Cookie Cutting or Gaining a Broader Perspective? Embedding Graduate Attributes in the Curriculum

Objectives: The aim of this project was to increase student awareness of graduate attributes (GAs) at an early stage in their undergraduate career by embedding graduate attribute reflection activities within Level 2 Psychology. Design: Students reflected on how skills gained from their curricular and extra-curricular activities were linked to graduate attributes. Study 1 evaluated the impact of the reflection task by measuring selfefficacy in specific GAs. Study 2 used a mixed-methods design to explore student perspectives on the activities and their views on GAs. Methods: Study 1: Participants were second year psychology undergraduates at the University of Glasgow (N=107). Self-efficacy in each of the dimensions of the University of Glasgow GAs Framework was measured before and after the reflection task, along with measures of self-efficacy in higher education and self-esteem. Study 2: Participants (N= 178) from the same cohort completed the Employability Experience Questionnaire followed by questions about the GAs reflection exercise and their intentions. These questions were discussed in detail in student led focus groups (N= 9). Results: Study 1: Non Parametric analyses indicated that self-efficacy in specific GAs increased after the reflection exercises, and were positively correlated to H.E self-efficacy, and self-esteem. Study 2: Qualitative analysis elicited themes on the “Value of GAs”, “Practicalities”, and “Looking to the Future”. Conclusions: Embedding a GAs reflection task within the psychology curriculum improved students’ self-efficacy, and motivated them to seek further opportunities. Limitations of the design, and implications for skills development in the psychology degree will be discussed

Cookie Cutting or Gaining a Broader Perspective? Embedding Graduate Attributes in the Curriculum

Objectives: The aim of this project was to increase student awareness of graduate attributes (GAs) at an early stage in their undergraduate career by embedding graduate attribute reflection activities within Level 2 Psychology. Design: Students reflected on how skills gained from their curricular and extra-curricular activities were linked to graduate attributes. Study 1 evaluated the impact of the reflection task by measuring selfefficacy in specific GAs. Study 2 used a mixed-methods design to explore student perspectives on the activities and their views on GAs. Methods: Study 1: Participants were second year psychology undergraduates at the University of Glasgow (N=107). Self-efficacy in each of the dimensions of the University of Glasgow GAs Framework was measured before and after the reflection task, along with measures of self-efficacy in higher education and self-esteem. Study 2: Participants (N= 178) from the same cohort completed the Employability Experience Questionnaire followed by questions about the GAs reflection exercise and their intentions. These questions were discussed in detail in student led focus groups (N= 9). Results: Study 1: Non Parametric analyses indicated that self-efficacy in specific GAs increased after the reflection exercises, and were positively correlated to H.E self-efficacy, and self-esteem. Study 2: Qualitative analysis elicited themes on the “Value of GAs”, “Practicalities”, and “Looking to the Future”. Conclusions: Embedding a GAs reflection task within the psychology curriculum improved students’ self-efficacy, and motivated them to seek further opportunities. Limitations of the design, and implications for skills development in the psychology degree will be discussed

Effects of diabetes family history and exercise training on the expression of adiponectin and leptin and their receptors

The daughters of patients with diabetes have reduced insulin sensitivity index (ISI) scores compared with women with no family history of diabetes, but their ISI increase more in response to exercise training(1). The present study aimed to determine whether differences between these groups in exercise-induced changes in circulating adiponectin and leptin concentrations and expression of their genes and receptors in subcutaneous adipose tissue (SAT), could explain differences in the exercise-induced changes in ISI between women with and without a family history of diabetes

Where am I now and where do I want to be? Developing awareness of graduate attributes in pre-honours students.

There is increasing emphasis on the importance of making Graduate Attributes (GAs) explicit to students as part of their degree programme and the role of students themselves in proactively developing GAs. The aim of the present project was to encourage students to actively develop and reflect upon curricular and extra-curricular attributes at an earlier stage in their degree programme. To this end we developed and evaluated short-self-reflection exercises in second year (pre-honours) psychology practical classes which asked students to reflect on their curricular and extra-curricular activities and on how the practical skills gained from these activities are linked to graduate attributes.  Activities were followed by careers workshops focused on gaining confidence in communicating graduate attributes in an interview context, and the benefits of engaging with professional networking sites. We evaluated the impact of these activities on: 1) students’ levels of self-efficacy in specific GAs before and after the in-class exercises; 2) students' confidence in presenting their GAs in an interview situation; 3) student awareness of professional networking sites.  The activities resulted in increased self- efficacy ratings after the GAS reflection, increased confidence in presenting their GAs after the careers workshops, and an increased awareness of professional networking sites. The effectiveness of these activities as a method to increase student engagement in developing their GAs will be discussed in the wider context of embedding GAs and employability in pre-honours programmes across STEM disciplines. Keywords: Graduate attributes, employability, self-efficacy, pre-honours, professional networkin

Glomerular filtration rate by differing measures, albuminuria and prediction of cardiovascular disease, mortality and end-stage kidney disease

