971 resultados para Morbidity Surveys


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No data has apparently been published on morbidity and outpatient service of faculty and staff of a distance university.  This report presents such data from the Universidad Estatal a Distancia (Costa Rican State University for Distance Education). The participants in this study were the employees who were outpatients between January 15, 2004 and December 15, 2006.  Instead of using a sample, the entire population was studied with a total of 1,526 medical records. Procedure: During the first stage all of the medical records were read and the morbidity data was tabulated.  Subsequently, this information was statistically analyzed using Statgraphics Centurion XV. The main findings were that 50% of the patients used the outpatient service only once during the study period and that most of them were between 20 and 50 years of age.  The days with the most consultations were Mondays, Tuesdays, and Wednesdays.  The number of consultations was relatively stable throughout the year, with a slight increase in June. The three main causes for visiting the service were: upper respiratory tract diseases, muscular-skeletal disorders, and irritated digestive system problems. Main conclusions: Most of the consultations were from the departments with the more faculty and staff members; however, some departments had extremely high or low consultation rates per capita, maybe due to factors such as pathologies that require periodic control, geographical proximity, and psycho-social issues of patients who create a vicious circle due to the somatization of such problems.  The hypothesis that this population’s morbidity rate would differ from the national average because of its high educational level was rejected.  Nevertheless, the hypothesis that there are weekly and yearly cycles was maintained.

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CONTEXT: No study has documented how symptomatic morbidity varies across the body mass index (BMI) spectrum (underweight, normal weight, overweight and obese) or across the entire child and adolescent age range. OBJECTIVE: To (1) quantify physical and psychosocial morbidities experienced by 2-18-year-olds according to BMI status and (2) explore morbidity patterns by age. DESIGN, SETTING AND PARTICIPANTS: Cross-sectional data from two Australian population studies (the Longitudinal Study of Australian Children and the Health of Young Victorians Study) were collected during 2000-2006. Participants were grouped into five age bands: 2-3 (n=4606), 4-5 (n=4983), 6-7 (n=4464), 8-12 (n=1541) and 13-18 (n=928) years. MAIN MEASURES: Outcomes-Parent- and self-reported global health; physical, psychosocial and mental health; special health-care needs; wheeze; asthma and sleep problems. Exposure-measured BMI (kg m(-2)) categorised using standard international cutpoints. ANALYSES: The variation in comorbidities across BMI categories within and between age bands was examined using linear and logistic regression models. RESULTS: Comorbidities varied with BMI category for all except sleep problems, generally showing the highest levels for the obese category. However, patterns differed markedly between age groups. In particular, poorer global health and special health-care needs were associated with underweight in young children, but obesity in older children. Prevalence of poorer physical health varied little by BMI in 2-5-year-olds, but from 6 to 7 years was increasingly associated with obesity. Normal-weight children tended to experience the best psychosocial and mental health, with little evidence that the U-shaped associations of these variables with BMI status varied by age. Wheeze and asthma increased slightly with BMI at all ages. CONCLUSIONS: Deviation from normal weight is associated with health differences in children and adolescents that vary by morbidity and age. As well as lowering risks for later disease, promoting normal body weight appears central to improving the health and well-being of the young.

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AIM: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with reported prevalence of more than 1/100. In Australia, paediatricians are often involved in diagnosing ASD and providing long-term management. However, it is not known how paediatricians diagnose ASD. This study aimed to investigate whether the way Australian paediatricians diagnose ASD is in line with current recommendations. METHODS: Members of the Australian Paediatric Research Network were invited to answer questions about their ASD diagnostic practice in a multi-topic survey and also as part of a study about parents needs around the time of a diagnosis of ASD. RESULTS: The majority of the 124 paediatricians who responded to the multi-topic survey and most who responded to the parent needs survey reported taking more than one session to make a diagnosis of ASD. Most paediatricians included information from preschool, child care or school when making a diagnosis, and over half included information from speech pathology or psychology colleagues more than 50% of the time. The main reasons for not including assessment information in the diagnostic process were service barriers such as no regular service available or long waiting lists. More than 70% reported ordering audiology and genetic tests more than half of the time. CONCLUSION: Not all paediatricians are following current recommendations for diagnosing ASD more than 50% of the time. While there are good reasons why current diagnostic approaches may fall short of expected standards, these need to be overcome to ensure diagnostic validity and optimal services for all children and their families.

