يعرض 1 - 7 نتائج من 7 نتيجة بحث عن '"Enfermedades Crónicas no Transmisibles"', وقت الاستعلام: 0.74s تنقيح النتائج
  1. 1
    رسالة جامعية

    المؤلفون: Macías Acuña, Felipe

    المساهمون: University/Department: Universitat Pompeu Fabra. Departament de Ciències Experimentals i de la Salut

    مرشدي الرسالة: Borrell i Thió, Carme

    المصدر: TDX (Tesis Doctorals en Xarxa)

    وصف الملف: application/pdf

  2. 2
    تقرير

    المصدر: RePEc:bdr:borrec:1234

    جغرافية الموضوع: Bogotá

    وصف الملف: 82 páginas : gráficas, tablas; PDF; application/pdf

  3. 3
    دورية أكاديمية

    المصدر: Universitas Odontologica; Vol. 41 (2022) ; Uiversitas Odontologica; v. 41 (2022) ; 2027-3444 ; 0120-4319

    وصف الملف: application/pdf

  4. 4
    تقرير
  5. 5
    دورية أكاديمية

    المؤلفون: Romero Ruiz, Alex Duván

    المساهمون: Buitrago Gutiérrez, Giancarlo

    وصف الملف: application/pdf

    العلاقة: Adeyi, O.; Smith, O. y Robles, S. (2007). Las políticas públicas y los retos de las enfermedades crónicas no transmisibles. Banco Mundial: Washington DC.; Alberti, K. G. M. M., Eckel, R. H., Grundy, S. M., Zimmet, P. Z., Cleeman, J. I., Donato, K. A., Fruchart, J.-C., James, W. P. T., Loria, C. M., & Smith, S. C. (2009). Harmonizing the Metabolic Syndrome. Circulation, 120(16), 1640-1645. https://doi.org/10.1161/circulationaha.109.192644Test; Aroca, M. (2018). La tributación de las bebidas azucaradas como medida para reducir la obesidad en España. Análisis y valoración de la eficacia a partir de su aplicación en otros países. Revista de Bioética y Derecho: vol. 42, pp.269-310; Austin, P. (2009). Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 28(25), 3083-3107. https://doi.org/10.1002/sim.3697Test; Austin, P. (2011a). An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivariate Behavioral Research, 46(3), 399-424. https://doi.org/10.1080/00273171.2011.568786Test; Austin, P. C. (2011b). Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharmaceutical Statistics, 10(2), 150-161. https://doi.org/10.1002/pst.433Test; Avgerinos, K. I., Spyrou, N., Mantzoros, C. S., & Dalamaga, M. (2019). Obesity and cancer risk: Emerging biological mechanisms and perspectives. Metabolism, 92, 121-135. https://doi.org/10.1016/j.metabol.2018.11.001Test; Baglojevic, M., Jinks, C., Jeffery, A., & Jordan, K. P. (2010). Risk factors for onset of osteoarthritis of the knee in older adults: a systematic review and meta-analysis. Osteoarthritis and Cartilage, 18(1), 24-33. https://doi.org/10.1016/j.joca.2009.08.010Test; Barendregt, J. J., & Veerman, J. L. (2009). Categorical versus continuous risk factors and the calculation of potential impact fractions. Journal of Epidemiology & Community Health, 64(3), 209-212. https://doi.org/10.1136/jech.2009.090274Test; Barker D. (2004). The developmental origins of chronic adult disease. Act Pediatric Supplement, Vol.93, pp.26–33.; Bassanesi, S.; Azambuja, M. y Achutti, A. (2008). Premature Mortality Due to Cardiovascular Disease and Social Inequalities in Porto Alegre: From Evidence to Action. Arquivos Brasileiros de Cardiologia. Vol. 90, pp.370-379; Beaglehole, R.; Bonita, R.; Horton, R., Adams, C. y Alleyne, G. (2011). Priority Actions for the Non-communicable Disease Crisis. The Lancet: vol. 377, pp.1438–1447.; Berenbaum, F., Eymard, F., & Houard, X. (2013). Osteoarthritis, inflammation and obesity. Current Opinion in Rheumatology, 25(1), 114-118. https://doi.org/10.1097/bor.0b013e32835a9414Test; Berkey, C.; Rockett, H.; Field, A.; Gillman, M. y