An International Survey of Animals in Schools: Exploring What Sorts of Schools Involve What Sorts of Animals, and Educators’ Rationales for These Practices

Over recent decades, the use of animal-assisted interventions (AAIs) in educational settings has attracted growing international interest both among educators and the research community. However, there has been little comparative analysis of the demographics of participants and the rationale behind such practices. The aim of this paper is to address this. An anonymous online questionnaire was distributed via social media and other networks. Quanti-tative and qualitative data were collected from 610 participants across 23 countries, mostly from the United Kingdom and North America. In total, 315 (51.6%) participants reported involving animals in their settings. The results show that although animals featured from preschool to adult education contexts, the primary school years (5–11) accounted for 60% of responses. More than 30 different species were reported, with dogs being the most popular. The overriding reason educators give for involving animals is the perception that they make an important contribution to children’s well-being. Practices around the involvement of dogs provide a focus for discussion. The research breaks new ground in highlighting commonalities and contrasts in school demographics associated with the involvement of animals across a range of international contexts. It also points to a consensus around the perceived well-being benefits for children of such interventions. For practitioners, the paper has value in prompting reflection on the need for a clear rationale before embarking on such an intervention, and highlights practical considerations needed before bringing an animal into an educational setting. The paper also suggests potential areas for future research, relating to possible benefits for and agency of the animals who are involved

Measuring the Impact of COVID-19 on Early Education and Care in the UK: Perspectives of Teachers and Practitioners

COVID-19 has impacted all aspects of society, and especially education. However, families and children are often hardest hit "Lockdown has been a seismic shock for every family" (Saunders and Hogg, 2020), particularly for vulnerable families (Conti, 2020). Related research suggests that childcare providers will have been financially impacted during the lockdown period (Blanden et al., 2020). There is thus much to be concerned in terms of the access and quality of young children’s education and care; however, little evidence is available to ascertain the impact of COVID-19 on early years settings, practitioners and children. Much of the media focus has been on school-age learners or higher education (Watermeyer et al., 2020); measuring this impact on Early Childhood Education and Care (ECEC) is vital to better understand this essential societal provision for supporting the education of our youngest learners. This paper reports on a project which explored the impact of the COVID-19 pandemic on UK ECEC provision.Policy and guidance documents abound across the four UK nations, providing ECEC settings with detailed information about current regulations. The voluntary sector has also been key to providing operational advice (NDNA, 2020). However, little empirical research exists to date that captures and analyses the experiences of ECEC settings in their efforts to translate this emerging policy into practice, as well as the impact this is having on practitioners’ workplace, themselves and the children in their care.This research aims to explore the perspectives of the UK’s ECEC workforce using a realistic epistemological position to gather quantitative and qualitative data from an anonymous online survey. The online survey has been completed by over 400 practitioners, childcare workers, setting managers, and teachers working with children aged 0-8 years old across the UK. The survey explored the impact of any changes that had been made within settings as a result of the pandemic, especially new ways of working. The survey also examined practitioner perceptions of these changes; focusing on the impact of coronavirus on early years pedagogy, practitioners and children. Initial analysis suggestions some of the following findings; the impact of COVID-19 has negatively impacted on the health and wellbeing of ECEC staff and children, with management facing challenges in adhering to the evolving regulations. Parents have expressed their concerns about the changes in available childcare hours, and to not being able to enter premises and meaningfully engage with staff and children. A number of respondents were concerned about the financial sustainability of the sector, potentially requiring government support to ensure that services remain available and accessible to all.The findings from this research provide vital insight into UK ECEC settings, acknowledging the crisis response to the pandemic and the short, medium and longer-term impact of COVID-19 on learners and practitioners, as well as the potential for reimagining learning if/when we revert to a post-COVID normal. We aim to inform emerging policy and practice across the four nations of the UK, to better support settings in dealing with current and future scenarios of this kind

