Sleep deprivation and associated factors among students of the Institute of Health in Jimma University, Southwest Ethiopia

Abstract

Objective Despite getting sufficient sleep being one of the most important things that we can do to keep our body and mind healthy, sleep deprivation has become a major public health concern. This study aimed to determine the prevalence of sleep deprivation and its associated factors among students of the Institute of Health in Jimma University. Methods An institution-based cross-sectional study was conducted from April 10 to April 24 in 2019. Data were collected from 365 randomly selected participants and analyzed using Statistical Package for the Social Sciences (SPSS; version 23). Multivariate logistic regression analysis was used to identify the factors associated with sleep deprivation. The level of significance was declared at a P-value of <0.05. Results A total of 365 participants participated, with a response rate of 97.6%. The study findings showed that 60.8% of students had sleep deprivation and 68.2% had sleep latency. Health problems (adjusted odds ratio [AOR] = 1.91 [95% confidence interval {CI} = 1.01–3.58]), alcohol consumption [AOR = 0.42 (95% CI = 0.2–0.89)], cigarette smoking [AOR = 0.31 (95% CI = 0.09–0.93)], khat chewing [AOR = 0.47 (95% CI = 0.12–0.82)], use of an electronic device before bedtime [AOR = 5.26 (95% CI = 1.78–15.52)], and cumulative grade point average (CGPA) [AOR = 0.48 (95% CI = 0.27–0.83)] were significantly associated with sleep deprivation. Conclusions Sleep deprivation was common in the study area. This is mainly due to health problems, substance utilization, long-time use of an electronic device, and low CGPA. Therefore, a strategy and system should be established to limit substance use, enhance proper use of electronic devices, and create awareness on the impact of nonoptimal sleep.

Risk factors for the prevalence of poor sleep quality in lecturers during COVID-19 pandemic in Ethiopia: an institution-based cross-sectional study

“…Electronic device use: If the participant uses/watches at least one of the following: television, computer, tablet or mobile phone in bed before going to sleep. 44 …”

“…35 Moreover, poor SQ has been correlated to old age, low economic status, substance use, obesity, use of an electronic device before bedtime, higher risks of contracting COVID-19 at work, workload and job stress. [36][37][38][39][40][41][42][43][44] Given the widespread and harmful consequences of poor SQ, it needs to be a top priority for public and occupational health. As previously stated, a thorough review of the literature revealed that even less is known about the prevalence and factors of poor SQ among academic staff and other university personnel in developing countries including Ethiopia.…”

“…55 Electronic device use: If the participant uses/watches at least one of the following: television, computer, tablet or mobile phone in bed before going to sleep. 44 Chronic illness: Illnesses such as asthma, diabetes mellitus, stroke, kidney stone, hypertension that can be managed, but cannot be cured and have a greater risk of developing a poor quality of sleep. 56 Risk perception of COVID-19 infection: Was assessed by two psychological dimensions; perceived susceptibility and perceived severity.…”

“…Academic staff members used computers more frequently during the COVID-19 outbreak, which may have increased their exposure to computer light and led them to poor SQ, and negatively affected their quality of sleep 35. Moreover, poor SQ has been correlated to old age, low economic status, substance use, obesity, use of an electronic device before bedtime, higher risks of contracting COVID-19 at work, workload and job stress 36–44…”

Prevalence and associated factors of poor sleep quality among industrial workers in Addis Ababa, Ethiopia: findings from a cross-sectional study

“…53 Electronic device user Workers who used or viewed at least one of the following: television, computer, tablet or phone in bed before going to sleep in the last month. 54…”