Occurrence of ESBL-Producing Escherichia coli ST131, Including the H30-Rx and C1-M27 Subclones, Among Urban Seagulls from the United Kingdom.

Antimicrobial resistance is a public health concern. Understanding any role that urban seagulls may have as a reservoir of resistant bacteria could be important for reducing transmission. This study investigated fecal Escherichia coli isolates from seagulls (herring gulls and lesser black-backed gulls) to determine the prevalence of extended-spectrum cephalosporin-resistant (ESC-R) and fluoroquinolone-resistant E. coli among gull species from two cities (Taunton and Birmingham) in the United Kingdom (UK). We characterized the genetic background and carriage of plasmid-mediated resistance genes in extended-spectrum ß-lactamase (ESBL)-producing E. coli obtained from these birds. Sixty ESC-R E. coli isolates were obtained from 39 seagulls (39/78, 50%), of which 28 (28/60, 46.7%) were positive for plasmid-mediated CTX-M and/or AmpC ß-lactamase resistance genes. Among these, blaCTX-M-15, blaCTX-M-14, and blaCMY-2 predominated. Three isolates belonging to the B2-ST131 clone were detected, of which two harbored blaCTX-M-15 (typed to C2/H30Rx) and one harbored blaCTX-M-27 and was typed to C1/H30-R (recently described as the C1-M27 sublineage). The plasmid-mediated quinolone resistance (PMQR) gene carriage prevalence (11.7%) consisted of aac(6')-Ib-cr and qnrB genes. No carbapenem or colistin resistance genes were detected. Urban seagulls in the UK are colonized and can spread major antimicrobial-resistant E. coli isolates harboring ESBL and PMQR determinants, including clinically important strains such as the pandemic clone B2-ST131 and the C1-M27 subclade. This is the first report of ST131-C1-M27 subclade in wildlife in the UK and in seagulls worldwide.

Validation of the Philadelphia Mindfulness Scale on experienced meditators and nonmeditators.

OBJECTIVE: The Philadelphia Mindfulness Scale's (PHLMS) psychometric properties, theoretical assumptions, convergent validity, and relationships to symptom, happiness and social desirability measures were investigated in novel samples. METHODS: Internet-recruited general public samples of experienced meditators (n = 67, 21 male, 46 female, average age 50) and nonmeditators (n = 61, 28 male, 32 female, and 1 transgender; average age 41.9) were used. RESULTS: Meditators scored higher than nonmeditators on both PHLMS Acceptance, t(126) = 2.77, p < .01, d = 0.49, and Awareness t(126) = 4.18, p < .01, d = 0.74. Higher PHLMS Acceptance subscale scores were associated with decreased scores on all symptom measures in nonmeditators, but only in select measures among meditators. Generally, PHLMS Awareness subscale scores were not related to symptoms. Awareness interacted with meditator status on outcome measures. CONCLUSIONS: PHLMS may be used in the general public and experienced meditator populations. Mindfulness facets become intercorrelated in experienced meditators.

The relationship between emotion regulation difficulties and psychopathic personality characteristics.

The factors of psychopathy assessment tools diverge in their relationships with numerous problematic behaviors and psychological disorders. Emotion dysregulation is a pathological process argued to cut across diagnoses, and may be important in better understanding these divergent associations. This study sought to clarify psychopathy's association with emotion regulation difficulties. It was predicted that the Fearless Dominance and Self-Centered Impulsivity factors of the Psychopathic Personality Inventory-Revised would demonstrate differential relationships with a multidimensional conceptualization of emotion regulation difficulties. Ninety-one male undergraduate students and 28 male court-mandated anger management participants completed self-report questionnaires measuring emotion regulation difficulties and psychopathic personality characteristics. Hierarchical regression analyses indicated that emotion regulation difficulties were negatively associated with Fearless Dominance psychopathic traits, but positively associated with Self-Centered Impulsivity and global psychopathic traits. In addition, emotion regulation difficulties explained incremental variance in psychopathic traits over and above negative affect alone. These findings may have clinical implications for the etiology and treatment of psychopathic personality disorder.

