Sleeping behavior and associated factors during COVID-19 in students at a Hispanic serving institution in the US southwestern border region.

Sleep is responsible for maintenance and regulatory functions in human physiology. Insufficient sleep has been associated with cardiovascular disease, weight gain, obesity, inflammation, and morbidity. University students are at high risk under normal circumstances of stress and anxiety due to extracurricular demands, competing pressures on student time, long study hours, and financial concerns. The COVID 19 pandemic has disrupted normal college students' lives adding stresses such as lost jobs and family responsibilities such as serving as caregivers, which disproportionally affect minority and rural student. This study aimed to assess the correlation of sleep disorders in New Mexico State University students during COVID 19 with selected variates including base demographics (e.g., gender, age, etc.), lifestyle metrics (e.g., employment status, discipline, class, etc.), living arrangements (e.g., housing type, number of children, etc.), alcohol and tobacco use, vaccination status, family COVID status, and family vaccination status. Single- and multi-factor logistic regressions were performed to analyze the data on the students. Qualtrics software was used to collect data on demographics and sleep disorders. R software was used for data analysis. Correlations were found between sleeping less, sleeping more, and disturbed sleep among several covariate categories. For all three responses, being married (sleeping less: OR = 0.342, 95% CI = 0.181-0.642, sleeping more: OR = 0.265, 95% CI = 0.111-0.591; disturbed sleeping: OR = 0.345, 95% CI = 0.182-0.650), frequency of feeling sleepy-very often (OR = 16.87, 95% CI = 6.571-47.434; OR = 8.393, 95% CI = 3.086-25.298; OR = 13.611, 95% CI = 5.409-36.975) and change in diet- quality decreased (OR = 7.304, 95% CI = 3.615-15.270; OR = 5.250, 95% CI = 2.309-12.558; OR = 4.181, 95% CI = 2.145-8.359) were all significant correlated to change in sleeping behavior. Other correlations were found among covariates and sleep changes. Several covariates were determined to be correlated with the effect of COVID-19 on sleeping.