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A number of first year students leave physiotherapy programmes every year. A high attrition rate has implications for the student and the academic institution.

To report the rate of attrition among first year physiotherapy students, and to identify contributing factor.

Retrospective analysis.

University.

Electronic student records for enrolled students 2010 to 2013.

Independent variables; gender, age at entry, mode of admission, place of residence, ethnicity, fee status, level of education, disability, whether a student obtained a B in A level Biology, and whether a student repeated A level examinations. Logistic regression analysis was conducted to identify the relationship between independent variables and drop-out (failure to continue to the second year).

Data from 338 students were included in the analysis. The percentage drop-out was 17%; 38 students (11%) failed, and 20 students (6%) withdrew voluntarily. Black and Asian students had greater odds of drop-out for any reason (Odds Ratio (OR) 6.23; 95% Confidence Interval (CI) 1.79 to 21.63, and OR 6.43; 95% CI 3.03 to 13.68 respectively), and due to failure (OR 5.50, 95% CI 1.27 to 23.70, and OR 7.19; 95% CI 3.02 to 17.08, respectively) compared to white British students. selleck kinase inhibitor Students who lived off-campus were more likely to withdraw from the programme irrespective of ethnicity (OR 4.65; 95% CI 1.41 to 15.34).

A significant number of students from ethnic minority backgrounds failed to progress. Specific strategies to retain students from ethnic minority backgrounds should be implemented. Students who live off-campus may be at high risk of drop-out; reasons for this should be investigated.

A significant number of students from ethnic minority backgrounds failed to progress. Specific strategies to retain students from ethnic minority backgrounds should be implemented. Students who live off-campus may be at high risk of drop-out; reasons for this should be investigated.Objective This study compared the cost of an integrated primary-secondary care general practitioner (GP)-based Beacon model with usual care at hospital outpatient departments (OPDs) for patients with complex type 2 diabetes. Methods A costing analysis was completed alongside a non-inferiority randomised control trial. Costs were calculated using information from accounting data and interviews with clinic managers. Two OPDs and three GP-based Beacon practices participated. In the Beacon practices, GPs with a special interest in advanced diabetes care worked with an endocrinologist and diabetes nurse educator to care for referred patients. The main outcome was incremental cost saving per patient course of treatment from a health system perspective. Uncertainty was characterised with probabilistic sensitivity analysis using Monte Carlo simulation. Results The Beacon model is cost saving the incremental cost saving per patient was A$365 (95% confidence interval -A$901, A$55) and was cost saving in 93.7% of simula patient course of treatment than usual care offered in hospital OPDs. What are the implications for practitioners? In addition to improving access and convenience for patients, transferring care from hospital to the community can reduce health system costs.A warming climate is increasing the duration of fire seasons and the risk of more extensive and intense bushfires. The Black Summer bushfires that occurred in Australia from September 2019 to early February 2020 were unprecedented in their scale and intensity. The fires led to loss of lives and homes, and widespread destruction of flora, fauna and ecosystems. Dense smoke from these catastrophic fires blanketed major cities and towns for weeks. A Commonwealth Royal Commission and two state inquiries provided recommendations for reducing the risk of future bushfires and for better disaster management processes to support the preparedness, relief, response and recovery to such megafires. While strategies to reduce the risk of bushfires and the damage to our biota and ecosystems are necessary and important, there is also an urgent need for mitigation strategies to reduce or prevent emission of greenhouse gases. If we are to minimise the planetary effects of a warming climate, we need to limit global warming to well below 2°C compared to pre-industrial levels and to reach net zero carbon emissions by 2050. This requires transformative thinking and action by our political leaders that builds on the Australian public and industry's willingness to play their part.

Altered immunity and metabolic profiles have been compared between bipolar depression (BD) and major depressive disorder (MDD). This study aimed at developing a composite predictor of appetite hormones and proinflammatory cytokines to differentiate BD from MDD.

This cross-sectional study enrolled patients with BD and those with MDD aged 20 to 59years and displaying depressive episodes. Clinical characteristics (age, sex, body mass index, and depression severity), cytokines (C-reactive protein, interleukin [IL]-2, IL-6, tumor necrosis factor [TNF]-α, P-selectin, and monocyte chemoattractant protein), and appetite hormones (leptin, adiponectin, ghrelin, and insulin) were assessed as potential predictors using a classification and regression tree (CRT) model for differentiating BD from MDD.

The predicted probability of a composite predictor of ghrelin and TNF-α was significantly greater (for BD area under curve=0.877; for MDD area under curve=0.914) than that of any one marker (all P>.05) to distinguish BD from MDD. The most powerful predictors for diagnosing BD were high ghrelin and TNF-α levels, whereas those for MDD were low ghrelin and TNF-α levels.

A composite predictor of ghrelin and TNF-α driven by CRT could assist in the differential diagnosis of BD from MDD with high specificity. Further clinical studies are warranted to validate our results and to explore underlying mechanisms.