Colditz, G. (2004) Sugar-added beverages and adolescent weight change. Obesity Research: vol. 12, pp.778-788.; Bernal, R. y Peña, X. (2011). Guía práctica para la evaluación de impacto. Bogotá D.C.: Universidad de los Andes, CEDE.; Bijlsma, J. W. J., Berenbaum, F., & Lafeber, F. P. J. G. (2011). Osteoarthritis: an update with relevance for clinical practice. The Lancet, 377(9783), 2115-2126. https://doi.org/10.1016/s0140-6736Test(11)60243-2; Brownell, K. D., Farley, T., Willett, W. C., Popkin, B. M., Chaloupka, F. J., Thompson, J. W., & Ludwig, D. S. (2009). The Public Health and Economic Benefits of Taxing SugarSweetened Beverages. New England Journal of Medicine, 361(16), 1599-1605. https://doi.org/10.1056/nejmhpr0905723Test; Cadena, E.; Rodríguez, A.; Araque, A.; Londoño, M.; Franco, C.; Góngora, P.; Zapata, T. y Cortés, G. (2016). Impuestos a las Bebidas Azucaradas. Bogotá D.C.: Ministerio de Salud y Protección Social.; Caro, J.; Bonilla, R.; Tovar, J. y Popkin, B. (2017). Sugary drinks taxation, projected consumption and fiscal revenues in Colombia: Evidence from a QUAIDS model. PLoS ONE 12. Recuperado de https://doi.org/10.1371/journal.pone.0189026Test; Cox, K.; Burke, V.; Morton, A.; Beilin, L.; y Puddey, I. (2003). The independent and combined effects of 16 weeks of vigorous exercise and energy restriction on body mass and composition in free-living overweight men--a randomized controlled trial. Metabolism: vol. 52, pp.102-115; Dennison, B.; Rockwell, H. y Baker, S. (1997). Excess fruit juice consumption by preschool-aged children is associated with short stature and obesity. Pediatrics: vol. 99, pp. 15-22.; Dhingra, R.; Sullivan, L.; Jacques, P.; Wang, T.; Fox, C.; Meigs, J.; Gaziano, J. y Vasan, R. (2007). Soft Drink Consumption and Risk of Developing Cardiometabolic Risk Factors and the Metabolic Syndrome in Middle-Aged Adults in the Community. Circulation: vol. 116(5), pp.480-488; DiMeglio, D. y Mattes, R. (2000). Liquid versus solid carbohydrate: effects on food intake and body weight. International Journal of Obesity and Related Metabolic Disorders: vol. 24, pp.794–800.; Drewnowski, A. y Bellisle, F. (2007). Liquid calories, sugar, and body weight. American Journal of Clinical Nutrition: vol. 85, pp.651–661.; Duclos, M. (2016). Osteoarthritis, obesity and type 2 diabetes: The weight of waist circumference. Annals of Physical and Rehabilitation Medicine, 59(3), 157-160. https://doi.org/10.1016/j.rehab.2016.04.002Test; Emmett, P. y Jones, L. (2015). Diet, growth, and obesity development throughout childhood in the Avon Longitudinal Study of Parents and Children. Nutrition Review: vol. 3, pp.175-206.; EPIC-InterAct. (2013). Consumption of sweet beverages and type 2 diabetes incidence in European adults: results from EPIC-InterAct. Diabetologia: vol. 56, pp.1520–1530; Ezzati, M.; Lopez, AD.; Rodgers, A. y Murray, C. (2004). Comparative quantifi cation of health risks: global and regional burden of disease attributable to selected major risk factors. Ginebra: World Health Organization.; Falkstedt, D., Hemmingsson, T., Rasmussen, F., & Lundberg, I. (2006). Body mass index in late adolescence and its association with coronary heart disease and stroke in middle age among Swedish men. International Journal of Obesity, 31(5), 777-783. https://doi.org/10.1038/sj.ijo.0803480Test; Field, A. E., Cook, N. R., & Gillman, M. W. (2005). Weight Status in Childhood as a Predictor of Becoming Overweight or Hypertensive