209 research outputs found

    Path Analysis on the Psychosocial Impact of Obesity or Overweight in Adolescents in Surakarta, Central Java

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    Background: Worldwide obesity shares 33 percent of adolescents body mass index. The prevalence of obesity has increased threefold since 1980. In Indonesia there are 10.8 percent of children aged 13-15 years who are obese. Obesity and overweight can cause various chronic diseases. Another important impact is psychosocial. Correct intervention and early prevention can reduce the psychosocial impact. This study aimed to determine the psychosocial impact of obesity or overweight on adolescents. Subjects and method: This was an analytic observational study with cross-sectional design. The study was conducted at 6 junior high schools in Banjarsari and Jebres, Surakarta, Central Java, from October to November, 2017. A total sample of 160 junior high school students were selected for this study by purposive sampling. The dependent variables were depression, self-assessment, body image, eating disorder, and quality of life. The independent variables were obesity or overweight. Body mass index (BMI) was measured by body weight scale and microtoise. Data of other study variables were collected by questionnaire. The data were analyzed by path analysis.Results: Obesity or overweight was directly associated with depression (b= 1.04; 95% CI= 0.32 to 1.77; p= 0.005) and bad body image (b= -2.35; 95% CI= -3.20 to 1.49; p< 0.001). Depression was directly associated with eating disorder (b= 0.55; CI 95%= -0.87 to 1.18; p=0.091) and poorer quality of life (b= -0.64; 95% CI= -1.34 to 0.69; p= 0.077). Good body image was directly asssociated with positive self-assessment (b= 2.71; 95% CI= 1.89 to 3.52; p<0.001).Conclusion: Obesity or overweight in adolescents is directly asssociated with depression and bad body image. Obesity or overweight is indirectly associated with negative self-assessment, eating disorder, and poorer quality of life.Keyword: overweight, obesity, psychosocial, path analysisCorrespondence: Yayang Kharistik Almasith. Masters Program in Public Health, Universitas Sebelas Maret, Jl. Ir. Sutami 36 A, Surakarta 57126, Central Java.  Email: [email protected]. Mobile: +6281229474445Journal of Epidemiology and Public Health (2018), 3(2): 105-117https://doi.org/10.26911/jepublichealth.2018.03.02.01 Â

    Uji Efek Antiinflamasi Ekstrak Etanol Kulit Batang Jambu Biji (Psidium Guajava) Terhadap Edema Kaki Tikus Jantan Galur Wistar

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    Inflamation is a protective response of body from injury of cell. Edema is one ofinflammation sign. Guava stem leather contains of flavonoid which has potency to inhibitedema. The aims of this research were to study antiinflamation effect of ethanolic extractofguava stem leather (Psidium guajava L.) on edema of white mice strain wistar legs.Thesubjects in this research were 25 wistar male which divided into 5 groups, namely negativecontrol (aquades), positive control (indometasin) and extract group with concentration 1%,2% and 4%. Every group consists of five mices. Aquades, indometasin and extractsupplementation were done per oral, followed with 5% of white egg induction on mice leftleglead to edema formation.Measurement of edema volume was done using plestimometer,and observation of edema were made every hour during 7 hours. Data which obtained wereanalyzed with ANOVA, if there is a differences between treatment, analysis continue to LSDtest. The result shows that supplementation of ethanolic extract of guava stem leatherconcentration 1% and 2 % decrease edema significantly with percent of inhibition 37,37 and32,59%, but supplementation of ethanolic extract of guava stem leather concentration 1% didnot shows inhibition effect

    A portable platform for accelerated PIC codes and its application to GPUs using OpenACC

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    We present a portable platform, called PIC_ENGINE, for accelerating Particle-In-Cell (PIC) codes on heterogeneous many-core architectures such as Graphic Processing Units (GPUs). The aim of this development is efficient simulations on future exascale systems by allowing different parallelization strategies depending on the application problem and the specific architecture. To this end, this platform contains the basic steps of the PIC algorithm and has been designed as a test bed for different algorithmic options and data structures. Among the architectures that this engine can explore, particular attention is given here to systems equipped with GPUs. The study demonstrates that our portable PIC implementation based on the OpenACC programming model can achieve performance closely matching theoretical predictions. Using the Cray XC30 system, Piz Daint, at the Swiss National Supercomputing Centre (CSCS), we show that PIC_ENGINE running on an NVIDIA Kepler K20X GPU can outperform the one on an Intel Sandybridge 8-core CPU by a factor of 3.4

    Accessing scientific data through knowledge graphs with Ontop.

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    In this tutorial, we learn how to set up and exploit the virtual knowledge graph (VKG) approach to access data stored in relational legacy systems and to enrich such data with domain knowledge coming from different heterogeneous (biomedical) resources. The VKG approach is based on an ontology that describes a domain of interest in terms of a vocabulary familiar to the user and exposes a high-level conceptual view of the data. Users can access the data by exploiting the conceptual view, and in this way they do not need to be aware of low-level storage details. They can easily integrate ontologies coming from different sources and can obtain richer answers thanks to the interaction between data and domain knowledge

    ORB5: a global electromagnetic gyrokinetic code using the PIC approach in toroidal geometry

