and Phyla obtusa Audinet-Serville (both Coleoptera: Carabidae: Bembidiini). We compared plant climbing behaviour, daily activity patterns, and trophic preferences between the two carabid species under laboratory conditions. Whereas no clear difference in trophic preference was observed, our results suggest temporal niche differentiation at the nychthemeron scale (a period of 24 consecutive hours), with one of the species being more diurnal and the other SN-38 more nocturnal, and spatial differentiation in their

habitat use at the plant stratum scale. Intra-specific variation suggests that micro-scale spatio-temporal niche differentiation could be mediated by behavioural plasticity in these two carabid species. We speculate that such behavioural plasticity may provide carabid beetles with a high adaptive potential in intensively managed agricultural areas.”
“Background: Medications with anticholinergic and sedative effects carry significant risks in older people. Adverse events arising from the use of these medications may also lead to hospitalization this website and contribute to length of stay. The Drug Burden Index (DBI) is a tool that measures a person’s total exposure to medications with anticholinergic and sedative properties, using the principles of dose response and maximal effect. Cumulative anticholinergic and sedative drug

burden measured using the DBI has been associated with clinically important outcomes in older people. The association between the DBI and hospitalization still remains relatively unknown.\n\nObjective: The main aim of this study was to evaluate the relationship between DBI and hospitalization in a population-based sample SRT2104 of community-dwelling older Finns over a 1-year period.\n\nMethods: The health status and medication use of 339 community-dwelling >= 75-year-old Finns were assessed in 2004. Data on hospitalizations over the following year were obtained from the national discharge register. Two different measures were used to assess hospitalizations in the study sample: (i) the proportion of hospitalized participants; and (ii) the number of hospital days per person-year. Estimates for the number

of hospital days per person-year and rate ratios (RRs) with 95% confidence intervals (CIs) were calculated using Poisson or negative binomial regression analysis.\n\nResults: A total of 127 participants (38%) were exposed to DBI medications; 27% had a low DBI (>0 to <1), and 11% had a high DBI (>= 1). The number of hospital days per person-year was 7.9 (95% CI 7.6, 8.3) for the unexposed participants (DBI = 0) and 13.4 (95% CI 12.8, 14.1) for the exposed participants (DBI >1); the age, gender and co-morbidity adjusted RR of hospital days per person-year between the exposed and unexposed participants was 1.26 (95% CI 1.18, 1.35). Between the low and high DBI groups, the difference in the number of hospital days per person-year was insignificant (p = 0.42).