Prevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, Venezuela
Introducción: El síndrome metabólico (SM) se define como un conjunto de factores de riesgo que aumentan la probabilidad del desarrollo de Diabetes Mellitus y enfermedades cardiovasculares. Sin embargo, en nuestra localidad no se ha estudiado el comportamiento de las combinatorias de criterios del SM...
- Autores:
-
Mata, Katy R.
Bermúdez, Valmore
Villalobos, Edimar
Guerrero, Ybrain
Añez, Roberto J.
Rojas, Joselyn
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- spa
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/1843
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/1843
- Palabra clave:
- Síndrome Metabólico
Criterios diagnósticos
Resistencia a la insulina
Factores de riesgo
Enfermedad cardiovascular
Metabolic syndrome
Diagnostic criteria
Insulin resistance
Risk factors
Cardiovascular disease
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional
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Prevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, Venezuela |
| dc.title.alternative.eng.fl_str_mv |
Prevalence of combinations of metabolic syndrome components in the municipality of San Cristóbal, Táchira, Venezuela |
| title |
Prevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, Venezuela |
| spellingShingle |
Prevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, Venezuela Síndrome Metabólico Criterios diagnósticos Resistencia a la insulina Factores de riesgo Enfermedad cardiovascular Metabolic syndrome Diagnostic criteria Insulin resistance Risk factors Cardiovascular disease |
| title_short |
Prevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, Venezuela |
| title_full |
Prevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, Venezuela |
| title_fullStr |
Prevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, Venezuela |
| title_full_unstemmed |
Prevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, Venezuela |
| title_sort |
Prevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, Venezuela |
| dc.creator.fl_str_mv |
Mata, Katy R. Bermúdez, Valmore Villalobos, Edimar Guerrero, Ybrain Añez, Roberto J. Rojas, Joselyn |
| dc.contributor.author.none.fl_str_mv |
Mata, Katy R. Bermúdez, Valmore Villalobos, Edimar Guerrero, Ybrain Añez, Roberto J. Rojas, Joselyn |
| dc.subject.spa.fl_str_mv |
Síndrome Metabólico Criterios diagnósticos Resistencia a la insulina Factores de riesgo Enfermedad cardiovascular |
| topic |
Síndrome Metabólico Criterios diagnósticos Resistencia a la insulina Factores de riesgo Enfermedad cardiovascular Metabolic syndrome Diagnostic criteria Insulin resistance Risk factors Cardiovascular disease |
| dc.subject.eng.fl_str_mv |
Metabolic syndrome Diagnostic criteria Insulin resistance Risk factors Cardiovascular disease |
| description |
Introducción: El síndrome metabólico (SM) se define como un conjunto de factores de riesgo que aumentan la probabilidad del desarrollo de Diabetes Mellitus y enfermedades cardiovasculares. Sin embargo, en nuestra localidad no se ha estudiado el comportamiento de las combinatorias de criterios del SM, por lo que el objetivo de este estudio fue determinar la prevalencia de las combinaciones de componentes del SM en el municipio San Cristóbal, Venezuela. Materiales y Métodos: Se realizó un estudio transversal, con muestreo aleatorio y multietápico en 362 individuos de ambos sexos, a quienes se les determinaron los componentes del SM según IDF/AHA/NHLBI/WHF/IAS/IASO (2009). La presencia de insulinorresistencia (IR) fue evaluada mediante el HOMA2-IR. Resultados: La prevalencia de SM fue de 51,4% (n=186) para la población general. La combinatoria de SM más frecuente fue la que incluyó a todos los criterios con un 16,1% (n=30); seguido de la presencia de las combinatorias CPHT (C: obesidad abdominal, P: presión arterial elevada ó HTA, H: HDL-C bajas y T: TAG elevados) con un 12,4% (n=23). La combinatoria CPGT fue la que presentó mayor frecuencia de IR con un 60,0% seguido por CPHT que presentó 43,48% de IR y seguido de Todos los criterios con una prevalencia de IR similar de 43,33%. Conclusiones: El SM presentó una alta prevalencia en nuestra población. Las combinatorias más frecuentes fueron las que presentaron el criterio de circunferencia abdominal elevada, mientras que las menos frecuentes carecieron de éste. De manera similar las combinaciones con obesidad abdominal fueron las que mostraron una mayor insulinorresistencia. |
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2017 |
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2017 |
| dc.date.accessioned.none.fl_str_mv |
2018-03-09T21:58:04Z |
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2018-03-09T21:58:04Z |
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article |
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http://purl.org/coar/resource_type/c_6501 |
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18564550 |
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http://hdl.handle.net/20.500.12442/1843 |
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18564550 |
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http://hdl.handle.net/20.500.12442/1843 |
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spa |
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spa |
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http://purl.org/coar/access_right/c_abf2 |
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Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional |
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Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
| dc.publisher.spa.fl_str_mv |
Cooperativa servicios y suministros 212518 RS |
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Revista Latinoamericana de Hipertensión Vol. 12, No.4 (2017) |
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Universidad Simón Bolívar |
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https://www.redalyc.org/articulo.oa?id=170253258003 |
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Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Mata, Katy R.7d91f318-6703-4073-8df2-0c81cb23d07e-1Bermúdez, Valmore29f9aa18-16a4-4fd3-8ce5-ed94a0b8663a-1Villalobos, Edimar413f23f3-8346-48ab-ba07-5d28d7dbec58-1Guerrero, Ybrain3ad7d46d-aa99-4411-8232-5e07a6831b8e-1Añez, Roberto J.a0889cd6-db0e-409f-8ab0-9ad32833b9ae-1Rojas, Joselyn2aa91570-0516-424d-8f76-25cd7b39be6e-12018-03-09T21:58:04Z2018-03-09T21:58:04Z201718564550http://hdl.handle.net/20.500.12442/1843Introducción: El síndrome metabólico (SM) se define como un conjunto de factores de riesgo que aumentan la probabilidad del desarrollo de Diabetes Mellitus y enfermedades cardiovasculares. Sin embargo, en nuestra localidad no se ha estudiado el comportamiento de las combinatorias de criterios del SM, por lo que el objetivo de este estudio fue determinar la prevalencia de las combinaciones de componentes del SM en el municipio San Cristóbal, Venezuela. Materiales y Métodos: Se realizó un estudio transversal, con muestreo aleatorio y multietápico en 362 individuos de ambos sexos, a quienes se les determinaron los componentes del SM según IDF/AHA/NHLBI/WHF/IAS/IASO (2009). La presencia de insulinorresistencia (IR) fue evaluada mediante el HOMA2-IR. Resultados: La prevalencia de SM fue de 51,4% (n=186) para la población general. La combinatoria de SM más frecuente fue la que incluyó a todos los criterios con un 16,1% (n=30); seguido de la presencia de las combinatorias CPHT (C: obesidad abdominal, P: presión arterial elevada ó HTA, H: HDL-C bajas y T: TAG elevados) con un 12,4% (n=23). La combinatoria CPGT fue la que presentó mayor frecuencia de IR con un 60,0% seguido por CPHT que presentó 43,48% de IR y seguido de Todos los criterios con una prevalencia de IR similar de 43,33%. Conclusiones: El SM presentó una alta prevalencia en nuestra población. Las combinatorias más frecuentes fueron las que presentaron el criterio de circunferencia abdominal elevada, mientras que las menos frecuentes carecieron de éste. De manera similar las combinaciones con obesidad abdominal fueron las que mostraron una mayor insulinorresistencia.Introduction: Metabolic syndrome (MS) is defined as a set of risk factors that increase the likelihood of developing type 2 diabetes mellitus (T2DM) and cardiovascular disease. However, in our town not studied the behavior of combinatorial criteria for MS, so the aim of this study was to determine the prevalence of combinations of components of MS in the municipality of San Cristobal, Venezuela. Materials and methods: This was a cross-sectional study with a multistage and randomized sampling on 362 individuals of both sexes, who were identified as components MS by IDF/AHA/NHLBI/WHF/IAS/IASO (2009) criteria’s. The presence of insulin resistance (IR) was assessed by HOMA2-IR. Results: The prevalence of MS was 51,4% (n=186) for the general population. The most frequent MS cluster was that included all the criteria 16,1% (n=30); followed by the presence of AO-HBP-LowH-ET (AO: abdominal obesity, HBP: High blood pressure or hypertension, Low-H: low HDL-C and ET: Elevated TAG) combinatorial 12,4% (n=23). The combinatorial AO-HBP-HG-ET (AO: abdominal obesity, HBP: High blood pressure or hypertension, HG: Hyperglycemia or T2DM: Elevated TAG) was the one with higher frequency of IR with 60,0% followed by AOHBP- LowH-ET presented 43,48% of IR and followed by all criteria with a prevalence similar IR of 43.33%. Conclusions: The MS showed a high prevalence in our population. Combinatorial frequently were the criteria presented elevated waist circumference, while less frequent lacked it. Similarly combinations with abdominal obesity were those that showed increased insulin resistance.spaCooperativa servicios y suministros 212518 RSRevista Latinoamericana de HipertensiónVol. 12, No.4 (2017)https://www.redalyc.org/articulo.oa?id=170253258003Síndrome MetabólicoCriterios diagnósticosResistencia a la insulinaFactores de riesgoEnfermedad cardiovascularMetabolic syndromeDiagnostic criteriaInsulin resistanceRisk factorsCardiovascular diseasePrevalencia de las combinaciones de componentes del síndrome metabólico en el municipio San Cristóbal, Táchira, VenezuelaPrevalence of combinations of metabolic syndrome components in the municipality of San Cristóbal, Táchira, Venezuelaarticlehttp://purl.org/coar/resource_type/c_6501Cornier MA, Dabelea D, Hernandez TL, et al. The metabolic syndrome. Endocr Rev. 2008; 29(7):777-822.Reaven GM. Banting lecture 1988. Role of insulin resistance in human disease. Diabetes. 1988; 37:1595–607.Souza MR, Diniz Mde F, Medeiros-Filho JE, Araújo MS. 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Síndrome Cardiometabólico 2013; 3 (3): 113-125.LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bonga.unisimon.edu.co/bitstreams/6b9cb007-4fa9-4bc0-ad9f-e60af489eb26/download8a4605be74aa9ea9d79846c1fba20a33MD5220.500.12442/1843oai:bonga.unisimon.edu.co:20.500.12442/18432019-04-11 21:51:42.281metadata.onlyhttps://bonga.unisimon.edu.coDSpace UniSimonbibliotecas@biteca.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 |