Demandas psicológicas e controle do processo de trabalho dos técnicos administrativos em educação de uma universidade pública

Abstract

The objective of this study was to analyze the psychological demand and job control in self-reported by the Administrative Technical Education (TAES) at a public university. A cross-sectional study with 833 workers TAES at a public university was developed. Were eligible: TAES effective university research scenario in active exercise of the function, the campus Juiz de Fora. Were considered ineligible: employees absent due to sick leave, leave for qualification/ training and shift to another institution. Data analysis was performed using descriptive statistics and bivariate socioeconomic and demographic data, work characteristics, social support, job stress, characterization according to the activities developed. Low-strain jobs (low demands and high control) reference group, passive jobs (low demand and low: To calculate the psychosocial work stress formulation of the quadrants of Job Strain Model, which defines the following categories: low strain (low demands and high control) reference group, active jobs (high demands and high control), passive job (low demands and low control) high strain (high demand and low control) the highest exposure group. The study population was predominantly composed: for men (51.5%) with a mean age of 46.1 years (SD = 10.9), married or living with a partner (63.7%), with graduate (54.4%), who worked at only one job (83.9%), at a fixed time (82.8%), with weekly hours less than or equal to 40 hours (79.1%), who did not work night (82.8%), who worked at the university for more than 10 years (63.9%) and predominant monthly income between 5 to 10 minimum wages (45.8%). The category quadrant that includes the largest number of people was the passive job (n = 319, 39.7%), followed by low strain (n = 274, 34.1%). The high strain included n = 116; 14.4%, and the active job, n = 95; 11.8% of workers. In the bivariate analysis significant associations between the quadrants of the MDC and monthly income, college-level, number of jobs, weekly schedule, service time, night work, working hours, social support, main activities and nursing staff were found. According to the results of our study, we saw that the workers predominated passive job category, and associate variables MDC with other study variables, some were associated with low strain jobs. How nursing contribution to the health of these workers suggest interventions to empower them so that they can be responsible for decision making in their daily work and upgrading of jobs, so they can perform activities that are appropriate to their profiles .