Environmental transmission of a personality trait: foster parent exploration behaviour predicts offspring exploration behaviour in zebra finches

Consistent behavioural differences among individuals are common in many species and can have important effects on offspring fitness. To understand such ‘personality’ variation, it is important to determine the mode ofinheritance, but this has been quantified for only a few species. Here, we report results from a breeding experiment in captive zebra finches, Taeniopygia guttata, in which we cross-fostered offspring to disentangle the importance of genetic and nongenetic transmission of behaviour. Genetic and foster-parents’ exploratory type was measured in a novel environment pre-breeding and offspring exploratory type was assessed at adulthood. Offspring exploratory type was predicted by the exploratory behaviour of the foster but not the genetic parents, whereas offspring sizewas predicted by genetic but not foster-parents’ size. Other aspects of the social environment, such as rearing regime (uni- versus biparental), hatching position, brood size or an individual’s sex did not influence offspring exploration. Our results therefore indicate that non-genetic transmission of behaviour can play an important role in shaping animal personality variation

Bayesian inference in camera trapping studies for a class of spatial capture-recapture models

We develop a class of models for inference about abundance or density using spatial capture-recapture data from studies based on camera trapping and related methods. The model is a hierarchical model composed of two components: a point process model describing the distribution of individuals in space (or their home range centers) and a model describing the observation of individuals in traps. We suppose that trap- and individual-specific capture probabilities are a function of distance between individual home range centers and trap locations. We show that the models can be regarded as generalized linear mixed models, where the individual home range centers are random effects. We adopt a Bayesian framework for inference under these models using a formulation based on data augmentation. We apply the models to camera trapping data on tigers from the Nagarahole Reserve, India, collected over 48 nights in 2006. For this study, 120 camera locations were used, but cameras were only operational at 30 locations during any given sample occasion. Movement of traps is common in many camera-trapping studies and represents an important feature of the observation model that we address explicitly in our application

The clinical and cost-effectiveness of patient education models for diabetes : a systematic review and economic evaluation

