Publicación:
Prevalencia de Prediabetes Factores de Riesgos y Comorbilidades en la Población Adulta Joven del Centro de Salud del Mutis

Página de artículo simple
dc.contributor.advisorMoreno-Meriño, Yasnier
dc.contributor.advisorTorres-Pinzón, Harold
dc.contributor.authorGuevara-Pinzón, Jose Leonel
dc.contributor.juryNeira, Carmen Cecilia
dc.contributor.juryGómez-Ayala, Jaime
dc.contributor.juryUribe-Caputti, Juan Carlos
dc.date.accessioned2025-02-27T16:46:51Z
dc.date.available2025-02-27T16:46:51Z
dc.date.issued2024-12-12
dc.descriptionDigitalspa
dc.description.abstractEste estudio observacional descriptivo de corte transversal se basó en la aplicación del cuestionario FINDRISC, validado para Colombia, a una muestra de población adulta joven de la ciudad de Bucaramanga. El estudio se llevó a cabo en el Centro de Salud del Mutis, donde se aplicaron 312 encuestas a adultos jóvenes. De estos, el 11.5% (36 pacientes) presentaban prediabetes. Entre los factores de riesgo más prevalentes, se destacó la obesidad, con un 72.2% de los pacientes afectados, seguido por el sobrepeso, que alcanzó el 19.4%. Además, el 83.3% de los participantes no realizaba actividad física regular, lo que resalta la relación entre la inactividad física y la prediabetes. Un 58.3% de los pacientes presentaba antecedentes de glucosa elevada, y un porcentaje significativo tenía familiares de primer (15.9%) y segundo grado (30.4%) con diabetes. La hipertensión fue otro factor común, ya que el 86.1% de los prediabéticos presentaba esta condición. Estos hallazgos subrayan la importancia de identificar factores de riesgo relacionados con la prediabetes en una etapa temprana. Los resultados obtenidos refuerzan la necesidad de intervenciones tempranas y dirigidas a modificar el estilo de vida de los pacientes, con un enfoque en la mejora de la nutrición, la promoción de la actividad física y el control de otros factores de riesgo, como la hipertensión y la obesidad. La evaluación realizada en el Centro de Salud del Mutis permitió identificar una serie de factores de riesgo asociados a la prediabetes en la población adulta joven, lo que resalta la importancia de las estrategias preventivas.spa
dc.description.abstractThis cross-sectional descriptive observational study was based on the application of the FINDRISC questionnaire, validated for Colombia, to a sample of young adult population in the city of Bucaramanga. The study was conducted at the Mutis Health Center, where 312 surveys were applied to young adults. Of these, 11.5% (36 patients) had prediabetes. Among the most prevalent risk factors, obesity was highlighted, affecting 72.2% of the patients, followed by overweight, which reached 19.4%. Additionally, 83.3% of the participants did not engage in regular physical activity, which emphasizes the relationship between physical inactivity and prediabetes. 58.3% of the patients had a history of elevated glucose, and a significant percentage had first-degree (15.9%) and second-degree (30.4%) relatives with diabetes. Hypertension was another common factor, as 86.1% of the prediabetic patients had this condition. These findings highlight the importance of identifying risk factors related to prediabetes at an early stage. The results obtained reinforce the need for early interventions aimed at modifying patients' lifestyles, with a focus on improving nutrition, promoting physical activity, and controlling other risk factors such as hypertension and obesity. The evaluation conducted at the Mutis Health Center allowed the identification of a range of risk factors associated with prediabetes in the young adult population, emphasizing the importance of preventive strategies.eng
dc.description.degreelevelEspecialización
dc.description.degreenameEspecialista en Medicina Familiar
dc.description.editionUniversidad de Santander
