23 research outputs found

    Cross-sectional examination of 24-hour movement behaviours among 3-and 4-year-old children in urban and rural settings in low-income, middle-income and high-income countries : the SUNRISE study protocol

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    Introduction 24-hour movement behaviours (physical activity, sedentary behaviour and sleep) during the early years are associated with health and developmental outcomes, prompting the WHO to develop Global guidelines for physical activity, sedentary behaviour and sleep for children under 5 years of age. Prevalence data on 24-hour movement behaviours is lacking, particularly in low-income and middle-income countries (LMICs). This paper describes the development of the SUNRISE International Study of Movement Behaviours in the Early Years protocol, designed to address this gap. Methods and analysis SUNRISE is the first international cross-sectional study that aims to determine the proportion of 3- and 4-year-old children who meet the WHO Global guidelines. The study will assess if proportions differ by gender, urban/rural location and/or socioeconomic status. Executive function, motor skills and adiposity will be assessed and potential correlates of 24-hour movement behaviours examined. Pilot research from 24 countries (14 LMICs) informed the study design and protocol. Data are collected locally by research staff from partnering institutions who are trained throughout the research process. Piloting of all measures to determine protocol acceptability and feasibility was interrupted by COVID-19 but is nearing completion. At the time of publication 41 countries are participating in the SUNRISE study. Ethics and dissemination The SUNRISE protocol has received ethics approved from the University of Wollongong, Australia, and in each country by the applicable ethics committees. Approval is also sought from any relevant government departments or organisations. The results will inform global efforts to prevent childhood obesity and ensure young children reach their health and developmental potential. Findings on the correlates of movement behaviours can guide future interventions to improve the movement behaviours in culturally specific ways. Study findings will be disseminated via publications, conference presentations and may contribute to the development of local guidelines and public health interventions.Peer reviewe

    Smooth tests of fit for finite mixture distributions

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    Mixture distributions have become a very flexible and common class of distributions, used in many different applications, but hardly any literure can be found on tests for assessing their goodnes of fit. We propose two types of smooth tests of goodness of fit for mixture distributions. The first test is a genuine smooth test, and the second test makes explicitly use of the mixture structure. In a simulation study the tests are compared to some traditional goodness of fit tests that, however, are not customised for mixture distributions. The first smooth test has overall good power and generally outperforms the other tests. The second smooth test is particularly suitable for assessing the fit of each component distribution separately. The tests are applicable to both continuous and discrete distributions and they are illustrated on three example data sets

    D-cycloserine as adjunct to brief computerised CBT for spider fear: effects on fear, behaviour, and cognitive biases

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    Background and objectives In anxiety disorders, cognitive behavioural therapy (CBT) improves information-processing biases such as implicit fear evaluations and avoidance tendencies, which predicts treatment response. Thus, these cognitive biases might constitute important treatment targets. This study investigated (i) whether information-processing biases could be changed following single-session computerised CBT for spider fear, and (ii) whether this effect could be augmented by administration of D-cycloserine (DCS). Methods Spider-fearful individuals were randomized to receiving either 250 mg of DCS (n = 21) or placebo (n = 17). Three hours after drug administration, they received single-session computerized CBT, characterized by psychoeducation and exposure elements. Spider fear was assessed using self-report, behavioural, and information processing (Extrinsic Affective Simon Task & Approach Avoidance Task) measures at baseline (before drug administration), post-treatment, 1-day, and 1-month follow-up. Results Linear mixed-effects analyses indicated significant improvements on self-report and behavioural spider fear indices following CBT, but not on cognitive bias measures. There was no evidence of an augmentation effect of DCS on any outcome. Cognitive bias measures at 1-day were not predictive of 1-month follow-up spider fear in adjusted linear regression analyses. Limitations Results might be biased by limited representativeness of the sample (high education and intelligence, largely Caucasian ethnicity, young age). The study was also only powered for detection of medium-sized DCS effects. Conclusions These findings do not provide evidence for information-processing biases relating to treatment outcome following computerised CBT for spider fear or augmentation with DCS

    D-cycloserine as adjunct to brief computerised CBT for spider fear: Effects on fear, behaviour, and cognitive biases

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    Contains fulltext : 214596pub.pdf (Publisher’s version ) (Closed access) Contains fulltext : 214596pre.pdf (Author’s version preprint ) (Open Access)Background and objectives: In anxiety disorders, cognitive behavioural therapy (CBT) improves information-processing biases such as implicit fear evaluations and avoidance tendencies, which predicts treatment response. Thus, these cognitive biases might constitute important treatment targets. This study investigated (i) whether information-processing biases could be changed following single-session computerised CBT for spider fear, and (ii) whether this effect could be augmented by administration of D-cycloserine (DCS). Methods: Spider-fearful individuals were randomized to receiving either 250 mg of DCS (n = 21) or placebo (n = 17). Three hours after drug administration, they received single-session computerized CBT, characterized by psychoeducation and exposure elements. Spider fear was assessed using self-report, behavioural, and information processing (Extrinsic Affective Simon Task & Approach Avoidance Task) measures at baseline (before drug administration), post-treatment, 1-day, and 1-month follow-up. Results: Linear mixed-effects analyses indicated significant improvements on self-report and behavioural spider fear indices following CBT, but not on cognitive bias measures. There was no evidence of an augmentation effect of DCS on any outcome. Cognitive bias measures at 1-day were not predictive of 1-month follow-up spider fear in adjusted linear regression analyses. Limitations: Results might be biased by limited representativeness of the sample (high education and intelligence, largely Caucasian ethnicity, young age). The study was also only powered for detection of medium-sized DCS effects. Conclusions: These findings do not provide evidence for information-processing biases relating to treatment outcome following computerised CBT for spider fear or augmentation with DCS.10 p