in Early Adulthood**. Obesity Research, 13(1), 163-169. https://doi.org/10.1038/oby.2005.21Test; Ford, C. A., Nonnemaker, J. M., & Wirth, K. E. (2009). The Influence of Adolescent Body Mass Index, Physical Activity, and Tobacco Use on Blood Pressure and Cholesterol in Young Adulthood. Journal of Adolescent Health, 43(6), 576-583. https://doi.org/10.1016/j.jadohealth.2008.06.010Test; Frenk, J.; Bobadilia, J.; Strm, C.; Frejka, T. y Lozano, R. (1991). Elements for a theory of the health transition. México: Health Transition Review. vol.1: pp. 21-38; Gaviria, A. (2016). Impuesto a las Bebidas Azucaradas. Foro sobre Impuesto a las Bebidas Azucaradas. Foro llevado a cabo en Universidad de los Andes. Octubre, 2016.; Global Burden of Disease Collaborators. (2010). The State of US Health, 1990–2010 Burden of Diseases, Injuries, and Risk Factors. JAMA. 310: 591–608. doi:10.1001/jama.2013.13805; Global Dietary Database. (2019). Global Dietary Data 2015. Disponible en: www.globaldietarydatabase.org; Goldring, M. B., & Otero, M. (2011). Inflammation in osteoarthritis. Current Opinion in Rheumatology, 23(5), 471-478. https://doi.org/10.1097/bor.0b013e328349c2b1Test; Gómez, R., Conde, J., Scotece, M., Gómez-Reino, J. J., Lago, F., & Gualillo, O. (2011). What’s new in our understanding of the role of adipokines in rheumatic diseases? Nature Reviews Rheumatology, 7(9), 528-536. https://doi.org/10.1038/nrrheum.2011.107Test; Grundy, S.; Cleeman, J.; Daniels, S.; Donato, K.; Eckel, R.; Franklin, B.; Gordon, D.; Krauss, R.; Savage, P.; Smith, S Jr.; Spertus, J. y Costa, F. (2005). Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Circulation: vol. 13, pp.322–327.; Guerrero, R.; Gallego, AI.; Becerril-Montekio, V. y Vásquez, J. (2011). Sistema de salud de Colombia. México D.F.: Salud Pública de México, vol. 53.; Hall, K. D., Sacks, G., Chandramohan, D., Chow, C. C., Wang, Y. C., Gortmaker, S. L., & Swinburn, B. A. (2011). Quantification of the effect of energy imbalance on bodyweight. The Lancet, 378(9793), 826-837. https://doi.org/10.1016/s0140-6736Test(11)60812-x; Hamilton, L. y Wills, W. (2017). Patterns of sugar-sweetened beverage consumption amongst young people aged 13-15 years during the school day in Scotland. Appetite: vol. 116, pp.196-204.; Hopkins, B. D., Goncalves, M. D., & Cantley, L. C. (2016). Obesity and Cancer Mechanisms: Cancer Metabolism. Journal of Clinical Oncology, 34(35), 4277-4283. https://doi.org/10.1200/jco.2016.67.9712Test; ICBF. (2010). Encuesta Nacional de la Situación Nutricional en Colombia 2010. Recuperado de: http://www.icbf.gov.co/portal/page/portal/Descargas1/Resumenfi.pdfTest; Instituto Nacional de Cancerología (2016). Consultado el 19 de julio de 2020. Disponible en https://www.cancer.gov.coTest/; Instituto Nacional de Salud. (2015). Carga de enfermedad por Enfermedades Crónicas No Transmisibles y Discapacidad en Colombia. Bogotá D.C.: Observatorio Nacional de Salud, Quinto Informe ONS.; Instituto Nacional de Salud Pública de México. (2014). Resultados preliminares sobre los efectos del impuesto de un peso a bebidas azucaradas en México. Obtenido de: https://www.insp.mx/epppo/blog/3666-reduccion-consumobebidas.htmlTest; James, J.; Thomas, P.; Cavan, D. y Kerr, D. (2004). Preventing childhood obesity by reducing consumption of carbonated drinks: cluster randomised controlled trial. British Medical Journal: vol. 328, p.1236; Jee, S. H., Pastor-Barriuso, R., Appel, L. J., Suh, I., Miller, E. R., & Guallar, E. (2005). Body