The link between central adiposity and cognition has been established by indirect measures such as body mass index (BMI) or waist–hip ratio. Magnetic resonance imaging (MRI) quantification of central abdominal fat has been linked to elevated risk of cardiovascular and cerebro-vascular disease. However it is not known how quantification of visceral fat correlates with cognitive performance and measures of brain structure. We filled this gap by characterizing the relationships between MRI measures of abdominal adiposity, brain morphometry, and cognition, in healthy elderly. Methods: A total of 184 healthy community dwelling elderly subjects without cognitive impairment participated in this study. Anthropometric and biochemical markers of cardiovascular risk, neuropsychological measurements as well as MRI of the brain and abdomen fat were obtained. Abdominal images were segmented into subcutaneous adipose tissue and visceral adipose tissue (VAT) adipose tissue compartments. Brain MRI measures were analyzed quantitatively to determine total brain volume, hippocampal volume, ventricular volume, and cortical thickness. Results: VAT showed negative association with verbal memory (r = 0.21, p = 0.005) and attention (r = 0.18, p = 0.01). Higher VAT was associated with lower hippocampal volume (F = 5.39, p = 0.02) and larger ventricular volume (F = 6.07, p = 0.02). The participants in the upper quartile of VAT had the lowest hippocampal volume even after adjusting for age, gender, hypertension, and BMI (b = −0.28, p = 0.005). There was a significant age by VAT interaction for cortical thickness in the left prefrontal region. Conclusion: In healthy older adults, elevated VAT is associated with negative effects on cognition, and brain morphometry.

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ObjectivesTo investigate medical student's self-efficacy at the time of finishing their rural clinical school (RCS) placement and factors associated with self-efficacy. Secondary aims are to explore whether interest levels or self-efficacy are associated with rural or remote career intentions.Design, setting and participantsA cross-sectional study of medical students who had completed their RCS term in 17 Australian universities. Data were derived from the 2013 Federation of Rural Australian Medical Educators (FRAME) evaluation survey. Questionnaire responses were analysed from 653 medical students from regional Australia. All 732 students who completed their RCS term in 2013 were invited to participate.Primary and secondary outcome measuresRural self-efficacy: Six questions to measure self-efficacy beliefs in rural medical practice, based on the sources of self-efficacy described by Bandura. Rural career intention: Students were asked to identify their preferred location for future practice. The options were, Capital or Major City; Inner regional city or large town; Smaller town and very remote area.ResultsQuestionnaire responses were analysed from 653 medical students from regional Australia (response rate 89.2%). 83.8% of all students recalled an increase in their interest levels for rural medicine as a result of their RCS experience. Actual career intention to work in a regional area or rural area was 60.2%. Bivariate analyses showed female gender (p=0.003), rural background (p<0.001), an RCS preference for clinical training (p<0.001) and general practice intentions (p=0.004) were factors associated with higher levels of self-efficacy. Logistic regression analyses showed that self-efficacy was independently associated with increased interest in rural medicine (OR 1.4 (95% CI 1.3 to 1.5)) and rural career intent (OR 1.2 (95% CI 1.1 to 1.3)). (Model included gender, rural background, preference for RCS, generalist intent, rural practice interest and self-efficacy).ConclusionsSelf-efficacy is associated with increased interest levels for rural medicine and rural medical career intent.

Quality of dementia care improves with a personalized approach to aged care, and knowledge of the disease process and unique care needs of residents with dementia. A personalized model of care can have a significant impact on the overall organizational culture in aged care homes. However, the dimensions of personalized aged care relating to dementia often remain under-managed. We aim to explore the factors that shape the dimensions of personalized dementia care in rural nursing homes using qualitative data of a mixed-method 'Harmony in the Bush' dementia study. The study participants included clinical managers, registered nurses, enrolled nurses and care workers from five rural aged care homes in Queensland and South Australia. One hundred and four staff participated in 65 semi-structured interviews and 20 focus groups at three phases: post-intervention, one-month followup and three-months follow-up. A multidimensional model of nursing home care quality developed by Rantz et al. (1998) was used in data coding and analysis of the factors. Three key themes including seven dimensions emerged from the findings: resident and family [resident and family centeredness, and assessment and care planning]; staff [staff education and training, staff-resident interaction and work-life balance]; and organization [leadership and organizational culture, and physical environment and safety]. A lack of consideration of family members views by management and staff, together with poorly integrated, holistic care plan, limited resources and absence of ongoing education for staff, resulted in an ineffective implementation of personalized dementia care. Understanding the dimensions and associated factors may assist in interpreting the multidimensional aspects of personalized approach in dementia care. Staff training on person-centered approach, assessment and plan, and building relationships among and between staff and residents are essential to improve the quality of care residents receive.