Physical activity and mental health; it is more than just a prescription

Most mental health and physical activity research describes unidirectional causes of physical activity on mental health, and as a result, a strong evidence base is being established for the effectiveness of physical activity as a treatment for mental health issues. Given that the efficacy of physical activity prescriptions are entirely reliant on individuals’ behavioral engagement, the aim of this special issue is to draw attention to translational evidence relevant to mental health and physical activity. This issue encompasses findings from a wide array of study designs (e.g., reviews, qualitative investigations, correlations studies, trial descriptions, pilot trial findings) of populations from high, middle, and low-income countries with clinical and non-clinical mental health issues. The evidence illustrates that people with mental health issues have unique facilitators and barriers to physical activity that are not accounted for within behavior change theories or interventions for the general population. Within this issue, you will find evidence of how mental health issues impact physical activity behavior change processes as well as examples of how context and person factors may moderate physical activity intervention efficacy amongst these populations. Informed by this evidence, we are calling for future research to investigate acceptability, maintenance, scalability, and generalizability of physical activity interventions for people with mental health issues. This future research will need to account for the unique barriers and facilitators of the population, be theoretically sound, apply to unique contexts, and adapt to dynamic change processes (including engagement and maintenance). © 2017 Elsevier Lt

506 Does anandamide prevent endometrial cancer growth through anti-proliferation or modulation of apoptosis?

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Modelling population retention in Australia’s Northern Territory: How do current forms of migration contribute to population turnover and retention?

In the past, population growth in Australia's Northern Territory, as in other peripheral parts of high-income countries, has been driven by internal labour migration and migration from outside of Australia. These have been contributing to the high population turnover experienced in peripheral areas. Since 2010, the Northern Territory has experienced low (and even negative) population growth, and public policy is currently focused on migration as a lever to reverse this trend. However, the extent to which the characteristics of migrants influence the potential for longer-term population growth is poorly understood. This paper uses a new method to analyse the contributions of various types of migrants to both population turnover and retention. Two major sets of findings emerge: First, the significance of separating newer in-migrants from longer-term residents when analysing migration patterns; and secondly, the contribution of age, gender, Indigenous status, international origin, wages and industry of employment to the Northern Territory's population turnover. The research suggests that current forms of migration favour people who are likely to stay for only short periods, and have high wage demands. The main policy inference is that long-term population growth will likely not eventuate unless new forms of migration can be stimulated

Innovative Follow-up Strategies for Endometrial Cancer

Increasing recognition of the heterogeneous nature of endometrial cancer, the excellent prognosis of low-risk cases and improvements in risk stratification offer opportunities for innovative, personalised follow-up strategies. This review article outlines the evidence base for alternative follow-up strategies in the different risk categories of endometrial cancer, cancer survivorship programmes and considers future directions in endometrial cancer follow-up, including emerging new techniques, such as the liquid biopsy, and opportunities for combining molecular and clinicopathological features to personalise endometrial cancer follow-up

Sources of data for settlement level analyses in sparsely populated areas

Research in areas such as demography, social sciences and population health normally utilise secondary population data sources to address key questions. Large and nationally representative datasets are usually the sources for such analyses. These datasets have allowed for broader generalisations to be drawn and in-depth analysis of  changes at settlements level, as well as for population sub-groups. Such datasets, which include national censuses and survey programmes, are administered by national statistical agencies (NSAs) covering topics like demographic characteristics, employment and health. While large and nationally representative datasets are considered the 'gold standard' for research, it is recognised they have limitations for understanding demographic change at small scales of geography and for population sub-groups, in particular for those residing in sparsely populated areas (SPAs) and Indigenous peoples (Axelsson, 2010; Taylor et al., 2011).</p

Perspectives on ‘Demography at the edge’

The intent of this book is to examine the relationships between ‘remoteness’ and the demographic characteristics of populations who live in remote areas. It is concerned with the remote parts of developed nations, and so it faces the challenges of demographic research at the sub-national level. The grand theories of demography have been developed around observations of human populations at the national or supra-national scale. While propositions such as the demographic transitions are not universally accepted, they have proven very useful for researchers and policy makers concerned with the characteristics of relatively large populations (Burch 2003). Far less attention has been paid to formal or behavioural demography as it applies to smaller (particularly sub-national), more dynamic and more open populations (Swanson 2004). There are numerous studies about such populations, but they tend to be concerned with data quality issues, methods of data analysis and the production of localised descriptions of population characteristics (see, for example, Wilson and Bell 2004, Wilson and Rees 2005). Processes of industrialisation and post-industrialisation have effected how regional populations change and how they interact with one another (Pierson1998). A focus on migration, including models of rural-to-urban migration and counter-urbanisation (Bosworth 2008) has been a main feature of sub-national demography. Population changes have been interpreted in the light of theories of economic development such as the staples thesis and various core-periphery models (Barnes et al. 2001). Overall, however, there have been few attempts to synthesise knowledge about how sub-national populations work into general models, despite calls for attention to the issue over at least the past two decades (McNicoll 1992)

Degree of landscape fragmentation influences genetic isolation among populations of a gliding mammal