dc.description.tableofcontentsIntroducción 16 Planteamiento del Problema 19 Descripción del Problema 19 Epidemiología de la Prediabetes 20 Introducción 16 Planteamiento del Problema 19 Descripción del Problema 19 Epidemiología de la Prediabetes 20 Pregunta de Investigación 21 Justificación 22 Objetivos 24 Objetivo General 24 Objetivo Específico 24 Marco Referencial 25 Marco Teórico 25 La Prediabetes Como Factor Clave Para Prevenir la Diabetes Tipo II 26 Prevalencia de Prediabetes en Colombia 27 Factores de Riesgo 28 Identificación de la Prediabetes Para Diagnóstico Temprano 32 Complicaciones de la Prediabetes en la Salud 33 Intervenciones en el Control de la Prediabetes 34 Barreras y Mediadores en la Prevención de la Diabetes de los Programas del Ministerio de Salud en Colombia 36 Estrategias de Intervención 39 Metodología 41 Materiales y Métodos 41 Tipo de Investigación 41 Muestra 42 Criterios de Selección 43 Criterios de Inclusión 43 Criterios de Exclusión 44 Variables Operacionalización 44 Plan de Análisis Estadístico 47 Plan Univariado 47 Procedimientos y Técnicas 47 Objetivo Especifico uno 48 Objetivo Específico dos 48 Objetivo Específico Tres 49 Consideraciones Bioéticas 49 Consideraciones Ambientales 52 Pertinencia Social 52 Compromiso de Divulgación de Resultados 53 Análisis de Resultados 55 Características Para Determinar la Prevalencia de la Prediabetes y Factores de Riesgo Muestras Tomadas en el Cuestionario FINDRISK 56 Índice de Masa Corporal – IMC 57 Perímetro de la Cintura 58 Actividad Física 60 Uso de Antihipertensivos 61 Glucosa Elevada 62 Rasgos Demográficos y Socioeconómicos 63 Antecedentes de Diabetes en Familia 63 Importancia del Factor Educativo y Ocupación del Paciente 63 Discusión 65 Conclusiones 69 Referencias Bibliográficas 73 Apéndices 83spa
dc.format.extent85 p
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/msword
dc.identifier.instnameUniversidad de Santander
dc.identifier.localT 63.24 G829p
dc.identifier.reponameRepositorio Digital Universidad de Santander
dc.identifier.repourlhttps://repositorio.udes.edu.co
dc.identifier.urihttps://repositorio.udes.edu.co/handle/001/11476
dc.language.isospa
dc.publisherUniversidad de Santander
dc.publisher.branchBucaramanga
dc.publisher.facultyFacultad de Ciencias Médicas y de la Salud
dc.publisher.placeBucaramanga, Colombia
dc.publisher.programEspecialización en Medicina Familiar
dc.relation.referencesVista de Uso del instrumento FINDRISK para identificar el riesgo de prediabetes y diabetes mellitus tipo 2 [Internet]. [cited 2022 Jul 15]. Available from: https://revistas.fucsalud.edu.co/index.php/repertorio/article/view/894/1067
dc.relation.referencesInforme de datos de diabetes mundial 2000 - 2045 [Internet]. [cited 2022 Jul 15]. Available from: https://diabetesatlas.org/data/en/world/
dc.relation.referencesCommittee ADAPP. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2022. Diabetes Care [Internet]. 2022 Jan 1 [cited 2022 Jul 15];45(Supplement_1):S17–38. Available from: https://diabetesjournals.org/care/article/45/Supplement_1/S17/138925/2-Classification-and-Diagnosis-of-Diabetes
dc.relation.referencesLópez P, Director J, López-Jaramillo P, Calderón C, Castillo J, Darío Escobar I, et al. Oct-Dic): Expert Consensus. Colomb Med (Cali). 2017;48(4):191–203.
dc.relation.referencesOcampo DF, José H, Md M, Cuello KL. Uso del instrumento FINDRISK para identificar el riesgo de prediabetes y diabetes mellitus tipo 2. Revista Repertorio de Medicina y Cirugía [Internet]. 2019 Oct 25 [cited 2023 Jul 3];28(3):157–63. Available from: https://revistas.fucsalud.edu.co/index.php/repertorio/article/view/894/1106
dc.relation.referencesBeulens JWJ, Rutters F, Rydén L, Schnell O, Mellbin L, Hart HE, et al. Risk and management of pre-diabetes. Eur J Prev Cardiol. 2019 Dec 1;26(2_suppl):47–54.