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CONTEXT: 'Short Form' health surveys - such as the SF-36 and SF-12 - are widely used in medical research. Spinal cord injury (SCI) is no exception, despite oft-cited concerns regarding measurement properties for populations with physical impairment.OBJECTIVE: To provide a comprehensive overview of the use of Short Form health surveys and their variants within the SCI literature.METHODS: Papers published between database inception and September 2012 were identified from 11 electronic databases; a supplementary reference list search was also conducted. Data extraction focused on details regarding the range of different Short Form surveys and variants used in SCI research, the respective frequency of use, the nature of reporting (complete versus partial reporting) and the method of survey administration.RESULTS: One hundred seventy-four papers were identified. Thirty-six-item Short Form health surveys were frequently administered as complete instruments (n = 82); in 69 of these 82 studies (84%), it was not clearly stated which 36-item version had been used (e.g. SF-36v1, SF-36v2, RAND-36). Data for individual items and domains were often reported (29% of identified studies), indicating significant partial use of standardized measures. Modified variants of standardized health surveys were administered in 12 studies.CONCLUSION: Although standardized Short Form health surveys are common within SCI research, attempts to add, delete, or modify items have resulted in a number of variants, often with minimal supportive psychometric evidence. Using established, generic outcome measures is appealing for a number of reasons. However, validity is paramount and requires further explicit consideration within the SCI research community.

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Objetivos Determinar si existe asociación entre la exposición a violencia, experimentada a nivel individual o municipal, y el embarazo adolescente en mujeres Colombianas entre 13 y 19 años de edad que contestaron la Encuesta de Demografía y Salud en el año 2010. Métodos Estudio de corte transversal, nacional y multinivel. Se tomaron datos de dos niveles jerárquicos: Nivel- 1: Datos individuales de una muestra representativa de 13.313 mujeres entre 13 y 19 años de edad provenientes de La Encuesta Nacional de Demografía y Salud del año 2010 y Nivel- 2: Datos municipales de 258 municipios provenientes de las estadísticas vitales del DANE. Resultados La prevalencia del embarazo adolescente fue del 16.8% IC 95% [16.2-17.4]. El análisis mostró que la asociación entre embarazo adolescente y violencia tanto individual, representada como violencia sexual [OR= 6.99 IC99% 4.80-10.10] y violencia física [OR= 1.74 IC99% 1.47-2.05] así como la violencia municipal medida con tasas de homicidios altas [OR= 1.99 IC99% 1.29-3.07] y muy altas [OR= 2.10 IC99% 1.21-3.61] se mantuvo estadísticamente significativa después de ajustar por las variables: Edad [OR= 1.81 IC99% 1.71-1.91], ocupación [OR= 1.62 IC99% 1.37-1.93], educación primaria o sin educación [OR= 2.20 IC99% 1.47-3.30], educación secundaria [OR= 1.70 IC99% 1.24-2.32], asistir al colegio [OR= 0.18 IC99% 0.15-0.21], conocimiento en la fisiología reproductiva [OR= 1.28 IC99% 1.06-1.54], el índice de riqueza Q1, Q2, Q3 [OR= 2.18 IC99% 1.42-3.34], [OR= 2.00 IC99% 1.39-2.28], [OR= 1.82 IC99% 1.92-2.25] y alto porcentaje de Necesidades básicas insatisfechas a nivel municipal [OR= 2.34 IC99% 1.55-3.52]. Conclusiones Este estudio mostró una relación significativamente estadística entre la violencia sexual y física con el inicio de relaciones sexuales y embarazo adolescente después de controlar por factores sociodemográficos y conocimientos en reproducción sexual en mujeres colombianas de 13 a 19 años en el año 2010. Esta asociación debe continuar siendo estudiada para lograr optimizar las estrategias de prevención y disminuir la tasa actual de embarazos adolescentes en el país y sus consecuencias.

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This paper proposes a process for the classifi cation of new residential electricity customers. The current state of the art is extended by using a combination of smart metering and survey data and by using model-based feature selection for the classifi cation task. Firstly, the normalized representative consumption profi les of the population are derived through the clustering of data from households. Secondly, new customers are classifi ed using survey data and a limited amount of smart metering data. Thirdly, regression analysis and model-based feature selection results explain the importance of the variables and which are the drivers of diff erent consumption profi les, enabling the extraction of appropriate models. The results of a case study show that the use of survey data signi ficantly increases accuracy of the classifi cation task (up to 20%). Considering four consumption groups, more than half of the customers are correctly classifi ed with only one week of metering data, with more weeks the accuracy is signifi cantly improved. The use of model-based feature selection resulted in the use of a signifi cantly lower number of features allowing an easy interpretation of the derived models.