Anxiety disorders and age-related changes in physiology

Background Anxiety disorders are leading contributors to the global disease burden, highly prevalent across the lifespan and associated with substantially increased morbidity and early mortality. Aims The aim of this study was to examine age-related changes across a wide range of physiological measures in middle-aged and older adults with a lifetime history of anxiety disorders compared with healthy controls. Method The UK Biobank study recruited >500 000 adults, aged 37-73, between 2006 and 2010. We used generalised additive models to estimate non-linear associations between age and hand-grip strength, cardiovascular function, body composition, lung function and heel bone mineral density in a case group and in a control group. Results The main data-set included 332 078 adults (mean age 56.37 years; 52.65% women). In both genders, individuals with anxiety disorders had a lower hand-grip strength and lower blood pressure, whereas their pulse rate and body composition measures were higher than in the healthy control group. Case-control group differences were larger when considering individuals with chronic and/or severe anxiety disorders, and differences in body composition were modulated by depression comorbidity status. Differences in age-related physiological changes between females in the anxiety disorder case group and healthy controls were most evident for blood pressure, pulse rate and body composition, whereas this was the case in males for hand-grip strength, blood pressure and body composition. Most differences in physiological measures between the case and control groups decreased with increasing age. Conclusions Findings in individuals with a lifetime history of anxiety disorders differed from a healthy control group across multiple physiological measures, with some evidence of case-control group differences by age. The differences observed varied by chronicity/severity and depression comorbidity

Pharmacogenetic testing through the direct-to-consumer genetic testing company 23andMe.

BACKGROUND: Rapid advances in scientific research have led to an increase in public awareness of genetic testing and pharmacogenetics. Direct-to-consumer (DTC) genetic testing companies, such as 23andMe, allow consumers to access their genetic information directly through an online service without the involvement of healthcare professionals. Here, we evaluate the clinical relevance of pharmacogenetic tests reported by 23andMe in their UK tests. METHODS: The research papers listed under each 23andMe report were evaluated, extracting information on effect size, sample size and ethnicity. A wider literature search was performed to provide a fuller assessment of the pharmacogenetic test and variants were matched to FDA recommendations. Additional evidence from CPIC guidelines, PharmGKB, and Dutch Pharmacogenetics Working Group was reviewed to determine current clinical practice. The value of the tests across ethnic groups was determined, including information on linkage disequilibrium between the tested SNP and causal pharmacogenetic variant, where relevant. RESULTS: 23andMe offers 12 pharmacogenetic tests to their UK customers, some of which are in standard clinical practice, and others which are less widely applied. The clinical validity and clinical utility varies extensively between tests. The variants tested are likely to have different degrees of sensitivity due to different risk allele frequencies and linkage disequilibrium patterns across populations. The clinical relevance depends on the ethnicity of the individual and variability of pharmacogenetic markers. Further research is required to determine causal variants and provide more complete assessment of drug response and side effects. CONCLUSION: 23andMe reports provide some useful pharmacogenetics information, mirroring clinical tests that are in standard use. Other tests are unspecific, providing limited guidance and may not be useful for patients without professional interpretation. Nevertheless, DTC companies like 23andMe act as a powerful intermediate step to integrate pharmacogenetic testing into clinical practice

Risk factor profiles for depression following childbirth or a chronic disease diagnosis:case-control study

BACKGROUND: Progress towards understanding the aetiology of major depression is compromised by its clinical heterogeneity. The variety of contexts underlying the development of a major depressive episode may contribute to such heterogeneity. AIMS: To compare risk factor profiles for three subgroups of major depression according to episode context. METHOD: Using self-report questionnaires and administrative records from the UK Biobank, we characterised three contextual subgroups of major depression: postpartum depression (3581 cases), depression following diagnosis of a chronic disease (409 cases) and a more typical (named heterogeneous) major depression phenotype excluding the two other contexts (34 699 cases). Controls with the same exposure were also defined. We tested each subgroup for association with the polygenic risk scores (PRS) for major depression and with other risk factors previously associated with major depression (bipolar disorder PRS, neuroticism, reported trauma in childhood and adulthood, socioeconomic status, family history of depression, education). RESULTS: Major depression PRS was associated with all subgroups, but postpartum depression cases had higher PRS than heterogeneous major depression cases (OR = 1.06, 95% CI 1.02–1.10). Relative to heterogeneous depression, postpartum depression was more weakly associated with adulthood trauma and neuroticism. Depression following diagnosis of a chronic disease had weaker association with neuroticism and reported trauma in adulthood and childhood relative to heterogeneous depression. CONCLUSIONS: The observed differences in risk factor profiles according to the context of a major depressive episode help provide insight into the heterogeneity of depression. Future studies dissecting such heterogeneity could help reveal more refined aetiological insights

Stratified genome-wide association analysis of type 2 diabetes reveals subgroups with genetic and environmental heterogeneity