dc.relation.referencesDefinition and diagnosis of diabetes mellitus and intermediate hyperglycaemia : report of a WHO/IDF consultation [Internet]. [cited 2022 Jul 15]. Available from: https://apps.who.int/iris/handle/10665/43588
dc.relation.referencesFærch K, Vistisen D, Johansen NB, Jørgensen ME. Cardiovascular risk stratification and management in pre-diabetes. Curr Diab Rep [Internet]. 2014 [cited 2022 Jul 15];14(6). Available from: https://pubmed.ncbi.nlm.nih.gov/24743942/
dc.relation.referencesLim HM, Chia YC, Koay ZL. Performance of the Finnish Diabetes Risk Score (FINDRISC) and Modified Asian FINDRISC (ModAsian FINDRISC) for screening of undiagnosed type 2 diabetes mellitus and dysglycaemia in primary care. Prim Care Diabetes [Internet]. 2020 Oct 1 [cited 2022 Jul 16];14(5):494–500. Available from: http://www.primary-care-diabetes.com/article/S1751991818301864/fulltext
dc.relation.referencesDoddamani P, Ramanathan N, Swetha NK, Suma MN. Comparative Assessment of ADA, IDRS, and FINDRISC in Predicting Prediabetes and Diabetes Mellitus in South Indian Population. J Lab Physicians [Internet]. 2021 Mar [cited 2022 Jul 16];13(1):36. Available from: /pmc/articles/PMC8154344/
dc.relation.referencesSchwarz PE, Li J, Lindstrom J, Tuomilehto J. Tools for predicting the risk of type 2 diabetes in daily practice. Horm Metab Res [Internet]. 2009 [cited 2022 Jul 16];41(2):86–97. Available from: http://www.thieme-connect.com/products/ejournals/html/10.1055/s-0028-1087203
dc.relation.referencesAschner P, Buendía R, Brajkovich I, Gonzalez A, Figueredo R, Juarez XE, et al. Determination of the cutoff point for waist circumference that establishes the presence of abdominal obesity in Latin American men and women. Diabetes Res Clin Pract. 2011 Aug 1;93(2):243–7.
dc.relation.referencesZatońska K, Basiak-Rasała A, Połtyn-Zaradna K, Różańska D, Karczewski M, Wołyniec M, et al. Characteristic of FINDRISC Score and Association with Diabetes Development in 6-Year Follow-Up in PURE Poland Cohort Study. 2021 [cited 2022 Jul 16]; Available from: https://doi.org/10.2147/VHRM.S321700
dc.relation.referencesLindström J, Tuomilehto J. The Diabetes Risk ScoreA practical tool to predict type 2 diabetes risk. Diabetes Care [Internet]. 2003 Mar 1 [cited 2022 Jul 16];26(3):725–31. Available from: https://diabetesjournals.org/care/article/26/3/725/29197/The-Diabetes-Risk-ScoreA-practical-tool-to-predict
dc.relation.referencesVista de Guía de práctica clínica para la prevención, detección precoz, diagnóstico, manejo y seguimiento de la diabetes mellitus tipo 2 en adultos. [Internet]. [cited 2022 Jul 16]. Available from: https://colombiamedica.univalle.edu.co/index.php/comedica/article/view/2207/2886
dc.relation.referencesPinilla-Roa AE, Barrera-Perdomo M del P, Pinilla-Roa AE, Barrera-Perdomo M del P. Prevención en diabetes mellitus y riesgo cardiovascular: enfoque médico y nutricional. Revista de la Facultad de Medicina [Internet]. 2018 Jul 1 [cited 2022 Jul 16];66(3):459–68. Available from: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-00112018000300459&lng=en&nrm=iso&tlng=es
dc.relation.referencesHenjum S, Hjellset VT, Andersen E, Flaaten MØ, Morseth MS. Developing a risk score for undiagnosed prediabetes or type 2 diabetes among Saharawi refugees in Algeria. BMC Public Health [Internet]. 2022 Dec 1 [cited 2022 Jul 16];22(1):1–9. Available from: https://link.springer.com/articles/10.1186/s12889-022-13007-0
dc.relation.referencesPinilla AE, Barrera M del P, Sánchez AL, Mejía A. Factores de riesgo en diabetes mellitus y pie diabético: un enfoque hacia la prevención primaria. Revista Colombiana de Cardiología. 2013 Jul 1;20(4):213–22.
