Factores de riesgo cardiovascular en comunidades urbana y rural: Tinaquillo, Venezuela

Querales-Carrasquel, Marvin I.; Rojas-Pacheco, Susan A.; Silva, Elizabeth; Ochoa, José; Santiago, Katherine; Adames, José; Sánchez, G Franco; Pérez, Francisco Javier Gómez

doi:10.15446/rsap.v19n2.41332

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…Given the increased CVD morbidity in the rural population, this suggests that these variables used to calculate CVD risk are inadequate in this population sample ( Figure 2 ). This finding is consistent with previous rural versus urban studies done in neighboring Venezuela [ 29 ]. This coupled with the increased burden of disease in the rural population further supports the inadequacy of risk calculators in rural populations in countries like Colombia.…”

Section: Discussionsupporting

confidence: 93%

Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation

Forero

Ferrera

Castaño

et al. 2021

Annals of Global Health

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Section: Discussionsupporting

confidence: 93%

Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation

Forero

Ferrera

Castaño

et al. 2021

Annals of Global Health

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“…Our study showed that the highest proportion of individuals overweight belong to the urban population. These results coincide with an investigation carried out in Peru where 47.4% and 19.1% of the participants were overweight and obese respectively [ 39 ]; in Mexico, there is a record of 45% obesity in rural areas and 48% in urban areas [ 36 ], and in Venezuela it was evidenced that 60% of both populations are obese and overweight [ 40 ]. This variable is highly influenced by the lifestyle and customs of the two populations.…”

Section: Discussionsupporting

confidence: 88%

Predictors of diabetes risk in urban and rural areas in Colombia

Tuesca-Molina

García

Vergara

et al. 2022

Heliyon

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Background: Nutritional habits low in fruits and vegetables and sedentary lifestyle are associated with a higher risk of developing Type 2 Diabetes (T2D). However, it is important to assess differences between urban and rural areas. This study aimed to analyze the associations between the risk of developing T2D and setting in the Colombian north coast in 2017. Methods: This cross-sectional study included 1,005 subjects. Data was collected by interviewing self-identified members of an urban community and a rural-indigenous population. The interaction terms were evaluated as well as the confounders. Then, adjusted binary logistic regressions were used to estimate the odds ratio (OR) and 95% Confidence Intervals (CI). Results: subjects with a high risk of T2D are more likely to belong to the urban setting (OR ¼ 1.908; 95%CI ¼ 1.201-2.01) compared with those with lower T2D after adjusting for age, Body Mass Index (BMI), physical activity, history of high levels of glycemia, and diabetes in relatives. Conclusions: Urban communities are more likely to have T2D compared with rural-indigenous populations. These populations have differences from the cultural context, including personal, and lifestyle factors.

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“…Respecto a las variables que intervienen en esta problemática, Nuñez-Rocha y cols., 11 identificaron como factor de riesgo cardiovascular más frecuente, el sobrepeso y obesidad en 60% de los casos, valor similar al de otras investigaciones en las que incrementos en el imc son condicionantes de riesgo cardiovascular. 19,23 Esto coincide con lo encontrado en esta investigación. Por ello, las aproximaciones desde el primer nivel de atención, deben estar encaminadas a regular el imc con el fin de evitar complicaciones secundarias que pongan en riesgo la vida de los pacientes.…”

Section: Discussionunclassified

Estimación del riesgo cardiovascular con herramienta Globorisk en una Unidad de Medicina Familiar

García-Jiménez,

Soto-Ávila,

Palacios-Tapia

et al. 2023

Atención Familiar

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Objetivo: estimar el riesgo cardiovascular con la herramienta Globorisk en usuarios de una unidad de medicina familiar. Método: estudio transversal analítico realizado de agosto a diciembre de 2021 mediante muestreo no probabilístico. La muestra estuvo conformada por 750 personas de 40 a 60 años. Se utilizó Globorisk para estimar riesgo cardiovascular. Se utilizó el Cuestionario Internacional de Actividad Física (ipaq), se midió tensión arterial, peso, talla e índice de masa corporal. Se recolectó cifra de triglicéridos, colesterol y glucosa. Se estimó la magnitud del efecto de asociación con Odds Ratio y significancia estadística mediante χ2 de Mantel-Haenszel, con un intervalo de confianza de 95%. Resultados: El riesgo cardiovascular alto a muy alto fue de 27.8% (209/750). 76.3% de participantes presentaron sobrepeso-obesidad (572/750). Entre los factores asociados a presentar riesgo cardiovascular alto a muy alto se encontró: Ser hombre (or 15.8; ic 95% 7.8-32.1), tener educación básica (or 2.9; ic 95% 1.6-5.3), una ocupación sin remuneración (or 3.2; ic 95% 2.0-5.3), vivir sin pareja en hogar (or 2.6; ic 95% 1.6-4.3), padecer diabetes (or 10.8; ic 95% 5.2-22.4), tener una cifra de colesterol mayor a 200 mg/dL (or 2.7; ic 95%1.7-4.5) y realizar actividad física leve (or 2.3; ic 95% 1.4-3.9). Conclusión: tres de cada diez personas analizadas presentaron riesgo cardiovascular alto a muy alto, los factores asociados se relacionaron con el sexo, educación, ocupación y otras variables metabólicas.

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Factores de riesgo cardiovascular en comunidades urbana y rural: Tinaquillo, Venezuela

Cited by 5 publications

References 18 publications

Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation

Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation

Predictors of diabetes risk in urban and rural areas in Colombia

Estimación del riesgo cardiovascular con herramienta Globorisk en una Unidad de Medicina Familiar

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