Date of Presentation
5-2-2024 12:00 AM
College
Rowan-Virtua School of Osteopathic Medicine
Poster Abstract
Sleep is an essential biological process needed to maintain adequate physiologic function. Research has provided growing evidence that chronic failure to get enough sleep is associated with increased risk for obesity, depression, diabetes, hypertension, stroke, cardiovascular disease, and mortality. Sleep deprivation is threatening the health of up to 45% of the world's population. Furthermore, sleep disorders were found to be associated with significantly higher rates of health care utilization and cost, accounting for $94.9 billion in costs each year in the United States. Earlier data from this project demonstrated a correlation between sleep quality and pain. METHODS: Patients were recruited from Family Medicine and NMI. For a pilot study on intervention, student volunteers were recruited. Data was collected and statistical analyses were carried out with IBM SPSS v29.0 and Prism 12.0. RESULTS: Several covariates exhibited correlations with sleep quality. The sleep quality was surprisingly poor even in patients seen for well visits or annual examinations. It was also poor in student volunteers. CONCLUSIONS: The analyses revealed correlations between covariates (that are associated with the Body Mass Index (BMI), education levels) and sleep and circadian rhythms. Preliminary findings suggest a very short intervention was useful for students.
Keywords
Sleep, Mental Health, Stress, Students, Sleep Disorders, Comorbidity, Sleep Quality
Disciplines
Community Health and Preventive Medicine | Diagnosis | Medicine and Health Sciences | Pathological Conditions, Signs and Symptoms | Sleep Medicine
Document Type
Poster
Included in
Community Health and Preventive Medicine Commons, Diagnosis Commons, Pathological Conditions, Signs and Symptoms Commons, Sleep Medicine Commons
The Effects of Sleep Quality, Covariates and a Possible Intervention
Sleep is an essential biological process needed to maintain adequate physiologic function. Research has provided growing evidence that chronic failure to get enough sleep is associated with increased risk for obesity, depression, diabetes, hypertension, stroke, cardiovascular disease, and mortality. Sleep deprivation is threatening the health of up to 45% of the world's population. Furthermore, sleep disorders were found to be associated with significantly higher rates of health care utilization and cost, accounting for $94.9 billion in costs each year in the United States. Earlier data from this project demonstrated a correlation between sleep quality and pain. METHODS: Patients were recruited from Family Medicine and NMI. For a pilot study on intervention, student volunteers were recruited. Data was collected and statistical analyses were carried out with IBM SPSS v29.0 and Prism 12.0. RESULTS: Several covariates exhibited correlations with sleep quality. The sleep quality was surprisingly poor even in patients seen for well visits or annual examinations. It was also poor in student volunteers. CONCLUSIONS: The analyses revealed correlations between covariates (that are associated with the Body Mass Index (BMI), education levels) and sleep and circadian rhythms. Preliminary findings suggest a very short intervention was useful for students.