Fatigue is an exhaustion state caused by prolonged physical work and mental work, which can reduce working efficiency and even cause industrial accidents. Fatigue is a complex concept involving both physiological and psychological factors. Fatigue can cause a decline of concentration and work performance and induce chronic diseases. Prolonged fatigue may endanger life safety. In most of the scenarios, physical and mental workloads co-lead operator into fatigue state. Thus, it is very important to study the interaction influence and its neural mechanisms between physical and mental fatigues. This paper introduces recent progresses on the interaction effects and discusses some research challenges and future development directions. It is believed that mutual influence between physical fatigue and mental fatigue may occur in the central nervous system. Revealing the basal ganglia function and dopamine release may be important to explore the neural mechanisms between physical fatigue and mental fatigue. Future effort is to optimize fatigue models, to evaluate parameters and to explore the neural mechanisms so as to provide scientific basis and theoretical guidance for complex task designs and fatigue monitoring.
Attention ; Brain ; physiology ; Fatigue ; Humans ; Mental Fatigue ; Workload

Objectives To investigate the effects of seasonal changes on peritoneal dialysis associated peritonitis (PDAP) in patients on peritoneal dialysis (PD),and to provide evidence for clinical prevention and treatment of PDAP.Methods All episodes of PD-related peritonitis during clinic follow-up in maintenance PD patients from Jan 1st,2007 to Dec 31st,2015 in Peking University People's Hospital were reviewed.The incidence of peritonitis,laboratory indexes,pathogens and clinical outcomes in different seasons were recorded and analyzed.One-way ANOVA and chi square test were employed to compare the incidence of PDAP and related data in different seasons,and Pearson correlation was used to analyze correlations between PDAP rate and monthly mean temperature and mean humidity.Results During nine years,a total of 119 PD patients occurred 190 times of peritonitis during home PD.The PDAP rate in summer was the highest,0.21 episodes/year,followed by spring (0.16 episodes/year) and autumn (0.16 episodes/risk year),but there was no significant difference among peritonitis rates in four seasons.There were significant positive correlation between monthly mean temperature,monthly mean humidity and the peritonitis rate (mean temperature:r=0.828,P ＜ 0.01;mean humidity r=0.657,P ＜ 0.05).(2) As for bacteria,in Summer the PDAP rate caused by Staphylococcus aureus and Coagulase negative staphylococcus (CoNS),and Gram-negative bacteria was higher than that in other seasons,but there was no statistical difference.There were significant positive correlation between monthly mean temperature,mean humidity and the rate of CoNS peritonitis (mean temperature:r=0.704,P ＜ 0.05;mean humidity:r=0.607,P ＜ 0.05).(3) There were no statistical difference among results of PD related peritonitis in different seasons about general situation,clinical manifestation,causes of peritonitis and laboratory index before peritonitis episodes.PD procedure-related problems were the main cause of peritonitis in summer and autumn.(4) The cure rate of all peritonitis was 90％.The highest cure rate was in autumn and winter,while the lowest cure rate was in summer,but no statistical difference.Among the peritonitis episodes with treatment failure,52.6％ occurred in summer.Conclusions There is some correlation between the rate of PDAP and seasons.Higher temperature and higher humidity were significantly correlated with higher peritonitis rate,especially the rate of CoNS peritonitis.The prognosis of PDAP in summer was relatively poor,with higher proportion of hospitalization and lower cure rate.