3,969 research outputs found

    a systematic review

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    Funding Information: This study is part of an interdisciplinary research project, funded by the Special Research Fund (Bijzonder Onderzoeksfonds) of Ghent University.Introduction: Ontologies are a formal way to represent knowledge in a particular field and have the potential to transform the field of health promotion and digital interventions. However, few researchers in physical activity (PA) are familiar with ontologies, and the field can be difficult to navigate. This systematic review aims to (1) identify ontologies in the field of PA, (2) assess their content and (3) assess their quality. Methods: Databases were searched for ontologies on PA. Ontologies were included if they described PA or sedentary behavior, and were available in English language. We coded whether ontologies covered the user profile, activity, or context domain. For the assessment of quality, we used 12 criteria informed by the Open Biological and Biomedical Ontology (OBO) Foundry principles of good ontology practice. Results: Twenty-eight ontologies met the inclusion criteria. All ontologies covered PA, and 19 included information on the user profile. Context was covered by 17 ontologies (physical context, n = 12; temporal context, n = 14; social context: n = 5). Ontologies met an average of 4.3 out of 12 quality criteria. No ontology met all quality criteria. Discussion: This review did not identify a single comprehensive ontology of PA that allowed reuse. Nonetheless, several ontologies may serve as a good starting point for the promotion of PA. We provide several recommendations about the identification, evaluation, and adaptation of ontologies for their further development and use.publishersversionpublishe

    Understanding the Potential of Sport for Promoting Physical Activity and Psychological Well-Being in Middle-Aged and Older Adults

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    Insufficient physical activity is considered a global public health challenge. This thesis highlights that, for middle-aged and older adults, sport participation is associated with a wide range of psychosocial benefits. Then, the thesis offers insight into the potential of walking sport programmes to promote health-enhancing physical activity in middle-aged and older adults. Recommendations are provided to promote the appeal, feasibility, and sustainability of walking sport programmes in community-based settings

    A qualitative study exploring whether emotion work conducted by health visitors has an influence on their assessment and identification of children in need of care and protection?

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    There is an increased understanding that experiencing adversity in childhood can have a significantly negative impact on the long-term developmental wellbeing of children and young people, as well as their families and communities. Political and societal ambition is that such adverse experiences and their consequences are eradicated through preventative and early intervention measures taken by health, education, and social care practitioners on the identification of a child(ren) who requires support. Professionals working with children have become increasingly proficient in this type of work however no professional is infallible. As a result, many children and young people living with adverse circumstances can go unnoticed. For some this includes experiencing harm which often only comes to light when they have been significantly or fatally injured. Every child living in the United Kingdom is aligned with the universal health visiting service following birth to school entry. Health visitors play an essential role in “searching for health needs” through the “surveillance and assessment of the population’s health and wellbeing” (Nursing & Midwifery Council [NMC] 2004, page 11) . Such universal contact based on these core principles mean that health visitors are ideally positioned to identify children living in challenging situations but, like others, they can find this difficult on occasions. The purpose of this study is to explore whether health visitors view the emotion work they carry out as part of their role has an influence on their ability to assess, identify, and respond to children in need of care and protection. STUDY – METHOD: The study has been progressed qualitatively, using a reflexive ethnographic approach to interviews as the main data collection and analytic method with short periods of office-based observation. 16 health visitors who managed caseloads of between 100-450 pre-school children were observed and interviewed to understand their experiences, values, and beliefs. Gee’s (2014) toolkit was used to critically analyse the discourse shared during the interviews. FINDINGS: The emergent findings demonstrate that health visitors can be conceptualised as ‘applied clinical anthropologists’ in the way they develop relationships with families to gain access to their home environments. The approach taken is to gather information to the depth required for a social, bioecological assessment (Bronfenbrenner 2005) of a child in the context of their family and community system. Health visitors are welcomed by most families and are often successful in assessing and responding to child need. However, at times, the level of engagement necessary can be overwhelming for both the health visitor and parent/carer. This influences the level of child centred assessment obtained. The study has demonstrated that the influences on the work of the health visitor can be interpreted through a complex interplay of theoretical concepts. Firstly, Bourdieu’s “theory of practice” (Bourdieu & Wacquant 1992, page 4) provides the basis on which to understand why challenges and barriers arise during the relational work of the health visitor with the child and family. Secondly, Gross’ (2014) Emotion Regulation Framework and Hochschild’s (1983) theory of Emotional Labour, are utilised to consider how health visitors and families respond emotionally to these challenges. The study then goes on to demonstrate what impact these responses can have on the assessment of children. RECOMMENDATIONS: Implications for practice are that health visitors require increased rates of supervision. This should include an observational element. Educational programmes for health visitors, require a focus on promoting professional wellbeing with learning sessions on unconscious bias. Research and learning developments are suggested to influence assessment and decision-making practice. Research with other professional groups and children & families is recommended to build on the findings of this study in order to influence future safeguarding policy and practice to protect children