dc.relation.referencesYusuf S, Joseph P, Rangarajan S, Islam S, Mente A, Hystad P, et al. Modifiable risk factors, cardiovascular disease and mortality in 155,722 individuals from 21 high-, middle-, and low-income countries. Lancet [Internet]. 2020 Mar 3 [cited 2022 Jul 17];395(10226):795. Available from: /pmc/articles/PMC8006904/
dc.relation.referencesI O N A L E N C O L O M B I A 2 0 1 0. 2009 [cited 2022 Jul 17]; Available from: www.icbf.gov.co
dc.relation.referencesZhou B, Lu Y, Hajifathalian K, Bentham J, Di Cesare M, Danaei G, et al. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants. Lancet [Internet]. 2016 Apr 4 [cited 2023 Mar 24];387(10027):1513. Available from: /pmc/articles/PMC5081106/
dc.relation.referencesBernabe-Ortiz A, Perel P, Miranda JJ, Smeeth L. Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM in Peruvian population. Prim Care Diabetes. 2018 Dec 1;12(6):517–25.
dc.relation.referencesLim HM, Chia YC, Koay ZL. Performance of the Finnish Diabetes Risk Score (FINDRISC) and Modified Asian FINDRISC (ModAsian FINDRISC) for screening of undiagnosed type 2 diabetes mellitus and dysglycaemia in primary care. Prim Care Diabetes [Internet]. 2020 Oct 1 [cited 2023 Mar 24];14(5):494–500. Available from: http://www.primary-care-diabetes.com/article/S1751991818301864/fulltext
dc.relation.referencesHuang Y, Cai X, Mai W, Li M, Hu Y. Association between prediabetes and risk of cardiovascular disease and all cause mortality: systematic review and meta-analysis. [cited 2023 Mar 24]; Available from: http://dx.doi.org/10.1136/bmj.i5953
dc.relation.referencesHuang D, Refaat M, Mohammedi K, Jayyousi A, Al Suwaidi J, Abi Khalil C. Macrovascular Complications in Patients with Diabetes and Prediabetes. Biomed Res Int [Internet]. 2017 [cited 2023 Mar 24];2017. Available from: https://pubmed.ncbi.nlm.nih.gov/29238721/
dc.relation.referencesSutton EF, Beyl R, Early KS, Cefalu WT, Ravussin E, Peterson CM. Early Time-Restricted Feeding Improves Insulin Sensitivity, Blood Pressure, and Oxidative Stress Even without Weight Loss in Men with Prediabetes. Cell Metab. 2018 Jun 5;27(6):1212-1221.e3.
dc.relation.referencesParajuli S, Jasmin G, Sirak H, Lee AF, Nwosu BU, Succurro E, et al. Prediabetes: Adherence to Nutrition Visits Decreases HbA1c in Children and Adolescents. 2022 [cited 2023 Mar 24];13:1. Available from: www.frontiersin.org
dc.relation.referencesShu Y, Wu X, Wang J, Ma X, Li H, Xiang Y. Associations of Dietary Inflammatory Index With Prediabetes and Insulin Resistance. Front Endocrinol (Lausanne) [Internet]. 2022 Feb 17 [cited 2023 Mar 24];13. Available from: https://pubmed.ncbi.nlm.nih.gov/35250879/
dc.relation.referencesLópez-Jaramillo P, Calderón C, Castillo J, Escobar ID, Melgarejo E, Parra GA, et al. Prediabetes in Colombia: Expert Consensus. Colomb Med [Internet]. 2017 [cited 2023 May 3];48(4):191–203. Available from: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1657-95342017000400191&lng=en&nrm=iso&tlng=en
dc.relation.referencesMalik VS, Popkin BM, Bray GA, Després JP, Hu FB. Sugar-Sweetened Beverages, Obesity, Type 2 Diabetes Mellitus, and Cardiovascular Disease Risk. Circulation [Internet]. 2010 Mar 23 [cited 2023 May 3];121(11):1356–64. Available from: https://www.ahajournals.org/doi/abs/10.1161/CIRCULATIONAHA.109.876185
dc.relation.referencesSolanki DK, Walia R, Gautam A, Misra A, Aggarwal AK, Bhansali A. Prevalence of abdominal obesity in non-obese adolescents: a North Indian adolescent study. Journal of Pediatric Endocrinology and Metabolism [Internet]. 2020 Jul 1 [cited 2023 May 3];33(7):853–8. Available from: https://www.degruyter.com/document/doi/10.1515/jpem-2019-0026/html?lang=de
dc.relation.referencesShaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010 Jan 1;87(1):4–14.
