Background: Insomnia has been associated with decreased academic performance and unhealthy behaviors in university students. Although many studies have analyzed sleep phenomenology among this population, only few have focused on insomnia and its related variables. In addition, such studies do not always include a clinical interview or a specific and validated instrument for measuring insomnia. This study aimed to explore the prevalence of insomnia symptoms and the relationship between insomnia and health habits, mental health, and academic performance in a large university student sample. Methods: Five hundred and eighty-two students were recruited from the University of Granada, Spain. Data were collected through an online survey with questions on sociodemographic and academic data and health habits as well as the Pittsburgh Sleep Quality Index, Insomnia Severity Index, Sleep Hygiene Index, and Sleepiness, Depression, Anxiety, and Stress Scales. A multiple regression analysis explored the relationship between academic performance, health habits, mood state, and insomnia symptoms. Results: The prevalence of students with symptoms of insomnia was high (39.7%). A multiple logistic regression analysis revealed that depression, sleep hygiene, stress and anxiety were significant predictors of insomnia symptoms. Multivariate analyses revealed that subjective insomnia symptoms, sleep efficiency, and depression were significantly correlated with academic performance in a dependent way. Conclusions: In university students, anxiety, stress, and poor sleep hygiene are risk factors for insomnia, which plays an important role in academic performance. Promoting sleep and mental health could be a potentially effective way to improve their academic performance.
Background/Objectives: Shift work schedules and mental and physical workloads affect the sleep homeostasis of nurses, increasing the risk of occupational injuries. This study aimed to investigate the relationship between sleep disturbances caused by shift schedules and the occurrence of needlestick and sharps injuries (NSIs) among nurses, considering significant worker and occupational factors. Methods: A total of 348 nurses from five hospitals of Santiago de Guayaquil, Ecuador, participated in this cross-sectional survey. Data on sociodemographic and occupational characteristics, work schedules, and NSI incidents during the previous six months were collected. Emotional status, sleepiness, and insomnia symptoms were assessed using validated questionnaires. Additionally, nurses with night shifts (fixed or rotating) were specifically assessed to estimate the relationship between NSIs and insomnia or sleepiness symptoms related to these types of shift work using logistic regression analyses. Results: Nurses whose schedule included night shifts showed a higher prevalence of NSIs than those with other shifts (33.2% vs. 29.0%; p < 0.05). High levels of depression, anxiety, and stress were associated with having had an NSI in the previous six months. Logistic regression showed that female sex (adjusted odds ratio, aOR 4.62, 95% CI: 1.65–12.97), less experience in the current clinical setting (aOR 3.12, 95% CI: 1.46–6.57), the use of psychotropic drugs (aOR 4.46, 95% CI: 1.51–13.17), and insomnia and sleepiness symptoms due to shift work (aOR 2.61, 95% CI: 1.15–5.91) increased NSI risk among nurses with night shifts. Conclusions: There is an acute need to explore the complex relationship between sleep troubles linked to shift work schedules, occupational factors, and the risk of occupational injuries and propose preventive strategies for enhancing nurses’ sleep health and workplace safety.