    Life in Health 2021: Research and Practice

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    This proceedings contain a selection of papers from the international interdisciplinary conference Life in Health 2021, which took place from 9 to 10 September 2021 in the Czech Republic at the Faculty of Education, Masaryk University. The papers focus on general as well as specific approaches to public health protection and promotion. The findings presented are based on research data and are applicable in health education and general education of children and the whole population

    A Lightweight Type System with Uniqueness and Typestates for the Java Cryptography API

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    Java cryptographic APIs facilitate building secure applications, but not all developers have strong cryptographic knowledge to use these APIs correctly. Several studies have shown that misuses of those cryptographic APIs may cause significant security vulnerabilities, compromising the integrity of applications and exposing sensitive data. Hence, it is an important problem to design methodologies and techniques, which can guide developers in building secure applications with minimum effort, and that are accessible to non-experts in cryptography. In this thesis, we present a methodology that reasons about the correct usage of Java cryptographic APIs with types, specifically targeting to cryptographic applications. Our type system combines aliasing control and the abstraction of object states into typestates, allowing users to express a set of user-defined disciplines on the use of cryptographic APIs and invariants on variable usage. More specifically, we employ the typestate automaton to depict typestates within our type system, and we control aliases by applying the principle of uniqueness to sensitive data. We mainly focus on the usage of initialization vectors. An initialization vector is a binary vector used as the input to initialize the state for the encryption of a plaintext block sequence. Randomization and uniqueness are crucial to an initialization vector. Failing to maintain a unique initialization vector for encryption can compromise confidentiality. Encrypting the same plaintext with the same initialization vector always yields the same ciphertext, thereby simplifying the attacker's task of guessing the cipher pattern. To address this problem practically, we implement our approach as a pluggable type system on top of the EISOP Checker Framework. To minimize the cryptographic expertise required by application developers looking to incorporate secure computing concepts into their software, our approach allows cryptographic experts to plug in the protocols into the system. In this setting, developers merely need to provide minimal annotations on sensitive data—requiring little cryptographic knowledge. We also evaluated our work by performing experiments over one benchmark and 7 real-world Java projects from Github. We found that 6 out 7 projects have security issues. In summary, we found 12 misuses in initialization vectors

    Analysing the Movement and Behaviour of Housed Dairy Cows

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    Cows in modern dairy systems are at risk of comprised health and welfare, and monitoring changes in behaviour can help identify early-warning signs. This thesis uses a local positioning system to detect changes in group-level behaviour. The proximity interaction network structure and consistency of a herd housed in a closed barn on a commercial farm in Essex is explored. Next, the network structure, alongside group-level space-use patterns, on the commercial farm in Essex are compared to those of a second dairy cow herd housed in an open barn (RVC Research farm). In the subsequent chapters, the relationship between barn temperature and bunching behaviour, a potentially maladaptive response to warmer than average temperatures, was investigated in both herds, through various bunching metrics: range size, inter-cow distance and nearest neighbour distance. The herd on the commercial farm in Essex was highly connected and temporally unstable, with inter-individual variation in interactions in the non-feeding zone, and social differentiation across functional zones. No social assortment by parity, days in milk or lameness state was detected. The herd on the RVC Research farm were less connected than the herd on the commercial farm in Essex. Inter-individual variation in proximity interactions was found in the feeding zoneof the RVC Research farm, alongside social differentiation across functional zones. Cows showed preferences for specific areas of the non-feeding zones, more so on the commercial farm in Essex than on the RVC Research farm. Cows increased their bunching behaviour ≥ 20°C in terms of all bunching metrics on the commercial farm in Essex. This pattern was observed for nearest neighbour distance on the RVC Research farm ≥ 15.91°C. This thesis demonstrates the use of precision livestock farming to monitor changes in group-level behaviour to improve the health and welfare of livestock

