44 resultados para open clusters and associations: general

em Deakin Research Online - Australia


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The study adopted a person-centered approach to examine whether clusters of children could be identified on the basis of temperament profiles assessed on four occasions from infancy to early childhood, and if so whether differing temperament clusters were associated with subsequent differences in behavior problems, social skills, and school adjustment in middle and late childhood. Parent, teacher, and self-report data were obtained from a large community-based cohort sample of Australian children, followed prospectively from infancy to late childhood. Four temperament clusters were identified. Children in the clusters labeled as reactive/inhibited and poor attention regulation tended to have higher levels of later behavior problems than children in clusters labeled nonreactive/outgoing and high attention regulation. Results suggested that a person-oriented clustering approach can identify children on the basis of early temperament who are at greater risk for behavioral, academic, and social difficulties four to eight years later.

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Objective : To examine associations between features of public open spaces, and children's physical activity.
Participants : 163 children aged 8–9 years and 334 adolescents aged 13–15 years from Melbourne, Australia participated in 2004.
Methods : A Geographic Information System was used to identify all public open spaces (POS) within 800 m of participants' homes and their closest POS. The features of all POS identified were audited in 2004/5. Accelerometers measured moderate-to-vigorous physical activity (MVPA) after school and on weekends. Linear regression analyses examined associations between features of the closest POS and participants' MVPA.
Results : Most participants had a POS within 800 m of their home. The presence of playgrounds was positively associated with younger boys' weekend MVPA (B = 24.9 min/day; p ≤ 0.05), and lighting along paths was inversely associated with weekend MVPA (B = − 54.9 min/day; p ≤ 0.05). The number of recreational facilities was inversely associated with younger girls' MVPA after school (B = − 2.6 min/day; p ≤ 0.05) and on the weekend (B = − 8.7 min/day; p ≤ 0.05). The presence of trees providing shade (5.8 min/day, p ≤ 0.01) and signage regarding dogs (B = 6.8 min/day, p ≤ 0.05) were positively associated with adolescent girls' MVPA after school.
Conclusion : Certain features of POS were associated with participants' MVPA, although mixed associations were evident. Further research is required to clarify these complex relationships.

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Personality disorder (PD), outcomes of diverse comorbid physical health conditions, and the associated burden on health service resources have seldom been studied at a population level. Consequently, there is limited evidence that might inform a public health approach to managing PD and associated mental and physical disability. A review was conducted of population-based studies examining the prevalence of PD and associations between physical comorbidities and service utilization. The prevalence of any PDs were common (4.4% -21.5%) among populations spanning England, Wales, Scotland, Western Europe, Norway, Australia, and the United States. Preliminary evidence supports associations between PDs from Clusters A and B and physical comorbidities, namely cardiovascular diseases and arthritis. PD appears to increase health care utilization, particularly in primary care. In order to facilitate rational population health planning, further population studies are required.

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Designing Electronic Learning and Teaching Approaches (DELTA) is an online professional development initiative to support pedagogically-appropriate teaching with technology by showcasing examples of good practice in e-learning. The site aims to increase appreciation of e-learning possibilities for teaching staff through an easy-to-access, just-in-time resource. This paper describes the site and introduces the modular evaluation approach which is being implemented to examine it from different stakeholder perspectives. It then focuses on the first evaluation module which investigates how users perceive and engage with DELTA. The paper provides the initial evaluation findings which will contribute to the ongoing improvement of DELTA as a professional development resource that supports open, distance and flexible learning.

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Background and Purpose: Sleep quality seems to be an antecedent to depressive symptoms during pregnancy. We sought to 1) examine the psychometrics of the Pittsburgh Sleep Quality Index (PSQI) in pregnancy; 2) examine whether sleep quality predicted increases in depressive symptoms; and 3) compare PSQI scores across 3 or 2 levels of depressive symptoms.

Methods: Each of the 252 participants completed the Beck Depression Inventory (short form) and a sleep quality measure at mid and late pregnancy.

Results: PSQI total scores showed good internal consistency and construct validity. An improved model of the internal structure of the PSQI in pregnancy was found with 1 factor labeled Sleep Efficiency, a second labeled Night and Daytime Disturbances, and an Overall Sleep Quality component associated with, but separate from, both of these 2 factors. Although PSQI scores showed moderate stability over time, sleep disturbance scores increased in late pregnancy. Importantly, PSQI prospectively predicted increases in depressive symptoms.

Conclusions:
Findings suggest that the PSQI is useful in pregnancy research. Findings also support the idea that sleep problems are prospective risk factors for increases in depressive symptoms during pregnancy. Practitioners are advised to screen for sleep quality during early pregnancy.

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We assert that companies can make more money and research institutions can improve their performance if inexpensive clusters and enterprise grids are exploited. In this paper, we have demonstrated that our claim is valid by showing the study of how programming environments, tools and middleware could be used for the execution of parallel and sequential applications, multiple parallel applications executing simultaneously on a non-dedicated cluster, and parallel applications on an enterprise grid and that the execution performance was improved. For this purpose an execution environment, and parallel and sequential benchmark applications selected for, and used in, the experiments were characterised.

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How best to assess trade and industrial policy in developing countries is a controversial question that unlocks a host of modelling complexities. Large computable general-equilibrium (CGE) models dominate many economic policy debates, but recent developments in the field have demonstrated that it is by no means clear that they give reliable results to questions of how trade reforms affect the poor. Over the last decade or so, a new approach to modelling complex systems has emerged using agent-based models (ABMs). This paper explores the question of whether ABMs are useful for economic policy-makers seeking to quantitatively model the effects of trade and industrial policies and whether constructive interfaces could be developed between CGE models and ABMs. The paper argues that in developing economic policy, ABMs can and should be used in conjunction with CGE models and that there is much to be gained from a greater understanding of the strengths and weaknesses of different modelling approaches, and what domains are most appropriate for their use. It concludes with some reflections on the reasons for the success of CGE approaches and ways in which ABMs could be made more widely understood and used among economists.

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In recent years, there has been increasing interest in the effects of sedentary behaviour on children’s health, defined as sitting behaviours that require low levels of energy expenditure (≤1.5 METs).1 There is some evidence that sedentary behaviours may be detrimental to children’s health, though the majority of associations observed are derived from cross-sectional studies examining television viewing and adiposity.2 This study adds to the literature by examining cross-sectional and prospective associations between objectively measured moderate- to vigorous physical activity (MVPA) and sedentary time, and cardiometabolic risk factors in youth aged 4–18 years.

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Sleep disturbance is common in autism spectrum disorder (ASD), but longitudinal trajectories are poorly defined. This study measured sleep disturbance at baseline and 1 year later examining change over time and associated problem behaviors. Participants were 84 gender-matched children, aged between 7 and 12 years at baseline; 46 children were diagnosed with ASD, and 38 were typically developing (TYP) children. Parent reports on a range of scales were collected. The ASD group had more sleep disturbance than the TYP group. Sleep disturbance decreased over the year in children with ASD, but not in TYP children. Reduced sleep disturbance was associated with improved social ability. Sleep disturbance at baseline predicted later anxiety. Findings indicated different trajectories of sleep disturbance in ASD, and the implications are discussed.