Assessing Invasive Alien Species Across Multiple Spatial Scales: Working Globally and Locally

Quantitative investigations on invasive alien species (IAS) across multiple spatial scales are needed because biological invasions often encompass enormous expanses in both donor and invaded ranges and because the immigrants may be carried great distances between these ranges. Although invasion biology is rich in anecdotes, translation of this information into generalizations remains limited by technical shortcomings in data acquisition, inconsistent data assembly, and the continuing search for meaningful indices of the impact of IAS. Much better justification of and greater opportunities to combat IAS could be achieved by distilling all information for IAS into spatially explicit case histories and synthetic predictions on the epidemiology and consequences of biological invasions for public review, discussion, and action. Las investigaciones cuantitativas sobre las especies exóticas invasoras (EEI) a través de numerosas escalas espaciales son necesarias porque las invasiones biológicas abarcan a menudo enormes extensiones, tanto en las áreas de distribución originales como en las áreas invadidas, y porque estos inmigrantes pueden ser transportados a través de grandes distancias entre estas áreas. Aunque la biología de las invasiones es rica en anécdotas, la conversión de esta información en generalizaciones todavía está limitada por deficiencias técnicas en la adquisición de los datos, inconsistencias en el ensamblaje de los datos, y la búsqueda continua de índices significativos del impacto de las EEI. Se podría alcanzar una mejor justificación y mejores oportunidades de combatir a las EEI destilando toda la información de las EEI en estudios de caso espacialmente explícitos y predicciones sintéticas sobre la epidemiología y las consecuencias de las invasiones biológicas para la revisión pública, la discusión y la acción

Saving camels from straws: how propagule pressure-based prevention policies can reduce the risk of biological invasion

Nonnative species that harm or have the potential to cause harm to the environment, economy, or human health are known as invasive species. Propagule pressure may be the most important factor in establishment success of nonnative species of various taxa in a variety of ecosystems worldwide, and strong evidence is emerging that propagule pressure determines both the scale of invasion extent and impact. In a limited way, the US government is applying a “propagule pressure approach” in a variety of prevention policy contexts aimed at minimizing the impact of harmful organisms. However, there are also readily apparent opportunities for enacting propagule pressure-based measures to fill current gaps in invasive species prevention and control at national, state, and local levels. An explicit focus on propagule pressure-based policies could substantially increase the effectiveness of US efforts to prevent the introduction of invasive species through by intentional and unintentional introductions

Application of fast infrared detectors to detonation science

Infrared radiometers have been used to make time-resolved emission measurements of shocked explosives. Instruments of moderate time resolution were used to estimate temperatures in shocked but not detonated explosives. The heterogeneity of the shock-induced heating was discovered in pressed explosives by two-band techniques, and the time-resolved emittance or extent of hot spot coverage indicated a great dependence on shock pressures. Temperatures in moderately shocked organic liquids were also measured. Faster response radiometers with 5 ns rise times based on InSb and HgCdTe photovoltaic detectors were constructed and tested. Preliminary data on reactive shocks and detonations reveal a resolution of the heating in the shock wave and the following reaction

Do diabetes and depressed mood affect associations between obesity and quality of life in postmenopause? Results of the KORA-F3 Augsburg population study

<p>Abstract</p> <p>Background</p> <p>To assess associations of obesity with health-related quality of life (HRQL) in postmenopausal women, and whether depressed mood and diabetes moderate these associations.</p> <p>Methods</p> <p>Survey of 983 postmenopausal women aged 35-74, general population, Augsburg region/Germany, 2004/2005. Body weight/height and waist/hip circumference were assessed anthropometrically and classified via BMI ≥ 30 as obese, and WHR ≥ 0.85 as abdominally obese (vs. not). Depressed mood was assessed by the Depression and Exhaustion-(DEEX-)scale, diabetes and postmenopausal status by self-report/medication, and HRQL by the SF-12.</p> <p>Results</p> <p>General linear models revealed negative associations of obesity and abdominal obesity with physical but not mental HRQL. Both forms of excess weight were associated with diabetes but not depressed mood. Moderation depended on the HRQL-domain in question. In non-diabetic women, depressed mood was found to amplify obesity-associated impairment in physical HRQL (mean "obese"-"non-obese" difference given depressed mood: -6.4, p < .001; among those without depressed mood: -2.5, p = .003). Reduced mental HRQL tended to be associated with obesity in diabetic women (mean "obese"-"non-obese" difference: -4.5, p = .073), independent of depressed mood. No interactions pertained to abdominal obesity.</p> <p>Conclusions</p> <p>In postmenopausal women, depressed mood may amplify the negative impact of obesity on physical HRQL, while diabetes may be a precondition for some degree of obesity-related impairments in mental HRQL.</p