    Tools for efficient Deep Learning

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    In the era of Deep Learning (DL), there is a fast-growing demand for building and deploying Deep Neural Networks (DNNs) on various platforms. This thesis proposes five tools to address the challenges for designing DNNs that are efficient in time, in resources and in power consumption. We first present Aegis and SPGC to address the challenges in improving the memory efficiency of DL training and inference. Aegis makes mixed precision training (MPT) stabler by layer-wise gradient scaling. Empirical experiments show that Aegis can improve MPT accuracy by at most 4\%. SPGC focuses on structured pruning: replacing standard convolution with group convolution (GConv) to avoid irregular sparsity. SPGC formulates GConv pruning as a channel permutation problem and proposes a novel heuristic polynomial-time algorithm. Common DNNs pruned by SPGC have maximally 1\% higher accuracy than prior work. This thesis also addresses the challenges lying in the gap between DNN descriptions and executables by Polygeist for software and POLSCA for hardware. Many novel techniques, e.g. statement splitting and memory partitioning, are explored and used to expand polyhedral optimisation. Polygeist can speed up software execution in sequential and parallel by 2.53 and 9.47 times on Polybench/C. POLSCA achieves 1.5 times speedup over hardware designs directly generated from high-level synthesis on Polybench/C. Moreover, this thesis presents Deacon, a framework that generates FPGA-based DNN accelerators of streaming architectures with advanced pipelining techniques to address the challenges from heterogeneous convolution and residual connections. Deacon provides fine-grained pipelining, graph-level optimisation, and heuristic exploration by graph colouring. Compared with prior designs, Deacon shows resource/power consumption efficiency improvement of 1.2x/3.5x for MobileNets and 1.0x/2.8x for SqueezeNets. All these tools are open source, some of which have already gained public engagement. We believe they can make efficient deep learning applications easier to build and deploy.Open Acces

    Assessing the Pragmatic Nature of Mobile Health Interventions Promoting Physical Activity: Systematic Review and Meta-analysis

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    Background: Mobile health (mHealth) apps can promote physical activity; however, the pragmatic nature (ie, how well research translates into real-world settings) of these studies is unknown. The impact of study design choices, for example, intervention duration, on intervention effect sizes is also understudied. Objective: This review and meta-analysis aims to describe the pragmatic nature of recent mHealth interventions for promoting physical activity and examine the associations between study effect size and pragmatic study design choices. Methods: The PubMed, Scopus, Web of Science, and PsycINFO databases were searched until April 2020. Studies were eligible if they incorporated apps as the primary intervention, were conducted in health promotion or preventive care settings, included a device-based physical activity outcome, and used randomized study designs. Studies were assessed using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) and Pragmatic-Explanatory Continuum Indicator Summary-2 (PRECIS-2) frameworks. Study effect sizes were summarized using random effect models, and meta-regression was used to examine treatment effect heterogeneity by study characteristics. Results: Overall, 3555 participants were included across 22 interventions, with sample sizes ranging from 27 to 833 (mean 161.6, SD 193.9, median 93) participants. The study populations’ mean age ranged from 10.6 to 61.5 (mean 39.6, SD 6.5) years, and the proportion of males included across all studies was 42.8% (1521/3555). Additionally, intervention lengths varied from 2 weeks to 6 months (mean 60.9, SD 34.9 days). The primary app- or device-based physical activity outcome differed among interventions: most interventions (17/22, 77%) used activity monitors or fitness trackers, whereas the rest (5/22, 23%) used app-based accelerometry measures. Data reporting across the RE-AIM framework was low (5.64/31, 18%) and varied within specific dimensions (Reach=44%; Effectiveness=52%; Adoption=3%; Implementation=10%; Maintenance=12.4%). PRECIS-2 results indicated that most study designs (14/22, 63%) were equally explanatory and pragmatic, with an overall PRECIS-2 score across all interventions of 2.93/5 (SD 0.54). The most pragmatic dimension was flexibility (adherence), with an average score of 3.73 (SD 0.92), whereas follow-up, organization, and flexibility (delivery) appeared more explanatory with means of 2.18 (SD 0.75), 2.36 (SD 1.07), and 2.41 (SD 0.72), respectively. An overall positive treatment effect was observed (Cohen d=0.29, 95% CI 0.13-0.46). Meta-regression analyses revealed that more pragmatic studies (−0.81, 95% CI −1.36 to −0.25) were associated with smaller increases in physical activity. Treatment effect sizes were homogenous across study duration, participants’ age and gender, and RE-AIM scores

    Motivational support intervention to reduce smoking and increase physical activity in smokers not ready to quit: the TARS RCT.