dc.relation.referencesWang Q, Zhang X, Fang L, Guan Q, Gao L, Li Q. Physical Activity Patterns and Risk of Type 2 Diabetes and Metabolic Syndrome in Middle-Aged and Elderly Northern Chinese Adults. J Diabetes Res. 2018;2018.
dc.relation.referencesHuang Y, Cai X, Mai W, Li M, Hu Y. Association between prediabetes and risk of cardiovascular disease and all cause mortality: systematic review and meta-analysis. BMJ [Internet]. 2016 Nov 23 [cited 2023 May 3];355. Available from: https://www.bmj.com/content/355/bmj.i5953
dc.relation.referencesRomero-Polvo A, Denova-Gutiérrez E, Rivera-Paredez B, Castañón S, Gallegos-Carrillo K, Halley-Castillo E, et al. Association between Dietary Patterns and Insulin Resistance in Mexican Children and Adolescents. Ann Nutr Metab [Internet]. 2012 Oct 1 [cited 2023 May 3];61(2):142–50. Available from: https://karger.com/anm/article/61/2/142/40949/Association-between-Dietary-Patterns-and-Insulin
dc.relation.referencesObesity (Primer) - ProQuest [Internet]. [cited 2023 May 3]. Available from: https://www.proquest.com/openview/19175e8fc8449289ffde11d206cd3c1c/1?pq-origsite=gscholar&cbl=2069613
dc.relation.referencesAcosta T, Tuesca R, Florez K, Barengo NC, Anillo L, Flórez-García V, et al. Factors Associated With Low Physical Activity in Two Latin American Populations at Risk of Developing Type 2 Diabetes: An Exploratory Analysis. Front Public Health [Internet]. 2020 Jan 14 [cited 2023 May 3];8:589484. Available from: /pmc/articles/PMC7842278/
dc.relation.referencesWilmot EG, Davies MJ, Edwardson CL, Gorely T, Khunti K, Nimmo M, et al. Rationale and study design for a randomised controlled trial to reduce sedentary time in adults at risk of type 2 diabetes mellitus: Project stand (Sedentary Time and diabetes). BMC Public Health [Internet]. 2011 Dec 8 [cited 2023 May 3];11(1):1–8. Available from: https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-11-908
dc.relation.referencesENSIN: Encuesta Nacional de Situación Nutricional | Portal ICBF - Instituto Colombiano de Bienestar Familiar ICBF [Internet]. [cited 2023 May 3]. Available from: https://www.icbf.gov.co/bienestar/nutricion/encuesta-nacional-situacion-nutricional#ensin3
dc.relation.referencesMora Linares O, Pérez Rodríguez A, Sánchez Barrero R, Mora Linares OL, Puente Maury V. Morbilidad oculta de prediabetes y diabetes mellitus de tipo 2 en pacientes con sobrepeso y obesos. MEDISAN [Internet]. 2013 [cited 2023 May 3];17(10):6095–7001. Available from: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1029-30192013001000011&lng=es&nrm=iso&tlng=es
dc.relation.referencesColling C, Atlas SJ, Wexler DJ. Application of 2021 American Diabetes Association Glycemic Treatment Clinical Practice Recommendations in Primary Care. Diabetes Care [Internet]. 2021 Jun 1 [cited 2023 May 3];44(6):1443–6. Available from: https://diabetesjournals.org/care/article/44/6/1443/138725/Application-of-2021-American-Diabetes-Association
dc.relation.referencesUse of Glycated Haemoglobin (HbA1c) in the Diagnosis of Diabetes Mellitus Abbreviated Report of a WHO Consultation. 2011;
dc.relation.referencesTabák AG, Herder C, Rathmann W, Brunner EJ, Kivimäki M. Prediabetes: a high-risk state for diabetes development. The Lancet. 2012 Jun 16;379(9833):2279–90.