Description of the proposed service This systematic review examines the clinical and cost-effectiveness of patient education models for adults with Type 1 or Type 2 diabetes. Epidemiology and background Diabetes mellitus (diabetes) is characterised by a state of chronic hyperglycaemia (raised blood sugar). There are two main types of diabetes: Type 1 and Type 2. Type 1 diabetes is an autoimmune condition involving a process of destruction of the beta cells of the pancreas, leading to severe insulin deficiency. About one-fifth of patients with diabetes in England and Wales have Type 1 diabetes. Type 2 diabetes is characterised by insulin resistance and relative insulin deficiency and is linked to being overweight or obese, and to physical inactivity. Type 2 diabetes primarily affects people aged over 40 years. The basic target in the treatment of diabetes is the normalisation of blood glucose levels. Poor control of diabetes can in the short term result in diabetic ketoacidosis, a serious and potentially fatal condition, and in the long term can increase the risk of complications such as diabetic retinopathy and nephropathy. However, studies have shown that good diabetic control is associated with a reduced risk of these complications. Diabetic control is affected by both lifestyle factors such as diet, and by pharmacological treatments, and the management of diabetes is largely the responsibility of patients. A key component in empowering patients to manage their own diabetes is education. Education of patients with diabetes is considered a fundamental aspect of diabetes care and aims to empower patients by improving knowledge and skills. Structured educational programmes for diabetes self-management are often multifaceted interventions providing patients with information not only about diabetes but also management issues such as diet, exercise, self-monitoring of blood glucose and medication use. Methods A systematic review of the literature and an economic evaluation were undertaken. Data sources Electronic databases were searched, including the Cochrane Library, MEDLINE, EMBASE, PubMed, Science Citation Index, Web of Science Proceedings, DARE and HTA databases, PsychINFO, CINAHL, NHS Economic Evaluation Database and EconLit. References of all retrieved articles were checked for relevant studies, and experts were contacted for advice and peer review and to identify additional published and unpublished references. Sponsor submissions to the National Institute for Clinical Excellence were reviewed. Study selection Studies were included if they fulfilled the following criteria: Interventions: educational interventions compared with usual care or another educational intervention. Participants: adults with Type 1 or Type 2 diabetes mellitus. Outcomes: must report glycated haemoglobin, hypoglycaemic episodes, diabetic complications or quality of life. Other reported outcomes from included studies were discussed. Evaluation of outcomes >12 months from inception of intervention. Design: randomised clinical trials (RCTs), and controlled clinical trial (CCTs) with a concurrent control were included. Reporting: studies were only included if they reported sufficient detail of the intervention to be reproducible (e.g. topics covered, who provided the education, how many sessions were available). Studies in non-English language or available only as abstracts were excluded. Titles and abstracts were checked by two reviewers. Full texts of selected studies were assessed for inclusion by one reviewer and checked by a second. Differences in opinion were resolved through discussion. Data extraction and quality assessment Data extraction and quality assessment were undertaken by one reviewer and checked by a second, with any disagreement resolved through discussion involving a third reviewer if necessary. The quality of included studies was assessed in accordance with Centre for Reviews and Dissemination Report 4. Data synthesis Data on clinical effectiveness were synthesised through a narrative review with tabulation of results from included studies. Studies were too diverse to be combined in a meta-analysis. Cost-effectiveness analyses were reported in a narrative review. Number and quality of studies Searches identified 24 studies comparing education with either a control group or with another educational intervention. These were 18 RCTs and six CCTs. Four studies included adults with Type 1 diabetes, 16 studies included adults with Type 2 diabetes and four studies included adults with either Type 1 or Type 2 diabetes. The quality of reporting and methodology of the studies was generally poor by today’s standards with only two RCTs reporting adequate randomisation procedures and none demonstrating adequate allocation concealment. Economic evaluations Literature searches identified only two studies reporting cost-effectiveness results: one cost-utility analysis and one cost-effectiveness analysis using intermediate outcomes only. Summary of benefits Studies of education in Type 1 diabetes suggest that education programmes offered as a part of intensified treatment interventions can result in significant and long-lasting improvements in metabolic control and reductions in complications. These are studies in which education is part of a package of care also including treatment changes (for example diet and insulin) and therefore it is not possible to draw conclusions about potential effects of education per se in Type 1 diabetes. Diverse educational programmes in Type 2 diabetes did not yield consistent results. Although some trials reported significant improvements in metabolic control and/or quality of life or other psychological outcomes, many others did not report significant effects of educational interventions. No clear characterisation is possible as to what features of education may be beneficial in this patient group. Studies that included patients with either Type 1 or Type 2 diabetes also produced mixed results with only poorer quality studies reporting significant effects. Costs Literature searches identified a small number of studies offering cost data in relation to patient education models. These were all studies undertaken outside the UK and they covered a variety of methodologies. We are not able to generalise from these studies as to the cost-effectiveness of patient education models. Patient education models will predominantly consist of direct costs for resource inputs to particular education packages, for example staff time (diabetes specialist nurse, dietitian and/or consultant) and education materials. The Dose Adjustment for Normal Eating (DAFNE) intervention is estimated to cost approximately £545 per person attending. Costs per life year gained Owing to the absence of accurate data on health outcomes, we are not able to provide cost-effectiveness summary statistics. The evidence base does indicate that improved glycaemic control is likely to have a positive impact on the incidence of long-term diabetic complications. Therefore, where the costs associated with patient education are assumed to be in the region of £500–600 per patient, the benefits over time would have to be very modest to offer an attractive cost-effectiveness profile for the intervention. The submission from the DAFNE study group predicts a scenario in which the DAFNE intervention results in cost savings and added health benefits over time, when compared with usual practice. Implications The main implication for the NHS would be staff time, particularly of diabetes specialist nurses, but also dietitians. Provision of increased education may be hindered by a shortage of trained specialist nurses, which will take some years to resolve. Future research needs The paucity of high-quality trials that have tested education per se in diabetes reveals a need for more research. Such research should focus on RCTs with clear designs based on explicit hypotheses and with a range of outcomes evaluated after long follow-up intervals. In order to draw conclusions about the effects of education alone, such trials should manipulate only education rather than confounding education with other factors

Promoting adherence to nebulized therapy in cystic fibrosis: poster development and a qualitative exploration of adherence

Background: Cystic fibrosis (CF) health care professionals recognize the need to motivate people with CF to adhere to nebulizer treatments, yet little is known about how best to achieve this. We aimed to produce motivational posters to support nebulizer adherence by using social marketing involving people with CF in the development of those posters. Methods: The Sheffield CF multidisciplinary team produced preliminary ideas that were elaborated upon with semi-structured interviews among people with CF to explore barriers and facilitators to the use of nebulized therapy. Initial themes and poster designs were refined using an online focus group to finalize the poster designs. Results: People with CF preferred aspirational posters describing what could be achieved through adherence in contrast to posters that highlighted the adverse consequences of nonadherence. A total of 14 posters were produced through this process. Conclusion: People with CF can be engaged to develop promotional material to support adherence, providing a unique perspective differing from that of the CF multidisciplinary team. Further research is needed to evaluate the effectiveness of these posters to support nebulizer adherence