The perils of standardizing infant weight to assess weight change differences across exposure groups

Purpose: When conducting analyses of child weight growth trajectories, researchers commonly use Z-scores from a standard instead of the observed weights. However, these Z-scores, calculated from cross-sectional data, may introduce methodological limitations when used in the context of longitudinal analyses. We assessed analytic limitations when analyzing infant growth data with three anthropometric measures: weight and the corresponding Z-scores and percentiles from a standard. Methods: We undertook a series of Monte Carlo simulations and compared tests of differences in postnatal weight change across time (growth velocity) between two exposure groups. Models with the observed weight outcome were compared to the corresponding weight World Health Organization (WHO) Z-score or weight percentile outcomes. We calculated power, type I error, and median product term coefficient estimates to assess differences between the models. Results: There was lower power to detect velocity differences across exposure groups for WHO Z-scores and percentiles as outcomes compared to the use of observed weight values. We also noted instances in which velocity differences between exposed and unexposed groups were in the opposite direction in analyses with WHO Z-score outcomes. Conclusions: In our simulations of infant weight velocity differences across exposure groups, we observed lower power and effect inconsistencies when applying a standard-derived Z-score transformation. These results emphasize the need for careful consideration of the appropriate scale when assessing infant growth trajectories across categorical groups

A double-blind, randomized pilot trial of chromium picolinate for binge eating disorder: Results of the Binge Eating and Chromium (BEACh) Study

Chromium treatment has been shown to improve mood, appetite, and glucose regulation in various psychiatric and medical patient populations. The authors propose that chromium may be useful in the treatment of binge eating disorder (BED)

Remission, continuation and incidence of eating disorders during early pregnancy: a validation study in a population-based birth cohort

Background—The objective of this study was to validate previously published rates of remission, continuation, and incidence of broadly defined eating disorders during pregnancy. The previous rate modeling was done by our group (Bulik et al. 2007) and yielded participants halfway into recruitment of the planned 100,000 pregnancies in the Norwegian Mother and Child (MoBa) Cohort at the Norwegian Institute of Public Health. This study aimed to internally validate the findings with the completed cohort. Methods—77267 pregnant women enrolled at 17 weeks gestation between 2001 and 2009 were included. Participants were split into a “training” sample (n=41243) based on participants in the MoBa version 2 dataset of the original study and a “validation” sample (n=36024) comprising individuals in the MoBa version 5 dataset that were not in the original study (Bulik et al. 2007). Internal validation of all original rate models involved fitting a calibration model to compare model parameters between the “training” and “validation” samples as well as bootstrap estimates of bias in the entire version 5 dataset. Results—Remission, continuation, and incidence estimates from the “training” sample remained stable when evaluated via a split sample validation procedure. Pre-pregnancy prevalence estimates in the “validation” sample were 0.1% for anorexia nervosa, 1.0% for bulimia nervosa (BN), 3.3% for binge eating disorder (BED), and 0.1% for purging disorder (EDNOS-P). In early pregnancy, estimates were 0.2% for BN, 4.8% for BED, and <0.01% for EDNOS-P. Consistent with the original study, incident BN and EDNOS-P during pregnancy were rare. For BED, the adjusted incidence rate in the “validation” sample was 1.17 per 1000 person-weeks. The highest rates were for full or partial remission for BN and EDNOS-P, and continuation for BED. Conclusions—This study provides evidence of validity of previously estimated rates of remission, continuation, and incidence of eating disorders during pregnancy. Eating disorders during pregnancy were relatively common, occurring in nearly 1 in every 20 women, although almost all were cases of BED. Pregnancy was a window of remission from BN but a window of vulnerability for onset and continuation of BED. Training to detect the signs and symptoms of eating disorders by obstetricians/gynecologists and interventions to enhance pregnancy and neonatal outcomes warrant attention

Attitudes toward weight gain during pregnancy: Results from the Norwegian mother and child cohort study (MoBa)

To explore attitudes toward weight gain during pregnancy in women with and without eating disorders and across eating disorder subtypes, and to examine associations among weight-gain attitudes and actual gestational weight gain, infant birth weight, and infant size-for-gestational-age

Patterns and prevalence of disordered eating and weight control behaviors in women ages 25–45

The current study describes detailed eating behaviors, dieting behaviors, and attitudes about shape and weight in 4,023 women ages 25 to 45

Eating disorder symptoms and weight and shape concerns in a large web-based convenience sample of women ages 50 and above: Results of the gender and body image (GABI) study

Limited research exists on eating disorder symptoms and attitudes and weight and shape concerns in women in mid-life to older adulthood. We conducted an online survey to characterize these behaviors and concerns in women ages 50 and above