myo-Inositol and Phytate Are Toxic to Formosan Subterranean Termites (Isoptera: Rhinotermitidae).

Several rare and common monosaccharides were screened for toxic effects on the Formosan subterranean termite, Coptotermes formosanus Shiraki, with the aim of identifying environmentally friendly termiticides. myo-Inositol and phytic acid, which are nontoxic to mammals, were identified as potential termite control compounds. Feeding bioassays with termite workers, where both compounds were supplied on filter paper in concentrations from 160.2 to 1,281.7 µg/mm(3), showed concentration-dependent toxicity within 2 wk. Interestingly myo-inositol was nontoxic when administered to termites in agar (40 mg/ml) in the absence of a cellulosic food source, an unexplained phenomenon. In addition, decreased populations of termite hindgut protozoa were observed upon feeding on myo-inositol but not phytate-spiked filter paper. Radiotracer feeding studies using myo-inositol-[2-(3)H] with worker termites showed no metabolism after ingestion over a 2-d feeding period, ruling out metabolites responsible for the selective toxicity.

A multiple additive regression tree analysis of three exposure measures during Hurricane Katrina.

This paper analyses structural and personal exposure to Hurricane Katrina. Structural exposure is measured by flood height and building damage; personal exposure is measured by the locations of 911 calls made during the response. Using these variables, this paper characterises the geography of exposure and also demonstrates the utility of a robust analytical approach in understanding health-related challenges to disadvantaged populations during recovery. Analysis is conducted using a contemporary statistical approach, a multiple additive regression tree (MART), which displays considerable improvement over traditional regression analysis. By using MART, the percentage of improvement in R-squares over standard multiple linear regression ranges from about 62 to more than 100 per cent. The most revealing finding is the modelled verification that African Americans experienced disproportionate exposure in both structural and personal contexts. Given the impact of exposure to health outcomes, this finding has implications for understanding the long-term health challenges facing this population.

Gut Microbiota Composition and Predicted Microbial Metabolic Pathways of Obesity Prone and Obesity Resistant Outbred Sprague-Dawley CD Rats May Account for Differences in Their Phenotype.

Like humans, outbred Sprague-Dawley CD rats exhibit a polygenic pattern of inheritance of the obese phenotype and not all individuals exposed to a high calorie intake develop obesity. We hypothesized that differences in gut microbiota composition account for phenotype differences between obese prone (OP) and obese resistant (OR) rats. We studied the gut microbiota composition of OPand OR rats after a high fat (HF) diet and how they respond to fermentation of resistant starch (RS). In phase 1 of the study 28 OP and 28 OR rats were fed a HF diet. In order to determine causal role of microbiota on phenotypes, In phase 2, a microbiota transplant between the two phenotypes was performed before switching all rats to a HF diet supplemented with 20% RS. We determined microbiota composition by 16S sequencing and predicted microbiota function by PICRUSt2. Despite a similar calorie intake, in phase 2 OP rats gained more weight and accumulated more abdominal fat in both phase 1 and 2 compared to OR rats (P < 0.001; n = 6). The OP rats fermented RS more robustly compared with OR rats with an increase in total bacteria, short chain fatty acids, and increased weight of the cecum, but microbiota of OP rats had much lower alpha diversity and evenness. The microbiota of OP rats, had higher amounts of bacteria from order Bacteroidales, specifically family Muribaculaceae (S24-7), which is known to possess several starch degrading enzymes and was reported in previous studies to increase with fermentation of RS. The OR rats fermented RS less but had higher bacterial diversity and evenness and had significantly higher bacterial counts from phylum Firmicutes particularly order Clostridiales, genus Clostridium and an uncultured bacterium of the genus Akkermansia. The microbiota of OR rats had enhanced bacterial chemotaxis, phosphotransferase system (PTS), and fatty acid biosynthesis compared to OP rats whose microbiota had higher glycan degradation and LPS biosynthesis pathways. The microbiota transplant did not change obesity phenotype or microbiota composition. In conclusion, a higher alpha-diversity and evenness of the microbiota and higher proportions of Clostridiales and Akkermansia in OR rats were associated with a better metabolic phenotype with lower body fat. However, robust RS fermentation caused a lower diversity and evenness and did not result in a leaner phenotype.

Differences in Capacity of High-Amylose Resistant Starch, Whole-Grain Flour, and a Combination of Both to Modify Intestinal Responses of Male Sprague Dawley Rats Fed Moderate and High Fat Diets.