Chronic kidney disease is common in the general population and associated with excess cardiovascular disease (CVD), but kidney function does not feature in current CVD risk-prediction models. We tested three formulae for estimated glomerular filtration rate (eGFR) to determine which was the most clinically informative for predicting CVD and mortality. Using data from 440,526 participants from UK Biobank, eGFR was calculated using serum creatinine, cystatin C (eGFRcys) and creatinine-cystatin C. Associations of each eGFR with CVD outcome and mortality were compared using Cox models and adjusting for atherosclerotic risk factors (per relevant risk scores), and the predictive utility was determined by the C-statistic and categorical net reclassification index. We show that eGFRcys is most strongly associated with CVD and mortality, and, along with albuminuria, adds predictive discrimination to current CVD risk scores, whilst traditional creatinine-based measures are weakly associated with risk. Clinicians should consider measuring eGFRcys as part of cardiovascular risk assessment

Comparison of conventional lipoprotein tests and apolipoproteins in the prediction of cardiovascular disease: data from UK Biobank

Background: Total cholesterol and high-density lipoprotein cholesterol (HDL-C) measurements are central to cardiovascular disease (CVD) risk assessment, but there is continuing debate around the utility of other lipids for risk prediction. Methods: Participants from UK Biobank without baseline CVD and not taking statins, with relevant lipid measurements (n=346 686), were included in the primary analysis. An incident fatal or nonfatal CVD event occurred in 6216 participants (1656 fatal) over a median of 8.9 years. Associations of nonfasting lipid measurements (total cholesterol, HDL-C, non–HDL-C, direct and calculated low-density lipoprotein cholesterol [LDL-C], and apolipoproteins [Apo] A1 and B) with CVD were compared using Cox models adjusting for classical risk factors, and predictive utility was determined by the C-index and net reclassification index. Prediction was also tested in 68 649 participants taking a statin with or without baseline CVD (3515 CVD events). Results: ApoB, LDL-C, and non–HDL-C were highly correlated (r>0.90), while HDL-C was strongly correlated with ApoA1 (r=0.92). After adjustment for classical risk factors, 1 SD increase in ApoB, direct LDL-C, and non–HDL-C had similar associations with composite fatal/nonfatal CVD events (hazard ratio, 1.23, 1.20, 1.21, respectively). Associations for 1 SD increase in HDL-C and ApoA1 were also similar (hazard ratios, 0.81 [both]). Adding either total cholesterol and HDL-C, or ApoB and ApoA, to a CVD risk prediction model (C-index, 0.7378) yielded similar improvement in discrimination (C-index change, 0.0084; 95% CI, 0.0065, 0.0104, and 0.0089; 95% CI, 0.0069, 0.0109, respectively). Once total and HDL-C were in the model, no further substantive improvement was achieved with the addition of ApoB (C-index change, 0.0004; 95% CI, 0.0000, 0.0008) or any measure of LDL-C. Results for predictive utility were similar for a fatal CVD outcome, and in a discordance analysis. In participants taking a statin, classical risk factors (C-index, 0.7118) were improved by non–HDL-C (C-index change, 0.0030; 95% CI, 0.0012, 0.0048) or ApoB (C-index change, 0.0030; 95% CI, 0.0011, 0.0048). However, adding ApoB or LDL-C to a model already containing non–HDL-C did not further improve discrimination. Conclusions: Measurement of total cholesterol and HDL-C in the nonfasted state is sufficient to capture the lipid-associated risk in CVD prediction, with no meaningful improvement from addition of apolipoproteins, direct or calculated LDL-C

Glycated hemoglobin, prediabetes and the links to cardiovascular disease: data from UK Biobank

OBJECTIVE: HbA1c levels are increasingly measured in screening for diabetes; we investigated whether HbA1c may simultaneously improve cardiovascular disease (CVD) risk assessment, using QRISK3, American College of Cardiology/American Heart Association (ACC/AHA), and Systematic COronary Risk Evaluation (SCORE) scoring systems. RESEARCH DESIGN AND METHODS: UK Biobank participants without baseline CVD or known diabetes (n = 357,833) were included. Associations of HbA1c with CVD was assessed using Cox models adjusting for classical risk factors. Predictive utility was determined by the C-index and net reclassification index (NRI). A separate analysis was conducted in 16,596 participants with known baseline diabetes. RESULTS: Incident fatal or nonfatal CVD, as defined in the QRISK3 prediction model, occurred in 12,877 participants over 8.9 years. Of participants, 3.3% (n = 11,665) had prediabetes (42.0–47.9 mmol/mol [6.0–6.4%]) and 0.7% (n = 2,573) had undiagnosed diabetes (≥48.0 mmol/mol [≥6.5%]). In unadjusted models, compared with the reference group (<42.0 mmol/mol [<6.0%]), those with prediabetes and undiagnosed diabetes were at higher CVD risk: hazard ratio (HR) 1.83 (95% CI 1.69–1.97) and 2.26 (95% CI 1.96–2.60), respectively. After adjustment for classical risk factors, these attenuated to HR 1.11 (95% CI 1.03–1.20) and 1.20 (1.04–1.38), respectively. Adding HbA1c to the QRISK3 CVD risk prediction model (C-index 0.7392) yielded a small improvement in discrimination (C-index increase of 0.0004 [95% CI 0.0001–0.0007]). The NRI showed no improvement. Results were similar for models based on the ACC/AHA and SCORE risk models. CONCLUSIONS: The near twofold higher unadjusted risk for CVD in people with prediabetes is driven mainly by abnormal levels of conventional CVD risk factors. While HbA1c adds minimally to cardiovascular risk prediction, those with prediabetes should have their conventional cardiovascular risk factors appropriately measured and managed

