A quasi-experimental study into the influence of a short-term positive psychological intervention on social anxiety, gratitude and happiness in undergraduates

The introduction of Positive Psychological Interventions (PPI’s) has been recognised to represent the ethos of the relatively novel area of Positive Psychology, regarding the value of developing positive individual traits. Numerous PPI’s have been praised for their ability to influence an individual’s experience of gratitude and happiness and reducing social anxiety. Research has suggested that focussing on these traits in undergraduates have shown benefits in academic achievement and social and moral development, therefore justifying investigating the use of the short-term ‘Three Good Things,’ intervention for influence on these variables. On completion of pre-intervention measures of social anxiety, gratitude and happiness, forty-six undergraduate students were randomly allocated to a short-term ‘Three Good Things’ intervention or an active control group, where they were required to complete the corresponding activity for one week. A series of 2x2 mixed ANOVA’s were conducted, where despite observation of positive changes in happiness and gratitude, and negative changes in social anxiety for participants in the experimental group from pre to post-intervention, all interactions were non-significant. This limits implications for the use of the ‘Three Good Things’ task on influencing these variables. However, various moderators of PPI’s have been recognised for their influence on the effectiveness of these methods, thus proposing the need for further research

Incentivising a career in older adult nursing: the views of student nurses

Background and aim: Nurse vacancy rates in older adult services are disproportionately high compared to other areas of nursing. This is partly because few student nurses consider it an attractive career option once qualified due to perceptions of low‐status, strenuous nature of the work and impoverished care environments. The study aimed to explore students' perceptions of incentives that could counterbalance the barriers for new graduate nurses joining this speciality. Methods: A qualitative descriptive design using focus group interviews was carried out with six groups of student nurses (n = 27) following completion of their acute care older adult placements in three hospitals. Data were analysed using thematic analysis. Results: The barriers from students' perspectives were constructed as a vicious cycle of staff shortages and inadequate resources that created impoverished environments leading to a dissonance between ideal and delivered care. Over one‐third of students were unlikely to consider a career in older adults nursing, but the remaining students could identify incentives that may tempt them. Four main themes and eight subthemes were identified: gerontological status and leadership (ward leadership; respected others); relational care (legitimising emotional support, care vs. cure goals); quality work environment (pay as recognition, 12‐hr shifts); and education‐career pathways (gerontological knowledge, career progression). Conclusion: Radical new approaches, based on student and nurse engagement, are required to incentivise a career in gerontological nursing. A combination of shorter and longer term strategies that include education‐career pathways, a focus on relation care, and improved work conditions including financial incentives should be trialled. Implications for practice: In terms of practice, addressing high nurse vacancy rates in older adult services that negatively impacts on patient outcomes requires a suite of incentives informed by ‘what matters’ to students and nurses working in the speciality

Teachers' concerns about pupils' mental health in a cross-sectional survey of a population sample of British schoolchildren.

BACKGROUND: Schools are becoming central to the identification and referral of children and young people with poor mental health. Understanding how well a teacher concern predicts mental disorder in a child or young person is important for mental health teams who need to respond to referrals. METHOD: This secondary analysis of the 2004 British Child and Adolescent Mental Health Survey used the first item of the Strengths and Difficulties Questionnaire (SDQ) Impact subscale to indicate concern about a child or young person's mental health. Mental disorder according to DSM IVR criteria was assessed using the multi-informant Development and Well-Being Assessment. We compared the proportion with and without mental disorder according to the presence or absence of teacher concern. RESULTS: Teacher concern was moderately predictive (49% with teacher concern had a disorder) and sensitive (teacher concern present among 56% with disorder), while lack of teacher concern was highly predictive (only 5% had disorder) and specific (94% no disorder). Teacher concern was associated with significantly poorer mental health (mean teacher SDQ total difficulty score 19.6, SD 5.6 with disorder, mean 15.0; SD 5.1 if no disorder) compared to children without teacher concern (mean 9.6, SD 5.5 with disorder, and 4.9; SD 4.3 if no disorder; F (3, 5,931) = 1527.228, p = .001). If both teacher and parents were concerned, the child or young person was much more likely to have a disorder. CONCLUSION: A lack of teacher concern can reassure mental health practitioners in the vast majority of cases. While teacher concern does identify those with poorer mental health, it is only moderately predictive of a disorder. When concerned about a child or young person, discussions with parents or others who know them may help teachers identify those who most need support. KEY PRACTITIONER MESSAGE: The emphasis on schools as a major setting to provide support and identify the need for referral to specialist mental health services means service commissioners, providers and practitioners could benefit from insight into how predictive a teacher's concern is of childhood mental health conditions and how this may vary with the type of disorder If teachers are not concerned about a child, practitioners can be reassured that there is unlikely to be a significant problem with their mental health, although this will be less certain in schools whose pupils are likely to have a higher than average levels of difficulty Teacher concerns do not necessarily differentiate between clinically impairing and mild/ moderate mental health difficulties, but do identify children in poorer mental health Asking for corroboration of concern from other sources increases the strength of the association to severe mental health disorders.Place2be Governments of England, Scotland, Wale