Mass Index and Incident Ischemic Heart Disease in South Korean Men and Women. American Journal of Epidemiology, 162(1), 42-48. https://doi.org/10.1093/aje/kwi166Test; Jordan, J.; Toplak, H.; Grassi, G.; Yumuk, V.; Kotsis, V.; Engeli, S.; Cuspidi, C.; Nilsson, P.; Finer, N. & Doehner, W. (2016). Joint statement of the European Association for the Study of Obesity and the European Society of Hypertension: obesity and heart failure. J Hypertens. Vol. 34, pp.1678-1688.; Jones, A.; Veerman J. L., & Haamond, D. (2017). The health and economic impact of a tax on sugary drinks in Canada. Canada: University Of Waterloo.; Jou, J. y Techakehakij, W. (2012). International application of sugar-sweetened beverage (SSB) taxation in obesity reduction: factors that influence policy effectiveness in countryspecific context. EE.UU.: Health Policy, pp.83-90.; Kapoor, M., Martel-Pelletier, J., Lajeunesse, D., Pelletier, J.-P., & Fahmi, H. (2010). Role of proinflammatory cytokines in the pathophysiology of osteoarthritis. Nature Reviews Rheumatology, 7(1), 33-42. https://doi.org/10.1038/nrrheum.2010.196Test; Kolb, R., Sutterwala, F. S., & Zhang, W. (2016). Obesity and cancer: inflammation bridges the two. Current Opinion in Pharmacology, 29, 77-89. https://doi.org/10.1016/j.coph.2016.07.005Test; Lal, A., Mantilla-Herrera, A. M., Veerman, L., Backholer, K., Sacks, G., Moodie, M., Siahpush, M., Carter, R., & Peeters, A. (2017). Modelled health benefits of a sugarsweetened beverage tax across different socioeconomic groups in Australia: A costeffectiveness and equity analysis. PLOS Medicine, 14(6), e1002326. https://doi.org/10.1371/journal.pmed.1002326Test; Lawlor, D. A., & Leon, D. A. (2005). Association of Body Mass Index and Obesity Measured in Early Childhood With Risk of Coronary Heart Disease and Stroke in Middle Age. Circulation, 111(15), 1891-1896. https://doi.org/10.1161/01.cir.0000161798.45728.4dTest; Lawlor, D. A., Martin, R. M., Gunnell, D., Galobardes, B., Ebrahim, S., Sandhu, J., BenShlomo, Y., McCarron, P., & Davey Smith, G. (2006). Association of body mass index measured in childhood, adolescence, and young adulthood with risk of ischemic heart disease and stroke: findings from 3 historical cohort studies. The American Journal of Clinical Nutrition, 83(4), 767-773. https://doi.org/10.1093/ajcn/83.4.767Test; Li, L., Law, C., & Power, C. (2007). Body mass index throughout the life-course and blood pressure in mid-adult life: a birth cohort study. Journal of Hypertension, 25(6), 1215-1223. https://doi.org/10.1097/hjh.0b013e3280f3c01aTest; Liebman, M.; Pelican, S.; Moore, S.; Holmes, B.; Wardlaw, M.; Melcher, L.; Liddil, A.; Paul, L.; Dunnagan, T. y Haynes, G. (2003). Dietary intake, eating behavior, and physical activity related determinants of high body mass index in rural communities in Wyoming, Montana, and Idaho. International Journal of Obesity and Related Metabolic Disorders: vol. 27, pp.684–692.; López, A.; Mathers, C.; Ezzati, M.; Jamison, D. y Murray, C. (2006). Global Burden of Disease and Risk Factors. Nueva York: Oxford University Press.; Ludwig, D.; Peterson, K. y Gortmaker, S. (2001). Relation between consumption of sugarsweetened drinks and childhood obesity: a prospective, observational analysis. The Lancet: vol. 357, pp.505–508.; MacGregor, G. y Hashem, K. (2014). Action on sugar - lessons from UK salt reduction programme. The Lancet. Vol. 383, pp.929-931.; Malik, V.; Pan, A.; Willett, W. y Hu, F. (2013). Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. American Journal of Clinical Nutrition: vol. 98, pp.1084–1102.; Malik, V.; Popkin, B.; Bray, G.; Després, J. y Hu, F. (2010). Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation: vol. 121, pp.1356–1364.; Malik, V.; Schulze, M. y Hu, F. (2006). Intake of sugar-sweetened beverages and weight gain: a systematic review. American Journal of Clinical Nutrition: vol. 84, pp.74-288.; Manson, J. E., Colditz, G. A., Stampfer, M. J., Willett, W. C., Rosner, B., Monson, R. R., Speizer, F. E., & Hennekens, C. H. (1990). A Prospective Study of Obesity and Risk of Coronary Heart Disease in Women. New England Journal of Medicine, 322(13), 882-889. https://doi.org/10.1056/nejm199003293221303Test; Manyema M, Veerman LJ, Chola L, Tugendhaft A, Sartorius B, Labadarios D, et al. (2014) The Potential Impact of a 20% Tax on Sugar-Sweetened Beverages on Obesity in South African Adults: A Mathematical Model. PLoS ONE 9(8): e105287. https://doi.org/10.1371/journal.pone.0105287Test; Manyema, M., Veerman, J. L., Chola, L., Tugendhaft, A., Labadarios, D., & Hofman, K. (2015). Decreasing the Burden of Type 2 Diabetes in South Africa: The Impact of Taxing Sugar-Sweetened Beverages. PLOS ONE, 10(11), e0143050. https://doi.org/10.1371/journal.pone.0143050Test; Marshall, A. (1920). Principles of Economics. London: MacMillan.; McKenna, M.; Taylor, W.; Marks, J. y Koplan, J. (1998). Current issues and challenges in chronic disease control. in: Brownson R, Remington P, Davis J. chronic disease epidemiology and control. Washington D.C.: American Public Health Association.; Melgar-Quinonez y H.; Kaiser, L. (2004). Relationship of child-feeding practices to overweight in low income Mexican-American preschool-aged children. Journal of the American Dietetic Associaton: vol. 104, pp.1110–1119.; Mhurchu, C., Rodgers, A., Pan, W., Gu, D. & Woodword, M. (2004). Body mass index and cardiovascular disease in the Asia-Pacific Region: an overview of 33 cohorts involving 310.000 participants. International Journal of Epidemiology, 33(4), 751-758. https://doi.org/10.1093/ije/dyh163Test; Ministerio de Salud y Protección Social. (2012). Resúmenes de Política: intervenciones poblacionales en factores de riesgo de Enfermedades Crónicas No Transmisibles. Bogotá D.C.: Ministerio de Salud y Protección Social.; Monsalve, S. (2017). Competencia bajo equilibrio parcial. Bogotá D.C.: Universidad Nacional de Colombia.; Ocampo, P. (2014). Patrones alimentarios y su relación con el exceso de peso en Colombia: Estudio a profundidad a partir de la ENSIN 2010. Bogotá D.C.: Universidad Nacional de Colombia.; Olatona, F.; Airede, C.; Aderibigbe, S. y Osibogun, A. (2019). Nutritional Knowledge, Dietary Habits and Nutritional Status of Diabetic Patients Attending Teaching Hospitals in Lagos, Nigeria. Nigeria.: Journal of community medicine and primary health care.; Olivera, M. J., & Buitrago, G. (2020). Economic costs of Chagas disease in Colombia in 2017: A social perspective. International Journal of Infectious Diseases, 91, 196-201. https://doi.org/10.1016/j.ijid.2019.11.022Test; Omran, A. (1997). A century of epidemiologic transition in the United States. Preventive Medicine: vol. 6, pp.30-51.; Organización Mundial de la Salud. (2000). Obesity: preventing and managing the global epidemic. Report of a WHO consultation. Geneva, Switzerland: World Health Organization. (WHO Technical Report Series, no. 894).; Organización Mundial de la Salud. (2005). Preventing Chronic