An one-stop career platform detailing Schools & Universities offering English language, Bachelor, Master and PhD programs with course fee, living cost, scholarships, visa details, etc.
---------------------------
Cyprus College
cycollege.ac.cy
The college was founded in 1961 with the purpose to provide a well rounded education of high calibre where students can acquire the necessary academic knowledge.
---------------------------
Wroclaw University
international.uni.wroc.pl
Founded in 1702 by Leopold I Habsburg. Since the beginning of 20th century the university has produced 9 Nobel Prize winners.
---------------------------
Volyn University
vdu.edu.ua
The history dates back to 1940. At present, the university includes 4 institutes, 14 faculties and 73 departments.
---------------------------
Berkeley College
berkeleycollege.edu
Through the power of internet, Berkeley college online brings the classroom to you anywhere in the world with the same high level of support as On-Campus classes.
---------------------------
AIS
ais.ac.nz
New Zealand's largest international degree provider. The programmes are focused on the global marketplace.
---------------------------
<span class="paragraphSection"><div class="boxTitle">Abstract</div><div class="boxTitle">Background</div>The electronic frailty index (eFI) is nationally implemented into UK primary care electronic health record systems to support routine identification of frailty. The original eFI has some limitations such as equal weighting of deficit variables, lack of time constraints on variables known to resolve and definition of frailty category cut-points. We have developed and externally validated the eFI2 prediction model to predict the composite risk of home care package; hospital admission for fall/fracture; care home admission; or mortality within one year, addressing the limitations of the original eFI.<div class="boxTitle">Methods</div>Linked primary, secondary and social care data from two independent retrospective cohorts of adults aged ≥65 in 2018 was used; the population of Bradford using the Connected Bradford dataset (development cohort, 78 760 patients) and the population of Wales, from the Secure Anonymised Information Linkage databank (external validation cohort, 660 417 patients). Candidate predictors included the original eFI variables, supplemented with variables informed by literature reviews and clinical expertise. The composite outcome was modelled using Cox regression.<div class="boxTitle">Results</div>In internal validation the model had excellent discrimination (C-index = 0.803, Nagelkerke’s <span style="font-style:italic;">R</span><sup>2</sup> = 0.0971) with good calibration (Calibration slope = 1.00). In external validation, the model had good discrimination (C-index = 0.723, Nagelkerke’s <span style="font-style:italic;">R</span><sup>2</sup> = 0.064), with some evidence of miscalibration (Calibration slope = 1.104).<div class="boxTitle">Conclusions</div>The eFI2 demonstrates robust prediction for key frailty-related outcomes, improving on the original eFI. Our use of novel methodology to develop and validate the eFI2 will advance the field of frailty-related research internationally, setting a new methodological standard.</span>
<span class="paragraphSection"><div class="boxTitle">Abstract</div><div class="boxTitle">Background</div>Physiological age (PA) derived from clinical indicators including blood-based biomarkers and tests of physiological function can be compared with chronological age to examine disparities in health between older adults of the same age. Though education interacts with sex to lead to inequalities in healthy ageing, their combined influence on longitudinally measured PA has not been explored. We derived PA based on longitudinally measured clinical indicators and examined how sex and education interact to inform PA trajectories.<div class="boxTitle">Methods</div>Three waves of clinical indicators (2004/05–2012/13) drawn from the English Longitudinal Study of Ageing (ages 50–100 years) were used to estimate PA, which was internally validated by confirming associations with incident chronic conditions, functional limitations and memory impairment after adjustment for chronological age and sex. Joint models were used to construct PA trajectories in 8891 English Longitudinal Study of Ageing participants to examine sex and educational disparities in PA.<div class="boxTitle">Findings</div>Amongst the least educated participants, there were negligible sex differences in PA until age 60 (sex difference [men–women] age 50 = −0.6 years [95% confidence interval = −2.2 to 0.6]; age 60 = 0.4 [−0.6 to 1.4]); at age 70, women were 1.5 years (0.7–2.2) older than men. Amongst the most educated participants, women were 3.8 years (1.6–6.0) younger than men at age 50 and 2.7 years (0.4–5.0) younger at age 60, with a nonsignificant sex difference at age 70.<div class="boxTitle">Interpretation</div>Higher education provides a larger midlife buffer to physiological ageing for women than men. Policies to promote gender equity in higher education may contribute to improving women’s health across a range of ageing-related outcomes.</span>
<span class="paragraphSection"><div class="boxTitle">Abstract</div>Personality disorders, characterised by enduring and maladaptive patterns of behaviour, cognition and emotional regulation, affect 1 in 10 older adults. Personality disorders are frequently encountered in geriatric care considering their association with multimorbidity and increased health care utilisation. Patients with personality disorders often receive inadequate somatic health care due to (i) difficulties in expressing their actual symptoms and needs, (ii) challenging interactions with professionals, and (iii) non-compliance with medical treatment and lifestyle advice. Acknowledging personality disorders in geriatric care may improve treatment outcomes of somatic diseases. Since empirical evidence on personality diagnosis and treatment in older adults is scarce, we summarise future endeavours. First, the development of age-inclusive diagnostic tools should be prioritised to ensure comparability across age groups and facilitate longitudinal research over the lifespan. Second, evidence-based treatment approaches should be tailored to older people. Insight-oriented psychotherapies remain effective in later life considering sufficient level of introspection. Supportive and mediative therapies may better suit those with significant cognitive or physical impairments. Geriatric care models should be ideal for managing the complex needs of these patients when a consistent approach can be assured within the geriatric team as well as within the network considering the high level of interdisciplinary exchange needed. Third, considering the dynamic nature of personality disorders older adults should not be excluded from studies using novel technologies for real-time monitoring and personalised care. By addressing these gaps, the field can improve somatic treatment outcomes and uphold the dignity and well-being of older adults with personality disorders.</span>
Home
Contact Us
Back to "News Updates - Homepage"