Measuring cognitive and affective constructs in the context of an acute health event.

The latest recommendations for building dynamic health behavior theories emphasize that cognitions, emotions, and behaviors--and the nature of their inter-relationships--can change over time. This paper describes the development and psychometric validation of four scales created to measure smoking-related causal attributions, perceived illness severity, event-related emotions, and intention to quit smoking among patients experiencing acute cardiac symptoms. After completing qualitative work with a sample of 50 cardiac patients, we administered the scales to 300 patients presenting to the emergency department for cardiac-related symptoms. Factor analyses, alpha coefficients, ANOVAs, and Pearson correlation coefficients were used to establish the scales' reliability and validity. Factor analyses revealed a stable factor structures for each of the four constructs. The scales were internally consistent, with the majority having an alpha of >0.80 (range: 0.57-0.89). Mean differences in ratings of the perceived illness severity and event-related emotions were noted across the three time anchors. Significant increases in intention to quit at the time of enrollment, compared to retrospective ratings of intention to quit before the event, provide preliminary support for the sensitivity of this measure to the motivating impact of the event. Finally, smoking-related causal attributions, perceived illness severity, and event-related emotions correlated in the expected directions with intention to quit smoking, providing preliminary support for construct validity.

Posttraumatic stress symptoms in children of mothers diagnosed with breast cancer.

There are inconsistent findings regarding whether a mother's diagnosis of cancer affects her child's psychological health. The aim of this study was to compare maternally perceived symptoms of posttraumatic stress disorder (PTSD) in children of women with and without breast cancer. Forty mothers with breast cancer (assessed within 8 weeks of diagnosis) and 39 mothers without breast cancer were administered the Child Behavior Checklist (CBCL/6-18), UCLA Post Traumatic Stress Disorder (PTSD) Index, and Patient Health Questionnaire (PHQ-9). Descriptive discriminant analysis revealed that mothers with cancer perceived their children to have significantly greater symptoms of PTSD and internalizing distress than the mothers without cancer. No significant difference was found in maternal perception of externalizing symptoms in their children. Results revealed the importance of the assessment of PTSD in children whose mothers have cancer and the discussion includes implications for future research and clinical interventions.

The relationship between breast cancer anxiety and mammography: experiential avoidance as a moderator.

Although mammography can aid in the early detection and prevention of breast cancer, many women do not receive annual mammograms. It remains unclear whether anxiety about breast cancer inhibits or promotes mammography rates. The way in which women regulate their anxiety (ie, level of experiential avoidance) may play a role in predicting mammography adherence. A community sample of women (N = 84) completed a questionnaire which assessed mammography rates, experiential avoidance, and breast cancer anxiety. The results suggest that, while controlling for breast cancer anxiety, experiential avoidance (ß = .31, p < .01) significantly predicted mammography rates. When examining experiential avoidance as a moderator, a multiple regression analysis approached significance (R2 Δ = .04, p = .07), suggesting that a woman's level of experiential avoidance influences the relationship between anxiety and mammography. These findings will help enable health care practitioners to better identify women at risk of non-adherence to mammography recommendations.

Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes.

Chaos and oscillations continue to capture the interest of both the scientific and public domains. Yet despite the importance of these qualitative features, most attempts at constructing mathematical models of such phenomena have taken an indirect, quantitative approach, for example, by fitting models to a finite number of data points. Here we develop a qualitative inference framework that allows us to both reverse-engineer and design systems exhibiting these and other dynamical behaviours by directly specifying the desired characteristics of the underlying dynamical attractor. This change in perspective from quantitative to qualitative dynamics, provides fundamental and new insights into the properties of dynamical systems.

Intentions to quit smoking: causal attribution, perceived illness severity, and event-related fear during an acute health event.