Deseases: A vital investment. Ginebra: WHO, Department of Chronic Diseases and Health Promotion; Organización Mundial de la Salud. (2010). Informe sobre la situación mundial de las enfermedades no transmisibles. Ginebra: OMS.; Organización Mundial de la Salud. (2014). Estrategia Mundial sobre Régimen Alimentario, Actividad Física y Salud. Ginebra: OMS.; Organización Mundial de la Salud. (2015). Ingesta de azúcares para adultos y niños. Ginebra: OMS.; Organización Mundial de la Salud. (2016). Fiscal Policies for Diet and Prevention of Noncommunicable Diseases. Washington D.C.: World Health Organization; Organización Mundial de la Salud. (2017). Enfermedades no transmisibles. Nota Descriptiva. Washington DC.: OMS.; Organización Panamericana de la Salud. (2016). Factores de riesgo de las enfermedades no transmisibles en la Región de las Américas: Consideraciones para fortalecer la capacidad regulatoria. Documento técnico de referencia REGULA. Washington DC: OPS.; Parks, E. y Hellerstein, M. (2000). Carbohydrate-induced hypertriacylglycerolemia: historical perspective and review of biological mechanisms. American Journal of Clinical Nutrition: vol. 7, pp.412–433.; Passport Euromonitor International. (2020). Euromonitor Industrial and Sector Capsules. Consultado el 28 de marzo de 2020. Disponible en: https://www.euromonitor.comTest/; Phillips, S.; Bandini, L.; Naumova, E.; Cyr, H.; Colclough, S.; Dietz, W. y Must, A. (2004). Energy-dense snack food intake in adolescence: longitudinal relationship to weight and fatness. Obesity Research: vol.12, pp.461–472.; Popkin, B. (1994). The Nutrition Transition in Low-Income Countries: An Emerging Crisis. Nutrition Reviews: vol.52 (9), pp. 285–298.; Powell, L.; Chiriqui, J.; Khan, T.; Wada, R. y Chalopuka, F. (2013). Assesing the potential effectiveness of food and beverage taxes and subsides for impoving public health: a systematic review of prices, demand and body weight outcomes. Obesity Reviews: vol. 2, pp.110-128.; Powell, L. M., Wada, R., Persky, J. J., & Chaloupka, F. J. (2014). Employment Impact of Sugar-Sweetened Beverage Taxes. American Journal of Public Health, 104(4), 672-677. https://doi.org/10.2105/ajph.2013.301630Test; Procuraduría General de la Nación (2012). Financiamiento del Sistema General de Seguridad Social en Salud: Seguimiento y control preventivo a las políticas públicas. Bogotá D.C.: PGN.; Redman, L. M., Smith, S. R., Burton, J. H., Martin, C. K., Il’yasova, D., & Ravussin, E. (2018). Metabolic Slowing and Reduced Oxidative Damage with Sustained Caloric Restriction Support the Rate of Living and Oxidative Damage Theories of Aging. Cell Metabolism, 27(4), 805-815.e4. https://doi.org/10.1016/j.cmet.2018.02.019Test; Reilly, J. & Kelly, J. (2011). Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. International Journal of Obesity, 35(7), 891-898. https://doi.org/10.1038/ijo.2010.222Test; Rice, B.; Quann, E. y Miller, G. (2013). Meeting and exceeding dairy recommendations: effects of dairy consumption on nutrient intakes and risk of chronic disease. Nutrition Review: vol. 71, pp. 209–223.; Rubin, D. (2004). On principles for modeling propensity scores in medical research. Pharmacoepidemiology and Drug Safety, vol. 13, pp.855–857; Saito, I., Iso, H., Kokubo, Y., Inoue, M., & Tsugane, S. (2010). Body mass index, weight change and risk of stroke and stroke subtypes: the Japan Public Health Center-based prospective (JPHC) study. International Journal of Obesity, 35(2), 