    D-Cycloserine as adjunct to brief computerised CBT for spider fear: Effects on fear, behaviour, and cognitive biases

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    Abstract In anxiety disorders, cognitive behavioural therapy (CBT) improves information-processing biases such as implicit fear evaluations and avoidance tendencies, which predicts treatment response, so they might constitute important treatment targets. This study investigated (i) whether information-processing biases changed following single-session computerised CBT for spider fear, and (ii) whether this effect could be augmented by administration of D-cycloserine (DCS). Spider-fearful individuals were randomized to receiving 250mg of DCS (n=21) or placebo (n=17) and spider fear was assessed using self-report, behavioural, and information-processing (Extrinsic Affective Simon Task & Approach Avoidance Task) measures. Linear mixed-effects analyses indicated improvements on self-report and behavioural spider fear following CBT, but not on cognitive bias measures. There was no evidence of an augmentation effect of DCS on any outcome. Cognitive biases at 1-day were not predictive of 1-month follow-up spider fear. These findings provide no evidence for information-processing biases relating to CBT response or augmentation with DCS

    A European vs Australasian Comparison of Engineering Laboratory Learning Objectives Rankings

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    Learning objectives are important as they provide direction to teaching staff towards what content should be taught, what activities should be undertaken and what assessments are to be used to confirm understanding. Two decades ago, the evolution of new learning modes such as recorded, remote, and simulation/virtual started the research process to define and better understand learning objectives in the teaching laboratory. Much is still to be learnt about laboratory learning objectives including which are most important, and if what is deemed important is universal. For example, do academics in Europe and Australasia align in which objectives are most important and which are not? To answer this question, European and Australasian engineering academics were asked to rank laboratory objectives across the cognitive, psychomotor, and affective domain using a predefined tool called Laboratory Learning Objectives Measurement. A total of 113 academics from Australasia and 25 from Europe responded to the survey. A statistical analysis was conducted to compare the rankings. The findings from this survey show that substantial alignment occurs across the cognitive and psychomotor domains but differs across the affective domain

    An integrated digital/clinical approach to smoking cessation in lung cancer screening: study protocol for a randomized controlled trial

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    Abstract Background Delivering effective tobacco dependence treatment that is feasible within lung cancer screening (LCS) programs is crucial for realizing the health benefits and cost savings of screening. Large-scale trials and systematic reviews have demonstrated that digital cessation interventions (i.e. web-based and text message) are effective, sustainable over the long-term, scalable, and cost-efficient. Use of digital technologies is commonplace among older adults, making this a feasible approach within LCS programs. Use of cessation treatment has been improved with models that proactively connect smokers to treatment rather than passive referrals. Proactive referral to cessation treatment has been advanced through healthcare systems changes such as modifying the electronic health record to automatically link smokers to treatment. Methods This study evaluates the impact of a proactive enrollment strategy that links LCS-eligible smokers with an evidence-based intervention comprised of a web-based (WEB) program and integrated text messaging (TXT) in a three-arm randomized trial with repeated measures at one, three, six, and 12 months post randomization. The primary outcome is biochemically confirmed abstinence at 12 months post randomization. We will randomize 1650 smokers who present for a clinical LCS to: (1) a usual care control condition (UC) which consists of Ask–Advise–Refer; (2) a digital (WEB + TXT) cessation intervention; or (3) a digital cessation intervention combined with tobacco treatment specialist (TTS) counseling (WEB + TXT + TTS). Discussion The scalability and sustainability of a digital intervention may represent the most cost-effective and feasible approach for LCS programs to proactively engage large numbers of smokers in effective cessation treatment. We will also evaluate the impact and cost-effectiveness of adding proven clinical intervention provided by a TTS. We expect that a combined digital/clinical intervention will yield higher quit rates than digital alone, but that it may not be as cost-effective or feasible for LCS programs to implement. This study is innovative in its use of interoperable, digital technologies to deliver a sustainable, scalable, high-impact cessation intervention and to facilitate its integration within clinical practice. It will add to the growing knowledge base about the overall effectiveness of digital interventions and their role in the healthcare delivery system. Trial registration ClinicalTrials.gov, NCT03084835 . Registered on 9 March 2017
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