Type 2 diabetes (T2D) is a heterogeneous illness caused by genetic and environmental factors. Previous genome wide association studies (GWAS) have identified many genetic variants associated with T2D and found evidence of differing genetic profiles by age-at-onset. This study seeks to explore further the genetic and environmental drivers of T2D by analysing subgroups based on age-at-onset of diabetes and body mass index (BMI). In UK Biobank, 36 494 T2D cases were stratified into 3 subgroups and GWAS performed for all T2D cases and for each subgroup relative to 421 021 controls. Altogether, 18 SNPs significantly associated genome-wide with T2D in one or more subgroups also showed evidence of heterogeneity between the subgroups, (Cochrane's Q p < 0.01) with 2 remaining significant after multiple testing (in CDKN2B and CYTIP). Combined risk scores, based on genetic profile, BMI and age, resulted in excellent diabetes prediction (AUC = 0.92). A modest improvement in prediction (AUC = 0.93) was seen when the contribution of genetic and environmental factors was evaluated separately for each subgroup. Increasing sample sizes of genetic studies enables us to stratify disease cases into subgroups which have sufficient power to highlight areas of genetic heterogeneity. Despite some evidence that optimising combined risk scores by subgroup improves prediction, larger sample sizes are likely needed for prediction when using a stratification approach

Stratified genome-wide association analysis of Type 2 Diabetes reveals subgroups with genetic and environmental heterogeneity

Type 2 diabetes (T2D) is a heterogeneous illness caused by genetic and environmental factors. Previous genome wide association studies (GWAS) have identified many genetic variants associated with T2D and found evidence of differing genetic profiles by age-at-onset. This study seeks to explore further the genetic and environmental drivers of T2D by analysing subgroups based on age-at-onset of diabetes and body mass index (BMI). In UK Biobank, 36 494 T2D cases were stratified into 3 subgroups and GWAS performed for all T2D cases and for each subgroup relative to 421 021 controls. Altogether, 18 SNPs significantly associated genome-wide with T2D in one or more subgroups also showed evidence of heterogeneity between the subgroups, (Cochrane’s Q p < 0.01) with 2 remaining significant after multiple testing (in CDKN2B and CYTIP). Combined risk scores, based on genetic profile, BMI and age, resulted in excellent diabetes prediction (AUC = 0.92). A modest improvement in prediction (AUC = 0.93) was seen when the contribution of genetic and environmental factors was evaluated separately for each subgroup. Increasing sample sizes of genetic studies enables us to stratify disease cases into subgroups which have sufficient power to highlight areas of genetic heterogeneity. Despite some evidence that optimising combined risk scores by subgroup improves prediction, larger sample sizes are likely needed for prediction when using a stratification approach

Variance components linkage analysis for adjusted systolic blood pressure in the Framingham Heart Study

We performed variance components linkage analysis in nuclear families from the Framingham Heart Study on nine phenotypes derived from systolic blood pressure (SBP). The phenotypes were the maximum and mean SBP, and SBP at age 40, each analyzed either uncorrected, or corrected using two subsets of epidemiological/clinical factors. Evidence for linkage to chromosome 8p was detected with all phenotypes except the uncorrected maximum SBP, suggesting this region harbors a gene contributing to variation in SBP

Delineating the Genetic Component of Gene Expression in Major Depression

Background: Major depression (MD) is determined by a multitude of factors including genetic risk variants that regulate gene expression. We examined the genetic component of gene expression in MD by performing a transcriptome-wide association study (TWAS), inferring gene expression–trait relationships from genetic, transcriptomic, and phenotypic information. Methods: Genes differentially expressed in depression were identified with the TWAS FUSION method, based on summary statistics from the largest genome-wide association analysis of MD (n = 135,458 cases, n = 344,901 controls) and gene expression levels from 21 tissue datasets (brain; blood; thyroid, adrenal, and pituitary glands). Follow-up analyses were performed to extensively characterize the identified associations: colocalization, conditional, and fine-mapping analyses together with TWAS-based pathway investigations. Results: Transcriptome-wide significant differences between cases and controls were found at 94 genes, approximately half of which were novel. Of the 94 significant genes, 6 represented strong, colocalized, and potentially causal associations with depression. Such high-confidence associations include NEGR1, CTC-467M3.3, TMEM106B, LRFN5, ESR2, and PROX2. Lastly, TWAS-based enrichment analysis highlighted