777 research outputs found

    Predictive model for acute myocardial infarction in working-age population: a machine learning approach

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    Cardiovascular diseases are the leading cause of mortality in Latin America, particularly acute myocardial infarction (AMI), which is the primary cause of atherosclerotic cardiovascular morbidity. This study aims to develop a predictive model for the probability of AMI occurrence in the working-age population, based on atherogenic indices, paraclinical variables, and anthropometric measures. The research conducted a cross-sectional study involving 427 workers aged 40 years or older in Popayán, Colombia. Out of this population, 202 individuals were screened with a 95% confidence interval and a 5% error margin. Epidemiological, anthropometric, and paraclinical data were collected. A binary logistic regression model was employed to identify variables directly associated with the probability of AMI. Predictive classification models were generated using statistical software JASP and the programming language Python. During the training stage, JASP produced a model with an accuracy of 87.5%, while Python generated a model with an accuracy of 90.2%. In the validation stage, JASP achieved an accuracy of 93%, and Python reached 95%. These results establish an effective model for predicting the probability of AMI in the working population

    Keep on track:Monitoring growth and development in children born preterm and full-term

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    Environmental factors in early life influence early development and growth, and influence long-term health. In this thesis we showed that in premature infants, the length and growth of the cerebral cortex (corpus callosum) is a good marker of brain growth and a predictor of later neurological development. An eye-tracking test (watching a video) at the age of 1 year also appeared to be a predictive factor for overall cognitive and motor development 1 year later. We also found that weight gain after preterm birth is associated with body composition in childhood. We also compared 2 methods of measuring body composition in children (DXA and ADP) and found that the results of fat mass (percentage) and fat-free mass at 3-5 years of age differ significantly between both methods, and that these differences are greater in very preterm children compared to full-term children. We present improvements to the algorithm to improve results with ADP. We also investigated sleep and found that parent-reported sleep characteristics and problems are similar between very preterm and full-term children at the age of 3 years. In the general population, we have shown that low birth weight (<2500 grams) and growth retardation during fetal life and childhood are associated with longer sleep duration and higher sleep efficiency at 10-15 years of age. Furthermore, at the same school age, greater intraday variability (fragmentation of the 24-hour activity rhythm) was associated with a higher fat mass index and higher visceral fat mass in boys

    Effects of municipal smoke-free ordinances on secondhand smoke exposure in the Republic of Korea

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    ObjectiveTo reduce premature deaths due to secondhand smoke (SHS) exposure among non-smokers, the Republic of Korea (ROK) adopted changes to the National Health Promotion Act, which allowed local governments to enact municipal ordinances to strengthen their authority to designate smoke-free areas and levy penalty fines. In this study, we examined national trends in SHS exposure after the introduction of these municipal ordinances at the city level in 2010.MethodsWe used interrupted time series analysis to assess whether the trends of SHS exposure in the workplace and at home, and the primary cigarette smoking rate changed following the policy adjustment in the national legislation in ROK. Population-standardized data for selected variables were retrieved from a nationally representative survey dataset and used to study the policy action’s effectiveness.ResultsFollowing the change in the legislation, SHS exposure in the workplace reversed course from an increasing (18% per year) trend prior to the introduction of these smoke-free ordinances to a decreasing (−10% per year) trend after adoption and enforcement of these laws (β2 = 0.18, p-value = 0.07; β3 = −0.10, p-value = 0.02). SHS exposure at home (β2 = 0.10, p-value = 0.09; β3 = −0.03, p-value = 0.14) and the primary cigarette smoking rate (β2 = 0.03, p-value = 0.10; β3 = 0.008, p-value = 0.15) showed no significant changes in the sampled period. Although analyses stratified by sex showed that the allowance of municipal ordinances resulted in reduced SHS exposure in the workplace for both males and females, they did not affect the primary cigarette smoking rate as much, especially among females.ConclusionStrengthening the role of local governments by giving them the authority to enact and enforce penalties on SHS exposure violation helped ROK to reduce SHS exposure in the workplace. However, smoking behaviors and related activities seemed to shift to less restrictive areas such as on the streets and in apartment hallways, negating some of the effects due to these ordinances. Future studies should investigate how smoke-free policies beyond public places can further reduce the SHS exposure in ROK

    Libro de Abstracts | VIII Jornadas de Investigación y Doctorado: “Ética en la Investigación Científica”

