A influência das condições psicofisiológicas individuais na produtividade laboral de funcionários de uma instituição de ensino superior

Abstract

Work productivity is an important condition for companies and one of the possible causes of variation of this measure are in psychophysiological conditions, which can alter the behavior of workers and influence their performance. The aim of the study was to evaluate the influence of the Individual Psychophysiological Conditions of Workers of an University Center in their labor productivity. For this reason, this research was carried out, approved by UTFPR's Research Ethics Committee, with 50 workers from a University Center at Santa Catarina, Brazil, who were submitted to 5 evaluations in a working day, increasingly, totaling 250 moments of evaluation. Pain data were obtained through the Visual Analogue Scale (VAS), Mood States were carried out by the Brazilian Humor Scale (BRAMS), Blood Pressure from digital measurement and Heart Rate Variability (HRV) were obtained through of frequencimeter. All data were correlated to the Productivity components that were obtained through the Rapid Instrument for the Evaluation of Worker Productivity (IAPT), which was developed, validated and had its internal consistency ascertained, to meet the research objectives. The data are treated by descriptive and inferential statistics. To identify a combined influence of the independent variables on productivity, linear variable regression and binary logistic regression were carried out. SPSS software v. 23.0 was used for all analysis. The significance levels for the data respond to p0.05. The data showed a productivity below what is considered ideal for the literature and a variance of these index between the periods of the day and between the days of the week. The multiple linear regression data showed that there was influence of the independent variables in this productivity variation. By stepwise technique, a prediction model was obtained where the combined mood states (vigour, anger, fatigue and tension) generated a predictive index of 65.2% (R2 = 0.652) on a productivity obtained. No other measured variable generated significant influence. In addition, a greater probability ratio was observed without Logistic Regression model so that good productivity indices are related to subjects with good Vigour levels, absence of prices and low rates of fatigue. Finally, it was observed that psychophysiological conditions, more particularly, pain and mood states, have a decisive influence on worker productivity and must be considered by business managers and researchers interested in this subject.