University of Brighton

This paper presents a revised version of the Illness Perception Questionnaire (IPQ-R), a recently developed and widely used quantitative measure of the five components of illness representations in Leventhal's self-regulatory model. The revised version stemmed from a need to deal with minor psychometric problems with two subscales, and to include additional subscales, assessing cyclical timeline perceptions, illness coherence, and emotional representations. Item selection was determined by principal components analyses which verified the factorial structure of the questionnaire in a sample of 711 patients from 8 different illness groups. Further analysis provided good evidence for both the internal reliability of the subscales and the short (3 week) and longer term (6 month) retest reliability. The IPQ-R also demonstrated sound discriminant, known group and predictive validity. While it is possible that the new subscales will vary in their applicability in different patient groups, the IPQ-R provides a more comprehensive and psychometrically acceptable assessment of the key components of patients' perceptions of illness.

The emergence of new sequencing technologies has facilitated the use of bacterial whole genome alignments for evolutionary studies and outbreak analyses. These datasets, of increasing size, often include examples of multiple different mechanisms of horizontal sequence transfer resulting in substantial alterations to prokaryotic chromosomes. The impact of these processes demands rapid and flexible approaches able to account for recombination when reconstructing isolates' recent diversification. Gubbins is an iterative algorithm that uses spatial scanning statistics to identify loci containing elevated densities of base substitutions suggestive of horizontal sequence transfer while concurrently constructing a maximum likelihood phylogeny based on the putative point mutations outside these regions of high sequence diversity. Simulations demonstrate the algorithm generates highly accurate reconstructions under realistically parameterized models of bacterial evolution, and achieves convergence in only a few hours on alignments of hundreds of bacterial genome sequences. Gubbins is appropriate for reconstructing the recent evolutionary history of a variety of haploid genotype alignments, as it makes no assumptions about the underlying mechanism of recombination. The software is freely available for download at github.com/sanger-pathogens/Gubbins, implemented in Python and C and supported on Linux and Mac OS X.

The SOC-8 guidelines are intended to be flexible to meet the diverse health care needs of TGD people globally. While adaptable, they offer standards for promoting optimal health care and guidance for the treatment of people experiencing gender incongruence. As in all previous versions of the SOC, the criteria set forth in this document for gender-affirming medical interventions are clinical guidelines; individual health care professionals and programs may modify these in consultation with the TGD person.

Abstract This paper presents a novel method for assessing cognitive representations of medication: the Beliefs about Medicines Questionnaire (BMQ). The BMQ comprises two sections: the BMQ-Specific which assesses representations of medication prescribed for personal use and the BMQ-General which assesses beliefs about medicines in general. The pool of test items was derived from themes identified in published studies and from interviews with chronically ill patients. Principal Component Analysis (PCA) of the test items resulted in a logically coherent, 18 item, 4-factor structure which was stable across various illness groups. The BMQ-Specific comprises two 5-item factors assessing beliefs about the necessity of prescribed medication (Specific-Necessity) and concerns about prescribed medication based on beliefs about the danger of dependence and long-term toxicity and the disruptive effects of medication (Specific-Concerns). The BMQ-General comprises two 4-item factors assessing beliefs that medicines are harmful, addictive, poisons which should not be taken continuously (General-Horn) and that medicines are overused by doctors (General-Overuse). The two sections of the BMQ can be used in combination or separately. The paper describes the development of the BMQ scales and presents data supporting their reliability and their criterion-related and discriminant validity.

Applications of nanotechnology for treatment, diagnosis, monitoring, and control of biological systems has recently been referred to as "nanomedicine" by the National Institutes of Health. Research into the rational delivery and targeting of pharmaceutical, therapeutic, and diagnostic agents is at the forefront of projects in nanomedicine. These involve the identification of precise targets (cells and receptors) related to specific clinical conditions and choice of the appropriate nanocarriers to achieve the required responses while minimizing the side effects. Mononuclear phagocytes, dendritic cells, endothelial cells, and cancers (tumor cells, as well as tumor neovasculature) are key targets. Today, nanotechnology and nanoscience approaches to particle design and formulation are beginning to expand the market for many drugs and are forming the basis for a highly profitable niche within the industry, but some predicted benefits are hyped. This article will highlight rational approaches in design and surface engineering of nanoscale vehicles and entities for site-specific drug delivery and medical imaging after parenteral administration. Potential pitfalls or side effects associated with nanoparticles are also discussed.