dc.relation.referencesSelvin E, Parrinello CM, Sacks DB, Coresh J. Trends in prevalence and control of diabetes in the United States, 1988-1994 and 1999-2010. Ann Intern Med. 2014 Apr 15;160(8):517–25.
dc.relation.referencesDiabetes D, Revention P, Rogram P, Esearch R, Roup G. Reduction in the Incidence of Type 2 Diabetes with Lifestyle Intervention or Metformin. https://doi.org/101056/NEJMoa012512 [Internet]. 2002 Feb 7 [cited 2023 May 3];346(6):393–403. Available from: https://www.nejm.org/doi/full/10.1056/NEJMoa012512
dc.relation.referencesEspeland M. Look AHEAD (Action for Health in Diabetes): design and methods for a clinical trial of weight loss for the prevention of cardiovascular disease in type 2 diabetes. Control Clin Trials. 2003 Oct 1;24(5):610–28.
dc.relation.referencesColberg SR, Sigal RJ, Fernhall B, Regensteiner JG, Blissmer BJ, Rubin RR, et al. Exercise and Type 2 DiabetesThe American College of Sports Medicine and the American Diabetes Association: joint position statement. Diabetes Care [Internet]. 2010 Dec 1 [cited 2023 May 3];33(12):e147–67. Available from: https://diabetesjournals.org/care/article/33/12/e147/39268/Exercise-and-Type-2-DiabetesThe-American-College
dc.relation.referencesMozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB. Changes in Diet and Lifestyle and Long-Term Weight Gain in Women and Men. New England Journal of Medicine [Internet]. 2011 Jun 23 [cited 2023 May 3];364(25):2392–404. Available from: https://www.nejm.org/doi/full/10.1056/nejmoa1014296
dc.relation.referencesKatula JA, Vitolins MZ, Rosenberger EL, Blackwell CS, Morgan TM, Lawlor MS, et al. One-Year Results of a Community-Based Translation of the Diabetes Prevention ProgramHealthy-Living Partnerships to Prevent Diabetes (HELP PD) Project. Diabetes Care [Internet]. 2011 Jul 1 [cited 2023 May 3];34(7):1451–7. Available from: https://diabetesjournals.org/care/article/34/7/1451/38619/One-Year-Results-of-a-Community-Based-Translation
dc.relation.referencesOrganization WH. Global report on diabetes: executive summary. 2016 [cited 2023 May 3]; Available from: https://apps.who.int/iris/handle/10665/204874
dc.relation.referencesBoltri JM, Tracer H, Strogatz D, Idzik S, Schumacher P, Fukagawa N, et al. The National Clinical Care Commission Report to Congress: Leveraging Federal Policies and Programs to Prevent Diabetes in People With Prediabetes. Diabetes Care [Internet]. 2023 Feb 1 [cited 2023 May 3];46(2):e39–50. Available from: https://diabetesjournals.org/care/article/46/2/e39/148317/The-National-Clinical-Care-Commission-Report-to
dc.relation.referencesLi R, Zhang P, Barker LE, Chowdhury FM, Zhang X. Cost-Effectiveness of Interventions to Prevent and Control Diabetes Mellitus: A Systematic Review. Diabetes Care [Internet]. 2010 Aug 1 [cited 2023 May 3];33(8):1872–94. Available from: https://diabetesjournals.org/care/article/33/8/1872/39197/Cost-Effectiveness-of-Interventions-to-Prevent-and
dc.relation.referencesSkoglund G, Nilsson BB, Olsen CF, Bergland A, Hilde G. Facilitators and barriers for lifestyle change in people with prediabetes: a meta-synthesis of qualitative studies. BMC Public Health [Internet]. 2022 Dec 1 [cited 2023 May 3];22(1):1–27. Available from: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-022-12885-8
dc.relation.referencesGalaviz KI, Narayan KMV, Lobelo F, Weber MB. Lifestyle and the Prevention of Type 2 Diabetes: A Status Report. Am J Lifestyle Med [Internet]. 2018 Jan 1 [cited 2023 May 3];12(1):4. Available from: /pmc/articles/PMC6125024/
