Magnitude of Poor Sleep Hygiene Practice and Associated Factors among Medical Students in Ethiopia: A Cross-Sectional Study

Factors associated with poor sleep quality among construction workers in Arba Minch town, Ethiopia: A cross-sectional study

Background and Aims

Sleep is critical for human physical and cognitive health. Even though poor sleep quality had a major negative impact on workers' health and safety, there is a scarcity of study that attempts to demonstrate its magnitude and causative factors in labor-intensive environments.

Methods

A cross-sectional study design was employed. A total of 423 individuals were selected using a simple random sampling technique, starting from April 1, 2020 to May 1, 2020. Interviews were administered using the validated and pretested Pittsburgh Sleep Quality Index (PSQI) tool. EpiData version 4.4.3.1 was used for data entry and SPSS version 25 for analysis. To associate factors with poor sleep quality binary logistic regression model was fitted at 95% confidence interval (CI). A p < 0.25 and p < 0.05 were used to declare association in bivariable and multivariable analysis, respectively.

Results

A total of 415 building construction workers take part in this study, with a response rate of 98.1%. A PSQI global score showed 66.3% (95% CI: [0.63, 0.71]) of construction workers suffering from poor sleep quality. Working hours, work experience, previous injury status, managerial support on occupational safety and health, cigarette smoking, and job satisfaction were the factors that were associated with poor sleep quality significantly.

Conclusions

Two-thirds of construction workers suffer from poor sleep quality. Risk factors include shorter working years, longer working hours, prior injury, lack of managerial support, cigarette smoking, and low job satisfaction. Efficient health education and promotion through taking the identified associated factors into account could help reduce poor sleep quality.

Prevalence and associated factors of sleep deprivation among Haramaya University students, Ethiopia, 2021: cross-sectional study

Background

Sleep deprivation is the lack of sleep that is associated with an increased risk of cardiovascular illness, diabetes, obesity, cognitive impairment, vehicle accidents, and workplace accidents, as well as being a direct source of daily dysfunction. Despite the fact that some studies have been undertaken, there is a shortage of data on the incidence of sleep deprivation and associated factors among university students in Africa, particularly in Ethiopia, where the study area is located. As a result, the purpose of this study was to determine the incidence of sleep deprivation and its associated factors among Haramaya University students in Eastern Ethiopia.

Methods

A cross-sectional study design was employed among Haramaya University students. A total of 624 students participated in this study. A multistage sampling technique was used to select the participants. A pretested structured self-administered questionnaire was used to collect data. Using Epi Data Version 3.1, the data was checked, coded, entered, and cleaned before being exported to SPSS Version 20 for analysis. Bivariate and multivariate logistic regression analysis was undertaken. For statistical significance, P ≤ 0.001 was used as the cutoff point.

Results

In this study, 586 study participants were participated, with a response rate of 96.2%. Among participants, the majority of 324(55.3%) were males, and the majority of 311(53.1%) were in the age range of 17–20 years with a median age of 19. Most of the study participants were single 561(95.7%). The overall prevalence of sleep deprivation was 68.4% (95% CI: 64.8–72.4). Coffee/tea drinkers (AOR = 2.83, 95% CI:1.17–6.86), Khat chewers (AOR = 2.33, 95%CI: 1.20–4.50), participants with stress (AOR = 3.49,95% CI: 1.22–9.95), participants exposed to moderate stage of anxiety (AOR = 2.87,95% CI:1.14–7.18), and being in the third and fourth study years (AOR = 0.33,95% CI:0.13–0.85) were significantly associated factors with sleep deprivation.

Conclusion

The prevalence of sleep deprivation was found to be high in this study. Coffee/tea users, khat chewers, being stressed, exposed to moderate levels of anxiety, and being in the third and fourth study years were all found to be significantly associated with sleep deprivation.

Sleep Disorders and Their Associated Factors during the COVID-19 Pandemic: Data from Peruvian Medical Students

Background and objectives: Sleep disorders are a common public health problem among college students. The objective of this study was to evaluate sleep quality and its associated factors in medical students during the COVID-19 pandemic. Materials and Methods: Cross-sectional analytical study—we conducted a secondary analysis of the survey “Nomophobia in medical students in Peru” database between 2020 and 2021. Sleep disturbances were assessed using the Pittsburgh Sleep Quality Index (PSQI). To evaluate associated factors, crude and adjusted prevalence ratios (aPR) and their 95% confidence intervals (95% CI) were calculated. Results: We analyzed data from 3139 participants from 18 cities in Peru (61.1% were women, median age: 22 years). 43.4% had a quality of sleep that could require medical attention; the PSQI dimension with the highest score was daytime dysfunction. The poor sleep quality was associated with symptoms of anxiety (aPR: 1.48; 95% CI: 1.27–1.72), depression (aPR: 2.03; 1.72–2.39), or nomophobia (aPR: 1.28; 1.09–1.51). Conclusions: Sleep disorders were a common problem among Peruvian medical students and were associated with anxiety, depression, or nomophobia symptoms.

Prevalence And Predictors of Restless Leg Syndrome in Adolescent and Young Adults in Bengaluru City, India - a Cross Sectional Study

INTRODUCTION

Restless leg syndrome (RLS) is a sensorimotor disease characterized by an urge to move the legs, often caused by uncomfortable and unpleasant sensations in the legs. It affects the quality of sleep which in turn affects scholastic performance in children and predisposes them to cardiovascular diseases in the long run. Hence, the primary aim of this study was to assess the prevalence and predictors of RLS, poor sleep quality and excessive daytime sleepiness (EDS) Methods: This was a cross sectional observational study conducted between September 2017 and March 2020 in Bengaluru, India including all consenting Pre - university college, Degree college, and Higher secondary school students. After parental consent and assent (if applicable) was obtained, a semi-structured standardized pilot tested questionnaire consisting of the RLS diagnostic criteria, Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS) and questions on sleep hygiene was administered. The prevalence was expressed as proportions and 95% confidence intervals (95% CI). Regression analysis was done to determine the predictors.

RESULTS

The overall prevalence (95CI; frequency) of students with RLS, poor sleep quality and EDS in our study population was 8.36% (7.54, 9.24; n=1544/4211), 36.67% (35.21, 38.14; n=1544/4211) and 39.87% (38.39, 41.37; n=1679/4211), respectively. PSQI and Epworth score were the significant predictors of RLS. Age, Epworth score, knowledge score and the number of unacceptable sleep habits were the significant predictors of sleep quality. Female gender, PSQI, RLS, knowledge score and the number of unacceptable sleep habits were the significant predictors of EDS.

CONCLUSIONS

The prevalence of RLS, those with poor sleep quality and EDS among adolescents and young adults was higher when compared to the historical data of general population in the same city.