Prediction of sleep quality in military submariners

Introduction: Insufficient sleep in submariners can have a negative impact on operational performance and the health of this population. Objective: develop an equation model to predict sleep quality in military submariners based on body composition, neuromuscular, cardiorespiratory variables, stress level, and sleepness. Methods: a cross-sectional and correlational study, with a sample of 37 submariners (men: 28.11±3.45 years). Data from the Pittsburgh Sleep Quality Index (PSQI) as dependent variable, and as independent variables given body composition, height, BMI, waist, body fat, dominant handgrip, cardiorespiratory fitness, squats, sit-ups, relative power of the lower limbs (PotRel LL), stress (PSS-10) and Epworth Sleepiness Assessment (ESE). The multiple linear regression test, adopting the forward stepwise method, was used to select predictor variables from the equation model to estimate the level of sleep quality. Results: the sleep quality prediction model developed was the equation PSQI=-3.476+0.176(PSS-10)+0.165(PotRel LL) with R2adjust: 0.36 and EPE: 1.93. Conclusion: the construction of the specific proposed model related to submariners' health demonstrated that the level of sleep quality can be estimated with a low estimation error, based on the stress level (PSS-10) and lower limb power (PotRel LL).el LL).