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    El objetivo de estas Jornadas es promover el intercambio científico entre estudiantes de doctorado, fomentando la participación, el debate y la discusión, de aspectos científicos tan importantes como la ética de la investigación. Para poner en valor el papel de los doctores en la sociedad, no podemos pasar por alto las competencias transversales que estos deben adquirir en su formación como doctores. Si bien la ética es algo fundamental en todas las facetas de la vida, en el caso de los investigadores cobra especial relevancia, ya que son generadores de conocimiento sobre el que se asentarán futuros desarrollos y políticas de interés para toda la sociedad. Por lo tanto, con el fin de incrementar la proyección social de las investigaciones llevadas a cabo y la proyección profesional de los doctores, es importante incidir en su formación ética. La base de la investigación académica está construida sobre la confianza. Los investigadores confían en que los resultados informados por otros son veraces. La sociedad confía en que los resultados de la investigación reflejan un intento honesto por parte de los científicos de describir el mundo de forma precisa. Pero esta confianza sólo perdurará si la comunidad científica transmite los valores asociados a la conducta de la ética de investigación. Por este motivo, la Universidad juega un papel muy importante en la formación de los doctores en cuestiones éticas que son inherentes al método científico y a la generación de conocimiento. Dentro de las universidades, las Escuelas Internacionales de Doctorado, con nuestros recursos, aptitudes y espacio de influencia, nos convertimos en actores clave para promover actitudes éticas entre los doctorandos, y estas Jornadas son una oportunidad muy valiosa para tratar este tema. Las ramas de conocimiento que se incluyen para estas Jornadas son las derivadas de los programas de doctorado de la EIDUCAM: -Ciencias de la Salud -Tecnologías de la Computación e Ingeniería Ambiental -Ciencias Sociales -Ciencias del DeporteActividad Física y DeporteAdministración y Dirección de EmpresasAgricultura y VeterinariaArte y HumanidadesCiencias AmbientalesCiencias de la AlimentaciónCiencias de la ComunicaciónCiencias ReligiosasDerechoEducaciónEnfermeríaFarmaciaIdiomasIngeniería, Industria y ConstrucciónMedicinaOdontologíaPodologíaPsicologíaTerapia y RehabilitaciónTurism

    30th European Congress on Obesity (ECO 2023)

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    This is the abstract book of 30th European Congress on Obesity (ECO 2023

    Design of an intelligent decision support system applied to the diagnosis of obstructive sleep apnea

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    Obstructive sleep apnea (OSA), characterized by recurrent episodes of partial or total obstruction of the upper airway during sleep, is currently one of the respiratory pathologies with the highest incidence worldwide. This situation has led to an increase in the demand for medical appointments and specific diagnostic studies, resulting in long waiting lists, with all the health consequences that this entails for the affected patients. In this context, this paper proposes the design and development of a novel intelligent decision support system applied to the diagnosis of OSA, aiming to identify patients suspected of suffering from the pathology. For this purpose, two sets of heterogeneous information are considered. The first one includes objective data related to the patient’s health profile, with information usually available in electronic health records (anthropometric information, habits, diagnosed conditions and prescribed treatments). The second type includes subjective data related to the specific OSA symptomatology reported by the patient in a specific interview. For the processing of this information, a machine-learning classification algorithm and a set of fuzzy expert systems arranged in cascade are used, obtaining, as a result, two indicators related to the risk of suffering from the disease. Subsequently, by interpreting both risk indicators, it will be possible to determine the severity of the patients’ condition and to generate alerts. For the initial tests, a software artifact was built using a dataset with 4400 patients from the Álvaro Cunqueiro Hospital (Vigo, Galicia, Spain). The preliminary results obtained are promising and demonstrate the potential usefulness of this type of tool in the diagnosis of OSA.Xunta de Galicia | Ref. ED481A-2020/03

    An exploration of a weight management programme for pregnant women living with obesity

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    Introduction: Pregnancy is a time of both transformation and adaptation within the human body. Entering pregnancy with a body mass index (BMI) above the healthy range of 18.5-24.9kg/m2 increases a range of health risks for both the mother and baby and so is a targeted area for weight management. This thesis aims to evaluate a weight management programme (Bumps and Beyond) developed for pregnant women with a high BMI and delivered in two geographic areas in the UK. Methods: Service evaluation was based on audit sheets completed by staff at the two locations. Data from anonymised records were statistically analysed to see if the intervention reduced gestational weight gain, and complications in pregnancy and labour. Intervention fidelity was reviewed via transcripts of staff delivering the intervention in Lincolnshire. Hermeneutic phenomenological analysis (HPA) was undertaken on transcripts of staff delivering the sessions within the intervention at one site. The HPA used the novel approach of utilising the Roles of ‘Sarah the Mother’, ‘Sarah the Dietitian’, and ‘Sarah the Researcher’ to find the essence within the texts of the transcripts. Results: Intervention fidelity was good, and staff were responsive to participants' needs. Full attendance at Lincolnshire Bumps and Beyond showed a positive impact on gestational weight gain, total pregnancy complications, pre-eclampsia, preterm birth, low birth weight and breastfeeding initiation. Full attendance at Nottinghamshire Bumps and Beyond did not show the same benefits and was associated with greater risk of instrumental delivery and lower breastfeeding initiation. HPA of transcripts brought out several essences for each role that indicated possible pathways for development of the programme in the future. Discussion: The contrasting efficacy of Bumps and Beyond at the two locations gives a clear indication that just transferring a programme from one setting to another is not enough to ensure it will be successful. Despite being geographically close, the two locations had different populations which may in part explain the lack of success in Nottinghamshire. In addition to this, the type of staff may have had some effect in how the programme was delivered in each location. Use of the HPA output allowed insight into possible areas that could be further developed or adapted for the population the intervention is to serve. The Bumps and Beyond programme is similar to other small-scale midwife-led interventions that report positive outcomes in one local area. Larger trials have been less successful overall. Conclusion: Small local interventions to control gestational weight gain in women living with obesity can be effective when adapted to suit the needs of the population
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