Search

Introduction: Due to high demand and different work schedules, teachers can develop metabolic and sleep disorders. Objective: The aim of this study, therefore, was to verify the quality of sleep and the metabolic changes of public school teachers during an academic semester. Methodology: Longitudinal study, data collection performed during an academic semester, in a public high school in a capital of northeastern Brazil ( lifestyle and disease history, sleep quality - Pittsburgh Sleep Quality Index, blood pressure and anthropometric measurements). Blood samples were collected to determine serum glucose and the lipid profile. All variables were collected at the beginning (Step 1) and at the end (Step 2) of the academic semester with the same teachers. Data analysis was performed using SPSS software version 25.0. Results: The sample consisted of 27 teachers with an average age of 44,7 years. The concentration of fasting blood glucose (92,30 vs 108.85) and total cholesterol (161.00 vs 173.59), were significant (p<0.025 and p<0.001, respectively) when comparing the blood samples at the beginning and end of the school semester. The poor sleep quality and daytime dysfunction showed changes between the values found between the stages of the study, resulting in significant values (p<0.001). Sleep efficiency percentage showed an improvement in the second stage (p<0.004). Conclusion: Through an analysis of the results, it was found that the lipid profile, serum glucose and some sleep variables changed during the academic semester, thus showing the need for care with this category of workers.

Introduction: Due to high demand and different work schedules, teachers can develop metabolic and sleep disorders. Objective: The aim of this study, therefore, was to verify the quality of sleep and the metabolic changes of public school teachers during an academic semester. Methodology: Longitudinal study, data collection performed during an academic semester, in a public high school in a capital of northeastern Brazil ( lifestyle and disease history, sleep quality - Pittsburgh Sleep Quality Index, blood pressure and anthropometric measurements). Blood samples were collected to determine serum glucose and the lipid profile. All variables were collected at the beginning (Step 1) and at the end (Step 2) of the academic semester with the same teachers. Data analysis was performed using SPSS software version 25.0. Results: The sample consisted of 27 teachers with an average age of 44,7 years. The concentration of fasting blood glucose (92,30 vs 108.85) and total cholesterol (161.00 vs 173.59), were significant (p<0.025 and p<0.001, respectively) when comparing the blood samples at the beginning and end of the school semester. The poor sleep quality and daytime dysfunction showed changes between the values found between the stages of the study, resulting in significant values (p<0.001). Sleep efficiency percentage showed an improvement in the second stage (p<0.004). Conclusion: Through an analysis of the results, it was found that the lipid profile, serum glucose and some sleep variables changed during the academic semester, thus showing the need for care with this category of workers.

Introduction: Due to high demand and different work schedules, teachers can develop metabolic and sleep disorders. Objective: The aim of this study, therefore, was to verify the quality of sleep and the metabolic changes of public school teachers during an academic semester. Methodology: Longitudinal study, data collection performed during an academic semester, in a public high school in a capital of northeastern Brazil ( lifestyle and disease history, sleep quality - Pittsburgh Sleep Quality Index, blood pressure and anthropometric measurements). Blood samples were collected to determine serum glucose and the lipid profile. All variables were collected at the beginning (Step 1) and at the end (Step 2) of the academic semester with the same teachers. Data analysis was performed using SPSS software version 25.0. Results: The sample consisted of 27 teachers with an average age of 44,7 years. The concentration of fasting blood glucose (92,30 vs 108.85) and total cholesterol (161.00 vs 173.59), were significant (p<0.025 and p<0.001, respectively) when comparing the blood samples at the beginning and end of the school semester. The poor sleep quality and daytime dysfunction showed changes between the values found between the stages of the study, resulting in significant values (p<0.001). Sleep efficiency percentage showed an improvement in the second stage (p<0.004). Conclusion: Through an analysis of the results, it was found that the lipid profile, serum glucose and some sleep variables changed during the academic semester, thus showing the need for care with this category of workers.