Qualidade do sono e nível de Fadiga entre os profissionais do atendimento pré-hospitalar móvel

Abstract

Poor sleep quality is recognized as a public health problem, if prolonged can cause fatigue, resulting in decreased cognitive ability of an individual to perform tasks. Poor sleep quality and fatigue may negatively impact the work of the professional of the mobile pre-hospital care, because fast and accurate actions are necessary since the initial call, on the route, until the end of occurrence. Objective: Analyze sleep quality and fatigue among professionals of the mobile pre-hospital care. Material and methods: Cross seccional study with professionals of the public mobile pre-hospital care, Mobile Emergency Care Service (SAMU) and Military Firefighters Corps (CBM), Campo Grande – MS – Brazil, 2014. Three questionaries translated and validated to brazilian culture were used: Pittsburgh Sleep Quality Index (PSQI-BR), Need for Recovery Scale (ENEDE) and Chalder Fatigue Scale; a questionnaire was also used to collect socio demographic data. The questionnaires were distributed in selected bases of SAMU and CBM. Professionals who met the inclusion and exclusion criteria participated in this work. Results: The sample consisted of 160 participants, median age of 37.31 year (standard error of the mean ±0.61), male prevalence (76.9%, n=123), service time 12.18±0,60 years (mean, standard error of the mean), professional of the operational sector (73.7%, n=118), only job (85.6%, n=137), nonsmoker (95.0%,n=152), do not drink alcohol (55%, n=88), had no previously diagnosed disease (68.8%, n=110) and did not take regular medication (75.0%, n=120). In general, there were higher percentage for bad sleep (66.90%, n=107) in the PSQI-BR and fatigued (53.75%, n=86) with ENEDE, while with the Chalder Fatigue Scale non-fatigued was prevalent, 70.60% (n=113). Median scores of the PSQI-Br and fatigue were higher in SAMU when compared to CBM. There was moderate positive correlation between sleep quality and fatigue (p<0.001 and r=0.506, Spearman correlation). The percentage of whom had bad PSQI and was fatigued was 40.20% (n=43), significantly higher than those who presented good PSQI and was also fatigued, 7.5% (n=4), (p<0.001). There was correlation between the variables: gender (p=0,046), smoking (p=0041), disease (p<0.001) and medication (p<0.001) with PSQI (good sleep and bad sleep). Conclusion: In the studied sample of professionals of the mobile pre-hospital care, sleep quality is correlated to fatigue, and it is associated to gender, smoking, disease and medication.