Karina Peña-Prado1, Jorge Rey de Castro2,3, Armando Talaverano-Ojeda4. 1. Unidad de Medicina Ocupacional y Medio Ambiente, Universidad Peruana Cayetano Heredia. Lima, Perú. 2. Universidad Peruana Cayetano Heredia. Lima, Perú. 3. Laboratorio del Sueño, Clínica Anglo Americana. Lima, Perú. 4. Unidad de Medicina Ocupacional y Medio Ambiente. Universidad Peruana Cayetano Heredia. Lima, Perú.
Abstract
OBJECTIVE: . To determine the frequency of sleepiness and its associated factors in public transportation drivers in Lima metropolitan area. MATERIALS AND METHODS: . Transversal analytical study carried out on drivers between 18 and 65 years old who work in a public transportation company registered in the Municipality of Lima. Sleepiness was assessed using a version of the Epworth Sleepiness Scale validated in Peru. The variables that could behave as associated factors were obtained by a data collection sheet. Logistic regression was used to estimate the magnitude of the association between sleepiness and variables considered as associated factors. RESULTS: . Four hundred forty (440) drivers were included, median age was 38.0 years and the majority (99.3%) were males. From the total number of drivers, 17.7% (78) experienced daytime sleepiness. A significant association was found between sleepiness and the 2 x 1 rotation system (p=0.038), and between sleepiness and hours of sleep under seven (p=0.011). Logistic regression analysis showed that drivers with six or fewer hours of sleep were more likely to have daytime sleepiness (OR 1.83, 95% CI: 1.03-3.25). CONCLUSIONS: . Approximately one out of five drivers experienced daytime sleepiness, which was associated with having six or fewer hours of sleep per day.
OBJECTIVE: . To determine the frequency of sleepiness and its associated factors in public transportation drivers in Lima metropolitan area. MATERIALS AND METHODS: . Transversal analytical study carried out on drivers between 18 and 65 years old who work in a public transportation company registered in the Municipality of Lima. Sleepiness was assessed using a version of the Epworth Sleepiness Scale validated in Peru. The variables that could behave as associated factors were obtained by a data collection sheet. Logistic regression was used to estimate the magnitude of the association between sleepiness and variables considered as associated factors. RESULTS: . Four hundred forty (440) drivers were included, median age was 38.0 years and the majority (99.3%) were males. From the total number of drivers, 17.7% (78) experienced daytime sleepiness. A significant association was found between sleepiness and the 2 x 1 rotation system (p=0.038), and between sleepiness and hours of sleep under seven (p=0.011). Logistic regression analysis showed that drivers with six or fewer hours of sleep were more likely to have daytime sleepiness (OR 1.83, 95% CI: 1.03-3.25). CONCLUSIONS: . Approximately one out of five drivers experienced daytime sleepiness, which was associated with having six or fewer hours of sleep per day.