Kentbrask4421

plemented to enhance staff competence had promising results. However, there is a need for research on the needs of patients with dementia in acute hospital settings regarding physical environment and effect of design elements. There is also a scarcity of intervention studies focusing on the effect of models of care that support the psychosocial needs of patients with dementia.

The occurrence of health anxiety (HA) in chronic pain is associated with adverse outcomes. As such, it is important to identify constructs that might influence HA and pain-related outcomes. Metacognitions are an emerging area of interest in both HA and chronic pain, but the relationship between the three factors has not been extensively examined. The current study sought to examine the role of metacognitions about health in HA and pain-related outcomes in chronic pain.

This study utilized a cross-sectional design. Undergraduate students with self-reported chronic pain (n = 179) completed online measures of HA, pain intensity, pain disability, and metacognitions about health.

Regression analyses indicated that both metacognitions about biased thinking and that thoughts are uncontrollable predicted HA in chronic pain, while only metacognitions about biased thinking predicted pain-related disability beyond pain intensity.

Results demonstrate that HA and pain-related disability are not associated when taking metacognitions about health into account, suggesting that metacognitions about health at least partially account for the relationship between the two. Further, results suggest that metacognitions about biased thinking may independently influence HA and pain-related disability within chronic pain.

Results demonstrate that HA and pain-related disability are not associated when taking metacognitions about health into account, suggesting that metacognitions about health at least partially account for the relationship between the two. Further, results suggest that metacognitions about biased thinking may independently influence HA and pain-related disability within chronic pain.

From early life, children are exposed to a multitude of environmental exposures, which may be of crucial importance for healthy development. Here, the environmental microbiota may be of particular interest as it represents the interface between environmental factors and the child. As infants in modern societies spend a considerable amount of time indoors, we hypothesize that the indoor bed dust microbiota might be an important factor for the child and for the early colonization of the airway microbiome. To explore this hypothesis, we analyzed the influence of environmental exposures on 577 dust samples from the beds of infants together with 542 airway samples from the Copenhagen Prospective Studies on Asthma in Childhood

cohort.

Both bacterial and fungal community was profiled from the bed dust. Bacterial and fungal diversity in the bed dust was positively correlated with each other. Bacterial bed dust microbiota was influenced by multiple environmental factors, such as type of home (house or apartment)arly life using high-throughput sequencing. Our findings demonstrate that bed dust microbiota is influenced by multiple environmental exposures and could represent an interface between environment and child. Video Abstract.

Tears play an important role in ocular surface protection, and help wild animals maintain visual acuity in the face of air and water friction. The proteomics of tears has only been described for mammals. The knowledge of the proteomics of wild animal tears can aid not only in the setting of normal standards for ocular disease studies in these animals, but also to base the search for new molecules to be used in ophthalmology therapeutics. We therefore set out to describe the proteomic profile of roadside hawk (Rupornis magnirostris), broad-snouted caiman (Caiman latirostris) and loggerhead sea turtle (Caretta caretta) tears. Tears were collected from healthy animals, their spectral profiles were obtained with an LTQ Orbitrap XL mass spectrometer, and the dataset was analyzed against reference taxa.

For roadside hawk, 446 proteins were identified, the most abundant being albumin, transferrin, globulin and actin. selleck kinase inhibitor For broad-snouted caiman and loggerhead sea turtle, 1358 and 163 proteins were identified, respectively. Uncharacterized proteins and transferrin were highly abundant in both species. The roadside hawk tear components and their properties were similar to those described for humans, but with a higher albumin concentration. Broad-snouted caiman tears presented a wide diversity of ontological functions, with an abundant presence of enzymatic compounds. In loggerhead sea turtle tears, the predominance of proteins with ion-transport functions was consistent with possible osmolality-maintenance mechanisms.

These data enhance our understanding of birds and reptiles' tears microcomposition and may be used to base the discovery of new molecules with high biotechnological potential.

These data enhance our understanding of birds and reptiles' tears microcomposition and may be used to base the discovery of new molecules with high biotechnological potential.

Public health agencies require valid, timely and complete health information for early detection of outbreaks. Towards the end of the Ebola Virus Disease (EVD) outbreak in 2015, the Ministry of Health and Sanitation (MoHS), Sierra Leone revitalized the Integrated Disease Surveillance and Response System (IDSR). Data quality assessments were conducted to monitor accuracy of IDSR data.

Starting 2016, data quality assessments (DQA) were conducted in randomly selected health facilities. Structured electronic checklist was used to interview district health management teams (DHMT) and health facility staff. We used malaria data, to assess data accuracy, as malaria was endemic in Sierra Leone. Verification factors (VF) calculated as the ratio of confirmed malaria cases recorded in health facility registers to the number of malaria cases in the national health information database, were used to assess data accuracy. Allowing a 5% margin of error, VF < 95% were considered over reporting while VF > 105 was underreporting.