Background Sleep disorders are composed of a group of diseases of increasing prevalence and with social-health implications to be considered a public health problem. Sleep habits and specific sleep behaviors have an influence on the academic success of students. However, the characteristics of sleep and sleep habits of university students as predictors of poor academic performance have been scarcely analyzed. In the present study, we aimed to investigate sleep habits and their influence on academic performance in a cohort of Nursing Degree students. Methods This was a cross-sectional and observational study. An anonymous and self-administered questionnaire was used, including different scales such as the ‘Morningness and Eveningness scale’, an author-generated sleep habit questionnaire, and certain variables aimed at studying the socio-familial and academic aspects of the Nursing students. The association of sleep habits and other variables with poor academic performance was investigated by logistic regression. The internal consistency and homogeneity of the ‘sleep habits questionnaire’ was assessed with the Cronbach’s alpha test. Results Overall, 401 students (mean age of 22.1 ± 4.9 years, 74.8 % females) from the Nursing Degree were included. The homogeneity of the ‘sleep habits questionnaire’ was appropriate (Cronbach’s alpha = 0.710). Nursing students were characterized by an evening chronotype (20.2 %) and a short sleep pattern. 30.4 % of the Nursing students had bad sleep habits. Regarding the academic performance, 47.9 % of the students showed a poor one. On multivariate logistic regression analysis, a short sleep pattern (adjusted OR = 1.53, 95 % CI 1.01–2.34), bad sleep habits (aOR = 1.76, 95 % CI 1.11–2.79), and age < 25 years (aOR = 2.27, 95 % CI 1.30–3.98) were independently associated with a higher probability of poor academic performance. Conclusions Almost 1/3 of the Nursing students were identified as having bad sleep habits, and these students were characterized by an evening chronotype and a short sleep pattern. A short sleep pattern, bad sleep habits, and age < 25 years, were independently associated with a higher risk of poor academic performance. This requires multifactorial approaches and the involvement of all the associated actors: teachers, academic institutions, health institutions, and the people in charge in university residences, among others.
Background: Healthcare workers are continuously exposed to a high level of stress, especially emergency department professionals. In the present research, we aimed to determine the internal consistency and validity of the Stress Factors and Manifestations Scale for in-hospital and out-of-hospital emergency workers. Methods: A quantitative, prospective, cross-sectional, and observational study including 269 emergency service professionals. Results: The scale was composed of 21 items, with a Cronbach’s α value of 0.908. The hospital workers (38.4 ± 10.8 vs. 35.1 ± 9.9, p = 0.014) and women (39.3 ± 11.4 vs. 34.2 ± 8.6, p < 0.001) had higher levels of stress. The sensitivity, specificity, and predictive values of the scale were adequate. Conclusion: In the present study, including in-hospital and out-of-hospital emergency workers, the Stress Factors and Manifestations Scale presented appropriate usefulness, internal consistency, and validity, with optimal predictive ability. Higher levels of anxiety, female gender, being less optimistic, and working in hospital emergency departments were related to increased stress levels. Further studies are warranted to validate our results and potentially extend the Stress Factors and Manifestations Scale to other contexts.
ObjectivesMental workload is a condition which can negatively influence the overall health of workers. In this study, we aimed to investigate the risk factors for the onset of mental workload, including working conditions, cardiovascular comorbidities and lifestyle habits, in a working population.MethodsThis is a cross-sectional study including 408 workers from a risk prevention service of small/medium companies in Murcia (Spain). Workers from the secondary and tertiary sectors or primary/secondary sectors with administrative management tasks who underwent a routine medical examination between 1 January 2017 and 31 April 2017 were included. Workers from the primary sector and construction were excluded to avoid a sex and age bias.ResultsFrom 408 workers, 206 (50.5%) were females; with mean age 36.8±10.4 years. 164 (40.2%) workers had a moderate to significant risk of mental workload. Based on multivariate logistic regression analyses, independent predictors of mental workload were age ≥30 years (OR 2.42, 95% CI 1.22 to 4.80; p=0.012), working in tertiary (OR 7.89, 95% CI 3.59 to 17.31; p<0.001) or administrative sectors (OR 87.57, 95% CI 35.22 to 217.79; p<0.001) and alcohol consumption (OR 2.08, 95% CI 1.16 to 3.73; p=0.014). Smoking habit (OR 0.47, 95% CI 0.26 to 0.85; p=0.012) was found as a protective variable so non-smoking was considered as a risk factor.ConclusionIn the present study from a risk prevention service including workers of small/medium companies from the secondary and tertiary sectors and workers with administrative tasks, the labour sector, age, alcohol consumption and smoking habits, are independently associated with a higher risk of developing moderate to significant mental workload.
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