Marketing a tourism industry in late stage decline: The case of the Isle of Man

Qualitative interviews in the Isle of Man uncovered local perceptions of a tourism industry in late stage decline. Social impacts of decline are pronounced including facilities loss, cultural changes and a heightening of perceived peripherality: which taken together undermine local identity. Tourists are welcomed as they help to affirm the pride residents have in their island in creating a more active atmosphere, provide social interaction opportunities and to combat negative stereotyping. Thus findings emphasise the diverse, unique and persistent benefits of tourism in the Isle of Man, despite its decline. Destination marketing recommendations are therefore made to better address the experiences and desires of communities experiencing decline

A tree-decomposed transfer matrix for computing exact Potts model partition functions for arbitrary graphs, with applications to planar graph colourings

Combining tree decomposition and transfer matrix techniques provides a very general algorithm for computing exact partition functions of statistical models defined on arbitrary graphs. The algorithm is particularly efficient in the case of planar graphs. We illustrate it by computing the Potts model partition functions and chromatic polynomials (the number of proper vertex colourings using Q colours) for large samples of random planar graphs with up to N=100 vertices. In the latter case, our algorithm yields a sub-exponential average running time of ~ exp(1.516 sqrt(N)), a substantial improvement over the exponential running time ~ exp(0.245 N) provided by the hitherto best known algorithm. We study the statistics of chromatic roots of random planar graphs in some detail, comparing the findings with results for finite pieces of a regular lattice.Comment: 5 pages, 3 figures. Version 2 has been substantially expanded. Version 3 shows that the worst-case running time is sub-exponential in the number of vertice

Tigers on trails: occupancy modeling for cluster sampling

Occupancy modeling focuses on inference about the distribution of organisms over space, using temporal or spatial replication to allow inference about the detection process. Inference based on spatial replication strictly requires that replicates be selected randomly and with replacement, but the importance of these design requirements is not well understood. This paper focuses on an increasingly popular sampling design based on spatial replicates that are not selected randomly and that are expected to exhibit Markovian dependence. We develop two new occupancy models for data collected under this sort of design, one based on an underlying Markov model for spatial dependence and the other based on a trap response model with Markovian detections. We then simulated data under the model for Markovian spatial dependence and fit the data to standard occupancy models and to the two new models. Bias of occupancy estimates was substantial for the standard models, smaller for the new trap response model, and negligible for the new spatial process model. We also fit these models to data from a large-scale tiger occupancy survey recently conducted in Karnataka State, southwestern India. In addition to providing evidence of a positive relationship between tiger occupancy and habitat, model selection statistics and estimates strongly supported the use of the model with Markovian spatial dependence. This new model provides another tool for the decomposition of the detection process, which is sometimes needed for proper estimation and which may also permit interesting biological inferences. In addition to designs employing spatial replication, we note the likely existence of temporal Markovian dependence in many designs using temporal replication. The models developed here will be useful either directly, or with minor extensions, for these designs as well. We believe that these new models represent important additions to the suite of modeling tools now available for occupancy estimation in conservation monitoring. More generally, this work represents a contribution to the topic of cluster sampling for situations in which there is a need for specific modeling (e.g., reflecting dependence) for the distribution of the variable(s) of interest among subunits

Influence of thickening of the inner skull table on intracranial volume measurement in older people

INTRODUCTION: It is generally assumed that intracranial volume (ICV) remains constant after peaking in early adulthood. Thus ICV is used as a ‘proxy’ for original brain size when trying to estimate brain atrophy in older people in neuroimaging studies. However, physiological changes in the skull, such as thickening of the frontal inner table, are relatively common in older age and will reduce ICV. The potential influence that inner table skull thickening may have on ICV measurement in old age has yet to be investigated. METHODS: We selected 60 (31 males, 29 females) representative older adults aged 71.1–74.3 years from a community-dwelling ageing cohort, the Lothian Birth Cohort 1936. A semi-automatically derived current ICV measurement obtained from high resolution T1-weighted volume scans was compared to the estimated original ICV by excluding inner skull table thickening using expert manual image processing. RESULTS: Inner table skull thickening reduced ICV from an estimated original 1480.0 ml to a current 1409.1 ml, a median decrease of 7.3% (Z = − 6.334; p < 0.001), and this reduction was more prominent in women than men (median decrease 114.6 vs. 101.9 ml respectively). This led to potential significant underestimations of brain atrophy in this sample by 5.3% (p < 0.001) and obscured potential gender differences. CONCLUSIONS: The effects of skull thickening are important to consider when conducting research in ageing, as they can obscure gender differences and result in underestimation of brain atrophy. Research into reliable methods of determining the estimated original ICV is required for research into brain ageing