dc.relation.referencesOrganization PAH. Plan of Action for the Prevention and Control of Noncommunicable Diseases in the Americas 2013-2019. 2014 [cited 2023 May 3]; Available from: https://iris.paho.org/handle/10665.2/35009
dc.relation.referencesIDF Diabetes Atlas [Internet]. [cited 2023 May 3]. Available from: https://www.idf.org/e-library/epidemiology-research/diabetes-atlas/159-idf-diabetes-atlas-ninth-edition-2019.html
dc.relation.referencesEvert AB, Dennison M, Gardner CD, Timothy Garvey W, Karen Lau KH, MacLeod J, et al. Nutrition therapy for adults with diabetes or prediabetes: A consensus report. Diabetes Care [Internet]. 2019 [cited 2023 May 3];42(5):731–54. Available from: /pmc/articles/PMC7011201/
dc.relation.referencesMartín Folgueras T, Velasco Gimeno C, Salcedo Crespo S, Segurola Gurrutxaga H, Benítez Brito N, Ballesteros Pomar MD, et al. Proceso de alimentación hospitalaria. Nutr Hosp. 2019;
dc.relation.referencesAlessi CA, Yoon E, Schnelle JF, Al-Samanai NR, Cruise PA. A Randomized Trial of a Combined Physical Activity and Environmental Intervention in Nursing Home Residents: Do Sleep and Agitation Improve? J Am Geriatr Soc [Internet]. 1999 Jul 1 [cited 2023 May 3];47(7):784–91. Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/j.1532-5415.1999.tb03833.x
dc.relation.referencesZhuo X, Zhang P, Gregg EW, Barker L, Hoerger TJ, Pearson-Clarke T, et al. A nationwide community-based lifestyle program could delay or prevent type 2 diabetes cases and save $5.7 billion in 25 years. Health Aff (Millwood) [Internet]. 2012 Jan [cited 2023 May 3];31(1):50–60. Available from: https://pubmed.ncbi.nlm.nih.gov/22232094/
dc.rightsDerechos Reservados - Universidad de Santander, 2024. Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.proposalPrediabetesspa
dc.subject.proposalFindriscspa
dc.subject.proposalColombiaspa
dc.subject.proposalFactoresspa
dc.subject.proposalPrediabeteseng
dc.subject.proposalFINDRISCeng
dc.subject.proposalColombiaeng
dc.subject.proposalFactorseng
dc.titlePrevalencia de Prediabetes Factores de Riesgos y Comorbilidades en la Población Adulta Joven del Centro de Salud del Mutisspa
dc.title.translatedPrevalence of Prediabetes, Risk Factors and Comorbidities in the Young Adult Population of the Mutis Health Center
dc.typeTrabajo de grado - Especialización
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_71e4c1898caa6e32
dc.type.contentText
dc.type.driverinfo:eu-repo/semantics/bachelorThesis
dc.type.redcolhttp://purl.org/redcol/resource_type/TP
dc.type.versioninfo:eu-repo/semantics/submittedVersion
dcterms.audienceTodas las Audienciasspa
dspace.entity.typePublication
Archivos
Paquete original
Mostrando 1 - 4 de 4
No hay miniatura disponible
Nombre:
Prevalencia_de_Prediabetes_Factores_de_Riesgos_y_Comorbilidades_en_la_Población_Adulta_Joven_del_Centro_de_Salud_del_Mutis.docx
Tamaño:
1.27 MB
Formato:
Microsoft Word XML
Descripción:
Descargar
Imagen en miniatura
Nombre:
Prevalencia_de_Prediabetes_Factores_de_Riesgos_y_Comorbilidades_en_la_Población_Adulta_Joven_del_Centro_de_Salud_del_Mutis.pdf
Tamaño:
1.14 MB
Formato:
Adobe Portable Document Format
Descripción:
Descargar
No hay miniatura disponible
Nombre:
Certificado_de_Similitud_de_Texto.pdf
Tamaño:
1.19 MB
Formato:
Adobe Portable Document Format
Descripción:
Descargar
Imagen en miniatura
Nombre:
Label.jpg
Tamaño:
386.93 KB
Formato:
Joint Photographic Experts Group/JPEG File Interchange Format (JFIF)
Descripción:
Descargar
Paquete de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
15.18 KB
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar
Colecciones
ECA. AutoArchivo - Campus Bucaramanga