Working with your team to minimize the impact of anticipatory anxiety in relation to aggression towards nurses
- Authors: Edward, Karen-Leigh , Warelow, Philip , Ousey, Karen , Lui, Steve
- Date: 2013
- Type: Text , Journal article
- Relation: International Journal of Mental Health Nursing Vol. 22, no. Supplement S1 (October 2013), p. 8-9
- Full Text: false
- Reviewed:
- Description: C1
Personality disorders in clinical practice : Axis 1 comorbidity, management/treatment, psychologist boundary issues and self-care
- Authors: Grech, Paul
- Date: 2003
- Type: Text , Thesis , PhD
- Full Text:
- Description: Three thematically linked placement project reports and an exegesis addressing professional/ethical issues in the practice of clinical psychology submitted in partial fulfilment of the requirements for the degree of Doctor of Psychology (Clinical).
- Description: Doctor of Psychology (Clinical)
Ode to form
- Authors: Mestrom, Sanne
- Date: 2012
- Type: Text , Visual art work
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Lifting devices used by hospital staff; their relationship to the handling of patients
- Authors: Lean, Leonard
- Date: 1991
- Type: Text , Thesis , Masters
- Full Text: false
- Description: This paper investigates the utilisation of lifting devices by hospital staff, in relation-ship to the handling of patients and the reasons for this. A survey was conducted at Flinders Medical Centre, Adelaide during June and July 1989 using a questionnaire which returned 54% (n=110) completed returns. The results showed a lack of available lifting devices; 16.4% (n=18) of health care respondents had no lifting devices available in their work area while 14.5% (n=16) of respondents had only one lifting device. Where lifting devices were available, 63.6% (n=70) of respondents used the lifting devices less than three times in the week prior to the survey. 24.6% (n=27) of respondent health care workers were of the opinion that lifting devices were not very appropriate for patient handling tasks and 12.7% (n=14) of respondents found the devices difficult to use. 22.7% (n=25) of respondents indicated insufficient room for the use of the devices. 19.1% (n=21) of respondents consider the floor plan layout in which they to be utilised obstructive. 24.5% (n=27) were of respondents found that the lifting devices were not very mobile. 24.6% (n=27) of respondents considered that the setting-up time of the lifting devices took too long and 18.2% (n=20) were of the opinion that the devices were located too far away from the workplace for quick and convenient access. Strong emphasis in the literature review is placed on Common and Statute Law of the employer's "Duty of Care" to the health care workers. The main recommendation is that users need to have input into the design of the equipment. Also, user require initial training and require on-going refresher training in the use of lifting devices for patients. Supervision of users of lifitng devices is essential.
- Description: Thesis (Master of Applied Science )
A systematic review and meta-analysis of factors that relate to aggression perpetrated against nurses by patients/relatives or staff
- Authors: Edward, Karen-Leigh , Stephenson, John , Ousey, Karen , Lui, Steve , Warelow, Philip , Giandinoto, Jo-Anne
- Date: 2016
- Type: Text , Journal article
- Relation: Journal of Clinical Nursing Vol. 25, no. 3-4 (2016), p. 289-299
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- Description: Aims and objectives: The aim of this meta-analysis was to identify the factors that related to aggression (verbal abuse or physical abuse/assault) perpetrated against the nurse or other health professionals by patients/relatives or staff. In the light of the paucity of systematic reviews on this common issue in nursing, the objective was to present a comprehensive systematic review and meta-analysis of these papers. Background: Aggression towards nurses is common around the world and can be the impetus for nurses leaving the profession or developing anxiety when working in particular settings. Design: Systematic review with meta-analysis. Methods: Meta-analyses were conducted to assess the effect of the factors of gender and context (dichotomised as mental health/psychiatric or nonmental health/psychiatric). The databases of Medline (1966-2015), CINAHL (1982-2015) and PsychInfo (1920-2015). Results: A total of 1571 papers were screened by two reviewers. At the final decision 14 were selected for analysis. A higher proportion of female nurses than male nurses were reported to be the victims of verbal abuse, with the difference in proportions being statistically significant. A statistically significant higher proportion of male nurses than female nurses were reported to be the victims of physical abuse. There was a significantly higher proportion of mental health nurses reported experiencing physical abuse as compared to nonmental health nurses. Conclusions: The analysis reveal female nurses have greater odds of verbal abuse than male nurses and male nurses have greater odds of physical abuse than female nurses. Overall mental health nurses had three times higher odds of physical assault than other nurses. © 2016 John Wiley & Sons Ltd.