Gastrointestinal tract (GIT) responses to a high-amylose resistant starch (RS) product were compared to those observed when RS was combined with whole grain (WG) and to controls with low RS intake in rats fed moderate or high fat diets. Regardless of fat intake, rats fed RS or WG + RS diets had higher cecum weights, higher intestinal quantities of short chain fatty acids, and lower intestinal content pH, and their GIT cells had increased gene expression for gluconeogenesis and barrier function compared to controls. Whereas RS resulted in greater GIT content acetate and propionate and lowest pH, the WG + RS diets yielded higher butyrate. Rats fed the RS diet with MF had higher cecum weights than those fed either the RS diet with HF or the WG + RS diet with either MF or HF. Diets containing combinations of RS and other dietary fibers should be considered for RS-mediated GIT benefits.

Assessing the hydroxyl radical and volatilization roles in aquatic fate estimations of sulfur heterocycles: Dibenzothiophene derivatives.

Polycyclic aromatic sulfur heterocycles (PASHs) and their alkyl derivatives can be released into aquatic systems via crude oil spills or runoff from petroleum-treated areas, such as asphalt. Dibenzothiophene (DBT) and its derivatives (C1-DBT, C2-DBT, and C4-DBT) were chosen as model compounds to investigate the relative impact of volatilization and hydroxyl radical degradation on estimates of their overall dissipation after entry into aquatic ecosystems as a function of depth using the exposure analysis modeling system (EXAMS). The hydroxyl radical rate constant (K · OH ) and Henry's law constant of PASHs were determined in distilled water. The analogue C1-DBT reacted fastest with · OH relative to other PASHs. The C2-DBT and C4-DBT analogues had higher Henry's law constants compared with other derivatives. Steric hindrance by alkyl substituents on the sulfur moiety most strongly impacted measured rate and Henry's law constants between DBT and individual alkyl derivatives. These steric effects do not appear to be considered in the physical property estimation software EPI Suite. Simulated dissipation of PASHs using EXAMS suggests that volatilization is a dominant fate pathway for the higher molecular weight and less polar C2-DBT and C4-DBT at all depths and DBT and C1-DBT at 0.1-m. However, model scenarios suggest that hydroxyl radical degradation may significantly contribute to the degradation of more polar DBT and C1-DBT at 1-m and 2-m depths. Environ Toxicol Chem 2017;36:1998-2004. © 2017 SETAC.

Understanding the Relationship Between Physical Therapist Participation in Interdisciplinary Rounds and Hospital Readmission Rates: Preliminary Study.

BACKGROUND: Providing patients with optimal discharge disposition and follow-up services could prevent unplanned readmissions. Despite their qualifications, physical therapists are rarely represented on the interdisciplinary team. OBJECTIVE: This study aimed to determine the relationship between the participation of physical therapists in interdisciplinary discharge rounds and readmission rates. METHODS: In this retrospective observational study, patients discharged by 2 interdisciplinary teams with or without a physical therapist's participation were followed for 5 months. Adherence to the physical therapist's recommendations for follow-up services and unplanned 30-day readmissions were tracked. Multiple logistic regression and random forest models were used to determine factors contributing to 30-day readmission rates. RESULTS: The odds of 30-day readmissions were 3.78 times greater when a physical therapist was absent from the interdisciplinary team compared with the odds of 30-day readmissions when a physical therapist participated in the interdisciplinary team. In addition, the odds of 30-day readmission for patients discharged to their home were 2.47 times greater than those who were not discharged to their home. An increased lack of postdischarge services was noted when a physical therapist was not included in the interdisciplinary team. LIMITATIONS: The nonrandom selection of patients into groups, the small sample size, and the inability to adjust risk for unknown factors (eg, medical diagnoses, comorbidities, funding, and functional measures) limited interpretation of the results. CONCLUSION: Significantly higher readmission rates were noted for patients whose interdisciplinary team did not have a physical therapist and for those patients who were discharged to their home. These preliminary findings suggest that discharge from the acute care setting is an elaborate process and should be designed carefully. In order to identify the optimal discharge process, future research should account for patient complexities in addition to the composition of the interdisciplinary discharge team.

Distributions and accumulation rates of polycyclic aromatic hydrocarbons in the northern Gulf of Mexico sediments.