BACKGROUND: Experiencing a serious consequence related to one's health behavior may motivate behavior change. PURPOSE: This study sought to examine how causal attribution, perceived illness severity, and fear secondary to an acute health event relate to intentions to quit smoking. METHODS: Using a cross-sectional survey design, adult emergency department patients who smoked provided demographic data and ratings of nicotine dependence, causal attribution, perceived illness severity, event-related fear, and intentions to quit smoking. RESULTS: A linear regression analysis was used to examine the relations between the independent variables and quit intentions. We enrolled 186 participants. After adjusting for nicotine dependence, smoking-related causal attribution and event-related fear were associated with intentions to quit (ß = 0.26, p < 0.01 and ß = 0.21, p < 0.01, respectively). Perceived illness severity was correlated with event-related fear (r = 0.46, p < 0.001) but was not associated with intentions to quit (ß = -0.08, p = 0.32). CONCLUSION: While causal attribution and event-related fear were modestly associated with quit intentions, perceived illness severity was not. Longitudinal studies are needed to better explicate the relation between these variables and behavior change milestones.

The multidimensional health locus of control scales: testing the factorial structure in sample of African American medical patients.

OBJECTIVE: A fifth subscale was recently added to the widely used multidimensional health locus of control (MHLC) measure, and little is known about the factor structure of the MHLC with the new scale among African Americans from disadvantaged backgrounds. Also, few studies have examined differences in Health Locus of Control (HLOC) beliefs across medical patients from similar demographic backgrounds. METHODS: We asked participants to complete a survey about HLOC beliefs and extracted biological markers from their medical charts. Participants were drawn from patients of internal medicine and infectious disease clinics at a charity hospital in Baton Rouge, Louisiana. In total, we surveyed 186 African American patients who were diagnosed with HIV/AIDS or type 2 diabetes. RESULTS: Confirmatory factor analysis could not confirm a 5-factor structure; however, a new 3-factor structure was produced that includes 1) internal health beliefs, 2) external health beliefs, and 3) God health beliefs. Patients with HIV/AIDS reported more external and God HLOC beliefs than did patients with type 2 diabetes. CONCLUSIONS: The factor structures that emerged from previous research may not be appropriate to use when conducting research with individuals from a low SES who are also from an ethnic/racial minority background. Our findings suggest a new 3-factor structure for the MHLC. Future research should examine whether patients with HIV/AIDS may benefit from interventions that target external beliefs to improve health behavior.

The interaction of locus of control, self-efficacy, and outcome expectancy in relation to HbA1c in medically underserved individuals with type 2 diabetes.

A common thread among health behavior theories is the importance of perceived control, often defined within the health psychology literature as locus of control. Inconsistencies have been found regarding the role of locus of control in predicting health behaviors. These inconsistencies may be resolved by exploring interactions between internal locus of control and other perceived control constructs such as self-efficacy and outcome expectancy. The present study tested the interaction of internal locus of control, self-efficacy and outcome expectancy in relation to HbA1c in patients with Type 2 diabetes. One hundred and nine medical patients who were diagnosed with Type 2 diabetes, predominantly from an African American as well as disadvantaged background, participated in the study. HbA1c was used to indicate gradations of medical regimen adherence. A three way interaction among the perceived control measures was related to HbA1c. Patients who reported low self-efficacy and low outcome expectancy tended to benefit the most from high internal locus of control. However, for patients with low self-efficacy and high outcome expectancy, higher scores on internal locus of control were related to poorer HbA1c levels. Future research examining perceived control constructs may benefit from investigating the interacting effects of such variables when evaluating health behaviors.

Reconstruction of cell population dynamics using CFSE.

BACKGROUND: Quantifying cell division and death is central to many studies in the biological sciences. The fluorescent dye CFSE allows the tracking of cell division in vitro and in vivo and provides a rich source of information with which to test models of cell kinetics. Cell division and death have a stochastic component at the single-cell level, and the probabilities of these occurring in any given time interval may also undergo systematic variation at a population level. This gives rise to heterogeneity in proliferating cell populations. Branching processes provide a natural means of describing this behaviour. RESULTS: We present a likelihood-based method for estimating the parameters of branching process models of cell kinetics using CFSE-labeling experiments, and demonstrate its validity using synthetic and experimental datasets. Performing inference and model comparison with real CFSE data presents some statistical problems and we suggest methods of dealing with them. CONCLUSION: The approach we describe here can be used to recover the (potentially variable) division and death rates of any cell population for which division tracking information is available.