A learning development-faculty collaborative exploration of postgraduate research student mental health in a UK university

YesMental ill-health is an escalating problem in higher education. Not only does this impact students’ ability to learn, it can lead to poor completion, with learners opting to withdraw from studies, even if attainment has been satisfactory. The aim of this study was to gain insight about perceptions of poor mental health from postgraduate research students in a diverse UK university and canvas opinion regarding how the University could improve this. A short, pragmatic survey with basic quantitative and qualitative responses was distributed. This was analysed by a team comprising the learning developer responsible for postgraduate researcher learning development, academics and a doctoral student. The study found that poor mental health was evident, with over three quarters of respondents reporting some experience of mental ill-health. We identified five areas in need of attention: University Systems, Supervisor Training, Well-being Monitoring, Building Networks, and Finance. Sources of University-based stress were finance, administrative support, and an environment where a perception that poor mental health was an expectation rather than a problem was experienced. Students preferred to access support outside the academic environment. This is the first study of its kind at a diverse, plate-glass UK university, to consider research student mental ill-health, with a staff-student team working with data, and the learning developer spear-heading changes across postgraduate research. These findings have already influenced university strategy, staff training, and induction practices. The synthesis of the five areas could be used to visualise where further work is needed to improve mental health in these learners

Early Markers of Glycaemic Control in Children with Type 1 Diabetes Mellitus

Background: Type 1 diabetes mellitus (T1DM) may lead to severe long-term health consequences. In a longitudinal study, we aimed to identify factors present at diagnosis and 6 months later that were associated with glycosylated haemoglobin (HbA 1c) levels at 24 months after T1DM diagnosis, so that diabetic children at risk of poor glycaemic control may be identified. Methods: 229 children,15 years of age diagnosed with T1DM in the Auckland region were studied. Data collected at diagnosis were: age, sex, weight, height, ethnicity, family living arrangement, socio-economic status (SES), T1DM antibody titre, venous pH and bicarbonate. At 6 and 24 months after diagnosis we collected data on weight, height, HbA 1c level, and insulin dose. Results: Factors at diagnosis that were associated with higher HbA1c levels at 6 months: female sex (p,0.05), lower SES (p,0.01), non-European ethnicity (p,0.01) and younger age (p,0.05). At 24 months, higher HbA1c was associated with lower SES (p,0.001), Pacific Island ethnicity (p,0.001), not living with both biological parents (p,0.05), and greater BMI SDS (p,0.05). A regression equation to predict HbA1c at 24 months was consequently developed. Conclusions: Deterioration in glycaemic control shortly after diagnosis in diabetic children is particularly marked in Pacific Island children and in those not living with both biological parents. Clinicians need to be aware of factors associated wit