First record of pectoral sandpiper calidris melanotus for bali Island, Indonesia, at Serangan Island in Benoa Bay
- Authors: Jones, Steve , Trainor, Colin
- Date: 2016
- Type: Text , Journal article
- Relation: Wader Study Vol. 123, no. 2 (2016), p. 153-155
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- Description: On 19 August 2015, SJ visited Serangan Island, Bali Island, Indonesia (8°44'22''S, 115°13'13''E; Fig. 1), making an initial stop at a large pond in the centre-west near Benoa Bay. The pond is also part of a project to reclaim parts of Benoa Bay and is ‘land under reclamation’; it is landlocked and fed by rainwater and not affected by tidal movements. As the tide recedes thousands of shorebirds and waterbirds disperse to all areas of Benoa Bay, and return again to these ponds on the incoming tide. Shorebird species that stay at the ponds during low tide are usually quieter and hence there are opportunities to take photographs. While attempting to photograph birds of local interest such as Little Ringed Plover Charadrius dubius, SJ took photographs of two birds; one was clearly a Wood Sandpiper Tringa glareola, but the other with bright yellow legs could not be identified in the field. When the photos were processed the yellow-legged bird was identified as a Sharp-tailed Sandpiper Calidris acuminata, but when later uploaded online it was confirmed on social media by several shorebirders (see Acknowledgements) as a Pectoral Sandpiper C. melanotus. About six photographs were taken initially, but SJ returned to take clearer shots on 21 August 2015. The identity of the bird was then confirmed and it was also considered to be a probable adult female. The key features visible in the photos that distinguish Pectoral from Sharp-tailed Sandpiper include the obvious pectoral band, yellowish legs and ‘small-headedness’ (Fig. 2). It was not seen by SJ on subsequent visits made with the specific aim of relocating the bird (25–26 & 28 August 2015), so it had presumably left the site.
Soil moisture, organic carbon, and nitrogen content prediction with hyperspectral data using regression models
- Authors: Datta, Dristi , Paul, Manoranjan , Murshed, Manzur , Teng, Shyh Wei , Schmidtke, Leigh
- Date: 2022
- Type: Text , Journal article
- Relation: Sensors (Basel, Switzerland) Vol. 22, no. 20 (2022), p.
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- Description: Soil moisture, soil organic carbon, and nitrogen content prediction are considered significant fields of study as they are directly related to plant health and food production. Direct estimation of these soil properties with traditional methods, for example, the oven-drying technique and chemical analysis, is a time and resource-consuming approach and can predict only smaller areas. With the significant development of remote sensing and hyperspectral (HS) imaging technologies, soil moisture, carbon, and nitrogen can be estimated over vast areas. This paper presents a generalized approach to predicting three different essential soil contents using a comprehensive study of various machine learning (ML) models by considering the dimensional reduction in feature spaces. In this study, we have used three popular benchmark HS datasets captured in Germany and Sweden. The efficacy of different ML algorithms is evaluated to predict soil content, and significant improvement is obtained when a specific range of bands is selected. The performance of ML models is further improved by applying principal component analysis (PCA), a dimensional reduction method that works with an unsupervised learning method. The effect of soil temperature on soil moisture prediction is evaluated in this study, and the results show that when the soil temperature is considered with the HS band, the soil moisture prediction accuracy does not improve. However, the combined effect of band selection and feature transformation using PCA significantly enhances the prediction accuracy for soil moisture, carbon, and nitrogen content. This study represents a comprehensive analysis of a wide range of established ML regression models using data preprocessing, effective band selection, and data dimension reduction and attempt to understand which feature combinations provide the best accuracy. The outcomes of several ML models are verified with validation techniques and the best- and worst-case scenarios in terms of soil content are noted. The proposed approach outperforms existing estimation techniques.
An optimal scheduling method in iot-fog-cloud network using combination of aquila optimizer and african vultures optimization
- Authors: Liu, Qing , Kosarirad, Houman , Meisami, Sajad , Alnowibet, Khalid , Hoshyar, Azadeh
- Date: 2023
- Type: Text , Journal article
- Relation: Processes Vol. 11, no. 4 (2023), p.
