The impact of social comparisons of job demands and job control on well-being.

We extended the job demand-control model by including a social comparison perspective and hypothesised that an employee's work-related well-being is to some degree relative to the perceived work environment of coworkers rather than absolute (in terms of isolated effects of individual work characteristics). Hence, we account for the social context when examining the effects of individual job characteristics. Using a lagged study design with two measurement times eight weeks apart, we examined the effects of the (in)congruence between one´s own job demands and job control with the perceived job demands and job control of coworkers on job satisfaction, emotional exhaustion, cynicism, and professional efficiency. Findings from polynomial regression analyses and response surface methodology revealed that perceiving coworkers as having either higher or lower demands than oneself is associated with lower job satisfaction and higher levels of emotional exhaustion. This provides partial support for our hypotheses. We found first-time evidence that social comparison processes regarding job demands can influence employees´ well-being.

The Association of the 24 Hour Distribution of Time Spent in Physical Activity, Work, and Sleep with Emotional Exhaustion.

Previous research identified time spent in physical activity, sleeping, and working as predictors of emotional exhaustion. However, this research did not take into account the interdependence of these time-use components. Since daily time is limited to 24 h, time spent in one specific activity (e.g., sleep) cannot be used for any other activity (e.g., physical activity). We conducted a one-week daily sampling study to assess the compositional effects of physical activity, sleep, and work on emotional exhaustion. Since the sample consisted of 104 undergraduate students, work was operationalized as study time. Participants wore accelerometers for one week continuously to assess sleep and physical activity. Also, they filled in questionnaires on study time and emotional exhaustion every morning. Multilevel and compositional data analyses were conducted. The multilevel analysis revealed significant between- (p = 0.012) and within-level (p < 0.001) associations of study time with emotional exhaustion. The compositional approach showed that time spent in physical activity was negatively related to emotional exhaustion (p = 0.007), whereas time spent studying was positively related to emotional exhaustion (p = 0.003), relative to the remaining two time-use components. In conclusion, our results show that emotional exhaustion is not only associated with work-related factors, but also with off-job physical activity.