Abstract The Illness Perception Questionnaire (IPQ) is a new method for assessing cognitive representations of illness. The IPQ is a theoretically derived measure comprising five scales that provides information about the five components that have been found to underlie the cognitive representation of illness. The five scales assess identity - the symptoms the patient associates with the illness, cause - personal ideas about aetiology, time-line - the perceived duration of the illness, consequences - expected effects and outcome and cure control - how one controls or recovers from the illness. The IPQ has a specific number of core items but allows the user to add items for particular patient groups or health threats. Data is presented supporting the reliability and validity of the IPQ scales in different chronic illness populations.

Rapidly decreasing genome sequencing costs have led to a proportionate increase in the number of samples used in prokaryotic population studies. Extracting single nucleotide polymorphisms (SNPs) from a large whole genome alignment is now a routine task, but existing tools have failed to scale efficiently with the increased size of studies. These tools are slow, memory inefficient and are installed through non-standard procedures. We present SNP-sites which can rapidly extract SNPs from a multi-FASTA alignment using modest resources and can output results in multiple formats for downstream analysis. SNPs can be extracted from a 8.3 GB alignment file (1842 taxa, 22 618 sites) in 267 seconds using 59 MB of RAM and 1 CPU core, making it feasible to run on modest computers. It is easy to install through the Debian and Homebrew package managers, and has been successfully tested on more than 20 operating systems. SNP-sites is implemented in C and is available under the open source license GNU GPL version 3.

This paper explores snowball sampling, a recruitment method that employs research into participants' social networks to access specific populations. Beginning with the premise that research is ‘formed’, the paper offers one account of snowball sampling and using social networks to ‘make’ research. Snowball sampling is often used because the population under investigation is ‘hidden’ either due to low numbers of potential participants or the sensitivity of the topic, for example, research with women who do not fit within the hegemonic heterosexual norm. This paper considers how the recruitment technique of snowball sampling, which uses interpersonal relations and connections between people, both includes and excludes individuals. Following this, the paper contends that due to the use of social networks and interpersonal relations, snowball sampling (in)forms how individuals act and interact in focus groups, couple interviews and interviews. Consequently, snowball sampling not only results in the recruitment of particular samples, use of this technique produces participants' accounts of their lives. Doctoral research with (rather than on or for) 28 non‐heterosexual women is used to examine the inclusions and exclusions of snowball sampling and how interpersonal relations form research accounts.

Poly(ethylenimine) (PEI) is a cationic macromolecule commonly used in gene transfer/therapy protocols with high transfection efficiency both in vitro and in vivo. PEI is also cytotoxic, but the molecular basis of its cytotoxicity is poorly understood. Here, we have demonstrated that branched (25 kDa) and linear (750 kDa) PEI can both induce membrane damage and initiate apoptosis in three clinically relevant human cell lines (Jurkat T cells, umbilical vein endothelial cells, and THLE3 hepatocyte-like cells). We have defined Phase I toxicity as early necrotic-like changes (30 min) resulting from compromised membrane integrity, assessed by considerable lactate dehydrogenase release and phosphatidylserine translocation from the inner plasma membrane to the outer cell surface. Phase II cytotoxicity (24 h) was due to activation of a "mitochondrially mediated apoptotic program," resulting from PEI-induced channel formation in the outer mitochondrial membrane. This led to the release of proapoptotic cytochrome c, subsequent activation of caspase 3, and alteration in mitochondrial membrane potential as a result of caspase translocation into the mitochondria. The reported observations have important implications for the design and execution of gene therapy protocols as well for controlling intracellular distribution of drugs with cationic-based polymer-delivery systems.

This article argues that to understand higher education student retention, equal emphasis needs to be placed on successful integration into the social world of the university as into the academic world. To date, sociological research reflecting first‐year students’ perceptions of the processes involved in developing social lives at university is scarce. Here the concept of ‘social support’ is used to analyse interviews with 34 first‐year students, investigating the processes through which social integration (or lack of it) influenced their decision as to whether or not to leave university. Our data support the claim that making compatible friends is essential to retention, and that students’ living arrangements are central to this process. Such friends provide direct emotional support, equivalent to family relationships, as well as buffering support in stressful situations. Course friendships and relationships with personal tutors are important but less significant, providing primarily instrumental, informational and appraisive support.