Impact of Obesity on Atrial Fibrillation Pathogenesis and Treatment Options

Atrial fibrillation (AF) is the most common cardiac arrhythmia. AF increases the risk of stroke, heart failure, dementia, and hospitalization. Obesity significantly increases AF risk, both directly and indirectly, through related conditions, like hypertension, diabetes, and heart failure. Obesity-driven structural and electrical remodeling contribute to AF via several reported mechanisms, including adiposity, inflammation, fibrosis, oxidative stress, ion channel alterations, and autonomic dysfunction. In particular, expanding epicardial adipose tissue during obesity has been suggested as a key driver of AF via paracrine signaling and direct infiltration. Weight loss has been shown to reverse these changes and reduce AF risk and recurrence after ablation. However, studies on how obesity affects pharmacologic or interventional AF treatments are limited. In this review, we discuss mechanisms by which obesity mediates AF and treatment outcomes, aiming to provide insight into obesity-drug interactions and guide personalized treatment for this patient subgroup.</p

Validation of Reference Genes for Gene Expression Studies by RT-qPCR in HepaRG Cells during Toxicity Testing and Disease Modelling

Gene expression analysis by quantitative real-time polymerase chain reaction (RT-qPCR) is routinely used in biomedical studies. The reproducibility and reliability of the data fundamentally depends on experimental design and data interpretation. Despite the wide application of this assay, there is significant variation in the validation process of gene expression data from research laboratories. Since the validity of results depends on appropriate normalisation, it is crucial to select appropriate reference gene(s), where transcription of the selected gene is unaffected by experimental setting. In this study we have applied geNorm technology to investigate the transcription of 12 &lsquo;housekeeping&rsquo; genes for use in the normalisation of RT-qPCR data acquired using a widely accepted HepaRG hepatic cell line in studies examining models of pre-clinical drug testing. geNorm data identified a number of genes unaffected by specific drug treatments and showed that different genes remained invariant in response to different drug treatments, whereas the transcription of &lsquo;classical&rsquo; reference genes such as GAPDH (glyceralde- hyde-3-phosphate dehydrogenase) was altered by drug treatment. Comparing data normalised using the reference genes identified by geNorm with normalisation using classical housekeeping genes demonstrated substantial differences in the final results. In light of cell therapy application, RT-qPCR analyses has to be carefully evaluated to accurately interpret data obtained from dynamic cellular models undergoing sequential stages of phenotypic change

Application of Impedance-Based Techniques in Hepatology Research

There are a variety of end-point assays and techniques available to monitor hepatic cell cultures and study toxicity within in vitro models. These commonly focus on one aspect of cell metabolism and are often destructive to cells. Impedance-based cellular assays (IBCAs) assess biological functions of cell populations in real-time by measuring electrical impedance, which is the resistance to alternating current caused by the dielectric properties of proliferating of cells. While the uses of IBCA have been widely reported for a number of tissues, specific uses in the study of hepatic cell cultures have not been reported to date. IBCA monitors cellular behaviour throughout experimentation non-invasively without labelling or damage to cell cultures. The data extrapolated from IBCA can be correlated to biological events happening within the cell and therefore may inform drug toxicity studies or other applications within hepatic research. Because tight junctions comprise the blood/biliary barrier in hepatocytes, there are major consequences when these junctions are disrupted, as many pathologies centre around the bile canaliculi and flow of bile out of the liver. The application of IBCA in hepatology provides a unique opportunity to assess cellular polarity and patency of tight junctions, vital to maintaining normal hepatic function. Here, we describe how IBCAs have been applied to measuring the effect of viral infection, drug toxicity/IC50, cholangiopathies, cancer metastasis and monitoring of the gut-liver axis. We also highlight key areas of research where IBCAs could be used in future applications within the field of hepatology

Genomic selection and genetic gain for nut yield in an Australian macadamia breeding population

Improving yield prediction and selection efficiency is critical for tree breeding. This is vital for macadamia trees with the time from crossing to production of new cultivars being almost a quarter of a century. Genomic selection (GS) is a useful tool in plant breeding, particularly with perennial trees, contributing to an increased rate of genetic gain and reducing the length of the breeding cycle. We investigated the potential of using GS methods to increase genetic gain and accelerate selection efficiency in the Australian macadamia breeding program with comparison to traditional breeding methods. This study evaluated the prediction accuracy of GS in a macadamia breeding population of 295 full-sib progeny from 32 families (29 parents, reciprocals combined), along with a subset of parents. Historical yield data for tree ages 5 to 8 years were used in the study, along with a set of 4113 SNP markers. The traits of focus were average nut yield from tree ages 5 to 8 years and yield stability, measured as the standard deviation of yield over these 4 years. GBLUP GS models were used to obtain genomic estimated breeding values for each genotype, with a five-fold cross-validation method and two techniques: prediction across related populations and prediction across unrelated populations