Association of gamma-glutamyltransferase levels with total mortality, liver-related, and cardiovascular outcomes: a prospective cohort study in the UK Biobank

Background: Gamma-glutamyltransferase (GGT) levels in the blood can be a sensitive marker of liver injury but the extent to which they give insight into risk across multiple outcomes in a clinically useful way remains uncertain. Methods: Using data from 293,667 UK Biobank participants, the relationship of GGT concentrations to self-reported alcohol intake and adiposity markers were investigated. We next investigated whether GGT predicted liver-related, cardiovascular (CV) or all-cause mortality, and potentially improved CV risk prediction. Findings: Higher alcohol intake and greater waist circumference (WC) were associated with higher GGT; the association was stronger for alcohol with evidence of a synergistic effect of WC. Higher GGT concentrations were associated with multiple outcomes. Compared to a GGT of 14.5 U/L (lowest decile), values of 48 U/L for women and 60 U/L for men (common upper limits of ‘normal’) had hazard ratios (HRs) for liver-related mortality of 1.83 (95% CI 1.60–2.11) and 3.25 (95% CI 2.38–4.42) respectively, for CV mortality of 1.21 (95% CI 1.14–1.28) and 1.43 (95% CI 1.27–1.60) and for all-cause mortality of 1.15 (95% CI 1.12–1.18) and 1.31 (95% CI 1.24–1.38). Adding GGT to a risk algorithm for CV mortality reclassified an additional 1.24% (95% CI 0.14–2.34) of participants across a binary 5% 10-year risk threshold. Interpretation: Our study suggests that a modest elevation in GGT levels should trigger a discussion with the individual to review diet and lifestyle including alcohol intake and consideration of formal liver disease and CV risk assessment if not previously done. Funding: British Heart Foundation Centre of Research Excellence Grant (grant number RE/18/6/34217), NHS Research Scotland (grant number SCAF/15/02), the Medical Research Council (grant number MC_UU_00022/2); and the Scottish Government Chief Scientist Office (grant number SPHSU17)

Characterization and mapping of a deep-sea sponge ground on the Tropic Seamount (northeast tropical Atlantic) : implications for spatial management in the high seas

Ferromanganese crusts occurring on seamounts are a potential resource for rare earth elements that are critical for low-carbon technologies. Seamounts, however, host vulnerable marine ecosystems (VMEs), which means that spatial management is needed to address potential conflicts between mineral extraction and the conservation of deep-sea biodiversity. Exploration of the Tropic Seamount, located in an Area Beyond National Jurisdiction (ABNJ) in the subtropical North Atlantic, revealed large amounts of rare earth elements, as well as numerous VMEs, including high-density octocoral gardens, Solenosmilia variabilis patch reefs, xenophyophores, crinoid fields and deep-sea sponge grounds. This study focuses on the extensive monospecific grounds of the hexactinellid sponge Poliopogon amadou (Thomson, 1878). Deep-sea sponge grounds provide structurally complex habitat, augmenting local biodiversity. To understand the potential extent of these sponge grounds and inform spatial management, we produced the first ensemble species distribution model and local habitat suitability maps for P. amadou in the Atlantic employing Maximum Entropy (Maxent), General Additive Models (GAMs), and Random Forest (RF). The main factors driving the distribution of the sponge were depth and maximum current speed. The sponge grounds occurred in a marked bathymetric belt (2,500 – 3,000 m) within the upper North Atlantic Deep Water mass (2.5∘C, 34.7 psu, O2 6.7–7 mg ml-1), with a preference for areas bathed by moderately strong currents (0.2 – 0.4 ms-1). GAMs, Maxent and RF showed similar performance in terms of evaluation statistics but a different prediction, with RF showing the highest differences. This algorithm only retained depth and maximum currents whereas GAM and Maxent included bathymetric position index, slope, aspect and backscatter. In these latter two models, P. amadou showed a preference for high backscatter values and areas slightly elevated, flat or with gentle slopes and with a NE orientation. The lack of significant differences in model performance permitted to merge all predictions using an ensemble model approach. Our results contribute toward understanding the environmental drivers and biogeography of the species in the Atlantic. Furthermore, we present a case toward designating the Tropic Seamount as an Ecologically or Biologically Significant marine Area (EBSA) as a contribution to address biodiversity conservation in ABNJs