283-291. https://doi.org/10.1038/ijo.2010.131Test; Sassi, F.; Belloni, A.; y Capobianco, C. (2013). The role of fiscal Policies in Health promotion. OECD: Heath working papers.; Saxena, A., Koon, A. D., Lagrada-Rombaua, L., Angeles-Agdeppa, I., Johns, B., & Capanzana, M. (2019). Modelling the impact of a tax on sweetened beverages in the Philippines: an extended cost–effectiveness analysis. Bulletin of the World Health Organization, 97(2), 97-107. https://doi.org/10.2471/blt.18.219980Test; Schulze, M.; Liu, S.; Rimm, E.; Manson, J.; Willett, W. y Hu F. (2004b). Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. American Journal of Clinical Nutrition: vol. 80, pp.348–356; Schulze, M.; Manson, J.; Ludwig, D.; Colditz, G.; Stampfer, M.; Willet, W. & Hu, F. (2004a). Sugar-Sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-age women. EE.UU: Journal of the American Medical Association.; Shaw, E., Farris, M., McNeil, J., & Friedenreich, C. (2016). Obesity and Endometrial Cancer. Obesity and Cancer, 107-136. https://doi.org/10.1007/978-3-319-42542-9_7Test; Silva, P. y Durán, S. (2014). Bebidas azucaradas, más que un simple refresco. Santiago de Chile: Revista Chilena de Nutrición, vol. 41.; Singh, G.; Danaei, G.; Farzadfar, F.; Stevens, G.; Woodward, M.; Wormser, D.; Kaptoge, S.; Whitlock, G.; Qiao, Q.; Lewington, S.; Di Angelantonio, E.; Vander Hoorn, S.; Lawes, C.; Ali, M.; Mozaffarian, D. y Ezzati, M. (2013). Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group; Asia-Pacific Cohort Studies Collaboration (APCSC); Diabetes Epidemiology: Collaborative analysis of Diagnostic criteria in Europe (DECODE); Emerging Risk Factor Collaboration (ERFC); Prospective Studies Collaboration (PSC). The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis. PLoS One: vol.8, e65174; Singh, G.; Micha, R.; Khatibzadeh, S.; Lim, S.; Ezzati, M. y Mozaffarian, D. (2015a). Estimated Global, regional and national disease burdens related to sugar-sweetened Beverage consumption in 2010. Circulation. Vol.132, No. 8, pp. 639–666.; Singh, G.; Micha, R.; Khatibzadeh, S.; Lim, S.; Ezzati, M. y Mozaffarian, D. (2015b). Global, Regional, and National Consumption of Sugar-Sweetened Beverages, Fruit Juices, and Milk: A Systematic Assessment of Beverage Intake in 187 Countries. PLOS One. Vol.10, No. 8.; Smith, A. (1958). Investigación sobre la naturaleza y causas de la riqueza de las naciones. México D.F.: Fondo de Cultura Económica; Song, Y.-M., Sung, J., Smith, G. D., & Ebrahim, S. (2004). Body Mass Index and Ischemic and Hemorrhagic Stroke. Stroke, 35(4), 831-836. https://doi.org/10.1161/01.str.0000119386.22691.1cTest; Sowers, M., Karvonen-Gutierrez, C. A., Palmieri-Smith, R., Jacobson, J. A., Jiang, Y., & Ashton-Miller, J. A. (2009). Knee osteoarthritis in obese women with cardiometabolic clustering. Arthritis & Rheumatism, 61(10), 1328-1336. https://doi.org/10.1002/art.24739Test; Stanhope, K.; Schwarz, J.; Keim, N.; Griffen, S.; Bremer, A.; Graham, J.; Hatcher, B.; Cox, C.; Dyachenko, A.; Zhang, W.; McGahan, J.; Seibert, A.; Krauss, R.; Chiu, S.; Schaefer, E.; Ai, M.; Otokozawa, S.; Nakajima, K.; Nakano, T.; Beysen, C.; Hellerstein, M.; Berglund, L. y Havelm P. (2009). Consuming fructose-sweetened, not glucose sweetened, beverages increases visceral adiposity and lipids and decreases insulin sensitivity in overweight/obese humans. Journal of Clinical Investigation: vol. 119, pp.1322–1334; Swift, D.; Johannsen, N.; Lavie, C.; Earnest, C. y Church, T. (2014). The role of exercise