Queensland University of Technology

About: Queensland University of Technology is a education organization based out in Brisbane, Queensland, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 14188 authors who have published 55022 publications receiving 1496237 citations. The organization is also known as: QUT.

Incidence and mortality of female breast cancer in the Asia-Pacific region.

Abstract: Objective: To provide an overview of the incidence and mortality of female breast cancer for countries in the Asia-Pacific region. Methods: Statistical information about breast cancer was obtained from publicly available cancer registry and mortality databases (such as GLOBOCAN), and supplemented with data requested from individual cancer registries. Rates were directly age-standardised to the Segi World Standard population and trends were analysed using joinpoint models. Results: Breast cancer was the most common type of cancer among females in the region, accounting for 18% of all cases in 2012, and was the fourth most common cause of cancer-related deaths (9%). Although incidence rates remain much higher in New Zealand and Australia, rapid rises in recent years were observed in several Asian countries. Large increases in breast cancer mortality rates also occurred in many areas, particularly Malaysia and Thailand, in contrast to stabilising trends in Hong Kong and Singapore, while decreases have been recorded in Australia and New Zealand. Mortality trends tended to be more favourable for women aged under 50 compared to those who were 50 years or older. Conclusion: It is anticipated that incidence rates of breast cancer in developing countries throughout the Asia-Pacific region will continue to increase. Early detection and access to optimal treatment are the keys to reducing breast cancerrelated mortality, but cultural and economic obstacles persist. Consequently, the challenge is to customise breast cancer control initiatives to the particular needs of each country to ensure the best possible outcomes.

The impact of very premature birth on the psychological health of mothers

Abstract: Background: The birth of a very premature infant is a critical event in the life of a family and studies have shown that mothers of these infants are at greater risk of psychological distress than mothers of full-term infants. Study design: A total population study of mothers of preterm infants born at less than 32-week gestation at a tertiary referral hospital. Subjects and methods: Sixty-two mothers of very preterm infants (<32 weeks) participated in the present study which examines correlates of maternal depressive symptomatology at 1 month following very premature birth. Information was obtained from structured questionnaires completed by mothers at 1 month after infant admission to neonatal intensive care. Results: Forty percent of the mothers reported significant depressive symptoms on the Edinburgh Postpartum Depression Scale (EPDS). Logistic regression analysis indicated that high maternal stress resulted in an increased likelihood of depressive symptoms (OR 1.15, CI 1.04–1.26, p<0.01). Higher levels of maternal education (p<0.05), and increased perception of support from nursing staff (OR 1.06, CI 0.88–1.00, p<0.05) resulted in decreased likelihood of depressive symptoms. Conclusions: The birth and subsequent hospitalisation of a very premature infant evokes considerable psychological distress in mothers. These results have implications for policy development in order to enhance family centred care in the neonatal intensive care.

Review and Evaluation of Mindfulness-Based iPhone Apps.

Abstract: Background There is growing evidence for the positive impact of mindfulness on wellbeing. Mindfulness-based mobile apps may have potential as an alternative delivery medium for training. While there are hundreds of such apps, there is little information on their quality. Objective This study aimed to conduct a systematic review of mindfulness-based iPhone mobile apps and to evaluate their quality using a recently-developed expert rating scale, the Mobile Application Rating Scale (MARS). It also aimed to describe features of selected high-quality mindfulness apps. Methods A search for “mindfulness” was conducted in iTunes and Google Apps Marketplace. Apps that provided mindfulness training and education were included. Those containing only reminders, timers or guided meditation tracks were excluded. An expert rater reviewed and rated app quality using the MARS engagement, functionality, visual aesthetics, information quality and subjective quality subscales. A second rater provided MARS ratings on 30% of the apps for inter-rater reliability purposes. Results The “mindfulness” search identified 700 apps. However, 94 were duplicates, 6 were not accessible and 40 were not in English. Of the remaining 560, 23 apps met inclusion criteria and were reviewed. The median MARS score was 3.2 (out of 5.0), which exceeded the minimum acceptable score (3.0). The Headspace app had the highest average score (4.0), followed by Smiling Mind (3.7), iMindfulness (3.5) and Mindfulness Daily (3.5). There was a high level of inter-rater reliability between the two MARS raters. Conclusions Though many apps claim to be mindfulness-related, most were guided meditation apps, timers, or reminders. Very few had high ratings on the MARS subscales of visual aesthetics, engagement, functionality or information quality. Little evidence is available on the efficacy of the apps in developing mindfulness.

Common mental disorders in the workforce: recent findings from descriptive and social epidemiology.

Abstract: Results: Depression and simple phobia were found to be the most prevalent disorders in the working population. The limited data on rates of participation suggested higher participation among people with depression, simple phobia, social phobia, and generalized anxiety disorder. Depression and anxiety were more consistently associated with “presenteeism” (that is, lost productivity while at work) than with absenteeism, whether this was measured by cutback days or by direct questionnaires. Seven longitudinal studies, with an average sample size of 6264, showed a strong association between aspects of low job quality and incident depression and anxiety. There was some evidence that atypical work was associated with poorer mental health, although the findings for fixed-term work were mixed. Conclusions: Mental health risk reduction in the workplace is an important complement to clinical interventions for reducing the current and future burden of depression and anxiety in the workplace.

Optimal scheduling of trains on a single line track

Abstract: This paper describes the development and use of a model designed to optimise train schedules on single line rail corridors. The model has been developed with two major applications in mind, namely: as a decision support tool for train dispatchers to schedule trains in real time in an optimal way; and as a planning tool to evaluate the impact of timetable changes, as well as railroad infrastructure changes. The mathematical programming model described here schedules trains over a single line track. The priority of each train in a conflict depends on an estimate of the remaining crossing and overtaking delay, as well as the current delay. This priority is used in a branch and bound procedure to allow and optimal solution to reasonable size train scheduling problems to be determined efficiently. The use of the model in an application to a “real life” problem is discussed. The impacts of changing demand by increasing the number of trains, and reducing the number of sidings for a 150 km section of single line track are discussed. It is concluded that the model is able to produce useful results in terms of optimal schedules in a reasonable time for the test applications shown here.