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Background and Objectives: Emerging evidence suggests potential effects of nutrients/foods on sleep parameters. However, no studies have addressed the complex interactions among nutrients/foods and relate them to sleep outcomes. To investigate the associations between dietary patterns and sleep parameters (polysomnography (PSG) measured and self-reported sleep symptoms) in a large sample of community dwelling men in South Australia.Methods and Study Design: Cross-sectional analysis was conducted of participants in the Men Androgen Inflammation Lifestyle Environment and Stress cohort enrolled in a sleep sub-study (n=784, age 35-80 years). Dietary intake was measured by a validated food frequency questionnaire. Dietary patterns were identified by factor analysis. Sleep was assessed by an overnight home PSG and self-reported questionnaires.Results: Two factors were obtained by factor analysis: Factor 1 was characterised by high intakes of vegetables, fruits, and legumes and factor 2 was characterised by processed meat, snacks, red meat and take-away foods. Three categories of the dietary patterns were defined (prudent, mixed and western) through classification of the sample according to the actual consumption higher or lower of each factor. The prudent (factor 1 dominant) and mixed dietary patterns were inversely associated with sleep onset, compared with the western dietary pattern (factor 2 dominant) (β=-6.34 (95% CI-1.11, -11.57), β=-4.34 (95% CI-8.34, -0.34) respectively)). The association was only significant with the prudent dietary pattern after multiple comparison adjustment. No associations were found with between dietary patterns and other sleep outcomes.Conclusions: The prudent dietary pattern was associated with a faster sleep onset, which may provide a solution for sleep management. [ABSTRACT FROM AUTHOR]

Introduction: Evidence demonstrates that health care professionals are more prone to burnout than other professionals due to the emotionally taxing interactions they have with their patients on a daily basis. The aims of this study were to measure occupational burnout levels among sonographers, radiographers and radiologists and to examine predictors of burnout according to demographic characteristics.Methods: A cross-sectional online survey was administered in 2010 to radiographers, sonographers and radiologists who were members of the following professional bodies: Australian Institute of Radiography, Australian Sonographers Association and The Royal Australian and New Zealand College of Radiologists. The Maslach Burnout Inventory was used to measure burnout levels for each profession. Data were analysed using SPSS Ver 20 (IBM, Chicago, IL, USA) statistical software.Results: A total of 613 radiographers, 121 sonographers and 35 radiologists participated in the survey. Radiographers, sonographers and radiologists had a high mean (±SD) burnout score for emotional exhaustion (39.9 ± 8.5, 42.2 ± 8.5 and 44.9 ± 7.1 respectively) and depersonalization (18.9 ± 5.5, 20.3 ± 5.8 and 20.6 ± 5.6) compared to MBI norms. Radiographers also had low personal achievement (30.8 ± 5.5) compared to MBI norms. Radiographers and sonographers who were male, worked >10 hours overtime and spent <10% of their time training students per week had significantly higher depersonalization scores (p < 0.05).Conclusion: Burnout levels among radiographers, sonographers and radiologists are high and likely to vary according to some demographic and work-related factors. Further research is needed to examine ways to alleviate burnout in these professions so that loss of experienced staff due to burnout can be minimized and quality of patient care can be maintained. [ABSTRACT FROM AUTHOR]

Objectives: Identify factors associated with changes to health-related quality of life (HRQoL) in baby boomers. Methods: Panel data were collected on baby boomers at two time points, 2000-2002 and 2004-2006. A fixed-effects model was used to identify associations between changes in the dependent variable (SF-36 summary scales) and changes in independent variables (health indicators/employment status). Results: Mental health problems, being out of labor force, sedentary behavior, and severe lung disease were associated with deterioration in physical and mental HRQoL. Obesity was associated with deterioration in physical HRQoL whereas cardiovascular disease was associated with deterioration in mental HRQoL. Unemployment, full-time employment, and absence of lung disease symptoms were associated with improvements in physical and mental HRQoL. Discussion: If we are to maximize the future labor participation, and HRQoL, of this cohort, it will be necessary to reduce obesity and sedentary behavior and to further investigate the association between health and employment. [ABSTRACT FROM AUTHOR]