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- Description: Today, fog and cloud computing environments can be used to further develop the Internet of Things (IoT). In such environments, task scheduling is very efficient for executing user requests, and the optimal scheduling of IoT task requests increases the productivity of the IoT-fog-cloud system. In this paper, a hybrid meta-heuristic (MH) algorithm is developed to schedule the IoT requests in IoT-fog-cloud networks using the Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) called AO_AVOA. In AO_AVOA, the exploration phase of AVOA is improved by using AO operators to obtain the best solution during the process of finding the optimal scheduling solution. A comparison between AO_AVOA and methods of AVOA, AO, Firefly Algorithm (FA), particle swarm optimization (PSO), and Harris Hawks Optimization (HHO) according to performance metrics such as makespan and throughput shows the high ability of AO_AVOA to solve the scheduling problem in IoT-fog-cloud networks. © 2023 by the authors.
Efficient data gathering in 3D linear underwater wireless sensor networks using sink mobility
- Authors: Akbar, Mariam , Javaid, Nadeem , Khan, Ayesha , Imran, Muhammad , Shoaib, Muhammad , Vasilakos, Athanasios
- Date: 2016
- Type: Text , Journal article
- Relation: Sensors (Switzerland) Vol. 16, no. 3 (2016), p.
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- Description: Due to the unpleasant and unpredictable underwater environment, designing an energy-efficient routing protocol for underwater wireless sensor networks (UWSNs) demands more accuracy and extra computations. In the proposed scheme, we introduce a mobile sink (MS), i.e., an autonomous underwater vehicle (AUV), and also courier nodes (CNs), to minimize the energy consumption of nodes. MS and CNs stop at specific stops for data gathering; later on, CNs forward the received data to the MS for further transmission. By the mobility of CNs and MS, the overall energy consumption of nodes is minimized. We perform simulations to investigate the performance of the proposed scheme and compare it to preexisting techniques. Simulation results are compared in terms of network lifetime, throughput, path loss, transmission loss and packet drop ratio. The results show that the proposed technique performs better in terms of network lifetime, throughput, path loss and scalability. © 2016 by the authors; licensee MDPI, Basel, Switzerland.
The epidemiology of melioidosis and its association with diabetes mellitus : a systematic review and meta-analysis
- Authors: Chowdhury, Sukanta , Barai, Lovely , Afroze, Samira , Ghosh, Probir , Afroz, Farhana , Rahman, Habibur , Ghosh, Sumon , Hossain, Muhammad , Rahman, Mohammed , Das, Pritomy , Rahim, Muhammad
- Date: 2022
- Type: Text , Journal article
- Relation: Pathogens Vol. 11, no. 2 (2022), p.
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- Description: Melioidosis is an under-recognized fatal disease in humans, caused by the Gram-negative bacterium Burkholderia pseudomallei. Globally, more than 35,000 human melioidosis cases have been reported since 1911. Soil acts as the natural reservoir of B. pseudomallei. Humans may become infected by this pathogen through direct contact with contaminated soil and/or water. Melioidosis commonly occurs in patients with diabetes mellitus, who increase the occurrence of melioidosis in a population. We carried out a systematic review and meta-analysis to investigate to what extent diabetes mellitus affects the patient in getting melioidosis. We selected 39 articles for meta-analysis. This extensive review also provided the latest updates on the global distribution, clinical manifestation, preexisting underlying diseases, and risk factors of melioidosis. Diabetes mellitus was identified as the predominant predisposing factor for melioidosis in humans. The overall proportion of melioidosis cases having diabetes was 45.68% (95% CI: 44.8–46.57, p < 0.001). Patients with diabetes mellitus were three times more likely to develop melioidosis than patients with no diabetes (RR 3.40, 95% CI: 2.92–3.87, p < 0.001). The other potential risk factors included old age, exposure to soil and water, preexisting underlying diseases (chronic kidney disease, lung disease, heart disease, and thalassemia), and agricultural activities. Evidence-based clinical practice guidelines for melioidosis in patients with diabetes mellitus may be developed and shared with healthcare professionals of melioidosis endemic countries to reduce morbidity. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Conical averagedness and convergence analysis of fixed point algorithms
- Authors: Bartz, Sedi , Dao, Minh , Phan, Hung
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of Global Optimization Vol. 82, no. 2 (2022), p. 351-373
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- Description: We study a conical extension of averaged nonexpansive operators and the role it plays in convergence analysis of fixed point algorithms. Various properties of conically averaged operators are systematically investigated, in particular, the stability under relaxations, convex combinations and compositions. We derive conical averagedness properties of resolvents of generalized monotone operators. These properties are then utilized in order to analyze the convergence of the proximal point algorithm, the forward–backward algorithm, and the adaptive Douglas–Rachford algorithm. Our study unifies, improves and casts new light on recent studies of these topics. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Magic and antimagic labeling of graphs
- Authors: Sugeng, Kiki Ariyanti
- Date: 2005
- Type: Text , Thesis , PhD
- Full Text:
- Description: "A bijection mapping that assigns natural numbers to vertices and/or edges of a graph is called a labeling. In this thesis, we consider graph labelings that have weights associated with each edge and/or vertex. If all the vertex weights (respectively, edge weights) have the same value then the labeling is called magic. If the weight is different for every vertex (respectively, every edge) then we called the labeling antimagic. In this thesis we introduce some variations of magic and antimagic labelings and discuss their properties and provide corresponding labeling schemes. There are two main parts in this thesis. One main part is on vertex labeling and the other main part is on edge labeling."