A revised and refined version of the O'Carroll et al. (1996) nomenclature for suicidology is presented, with a focus on suicide‐related ideations, communications, and behaviors. The hope is that this refinement will result in the development of operational definitions and field testing of this nomenclature in clinical and research settings. This revision would not have been possible without the international collaboration and dialogue addressing the nomenclature of suicidology since the O'Carroll et al. nomenclature appeared in 1996. Although it is doubtful that we will ever be able to construct universally unambiguous criteria to comprehensively characterize suicidal behaviors (and, overall, firmly establish the intention behind them), for scientific clarity it would be highly desirable that the set of definitions and the associated terminology be explicit and generalizable. De Leo, Burgis, Bertolote, Kerkhof, & Bille‐Brahe, 2006 , p. 5)

When running indoors on a treadmill, the lack of air resistance results in a lower energy cost compared with running outdoors at the same velocity. A slight incline of the treadmill gradient can be used to increase the energy cost in compensation. The aim of this study was to determine the treadmill gradient that most accurately reflects the energy cost of outdoor running. Nine trained male runners, thoroughly habituated to treadmill running, ran for 6 min at six different velocities (2.92, 3.33, 3.75, 4.17, 4.58 and 5.0 m s-1) with 6 min recovery between runs. This routine was repeated six times, five times on a treadmill set at different grades (0%, 0%, 1%, 2%, 3%) and once outdoors along a level road. Duplicate collections of expired air were taken during the final 2 min of each run to determine oxygen consumption. The repeatability of the methodology was confirmed by high correlations (r = 0.99) and non-significant differences between the duplicate expired air collections and between the repeated runs at 0% grade. The relationship between oxygen uptake (VO2) and velocity for each grade was highly linear (r > 0.99). At the two lowest velocities, VO2 during road running was not significantly different from treadmill running at 0% or 1% grade, but was significantly less than 2% and 3% grade. For 3.75 m s-1, the VO2 during road running was significantly different from treadmill running at 0%, 2% and 3% grades but not from 1% grade. For 4.17 and 4.58 m s-1, the VO2 during road running was not significantly different from that at 1% or 2% grade but was significantly greater than 0% grade and significantly less than 3% grade. At 5.0 m s-1, the VO2 for road running fell between the VO2 value for 1% and 2% grade treadmill running but was not significantly different from any of the treadmill grade conditions. This study demonstrates equality of the energetic cost of treadmill and outdoor running with the use of a 1% treadmill grade over a duration of approximately 5 min and at velocities between 2.92 and 5.0 m s-1.

The Web, teeming as it is with language data, of all manner of varieties and languages, in vast quantity and freely available, is a fabulous linguists' playground. This special issue of Computational Linguistics explores ways in which this dream is being explored.

The present study was designed to evaluate the degree to which variations in reported adherence to preventer medication for asthma could be explained by two sets of beliefs: perceptions of asthma and perceptions of asthma medication (beliefs about its necessity and concerns over its use). It also begins the empirical testing of an extended self-regulatory model, which includes treatment beliefs as well as illness perceptions. Using a cross-sectional design, 100 community-based patients completed validated questionnaires assessing their perceptions of asthma, beliefs about preventer inhalers and reported adherence to them. The findings showed that non-adherent behaviours were associated with doubts about the necessity of medication and concerns about its potential adverse effects and with more negative perceived consequences of illness. A hierarchical linear regression analysis revealed that socio-demographic and clinical factors explained only a small amount of variance in adherence whereas illness perceptions and treatment beliefs were both more substantial independent predictors. The best fit Amos analysis showed that illness perceptions influenced adherence both directly and indirectly via treatment beliefs, which, in turn, were the strongest predictors. The findings lend preliminary support for an extended self-regulatory model of treatment adherence, which incorporates beliefs about treatment as well as illness perceptions.

