Avaliação do sono e enfermeiros nos diferentes turnos hospitalares

This study aimed to analyze the pattern characteristics of sleep and sleep quality of nurses who worked day and night shifts. This is a study with a quantitative approach, cross-sectional, descriptive. The study was conducted at the University Hospital of Rio Grande do Norte. Data were collected in full in the period from January to September 2015, through the instruments: Pittsburgh Sleep Quality Index and Sleep Diary. Subjects were interviewed according to their work shift, day or night, during the working hours of the nursing team. After being coded and tabulated, data were analyzed using SPSS version 20.0. The study was approved by the Research Ethics Committee of the Federal University of Rio Grande do Norte, in the Opinion No. 751 567. For a description of continuous variables were used position measurements (mean and median), dispersion (standard deviation) and correlation (Spearman correlation test), to a 0.05 significance level. The socio-demographic profile of the sample showed a total of n = 104 participants, distributed in: 64 on day shift and night shift 40; wherein 90.4% are female, aged between 24-45 years, corresponding to 73% of the sample. There was the presence of statistically significant differences for the variables: employment and living habits (inpatient and outpatient sector (p = 0.003), have more than one job (p = 0.002), use cordial (p = 0.021); Sleep pattern: nap time (p = 0.003), sleep latency (p = 0.013), total sleep time (p = 0.001), how it felt to wake up (p = 0.017), quality of nighttime sleep (p = 0.001) and sleep quality (p = 0.007) compared between the day shift and the night shift. It was concluded that shift work has changed the pattern and sleep quality of nurses working day and night shifts.

Avaliação do sono e enfermeiros nos diferentes turnos hospitalares

This study aimed to analyze the pattern characteristics of sleep and sleep quality of nurses who worked day and night shifts. This is a study with a quantitative approach, cross-sectional, descriptive. The study was conducted at the University Hospital of Rio Grande do Norte. Data were collected in full in the period from January to September 2015, through the instruments: Pittsburgh Sleep Quality Index and Sleep Diary. Subjects were interviewed according to their work shift, day or night, during the working hours of the nursing team. After being coded and tabulated, data were analyzed using SPSS version 20.0. The study was approved by the Research Ethics Committee of the Federal University of Rio Grande do Norte, in the Opinion No. 751 567. For a description of continuous variables were used position measurements (mean and median), dispersion (standard deviation) and correlation (Spearman correlation test), to a 0.05 significance level. The socio-demographic profile of the sample showed a total of n = 104 participants, distributed in: 64 on day shift and night shift 40; wherein 90.4% are female, aged between 24-45 years, corresponding to 73% of the sample. There was the presence of statistically significant differences for the variables: employment and living habits (inpatient and outpatient sector (p = 0.003), have more than one job (p = 0.002), use cordial (p = 0.021); Sleep pattern: nap time (p = 0.003), sleep latency (p = 0.013), total sleep time (p = 0.001), how it felt to wake up (p = 0.017), quality of nighttime sleep (p = 0.001) and sleep quality (p = 0.007) compared between the day shift and the night shift. It was concluded that shift work has changed the pattern and sleep quality of nurses working day and night shifts.

Associação da depressão e distúrbio do sono em pacientes com e sem disfunção temporomandibular

Objective: To evaluate the inter-relationship between TMD (temporomandibular disorder), depression and sleep disorder. Methods: This is a case-control study with questionnaires in 111 patients, allocated from the Dentistry Department of UFRN, Natal, Brazil, from September 2014 to June 2015, for evaluation of depressive symptoms through the BDI (Beck Depression Inventory); sleep disorder, the PSQI (Pittsburgh Sleep Quality Index) and DTM through the RDC / TMD (diagnostic criteria to search for DTM). All indexes were applied by a single examiner previously trained and calibrated. The collected data were analyzed with chi-square tests of Pearson (χ2) and the unconditional logistic regression. Results: women had a risk of 2.85 times more likely to develop TMD (p = 0.046). The OR (odds ratio) shows that sleep disturbance increases by 2.19 the chances of having TMD (p = 0.062) and depressive symptoms increase the risk by 3.16 times in developing dysfunction (p = 0.053). Conclusion: The data of this research allows us to conclude that patients with TMD, in this population, were more likely to develop changes in sleep and depressive symptoms.