- Description: Doctor of Philosophy
FOMO : The fear of missing out
- Authors: Ives, Bryce
- Date: 2014
- Type: Text , Visual art work
- Full Text:
Changes in tobacco use patterns during COVID-19 and their correlates among older adults in Bangladesh
- Authors: Mistry, Sabuj , Ali, , Armm , Rahman, Md Ashfikur , Yadav, , Uday , Rahman, Muhammad Aziz
- Date: 2021
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 4 (2021), p. 1-11
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- Reviewed:
- Description: The present study explored the changes in tobacco use patterns during the COVID-19 pandemic and their correlates among older adults in Bangladesh. This cross-sectional study was conducted among 1032 older adults aged ≥60 years in Bangladesh through telephone interviews in October 2020. Participants’ characteristics and COVID-19-related information were gathered using a pretested semi-structured questionnaire. Participants were asked if they noted any change in their tobacco use patterns (smoking or smokeless tobacco) during the COVID-19 pandemic compared to pre-pandemic (6 months prior to the survey). Nearly half of the participants (45.6%) were current tobacco users, of whom 15.9% reported increased tobacco use during the COVID-19 pandemic and all others had no change in their tobacco use patterns. Tobacco use was significantly increased among the participants from rural areas, who had reduced communications during COVID-19 compared to pre-pandemic (OR = 2.76, 95%CI:1.51–5.03). Participants who were aged ≥70 years (OR = 0.33, 95% CI: 0.14–0.77), widowed (OR = 0.36, 95% CI: 0.13–1.00), had pre-existing, non-communi-cable, and/or chronic conditions (OR = 0.44, 95% CI:0.25–0.78), and felt themselves at the highest risk of COVID-19 (OR = 0.31, 95% CI: 0.15–0.62), had significantly lower odds of increased tobacco use. Policy makers and practitioners need to focus on strengthening awareness and raising initia-tives to avoid tobacco use during such a crisis period. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
What is the perceived effectiveness of fully on-the-job training for carpentry apprenticeships?
- Authors: Wright, Barry
- Date: 2018
- Type: Text , Thesis , Masters
- Full Text:
- Description: This study examined the training experiences of apprentices and employers who were involved in fully on-the-job training in the building and construction trades, specifically in carpentry. Fully on-the-job training, in apprenticeship, means that all training is delivered at the workplace rather than in an institution or training centre and must include structured training arrangements. The apprentice acquires competence through the performance of normal work duties, with some self-managed or facilitated training, as well as receiving support from the appointed Registered Training Organisation (RTO) trainer or trainers, which is all undertaken on the worksite. In the building and construction trades, carpentry apprentices in Australia must gain skills and knowledge over an extensive range of competencies to achieve their qualification. Traditional construction trade jobs have become more specialised over the past 20 years, which could limit the learning activities in terms of tasks and knowledge, resulting in a restricted range of skills. The project investigates this issue and other possible challenges of this delivery model. This qualitative research project involved individual apprentice and employer interviews together with key stakeholder focus group sessions. The research question was: What is the perceived effectiveness of fully on-the-job training for carpentry apprenticeships? Findings included people’s views regarding the advantages, disadvantages, the learning impacts and the outcomes of fully on-the-job training and ways of compensating for limited job roles.