Sediment samples collected from shelf, slope and interior basin of the northern Gulf of Mexico during 2011-2013, 1-3 years after the Deepwater Horizon (DWH) oil spill, were utilized to characterize PAH pollution history, in this region. Results indicate that the concentrations of surface ΣPAH43 and their accumulation rates vary between 44 and 160 ng g(-1) and 6-55 ng cm(-2) y(-1), respectively. ΣPAH43 concentration profiles, accumulation rates and Δ(14)C values are significantly altered only for the sediments in the immediate vicinity of the DWH wellhead. This shows that the impact of DWH oil input on deep-sea sediments was generally limited to the area close to the spill site. Further, the PAHs source diagnostic analyses suggest a noticeable change in PAHs composition from higher to lower molecular weight dominance which reflects a change in source of PAHs in the past three years, back to the background composition. Results indicate low to moderate levels of PAH pollution in this region at present, which are unlikely to cause adverse effects on benthic communities.

Race disparities in psychiatric rates in emergency departments.

Psychiatric diagnoses based on the International Classification of Diseases--Ninth Revision were examined in the medical discharge records of 33,000 emergency department (ED) patients to determine if (a) psychiatric disorders were underdiagnosed, (b) there were race and gender disparities in psychiatric rates, and (c) psychiatric rates varied as a function of type of injury (e.g., self vs. other-inflicted injuries) and medical diagnosis. The observed psychiatric rate of 5.27% was far below the national prevalence rate of 20%-28%. Both race groups were underdiagnosed, but the underdiagnosis was larger for African Americans. Younger patients had fewer psychiatric diagnoses than older patients. Men had more psychiatric diagnoses overall, whereas women had more mood and anxiety diagnoses. Self-injury patients had much higher psychiatric rates than the other injury groups. This psychiatric underdiagnosis contributes to needless emotional suffering, especially for minorities and the poor who rely on EDs for most of their health care.

Self-reported physical activity improves prediction of body fatness in young adults.

PURPOSE: To examine self-reported physical activity levels from the International Physical Activity Questionnaire (IPAQ) as an independent predictor of dual-energy x-ray absorptiometry (DXA)-measured percent body fat (%BF) from body mass index (BMI), gender, and race. METHODS: Two hundred and seventy-eight students, aged 18-24 yr, volunteered to participate. There were 133 males (85 white and 48 black) and 145 females (77 white and 68 black). Total activity levels were quantified in MET hours per week (MET h wk(-1)) using the IPAQ short form. Height and weight were measured, and BMI values were calculated (kg m(-2)). %BF was assessed using DXA. Linear regression analysis was used to develop and compare a body fat prediction equation with (full) and without (reduced) the variable MET-h.wk. Both models included BMI, gender, and race as predictor variables. The prediction sum of squares (PRESS) statistic was used to cross-validate both models, and the individual predictive accuracy was compared using modified Bland-Altman plots. RESULTS: Mean +/- SD values were as follows: BMI = 24.4 +/- 4.1 kg m(-2), %BF = 24.5 +/- 9.3%, and MET h wk(-1) = 37.4 +/- 21.9. Gender, BMI, and race explained 81% of the variance in %BF, with a root mean square error (RMSE) of 4.07. The full model with MET-h.wk improved the prediction of %BF by 2% (R2 = 0.83, RMSE = 3.87). When cross-validated, the corresponding PRESS statistics for the reduced and full model were 4.10 and 3.90, respectively. Bland-Altman limits of agreement were greater for the reduced model compared with the full model (-8.09, 8.10 vs -7.67, 7.68). CONCLUSION: These results suggest that %BF can be predicted with greater precision and accuracy in a young adult population when MET-h.wk are included in addition to BMI, gender, and race.

Modulation models for seasonal time series and incidence tables.

We model monthly disease counts on an age-time grid using the two-dimensional varying-coefficient Poisson regression. Since the marginal profile of counts shows a very strong and varying annual cycle, sine and cosine regressors model periodicity, but their coefficients are allowed to vary smoothly over the age and time plane. The coefficient surfaces are estimated using a relatively large tensor product B-spline basis. Smoothness is tuned using difference penalties on the rows and columns of the tensor product coefficients. Heavy over-dispersion occurs, making it impossible to use Akaike's information criterion or Bayesian information criterion based on a Poisson likelihood. It is handled by selective weighting of part of the data and by the use of extended quasi-likelihood. Very efficient computation is achieved with fast array algorithms. The model is applied to monthly deaths due to respiratory diseases, for U.S. females during 1959-1998 and for ages 51-100.