and physical activity in weight loss. Progress in Cardiovascular Diseases: vol. 56(4), pp. 441-447.; Thomsen, M., & Nordestgaard, B. G. (2014). Myocardial Infarction and Ischemic Heart Disease in Overweight and Obesity With and Without Metabolic Syndrome. JAMA Internacional Medicine, 174(1), 15. https://doi.org/10.1001/jamainternmed.2013.10522Test; Troiano, R.; Briefel, R.; Carroll, M. y Bialostosky, K. (2000). Energy and fat intakes of children and adolescents in the United States: data from the National Health and Nutrition Examination Surveys. American Journal of Clinical Nutrition: vol.72, pp. 1343–1353; Trumbo, P. y Rivers, C. (2014). Systematic review of the evidence for an association between sugar-sweetened beverage consumption and risk of obesity. Nutrition Reviews: vol. 72(9), pp.566-574.; Vartanian, S. (2007). Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. EE.UU.: American Journal Public Health, pp. 667-675.; Vecino, A. y Arroyo, D. (2018). A tax on sugar sweetened beverages in Colombia: Estimating the impact on overweight and obesity prevalence across socio economic level. Social Science & Medicine: vol. 2019, pp. 111-116.; Veerman, J. L., Sacks, G., Antonopoulos, N., & Martin, J. (2016). The Impact of a Tax on Sugar-Sweetened Beverages on Health and Health Care Costs: A Modelling Study. PLOS ONE, 11(4), e0151460. https://doi.org/10.1371/journal.pone.0151460Test; Welsh, J.; Cogswell, M.; Rogers, S.; Rockett, H.; Mei, Z. y Grummer-Strawn, L. (2002). Overweight among low-income preschool children associated with the consumption of sweet drinks: Missouri, 1999– 2002. Pediatrics: vol. 115, e223–229; Willett, W.; Manson, J. y Liu, S. (2002). Glycemic index, glycemic load, and risk of type 2 diabetes. American Journal of Clinical Nutrition: vol. 76, pp.274–280.; Wilson, K. M., & Cho, E. (2016). Obesity and Kidney Cancer. Obesity and Cancer, 81-93. https://doi.org/10.1007/978-3-319-42542-9_5Test; Yatsuya, H., Li, Y., Hilawe, E. H., Ota, A., Wang, C., Chiang, C., Zhang, Y., Uemura, M., Osako, A., Ozaki, Y., & Aoyama, A. (2014). Global Trend in Overweight and Obesity and Its Association With Cardiovascular Disease Incidence. Circulation Journal, 78(12), 2807-2818. https://doi.org/10.1253/circj.cj-14-0850Test; Yoo, S.; Nicklas, T.; Baranowski, T.; Zakeri, I.; Yang, S.; Srinivasan, S.; Berenson, G. (2004). Comparison of dietary intakes associated with metabolic syndrome risk factors in young adults: the Bogalusa Heart Study. American of Journal Clinical Nutrition: vol. 80, pp.841–848.; Yusuf, E., Nelissen, R. G., Ioan-Facsinay, A., Stojanovic-Susulic, V., DeGroot, J., van Osch, G., Middeldorp, S., Huizinga, T. W. J., & Kloppenburg, M. (2009). Association between weight or body mass index and hand osteoarthritis: a systematic review. Annals of the Rheumatic Diseases, 69(4), 761-765. https://doi.org/10.1136/ard.2008.106930Test; Romero, A. (2020). IMPACTO DE UN IMPUESTO A LAS BEBIDAS AZUCARADAS SOBRE LAS FINANZAS DEL SISTEMA DE SALUD EN COLOMBIA. Bogotá D.C.: Universidad Nacional de Colombia. Tesis de Maestría; https://repositorio.unal.edu.co/handle/unal/78772Test

  6. 6
    دورية أكاديمية

    وصف الملف: application/pdf

    العلاقة: Universidad de Antioquia. Centro de Investigaciones y Consultorías (CIC). Grupo de Economía de la Salud (GES). (2012). Economía de las enfermedades crónicas no transmisibles: Implicaciones para Colombia. Observatorio de la Seguridad Social, 11(24), 1-16.; http://hdl.handle.net/10495/3432Test

  7. 7