- Description: Masters by Research
Strongly regular points of mappings
- Authors: Abbasi, Malek , Théra, Michel
- Date: 2021
- Type: Text , Journal article
- Relation: Fixed Point Theory and Algorithms for Sciences and Engineering Vol. 2021, no. 1 (Journal article 2021), p.
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- Description: In this paper, we use a robust lower directional derivative and provide some sufficient conditions to ensure the strong regularity of a given mapping at a certain point. Then, we discuss the Hoffman estimation and achieve some results for the estimate of the distance to the set of solutions to a system of linear equalities. The advantage of our estimate is that it allows one to calculate the coefficient of the error bound. © 2021, The Author(s).
On graphs with cyclic defect or excess
- Authors: Delorme, Charles , Pineda-Villavicencio, Guillermo
- Date: 2010
- Type: Text , Journal article
- Relation: Electronic Journal of Combinatorics Vol. 17, no. 1 (2010), p.
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- Description: The Moore bound constitutes both an upper bound on the order of a graph of maximum degree d and diameter D = k and a lower bound on the order of a graph of minimum degree d and odd girth g = 2k + 1. Graphs missing or exceeding the Moore bound by ε are called graphs with defect or excess ε, respectively. While Moore graphs (graphs with ε = 0) and graphs with defect or excess 1 have been characterized almost completely, graphs with defect or excess 2 represent a wide unexplored area. Graphs with defect (excess) 2 satisfy the equation Gd,k(A) = Jn +B (Gd,k(A) = Jn - B), where A denotes the adjacency matrix of the graph in question, n its order, Jn the n × n matrix whose entries are all 1's, B the adjacency matrix of a union of vertex-disjoint cycles, and Gd,k(x) a polynomial with integer coefficients such that the matrix Gd,k(A) gives the number of paths of length at most k joining each pair of vertices in the graph. In particular, if B is the adjacency matrix of a cycle of order n we call the corresponding graphs graphs with cyclic defect or excess; these graphs are the subject of our attention in this paper. We prove the non-existence of infinitely many such graphs. As the highlight of the paper we provide the asymptotic upper bound of O(64/3 d3/2) for the number of graphs of odd degree d ≥ 3 and cyclic defect or excess. This bound is in fact quite generous, and as a way of illustration, we show the non-existence of some families of graphs of odd degree d ≥ 3 and cyclic defect or excess. Actually, we conjecture that, apart from the Möbius ladder on 8 vertices, no non-trivial graph of any degree ≥ 3 and cyclic defect or excess exists.
Comparative analysis of machine and deep learning models for soil properties prediction from hyperspectral visual band
- Authors: Datta, Dristi , Paul, Manoranjan , Murshed, Manzur , Teng, Shyh Wei , Schmidtke, Leigh
- Date: 2023
- Type: Text , Journal article
- Relation: Environments Vol. 10, no. 5 (2023), p. 77
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- Description: Estimating various properties of soil, including moisture, carbon, and nitrogen, is crucial for studying their correlation with plant health and food production. However, conventional methods such as oven-drying and chemical analysis are laborious, expensive, and only feasible for a limited land area. With the advent of remote sensing technologies like multi/hyperspectral imaging, it is now possible to predict soil properties non-invasive and cost-effectively for a large expanse of bare land. Recent research shows the possibility of predicting those soil contents from a wide range of hyperspectral data using good prediction algorithms. However, these kinds of hyperspectral sensors are expensive and not widely available. Therefore, this paper investigates different machine and deep learning techniques to predict soil nutrient properties using only the red (R), green (G), and blue (B) bands data to propose a suitable machine/deep learning model that can be used as a rapid soil test. Another objective of this research is to observe and compare the prediction accuracy in three cases i. hyperspectral band ii. full spectrum of the visual band, and iii. three-channel of RGB band and provide a guideline to the user on which spectrum information they should use to predict those soil properties. The outcome of this research helps to develop a mobile application that is easy to use for a quick soil test. This research also explores learning-based algorithms with significant feature combinations and their performance comparisons in predicting soil properties from visual band data. For this, we also explore the impact of dimensional reduction (i.e., principal component analysis) and transformations (i.e., empirical mode decomposition) of features. The results show that the proposed model can comparably predict the soil contents from the three-channel RGB data.