A composite predictor of ghrelin and TNF-α driven by CRT could assist in the differential diagnosis of BD from MDD with high specificity. Further clinical studies are warranted to validate our results and to explore underlying mechanisms.To understand the characteristics and influencing factors related to cluster infections in Jiangsu Province, China, we investigated case reports to explore transmission dynamics and influencing factors of scales of cluster infection. The effectiveness of interventions was assessed by changes in the time-dependent reproductive number (Rt). From 25th January to 29th February, Jiangsu Province reported a total of 134 clusters involving 617 cases. Household clusters accounted for 79.85% of the total. The time interval from onset to report of index cases was 8 days, which was longer than that of secondary cases (4 days) (χ2 = 22.763, P less then 0.001) and had a relationship with the number of secondary cases (the correlation coefficient (r) = 0.193, P = 0.040). The average interval from onset to report was different between family cluster cases (4 days) and community cluster cases (7 days) (χ2 = 28.072, P less then 0.001). The average time interval from onset to isolation of patients with secondary infection (5 days) was longer than that of patients without secondary infection (3 days) (F = 9.761, P = 0.002). Asymptomatic patients and non-familial clusters had impacts on the size of the clusters. The average reduction in the Rt value in family clusters (26.00%, 0.26 ± 0.22) was lower than that in other clusters (37.00%, 0.37 ± 0.26) (F = 4.400, P = 0.039). Early detection of asymptomatic patients and early reports of non-family clusters can effectively weaken cluster infections.

The study sought to assess the influence of nutrition education and intervention programmes on nutrition knowledge and dietary practice among both students and staff (including faculty) of Princess Nourah Bint Abdulrahman University in Saudi Arabia.

A pretest-posttest, non-randomised experimental study design was implemented at Princess Nourah Bint Abdulrahman University in Riyadh City between September 2019 and February 2020.

Princess Nourah Bint Abdulrahman University is the largest women's university in the world and has eighteen colleges and institutions and around ninety academic programmes.

The survey was completed by 1824 participants (1350 students and 474 staff/faculty) before the intervention and by a different cohort of 1731 participants (1317 students and 414 staff/faculty) after the intervention. In total, an independent sample of 3555 staff and students participated. Participants were asked about dietary knowledge and practices. Dietary knowledge entailed food variety and nutrients, fasttudents and staff, focusing on one target population at a time.Although efficiency is a core concept in health economics, its impact on health care practice still is modest. Despite an increased pressure on resource allocation, a widespread use of low-value care is identified. Nonetheless, disinvestments are rare. Why is this so? This is the key question of this paper why are disinvestments not more prevalent and improving the efficiency of the health care system, given their sound foundation in health economics, their morally important rationale, the significant evidence for a long list of low-value care and available alternatives? Although several external barriers to disinvestments have been identified, this paper looks inside us for mental mechanisms that hamper rational assessment, implementation, use and disinvestment of health technologies. link2 Critically identifying and assessing internal inclinations, such as cognitive biases, affective biases and imperatives, is the first step toward a more rational handling of health technologies. In order to provide accountable and efficient care we must engage in the quest against the figments of our minds; to disinvest in low-value care in order to provide high-value health care.

Years of sport participation (YoP) is conventionally used to estimate cumulative repetitive head impacts (RHI) experienced by contact sport athletes. The relationship of this measure to other estimates of head impact exposure and the potential associations of these measures with neurobehavioral functioning are unknown. We investigated the association between YoP and the Head Impact Exposure Estimate (HIEE), and whether associations between the two estimates of exposure and neurobehavioral functioning varied.

Former American football players (N = 58; age = 37.9 ± 1.5 years) completed in-person evaluations approximately 15 years following sport discontinuation. Assessments consisted of neuropsychological assessment and structured interviews of head impact history (i.e., HIEE). General linear models were fit to test the association between YoP and the HIEE, and their associations with neurobehavioral outcomes.

YoP was weakly correlated with the HIEE, p = .005, R2 = .13. Higher YoP was associated with worsen each exposure estimate and neurobehavioral functioning outcomes differed. Findings have meaningful implications for efforts to accurately quantify the risk of adverse long-term neurobehavioral outcomes potentially associated with RHI.

Measures of glycaemic impact (e.g. postprandial glucose (PPG), oral glucose tolerance test (OGTT) and glycaemic index (GI)) are used by government health and regulatory agencies and public health associations around the world. The objective of this global review was to identify similarities and differences in the use of glycaemic impact measures for potential considerations for harmonisation.

A literature and internet search was conducted to identify country government agencies and health associations that provide guidance or recommendations for PPG, OGTT, GI and glycaemic load.

Based on this global review, the use of GI for food labelling (e.g. low GI) is limited and its use is voluntary. link3 The application of OGTT as a diagnostic measurement of diabetes and gestational diabetes is widely used and in a consistent manner among the different regions of the world. Time-specific (e.g. 2 h) PPG is commonly used as a target not to exceed in individuals with diabetes and gestational diabetes. PPG is used by regulatory agencies for the substantiation of food labelling.

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