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  1. 231421
    “…All associations were examined using linear regression models adjusted for subject-specific age, sex, race/ethnicity, education, income, smoking status, alcohol use, physical activity, body mass index, family history of cardiovascular disease, diabetes status, serum cholesterol, glucose, blood pressure, emphysema, C-reactive protein, medication use, and fellow vessel diameter. …”
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    Air Pollution and the Microvasculature: A Cross-Sectional Assessment of In Vivo Retinal Images in the Population-Based Multi-Ethnic Study of Atherosclerosis (MESA)
  2. 231422
    “…For a so called participative decision – made by the patient after intense counselling – an early and honest patient education pro respectively contra invasive mechanical ventilation is needed. …”
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    Invasive home mechanical ventilation, mainly focused on neuromuscular disorders
  3. 231423
    “…Decision analytic models with lifelong time horizon assuming that early detection results in improved language abilities and lower educational costs and higher life time productivity showed a potential of UNHS for long term cost savings compared to selective screening and no screening. …”
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    Screening of the hearing of newborns - Update
  4. 231424
    “…The majority (86.2%) were young-middle aged adults between the ages of 20-64, living in predominantly urban environments (85.9%), with mid-high household incomes (92.2%) and well-educated, receiving at least a high-school diploma (84.1%). …”
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    Modeling factors influencing the demand for emergency department services in ontario: a comparison of methods
  5. 231425
    por Strawbridge, Rona J., Dupuis, Josée, Prokopenko, Inga, Barker, Adam, Ahlqvist, Emma, Rybin, Denis, Petrie, John R., Travers, Mary E., Bouatia-Naji, Nabila, Dimas, Antigone S., Nica, Alexandra, Wheeler, Eleanor, Chen, Han, Voight, Benjamin F., Taneera, Jalal, Kanoni, Stavroula, Peden, John F., Turrini, Fabiola, Gustafsson, Stefan, Zabena, Carina, Almgren, Peter, Barker, David J.P., Barnes, Daniel, Dennison, Elaine M., Eriksson, Johan G., Eriksson, Per, Eury, Elodie, Folkersen, Lasse, Fox, Caroline S., Frayling, Timothy M., Goel, Anuj, Gu, Harvest F., Horikoshi, Momoko, Isomaa, Bo, Jackson, Anne U., Jameson, Karen A., Kajantie, Eero, Kerr-Conte, Julie, Kuulasmaa, Teemu, Kuusisto, Johanna, Loos, Ruth J.F., Luan, Jian'an, Makrilakis, Konstantinos, Manning, Alisa K., Martínez-Larrad, María Teresa, Narisu, Narisu, Nastase Mannila, Maria, Öhrvik, John, Osmond, Clive, Pascoe, Laura, Payne, Felicity, Sayer, Avan A., Sennblad, Bengt, Silveira, Angela, Stančáková, Alena, Stirrups, Kathy, Swift, Amy J., Syvänen, Ann-Christine, Tuomi, Tiinamaija, van 't Hooft, Ferdinand M., Walker, Mark, Weedon, Michael N., Xie, Weijia, Zethelius, Björn, Ongen, Halit, Mälarstig, Anders, Hopewell, Jemma C., Saleheen, Danish, Chambers, John, Parish, Sarah, Danesh, John, Kooner, Jaspal, Östenson, Claes-Göran, Lind, Lars, Cooper, Cyrus C., Serrano-Ríos, Manuel, Ferrannini, Ele, Forsen, Tom J., Clarke, Robert, Franzosi, Maria Grazia, Seedorf, Udo, Watkins, Hugh, Froguel, Philippe, Johnson, Paul, Deloukas, Panos, Collins, Francis S., Laakso, Markku, Dermitzakis, Emmanouil T., Boehnke, Michael, McCarthy, Mark I., Wareham, Nicholas J., Groop, Leif, Pattou, François, Gloyn, Anna L., Dedoussis, George V., Lyssenko, Valeriya, Meigs, James B., Barroso, Inês, Watanabe, Richard M., Ingelsson, Erik, Langenberg, Claudia, Hamsten, Anders, Florez, Jose C.
