Relationship between sleep habits and academic performance in university Nursing students.

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.

Work Shift and Circadian Rhythm as Risk Factors for Poor Sleep Quality in Public Workers from Murcia (Spain).

The purpose of this study was to determine the prevalence of sleep quality and to investigate variables predicting the risk of poor sleep quality in public workers from Murcia (Spain). A cross-sectional and prospective study was conducted from October 2013 to February 2016 in 476 public workers. The Pittsburgh Sleep Quality Index was used to measure the quality of sleep, and the reduced scale of the Horne and Österberg Morningness-Eveningness Questionnaire was applied to analyze the circadian typology. The predictive variables of self-reported poor sleep quality were identified by multivariate logistic regression. No significant differences were found according to sex in the overall sleep quality scores (5 ± 2.9 versus 5.1 ± 3, p = 0.650), but there were in the duration of sleep. Three percent of females slept <5 hours compared to 2% of men (p = 0.034). Fixed morning shifts (OR = 1.9, 95% CI 1.3-3.1; p = 0.007) and evening chronotypes (OR = 1.6, 95% CI 1.0-2.3; p = 0.017) were independent predictors of suffering from poor sleep quality. In conclusion, the frequency of self-reported poor sleep quality among public workers from Murcia was 37.4%. Being a public worker with a fixed morning shift and having an evening chronotype demonstrated to be associated with the quality of sleep.

A new tool to assess patients' comfort during hospitalization: The Hospital Discomfort Risk questionnaire.

AIM: We aimed to develop a tool for the assessment of the risk of patient discomfort in Spanish hospital wards. BACKGROUND: Several studies described tools to assess comfort but most are long and complex. METHODS: Cross-sectional study performed in three phases ((a) initial design; (b) refinement and psychometric testing; and (c) internal validation of the Hospital Discomfort Risk [HDR] questionnaire). RESULTS: A voluntary expert panel proposed the HDR questionnaire. Internal consistency and factorial analysis were investigated in 270 (53.7% men, mean age 57.33 ± 18.7 years) inpatients. Based on the Cronbach's α, three items were removed to the final 8-item version of the questionnaire. The HDR questionnaire showed a good predictive ability for identifying the risk of discomfort (c-index: .897, 95% CI 0.854-0.930; p < .001). CONCLUSIONS: The HDR questionnaire could be useful for identifying inpatients at risk of discomfort, but further prospective studies should externally validate these results. IMPLICATIONS IN NURSING MANAGEMENT: Nurses are the healthcare professionals with better access to patients and the first in identifying complications of hospitalization. Patients' discomfort could be routinely assessed during hospitalizations using the HDR questionnaire. Nurse managers should play an important role in this accomplishment, by promoting its use and knowledge among the nurse staff.

Risk factors for mental workload: influence of the working environment, cardiovascular health and lifestyle. A cross-sectional study.

OBJECTIVES: Mental 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. METHODS: This 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. RESULTS: From 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. CONCLUSION: In 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.

Reliability and validity of the student stress inventory-stress manifestations questionnaire and its association with personal and academic factors in university students.

BACKGROUND: Stress affects us in every environment and it is also present in the educational sphere. Previous studies have reported a high prevalence of stress in university students. The Student Stress Inventory-Stress Manifestations (SSI-SM), identify stressors and evaluate stress manifestations in adolescents but its validity in university students remains uncertain. OBJECTIVES: We aimed to determine the internal consistency and validity of an adapted version of the Student Stress Inventory-Stress Manifestations (SSI-SM) for university students and to investigate if high stress levels are associated with personal and academic factors. DESIGN AND METHODS: In this quantitative, descriptive, cross-sectional study, we included 115 university students of the Nursing Degree during the second semester of the 2014/2015 academic year. Information about personal issues, lifestyle and academic performance was recorded and the stress was evaluated with the SSI-SM questionnaire. The internal consistency and homogeneity of the SSI-SM questionnaire was tested and a factorial analysis was performed. RESULTS: After the homogeneity analysis, the final version of the SSI-SM questionnaire included 19 items, with a Cronbach's alpha of 0.924. In the factorial analysis, 4 factors were found ('Self-concept', 'Sociability', 'Uncertainty' and 'Somatization'; all Cronbach's alpha >0.700). Students with higher values on the SSI-SM were, in overall, women (41.0 ±â€¯12.7 vs. 33.2 ±â€¯9.5; p = 0.001) and had significantly more family conflicts (47.6 ±â€¯13.8 vs. 35.2 ±â€¯9.6; p < 0.001), consumed less alcohol (R = -0.184, p = 0.048), slept less hours (R = -0.193, p = 0.038) and had worse academic performance in Clinical Nursing (36.3 ±â€¯10.4 vs. 41.2 ±â€¯13.3, p = 0.039). CONCLUSIONS: After exclude three items of the original SSI-SM, higher scores in the SSI-SM are correlated with stress level in a cohort of university students of the Nursing Degree. Family conflicts, female gender, absence of alcohol consumption, few sleep hours and poor academic performance are associated with higher stress levels.

Randomised clinical simulation designed to evaluate the effect of telemedicine using Google Glass on cardiopulmonary resuscitation (CPR).

AIM: Through a clinical simulation, this study aims to assess the effect of telematics support through Google Glass (GG) from an expert physician on performance of cardiopulmonary resuscitation (CPR) performed by a group of nurses, as compared with a control group of nurses receiving no assistance. METHODS: This was a randomised study carried out at the Catholic University of Murcia (November 2014-February 2015). Nursing professionals from the Emergency Medical Services in Murcia (Spain) were asked to perform in a clinical simulation of cardiac arrest. Half of the nurses were randomly chosen to receive coaching from physicians through GG, while the other half did not receive any coaching (controls). The main outcome of the study expected was successful defibrillation, which restores sinus rhythm. RESULTS: Thirty-six nurses were enrolled in each study group. Statistically significant differences were found in the percentages of successful defibrillation (100% GG vs 78% control; p=0005) and CPR completion times: 213.91 s for GG and 250.31 s for control (average difference=36.39 s (95% CI 12.03 to 60.75), p=0.004). CONCLUSIONS: Telematics support by an expert through GG improves success rates and completion times while performing CPR in simulated clinical situations for nurses in simulated scenarios.