The claim that high levels of engagement can enhance organizational performance and individual well‐being has not previously been tested through a systematic review of the evidence. To bring coherence to the diffuse body of literature on engagement, the authors conducted a systematic synthesis of narrative evidence involving 214 studies focused on the meaning, antecedents and outcomes of engagement. The authors identified six distinct conceptualizations of engagement, with the field dominated by the Utrecht Group's ‘work engagement’ construct and measure, and by the theorization of engagement within the ‘job demands–resources’ framework. Five groups of factors served as antecedents to engagement: psychological states; job design; leadership; organizational and team factors; and organizational interventions. Engagement was found to be positively associated with individual morale, task performance, extra‐role performance and organizational performance, and the evidence was most robust in relation to task performance. However, there was an over‐reliance on quantitative, cross‐sectional and self‐report studies within the field, which limited claims of causality. To address controversies over the commonly used measures and concepts in the field and gaps in the evidence‐base, the authors set out an agenda for future research that integrates emerging critical sociological perspectives on engagement with the psychological perspectives that currently dominate the field.

This review introduces some commonly used methods for assessing the performance of a diagnostic test. The sensitivity, specificity and likelihood ratio of a test are discussed. The uses of the receiver operating characteristic curve and the area under the curve are explained.

The highly infectious and pathogenic novel coronavirus (CoV), severe acute respiratory syndrome (SARS)-CoV-2, has emerged causing a global pandemic. Although COVID-19 predominantly affects the respiratory system, evidence indicates a multisystem disease which is frequently severe and often results in death. Long-term sequelae of COVID-19 are unknown, but evidence from previous CoV outbreaks demonstrates impaired pulmonary and physical function, reduced quality of life and emotional distress. Many COVID-19 survivors who require critical care may develop psychological, physical and cognitive impairments. There is a clear need for guidance on the rehabilitation of COVID-19 survivors. This consensus statement was developed by an expert panel in the fields of rehabilitation, sport and exercise medicine (SEM), rheumatology, psychiatry, general practice, psychology and specialist pain, working at the Defence Medical Rehabilitation Centre, Stanford Hall, UK. Seven teams appraised evidence for the following domains relating to COVID-19 rehabilitation requirements: pulmonary, cardiac, SEM, psychological, musculoskeletal, neurorehabilitation and general medical. A chair combined recommendations generated within teams. A writing committee prepared the consensus statement in accordance with the appraisal of guidelines research and evaluation criteria, grading all recommendations with levels of evidence. Authors scored their level of agreement with each recommendation on a scale of 0-10. Substantial agreement (range 7.5-10) was reached for 36 recommendations following a chaired agreement meeting that was attended by all authors. This consensus statement provides an overarching framework assimilating evidence and likely requirements of multidisciplinary rehabilitation post COVID-19 illness, for a target population of active individuals, including military personnel and athletes.

A qualitative analysis of the various outcomes of a drop impact on solid surfaces with different roughness and wettability is carried out. Water, ethanol, different mixtures of glycerin and water, liquid alloys, and silicone oil were used to provide a wide range of material properties such as surface tension, viscosity, and density. The impact velocity was varied by moving the drop generator vertically with respect to the plate. Also two drop diameter classes were considered. A variation of roughness amplitude and wavelength was achieved using a laser ablation process on polyvinyl chloride and glass substrates, creating a deterministic microstructure. A highly nonwettable rough surface was prepared with alkylketene dimer (AKD) [1]. A first classification of the different outcomes, in terms of splash, rebound, partial rebound, deposition, and other features, is presented.

This paper presents a model of project capability-building consisting of two interacting levels of learning. First, it describes the bottom-up, ‘project-led’ phases of learning that occur when a firm moves into a new technology/market base: an exploratory ‘vanguard project’ phase; a ‘project-to-project’ phase to capture lessons learned; and a ‘project-to-organization’ phase when an organization increases its capabilities to deliver many projects. Second, it addresses the ‘business-led’ learning (within which the project-led learning is embedded) that occurs when ‘top-down’ strategic decisions are taken to create and exploit the company-wide resources and capabilities required to perform increasingly predictable and routine project activities.

Situations where normal autografts cannot be used to replace damaged skin often lead to a greater risk of mortality, prolonged hospital stay and increased expenditure for the National Health Service. There is a substantial need for tissue-engineered skin bioconstructs and research is active in this field. Significant progress has been made over the years in the development and clinical use of bioengineered components of the various skin layers. Off-the-shelf availability of such constructs, or production of sufficient quantities of biological materials to aid rapid wound closure, are often the only means to help patients with major skin loss. The aim of this review is to describe those materials already commercially available for clinical use as well as to give a short insight to those under development. It seeks to provide skin scientists/tissue engineers with the information required to not only develop in vitro models of skin, but to move closer to achieving the ultimate goal of an off-the-shelf, complete full-thickness skin replacement.