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    BACKGROUND: Physical activity can support smoking cessation for smokers wanting to quit, but there have been no studies on supporting smokers wanting only to reduce. More broadly, the effect of motivational support for such smokers is unclear. OBJECTIVES: The objectives were to determine if motivational support to increase physical activity and reduce smoking for smokers not wanting to immediately quit helps reduce smoking and increase abstinence and physical activity, and to determine if this intervention is cost-effective. DESIGN: This was a multicentred, two-arm, parallel-group, randomised (1 : 1) controlled superiority trial with accompanying trial-based and model-based economic evaluations, and a process evaluation. SETTING AND PARTICIPANTS: Participants from health and other community settings in four English cities received either the intervention (n = 457) or usual support (n = 458). INTERVENTION: The intervention consisted of up to eight face-to-face or telephone behavioural support sessions to reduce smoking and increase physical activity. MAIN OUTCOME MEASURES: The main outcome measures were carbon monoxide-verified 6- and 12-month floating prolonged abstinence (primary outcome), self-reported number of cigarettes smoked per day, number of quit attempts and carbon monoxide-verified abstinence at 3 and 9 months. Furthermore, self-reported (3 and 9 months) and accelerometer-recorded (3 months) physical activity data were gathered. Process items, intervention costs and cost-effectiveness were also assessed. RESULTS: The average age of the sample was 49.8 years, and participants were predominantly from areas with socioeconomic deprivation and were moderately heavy smokers. The intervention was delivered with good fidelity. Few participants achieved carbon monoxide-verified 6-month prolonged abstinence [nine (2.0%) in the intervention group and four (0.9%) in the control group; adjusted odds ratio 2.30 (95% confidence interval 0.70 to 7.56)] or 12-month prolonged abstinence [six (1.3%) in the intervention group and one (0.2%) in the control group; adjusted odds ratio 6.33 (95% confidence interval 0.76 to 53.10)]. At 3 months, the intervention participants smoked fewer cigarettes than the control participants (21.1 vs. 26.8 per day). Intervention participants were more likely to reduce cigarettes by ≥ 50% by 3 months [18.9% vs. 10.5%; adjusted odds ratio 1.98 (95% confidence interval 1.35 to 2.90] and 9 months [14.4% vs. 10.0%; adjusted odds ratio 1.52 (95% confidence interval 1.01 to 2.29)], and reported more moderate-to-vigorous physical activity at 3 months [adjusted weekly mean difference of 81.61 minutes (95% confidence interval 28.75 to 134.47 minutes)], but not at 9 months. Increased physical activity did not mediate intervention effects on smoking. The intervention positively influenced most smoking and physical activity beliefs, with some intervention effects mediating changes in smoking and physical activity outcomes. The average intervention cost was estimated to be £239.18 per person, with an overall additional cost of £173.50 (95% confidence interval -£353.82 to £513.77) when considering intervention and health-care costs. The 1.1% absolute between-group difference in carbon monoxide-verified 6-month prolonged abstinence provided a small gain in lifetime quality-adjusted life-years (0.006), and a minimal saving in lifetime health-care costs (net saving £236). CONCLUSIONS: There was no evidence that behavioural support for smoking reduction and increased physical activity led to meaningful increases in prolonged abstinence among smokers with no immediate plans to quit smoking. The intervention is not cost-effective. LIMITATIONS: Prolonged abstinence rates were much lower than expected, meaning that the trial was underpowered to provide confidence that the intervention doubled prolonged abstinence. FUTURE WORK: Further research should explore the effects of the present intervention to support smokers who want to reduce prior to quitting, and/or extend the support available for prolonged reduction and abstinence. TRIAL REGISTRATION: This trial is registered as ISRCTN47776579. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 27, No. 4. See the NIHR Journals Library website for further project information

    Physical activity monitoring in Alzheimer’s disease during sport interventions: a multi-methodological perspective

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    IntroductionAssessment methods for physical activity and fitness are of upmost importance due to the possible beneficial effect of physical conditioning on neurodegenerative diseases. The implementation of these methods can be challenging when examining elderly or cognitively impaired participants. In the presented study, we compared three different assessment methods for physical activity from the Dementia-MOVE trial, a 6-months intervention study on physical activity in Alzheimer’s disease. The aim was to determine the comparability of physical activity assessments in elderly participants with cognitive impairment due to Alzheimer’s disease.Material or methods38 participants (mean age 70 ± 7 years) with early-stage Alzheimer’s disease (mean MoCA 18.84 ± 4.87) were assessed with (1) fitness trackers for an average of 12 (± 6) days, (2) a written diary on daily activities and (3) a questionnaire on physical activity at three intervention timepoints. For comparison purposes, we present a transformation and harmonization method of the physical assessment output parameters: Metabolic equivalent of task (MET) scores, activity intensity minutes, calorie expenditure and moderate-to-vigorous physical activity (MVPA) scores were derived from all three modalities. The resulting parameters were compared for absolute differences, correlation, and their influence by possible mediating factors such as cognitive state and markers from cerebrospinal fluid.ResultsParticipants showed high acceptance and compliance to all three assessment methods. MET scores and MVPA from fitness trackers and diaries showed high overlap, whilst results from the questionnaire suggest that participants tended to overestimate their physical activity in the long-term retrospective assessment. All activity parameters were independent of the tested Alzheimer’s disease parameters, showing that not only fitness trackers, but also diaries can be successfully applied for physical activity assessment in a sample affected by early-stage Alzheimer’s disease.DiscussionOur results show that fitness trackers and physical activity diaries have the highest robustness, leading to a highly comparable estimation of physical activity in people with Alzheimer’s disease. As assessed parameters, it is recommendable to focus on MET, MVPA and on accelerometric sensor data such as step count, and less on activity calories and different activity intensities which are dependent on different variables and point to a lower reliability
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