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    This paper presents the current state of the global gyrokinetic code ORB5 as an update of the previous reference [Jolliet et al., Comp. Phys. Commun. 177 409 (2007)]. The ORB5 code solves the electromagnetic Vlasov-Maxwell system of equations using a PIC scheme and also includes collisions and strong flows. The code assumes multiple gyrokinetic ion species at all wavelengths for the polarization density and drift-kinetic electrons. Variants of the physical model can be selected for electrons such as assuming an adiabatic response or a ``hybrid'' model in which passing electrons are assumed adiabatic and trapped electrons are drift-kinetic. A Fourier filter as well as various control variates and noise reduction techniques enable simulations with good signal-to-noise ratios at a limited numerical cost. They are completed with different momentum and zonal flow-conserving heat sources allowing for temperature-gradient and flux-driven simulations. The code, which runs on both CPUs and GPUs, is well benchmarked against other similar codes and analytical predictions, and shows good scalability up to thousands of nodes

    Early detection of poor glycemic control in patients with diabetes mellitus in sub-Saharan Africa: a cohort study in Mozambique

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    Introduction: WHO estimates 422 million cases of diabetes mellitus worldwide. Mozambique has the second-highest mortality related to DM in the African region. Objectives of the present study are to provide data about a DM care service in Mozambique and to evaluate early outcomes of treatment. Methods: The new patients diagnosed with DM in a two-years period in a health centre in Maputo (Mozambique) were included in a retrospective cohort study. Fasting blood glucose (FBG), waist circumference (WC) and BMI were collected at baseline and after three months. Results: 188 patients were enrolled. Median BMI, WC and FBG at baseline were respectively 28 kg/m2(Inter Quartile Range [IQR]23.4-31.8), 98cm (IQR 87-105) and 209mg/dL (IQR 143-295). A non-pharmacological intervention was prescribed for six patients, while 182 patients received metformin 500 mg b.i.d. FBG was significantly reduced at control (226[±103.7]mg/dL vs 186[±93.2]mg/dL, p&lt;0.000); however, glycemic control was reached in 74 patients (39.4%); not controlled patients changed regimen. Elderly patients had a higher glycemic control (adjusted Odds Ratio 2.50, 95% CI 1.11-5.06, p=0.002). Conclusion: Strategies for early detection of scarce glycemic control are feasible in Mozambique and could lead to prompt regimen switch; an invasive therapeutic approach could be preferable in selected cases to achieve control

    Optique: Zooming in on Big Data

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    Despite the dramatic growth of data accumulated by enterprises, obtaining value out of it is extremely challenging. In particular, the data access bottleneck prevents domain experts from getting the right piece of data within a constrained time frame. The Optique Platform unlocks the access to Big Data by providing end users support for directly formulating their information needs through an intuitive visual query interface. The submitted query is then transformed into highly optimized queries over the data sources, which may include streaming data, and exploiting massive parallelism in the backend whenever possible. The Optique Platform thus responds to one major challenge posed by Big Data in data-intensive industrial settings

    THE RELATIONSHIP BETWEEN PARENTAL SOCIOECONOMIC STATUS, BIRTHWEIGHT, AND DEVELOPMENT IN CHILDREN AGED 1-5 YEARS IN SURAKARTA

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    Background: Health report by The Ministry of Health in 2006 revealed that 16% of children under five had mild to severe development problem. About 5-10% of children under five had mental retardation. The current study hypotesized that parental socio-economic status such as family income and maternal education affect child development. The purpose of this study was to analyze the relationshipbetween parental socio-economic status, birthweight, and development in children aged 1-5 years in Surakarta.Subjects and Method: This was an analytic observational study with case control design. This study was conducted at Ngoresan Health Center, Surakarta, from December, 2016 to January, 2017. The study population was children under five living within the area of Ngoresan Health Center. A total of 100 children under five was selected by fixed disease sampling, consisting of 25 cases and 75 controls. The dependent variable was child development, measured by Ministry of Health\u27s KPSP. The independent variables were family income, maternal education, and birthweight. The data were analyzed by chi-square and multiple logistic regression.Results:T here were positive and statistically signifcant relationships between maternal education ≥ high school (OR=1.61; 95% CI=1.5 to 15.7; p=0.046), family income ≥minimum regional wage(OR=5.1; 95% CI= 1.1 to 22.8; p=0.032), and normal birthweight (OR=8.5; 95% CI= 2.4 to 30.1; p=0.001) and child development.Conclusion: There are positiverelationships between highfamily income,high maternal education, normal birthweight, and normal development in children aged 1-5 years.Keywords: parental socio-economic status, birthweight, child development Correspondence: Rizka Agnes Kusumasari. Masters Program in Public Health, Sebelas Maret University, Surakarta. Email: [email protected] of Maternal and Child Health (2016), 1(3): 195-199https://doi.org/10.26911/thejmch.2016.01.03.0

    Ontology Based Data Access in Statoil

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    Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details of the underlying data. The ontology is ‘connected’ to the data via mappings that allow to automatically translate queries posed over the ontology into data-level queries that can be executed by the underlying database management system. Despite a lot of attention from the research community, there are still few instances of real world industrial use of OBDA systems. In this work we present data access challenges in the data-intensive petroleum company Statoil and our experience in addressing these challenges with OBDA technology. In particular, we have developed a deployment module to create ontologies and mappings from relational databases in a semi-automatic fashion; a query processing module to perform and optimise the process of translating ontological queries into data queries and their execution over either a single DB of federated DBs; and a query formulation module to support query construction for engineers with a limited IT background. Our modules have been integrated in one OBDA system, deployed at Statoil, integrated with Statoil’s infrastructure, and evaluated with Statoil’s engineers and data
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