Participation trends in holistic movement practices : A 10-year comparison of yoga/Pilates and t'ai chi/qigong use among a national sample of 195,926 Australians
- Authors: Vergeer, Ineke , Bennie, Jason , Charity, Melanie , Harvey, Jack , van Uffelen, Jannique , Biddle, Stuart , Eime, Rochelle
- Date: 2017
- Type: Text , Journal article
- Relation: BMC Complementary and Alternative Medicine Vol. 17, no. 1 (2017), p. 1-13
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- Description: Background: In recent decades, the evidence supporting the physical and mental health benefits of holistic movement practices such as yoga and t'ai chi have become increasingly established. Consequently, investigating the participation prevalence and patterns of these practices is a relevant pursuit in the public health field. Few studies have provided population-level assessment of participation rates, however, and even fewer have focused on patterns over time. The purpose of this study was to examine participation prevalence and trends in yoga/Pilates and t'ai chi/qigong over a ten-year period in a nationally representative sample of Australians aged 15 years and over, with particular attention to sex and age. A secondary purpose was to juxtapose these findings with participation trends in traditional fitness activities over the same period. Methods: Data comprised modes and types of physical activity, age, and sex variables collected through the Exercise, Recreation and Sport Survey (ERASS), a series of independent cross-sectional Australia-wide surveys conducted yearly between 2001 and 2010. For each year, weighted population estimates were calculated for those participating in yoga/Pilates, t'ai chi/qigong, and fitness activities (e.g. aerobics, calisthenics). Linear regression and multiple logistic regression analyses were used to examine trends in prevalence rates over time and differences among sex and age (15-34; 35-54; 55+ years) groups, respectively. Results: Average prevalence rates between 2001 and 2010 were 3.0% (95% CI 2.9-3.1) for yoga/Pilates, 0.6% (95% CI 0.5-0.6) for t'ai chi/qigong, and 19.2% (95% CI 18.9-19.4) for fitness activities. Across the decade, overall participation rates remained relatively stable for yoga/Pilates and t'ai chi/qigong, while increasing linearly for fitness activities. For both genders and in all three age groups, participation in fitness activities increased, whereas only in the 55+ age group was there a significant increase in yoga/Pilates participation; participation in t'ai chi/qigong declined significantly in the two younger age groups. Conclusions: Participation rates in yoga/Pilates and t'ai chi/qigong in Australia were low and relatively stable. As fitness activities increased in popularity across the decade, holistic movement practices did not. These findings point to the need to investigate activity-specific barriers and facilitators to participation, including intrapersonal, interpersonal, organisational, and environmental factors. © 2017 The Author(s).
A meta-analysis of gene expression signatures of blood pressure and hypertension
- Authors: Charchar, Fadi
- Date: 2015
- Type: Text , Journal article
- Relation: PLoS Genetics Vol. 11, no. 3 (2015), p. 1-29
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- Description: Genome-wide association studies (GWAS) have uncovered numerous genetic variants (SNPs) that are associated with blood pressure (BP). Genetic variants may lead to BP changes by acting on intermediate molecular phenotypes such as coded protein sequence or gene expression, which in turn affect BP variability. Therefore, characterizing genes whose expression is associated with BP may reveal cellular processes involved in BP regulation and uncover how transcripts mediate genetic and environmental effects on BP variability. A meta-analysis of results from six studies of global gene expression profiles of BP and hypertension in whole blood was performed in 7017 individuals who were not receiving antihypertensive drug treatment. We identified 34 genes that were differentially expressed in relation to BP (Bonferroni-corrected p<0.05). Among these genes, FOS and PTGS2 have been previously reported to be involved in BP-related processes; the others are novel. The top BP signature genes in aggregate explain 5%–9% of inter-individual variance in BP. Of note, rs3184504 in SH2B3, which was also reported in GWAS to be associated with BP, was found to be a trans regulator of the expression of 6 of the transcripts we found to be associated with BP (FOS, MYADM, PP1R15A, TAGAP, S100A10, and FGBP2). Gene set enrichment analysis suggested that the BP-related global gene expression changes include genes involved in inflammatory response and apoptosis pathways. Our study provides new insights into molecular mechanisms underlying BP regulation, and suggests novel transcriptomic markers for the treatment and prevention of hypertension. **Please note that there are multiple authors for this article therefore only the name of the Federation University Australia affiliate is provided in this record**