Forests and woodlands are under continuing pressure from urban and agricultural development. Tree-dependent mammals that rarely venture to the ground are likely to be highly sensitive to forest fragmentation. The Australian squirrel glider (Petaurus norfolcensis) provides an excellent case study to examine genetic (functional) connectivity among populations. It has an extensive range that occurs in a wide band along the east coast. However, its forest and woodland habitat has become greatly reduced in area and is severely fragmented within the southern inland part of the species’ range, where it is recognised as threatened. Within central and northern coastal regions, habitat is much more intact and we thus hypothesise that genetic connectivity will be greater in this region than in the south. To test this we employed microsatellite analysis in a molecular population biology approach. Most sampling locations in the highly modified south showed signatures of genetic isolation. In contrast, a high level of genetic connectivity was inferred among most sampled populations in the more intact habitat of the coastal region, with samples collected 1400 km apart having similar genetic cluster membership. Nonetheless, some coastal populations associated with urbanisation and agriculture are genetically isolated, suggesting the historic pattern observed in the south is emerging on the coast. Our study demonstrates that massive landscape changes following European settlement have had substantial impacts on levels of connectivity among squirrel glider populations, as predicted on the basis of the species’ ecology. This suggests that landscape planning and management in the south should be focused on restoring habitat connectivity where feasible, while along the coast, existing habitat connectivity must be maintained and recent losses restored. Molecular population biology approaches provide a ready means for identifying fragmentation effects on a species at multiple scales. Such studies are required to examine the generality of our findings for other tree-dependent species

Identification of Novel Predictive Biomarkers for Endometrial Malignancies: N-Acylethanolamines

Objective: To identify new biochemical markers for endometrial cancer (EC). Recent evidence suggests that members of the endocannabinoid system (N-acylethanolamines) that bind to and activate receptors that are dysregulated in EC are involved in this tumour's biology. These observations suggest increased N-acylethanolamine levels in the tissue that might appear in plasma and could be used as disease biomarkers. Methods: N-arachidonoylethanolamine (anandamide, AEA) and the N-acylethanolamine substances, N-oleoylethanolamine (OEA), and N-palmitoylethanolamine (PEA) were quantified in plasma and endometrial tissue collected from 31 EC and seven atrophic controls using UHPLC-MS/MS. Receiver-operating characteristics (ROC) and logistic regression were used to determine diagnostic accuracy. Cannabinoid receptor 1 (CB1) and 2 (CB2) protein levels were determined by specific immunohistochemistry and histomorphometric analyses. Correlations between plasma and tissue levels of the three N-acylethanolamines and tissue levels of the three N-acylethanolamines and CB1 and CB2 receptor expression levels were determined using correlation analysis. Results: Plasma and tissue AEA and PEA levels were significantly (p 1.36 nM); sensitivity of 73.3%, specificity of 100% for plasma PEA (>27.5 nM); and sensitivity of 93.3%, specificity of 28.6% for plasma OEA (>4.97 nM). Logistic regression increased the area under the ROC curve (AUC) from 0.781 for AEA, 0.857 for PEA, and 0.543 for OEA to a combined AUC of 0.933 for EC diagnosis. Significant inverse correlations between tissue AEA (R2 = 0.343, p = 0.003) and PEA (R2 = 0.384, p < 0.0001) levels and CB1 expression were observed. No correlation between tissue levels of OEA and CB1 and tissue levels of any of the three N-acylethanolamines and CB2 protein expression were observed, except in the type 1 EC patients. Conclusion: Since plasma AEA and PEA are significantly elevated in patients with EC and a reflection of production by the endometrial tumour, then these lipids have the potential to be useful biomarkers for the early diagnosis of EC

Settlements at the Edge: Remote human settlements in developed nations

Settlements at the Edge examines the evolution, characteristics, functions and shifting economic basis of settlements in sparsely populated areas of developed nations. With a focus on demographic change, the book features theoretical and applied cases which explore the interface between demography, economy, well-being and the environment. This book offers a comprehensive and insightful knowledge base for understanding the role of population in shaping the development and histories of northern sparsely populated areas of developed nations including Alaska (USA), Australia, Canada, Greenland, Norway, Russia, Sweden, Finland and other nations with territories within the Arctic Circle.

Determining client cognitive status following mild traumatic brain injury

Background: People with mild traumatic brain injury (mTBI) commonly experience cognitive impairments. Occupational therapists working in acute general hospitals in Australia routinely access client Glasgow Coma Scale (GCS) scores, and assess cognitive status using standardized tools and by observing basic activity of daily living (ADL) performance. However, limited evidence exists to identify the best assessment(s) to determine client cognitive status. Aim/objectives: To determine whether cognitive status assessed by GCS score and the Cognistat are predictive of basic ADL performance among clients with mTBI in an acute general hospital and make inferences concerning the clinical utility of these assessment tools. Material and methods: Retrospective analysis of medical record data on demographics, Cognistat, GCS, and modified Barthel Index (MBI) using descriptive statistics, chi-square tests and linear regression. Results: Data analysis of 166 participants demonstrated that no associations exist between GCS and Cognistat scores, or Cognistat scores and MBI dependency level. The presence of co-morbid multi-trauma injuries and length of stay were the only variables that significantly predicted MBI dependency level. Conclusion and significance: While the MBI scores are of value in identifying clients with difficulty in basic ADLs, Cognistat and GCS scores are of limited use in differentiating client levels of cognitive impairment and the authors caution against the routine administration of the Cognistat following mTBI. Further research is required to identify more suitable assessments for use with a mTBI population