Circadian Rhythm Alteration and Metabolic Syndrome

Abstract

There is growing scientific evidence that connects circadian rhythm abnormalities with cardiovascular risk factors. Due to their work schedules, shift workers are exposed to changes in their circadian rhythm that are associated with metabolic syndrome (MS). Aim: To determine the relationship between shift work and metabolic syndrome. Methodology: This is a cross-sectional observational study. The sample included 300 adult volunteers, health workers of a public hospital in the city of Riobamba, Ecuador. The diagnosis of MS was made based on the criteria bythe Adult Treatment Panel III (ATP III). In addition, sleep quality was assessed through the Pittsburg sleep quality index. Cluster analysis of K-means was used to identify representative groups. In addition, chi-squared test and ANOVA were used to determine the association between variables. Results: Three conglomerates based on age and sex were established, which were numbered consecutively 1, 2 and 3. Conglomerate 1 had a statistically higher percentage of people who worked in shifts, suffered MS and had worse sleep quality than the other two conglomerates. In conclusión, shift work is related to the risk of suffering from MS and poor quality of sleep.


Keywords: shift work, metabolic syndrome, sleep quality, k medias clusters.


Resumen


Introducción: La evidencia creciente conecta las alteraciones del ritmo circadiano con factores de riesgo cardiovascular. Los trabajadores por turnos debido a sus horarios de trabajo están expuestos a alteraciones de su ritmo circadiano que se asocian a síndrome metabólico (SM). Objetivo: Determinar la relación entre trabajo por turnos y síndrome metabólico. Metodología: Estudio observacional transversal. La muestra incluyó 300 voluntarios adultos, empleados sanitarios de un hospital público de la ciudad de Riobamba, Ecuador. El diagnóstico de SM se realizó con base en los criterios del Adult Treatment Panel III (ATP III). Además, se evaluó la calidad del sueño a través del índice de la calidad de sueño de Pittsburg. Se utilizó el análisis de clúster de K medias para identificar grupos representativos, además Chi2 y ANOVA para determinar asociación entre las variables. Resultados: Se establecieron tres clusters basados en edad y sexo, los que fueron numerados de forma consecutiva 1, 2 y 3. El cluster 1 tuvo un porcentaje estadísticamente más alto de personas que trabajaban por turnos, sufrían SM y que presentaron peor calidad de sueño que los otros dos clusters. Conclusiones: El trabajo por turnos se relaciona con el riesgo de sufrir SM y mala calidad de sueño.


Palabras clave: trabajo por turnos, síndrome metabólico, calidad del sueño, análisis de k medias.

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