    Publicado 2011
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    Genome-Wide Association Identifies Nine Common Variants Associated With Fasting Proinsulin Levels and Provides New Insights Into the Pathophysiology of Type 2 Diabetes
  6. 231426
    “…Participants’ mean age was 43.68 years, 86% were female, 92% were white, mean education was 17.45 years, median income was US $85,000, 84% were overweight or obese, and 73% were inactive. …”
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    Web-Based Guide to Health: Relationship of Theoretical Variables to Change in Physical Activity, Nutrition and Weight at 16-Months
  7. 231427
    “…CONCLUSIONS: Results suggest Web-health users visiting and ultimately participating in online health interventions may likely be middle-aged, well-educated, upper middle class women whose detrimental health behaviors put them at risk of obesity, heart disease, some cancers, and diabetes. …”
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    Social Cognitive Determinants of Nutrition and Physical Activity Among Web-Health Users Enrolling in an Online Intervention: The Influence of Social Support, Self-Efficacy, Outcome Expectations, and Self-Regulation
  8. 231428
    “…Spearman nonparametric correlations indicated few significant associations between patient characteristics and summary website engagement variables, and key factors such as ethnicity, baseline computer use, age, health literacy, and education were not related to use. Partial correlations indicated that engagement, especially in self-monitoring, was most consistently related to improvement in healthy eating (r = .20, P = .04) and reduction of dietary fat (r = -.31, P = .001). …”
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    Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
  9. 231429
    “…Participants were 539 overweight adults (mean age 47.8 years, mean Body Mass Index (BMI) 28.04, 30.9% male, 10.7% low educated) who where recruited among the general population and among employees from large companies by means of advertisements and flyers. …”
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    Results from an Online Computer-Tailored Weight Management Intervention for Overweight Adults: Randomized Controlled Trial
  10. 231430
    “…CONCLUSIONS: The priority actions to rationalize the use of antibacterials in the preschool age should concentrate on the active participation of the pediatricians in permanent education activities. Moreover, the competent authorities should increasing their efforts to limit unnecessary prescriptions and increase appropriateness of prescribing. …”
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    Geographical epidemiology of antibacterials in the preschool age
  11. 231431
    “…We estimated odds ratios (ORs) with logistic regression, adjusted for age, sex, education, employment, and marital status. RESULTS: 586 607 residents in the study areas were screened in stage one, of whom 1711 were diagnosed as having active convulsive epilepsy. …”
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    Prevalence of active convulsive epilepsy in sub-Saharan Africa and associated risk factors: cross-sectional and case-control studies
  12. 231432
    “…BACKGROUND: Providing safety education to parents of young children is important in the prevention of unintentional injuries in or around the home. …”
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    Web-Based eHealth to Support Counseling in Routine Well-Child Care: Pilot Study of E-health4Uth Home Safety
  13. 231433
    “…FUNDING: Medical Research Council (London, UK), with unrestricted educational grants from Novartis, Schering Health Care, Chugai, Pharmion, Celgene, and Ortho Biotech.…”
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    First-line treatment with zoledronic acid as compared with clodronic acid in multiple myeloma (MRC Myeloma IX): a randomised controlled trial
  14. 231434
    por Pearce, Celeste Leigh, Templeman, Claire, Rossing, Mary Anne, Lee, Alice, Near, Aimee M, Webb, Penelope M, Nagle, Christina M, Doherty, Jennifer A, Cushing-Haugen, Kara L, Wicklund, Kristine G, Chang-Claude, Jenny, Hein, Rebecca, Lurie, Galina, Wilkens, Lynne R, Carney, Michael E, Goodman, Marc T, Moysich, Kirsten, Kjaer, Susanne K, Hogdall, Estrid, Jensen, Allan, Goode, Ellen L, Fridley, Brooke L, Larson, Melissa C, Schildkraut, Joellen M, Palmieri, Rachel T, Cramer, Daniel W, Terry, Kathryn L, Vitonis, Allison F, Titus, Linda J, Ziogas, Argyrios, Brewster, Wendy, Anton-Culver, Hoda, Gentry-Maharaj, Alexandra, Ramus, Susan J, Anderson, A Rebecca, Brueggmann, Doerthe, Fasching, Peter A, Gayther, Simon A, Huntsman, David G, Menon, Usha, Ness, Roberta B, Pike, Malcolm C, Risch, Harvey, Wu, Anna H, Berchuck, Andrew
    Publicado 2012
    “…FUNDING: Ovarian Cancer Research Fund, National Institutes of Health, California Cancer Research Program, California Department of Health Services, Lon V Smith Foundation, European Community's Seventh Framework Programme, German Federal Ministry of Education and Research of Germany, Programme of Clinical Biomedical Research, German Cancer Research Centre, Eve Appeal, Oak Foundation, UK National Institute of Health Research, National Health and Medical Research Council of Australia, US Army Medical Research and Materiel Command, Cancer Council Tasmania, Cancer Foundation of Western Australia, Mermaid 1, Danish Cancer Society, and Roswell Park Alliance Foundation.…”
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    Association between endometriosis and risk of histological subtypes of ovarian cancer: a pooled analysis of case–control studies
  15. 231435
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    Localized Cluster Detection Applied to Joint and Separate Military and Veteran Subpopulations
  16. 231436
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    Poison Center Data for Public Health Surveillance: Poison Center and Public Health Perspectives
  17. 231437
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    Use of Control Bar Matrix for Outbreak Detection in Syndromic Surveillance System
  18. 231438
    por Sell, Jessica, Wong, Alyssa
    Publicado 2013
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    A Survey of Data Recording Procedures at New York City Emergency Departments
  19. 231439
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    Using the Flow of People in Cluster Detection and Inference
  20. 231440
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    Evaluating Utility of Cold-Injury Syndromic Surveillance Data in New York City
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