. The simulations demonstrate the important effects of boundary behaviour on displacement patterns and indicate temporal and spatial variability in permeability. Realistic models of movement must therefore include behaviour at habitat boundaries. [ABSTRACT FROM AUTHOR]

BACKGROUND: Arthritis and mental health disorders are leading causes of disability commonly seen by health care providers. Several studies demonstrate a higher prevalence of anxiety and depression in persons with arthritis versus those without arthritis. OBJECTIVES: Determine the national prevalence of serious psycho- logical distress (SPD) and frequent anxiety or depression (FAD) in adults with arthritis, and in adults with arthritis, identify risk factors associated with SPD. METHODS: Cross-sectional data from the 2002 National Health Interview Survey, an in-person household interview survey, were used to estimate the prevalence of SPD and FAD in adults with (n=6,829) and without (n=20,676) arthritis. In adults with arthritis, the association between SPD and sociodemographic, clinical, and functional factors was evaluated using multivariable logistic regression. RESULTS: The prevalence of SPD and FAD in adults with arthritis is significantly higher than in adults without arthritis (5.6% vs 1.8% and 26.2% vs 10.7%, P<.001, respectively). In adults with arthritis, SPD was significantly associated with younger age, lower socioeconomic status, divorce/separation, recurrent pain, physical inactivity, having functional or social limitations, and having comorbid medical conditions. Adults aged 18 to 44 years were 6.5 times more likely to report SPD than those 65 years or older, and adults with recurrent pain were 3 times more likely to report SPD than those without recurrent pain. CONCLUSIONS: Serious psychological distress and FAD affect persons with arthritis and should be addressed in their treatment. Younger adults with arthritis, and those with recurrent pain or either functional or social limitations, may be at higher risk for SPD. [ABSTRACT FROM AUTHOR]

Climate and land-use change drive a suite of stressors that shape ecosystems and interact to yield complex ecological responses (that is, additive, antagonistic and synergistic effects). We know little about the spatial scales relevant for the outcomes of such interactions and little about effect sizes. These knowledge gaps need to be filled to underpin future land management decisions or climate mitigation interventions for protecting and restoring freshwater ecosystems. This study combines data across scales from 33 mesocosm experiments with those from 14 river basins and 22 cross-basin studies in Europe, producing 174 combinations of paired-stressor effects on a biological response variable. Generalized linear models showed that only one of the two stressors had a significant effect in 39% of the analysed cases, 28% of the paired-stressor combinations resulted in additive effects and 33% resulted in interactive (antagonistic, synergistic, opposing or reversal) effects. For lakes, the frequencies of additive and interactive effects were similar for all spatial scales addressed, while for rivers these frequencies increased with scale. Nutrient enrichment was the overriding stressor for lakes, with effects generally exceeding those of secondary stressors. For rivers, the effects of nutrient enrichment were dependent on the specific stressor combination and biological response variable. These results vindicate the traditional focus of lake restoration and management on nutrient stress, while highlighting that river management requires more bespoke management solutions.