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This study was aimed to investigate the moderator role of psychological capital relationships between occupational stress and work-life quality. In this cross-sectional study, the population were selected among all faculty members at the University of Bojnord. One-hundred and fifty faculty members were selected as samples. The study questionnaires were included occupational stress, psychological capital and work-life quality. The multiple regression analysis was examined research's hypothesis using SPSS software version 22. According to findings, the correlation coefficients between occupational stress and work-life quality (r=-0.595, p<0.0001) and between psychological capital and worklife quality (r=0.421, p<0.0001) which all were statistically significant. The interaction of occupational stress and psychological capital, beyond effects of the main variables, created 2.8% of the increased variance for the model which indicates these variables have a meaningful interaction with each other in predicting of work-life quality (ΔR2=0.028, ΔF= 6.15, p< 0.02). The results showed the importance of psychological capitals moderator relationships between occupational stress and work-life quality among the faculty members. Therefore, in order to reduce the effects of occupational stress on work-life quality, it is recommended that universities enhance psychological capital of faculty members through practical training protocols. [ABSTRACT FROM AUTHOR]

Shiftwork is now a major feature of working life across a broad range of industries and circadian rhythms play an important role in shiftwork tolerance. So, the aim of this study was examine the relationships between age, morning-type and rigidity sleeping habits with shiftwork tolerance among shiftworkers of Karun Oil and Gas Exploitation Company. The sample consisted of 295 shiftworkers of Ahvaz, Iran, selected according to the stratified random sampling. Survey of Shiftworkers (SOS) was used to measure the variables of this study. The results indicate that correlation coefficients between the shiftwork tolerance with age, morning-type and rigidity sleeping habits were negative and significant (P<.OOO1). Stepwise multiple regression analyses yielded R1=0.449, R2=0.532 and R3=0.547 between shiftwork tolerance and independent variable. The results showed the importance of age, morning-type and rigidity as predictors of shiftwork tolerance. At a more practical level the main implication would be that we should attempt to select people for shiftwork systems according to their circadian rhythms (morningness /eveningness), sleeping habits (flexibility/rigidity) and demographic variables (such as age). [ABSTRACT FROM AUTHOR]