Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela [version 3; referees: 2 approved]

Background: A growing body of evidence suggests that cigarette smoking can cause the onset of metabolic syndrome prior to cardiovascular diseases. Therefore, the objective of this study was to evaluate the relationship between smoking habit and metabolic syndrome components in an adult population from Maracaibo city, Venezuela. Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with random and multi-stage sampling. In this sub-study, 2212 adults from both genders were selected. On the basis of their medical background, they were classified as smokers, non-smokers and former smokers. Metabolic syndrome was defined according to Harmonizing 2009 criteria, using population-specific abdominal circumference cut-off points. The association between risk factors was evaluated using a logistic regression model. Results: In the studied population, 14.8% were smokers, 15.4% were former smokers. In the multivariate analysis, the presence of metabolic syndrome (smokers: OR, 1.54; 95% CI, 1.11–2.14; p=0.010) and its components were related to cigarette smoking, with the exception of hyperglycemia. High blood pressure was inversely associated with current smoking status (smokers: OR, 0.70 (0.51–0.95); p=0.025). Conclusion: Cigarette smoking represents a related factor with metabolic syndrome, being associated with low high-density lipoprotein-cholesterol, increased abdominal circumference and elevated triacylglyceride levels. Former smokers did not present a greater risk for developing this metabolic disease when compared to non-smokers. The effect of avoiding this habit should be evaluated in future studies in our population

El aprendizaje organizacional en las empresas sociales del Estado, adscritas a la Secretaría de Salud de Bogotá D.C.

Esta ponencia presenta un estudio descriptivo, que busca determinar la incidencia del aprendizaje organizacional en los comités de infecciones intra-hospitalarias de las 22 empresas sociales del Estado adscritas a la Secretaría de Salud de Bogotá D.C. Se obtuvieron 119 encuestas, de las cuales cuatro se eliminaron en el proceso de depuración, por tener menos del 80% de la totalidad de ítems contestados; tres de éstas correspondían a una misma entidad, por esto, el proceso de análisis se basó en 115 encuestas de 14 organizaciones y la institución prestadora de servicios Carlos Lleras Camargo. La escala de medición es tipo Likert. Se tomó como referencia el ratificar con la moda de las distribuciones de frecuencia, para así determinar la dirección o tendencia de las respuestas en los ítems, y se estableció la correlación entre dichos puntajes. Esta correlación permite mostrar la pertinencia de la dimensión como variable de análisis, en el contexto del aprendizaje organizacional. Se utilizó el procedimiento de análisis de varianza –ANOVA– a una vía, donde se tomó como variable dependiente el puntaje de la dimensión y como factor los hospitales. Los procedimientos estadísticos se realizaron utilizando el paquete estadístico SPSS

Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela [version 1; referees: 1 approved with reservations]

Background: A growing body of evidence suggests that cigarette smoking can cause the onset of metabolic syndrome prior to cardiovascular diseases. Therefore, the objective of this study was to evaluate the relationship between smoking habit and metabolic syndrome components in an adult population from Maracaibo city, Venezuela. Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with random and multi-stage sampling. In this sub-study, 2212 adults from both genders were selected. On the basis of their medical background, they were classified as smokers, non-smokers and former smokers. Metabolic syndrome was defined according to Harmonizing 2009 criteria, using population-specific abdominal circumference cut-off points. The association between risk factors was evaluated using a logistic regression model. Results: In the studied population, 14.8% were smokers, 15.4% were former smokers. In the multivariate analysis, the presence of metabolic syndrome (smokers: OR, 1.54; 95% CI, 1.11–2.14; p=0.010) and its components were related to cigarette smoking, with the exception of hyperglycemia. High blood pressure was inversely associated with current smoking status (smokers: OR, 0.70 (0.51–0.95); p=0.025)