Objective To identify the measurement time,assessment tools,changing trends,factors in longitudinal studies on post stroke fatigue.Methods Web of Science,PubMed,CINAHL,Embase,CNKI,CBM,Wanfang,and VIP database were retrieved from inception until December 15,2024.Results A total of 41 papers were included.The measurement time points used with high frequency were 3,6,and 12 months after stroke.10 assessment tools were retrieved and the fatigue severity scale was most selected.The majority of the studies supported that the incidence of post stroke fatigue showed a decreasing trend within 6 months after stroke,an increasing trend from 6 to 12 months,and a decreasing or steady decreasing trend from 12 months.Post stroke fatigue is influenced by demographic,disease,physiologic,psychological,and coping factors.Conclusion The longitudinal studies on post stroke fatigue focused less than 1 year after stroke,but the recovery period is understudied and specific assessment tools need to be further explored.The trend of post stroke fatigue varies at different stages and exists heterogeneity.Future studies should be optimized to explore influence factors.

Objective To identify the measurement time,assessment tools,changing trends,factors in longitudinal studies on post stroke fatigue.Methods Web of Science,PubMed,CINAHL,Embase,CNKI,CBM,Wanfang,and VIP database were retrieved from inception until December 15,2024.Results A total of 41 papers were included.The measurement time points used with high frequency were 3,6,and 12 months after stroke.10 assessment tools were retrieved and the fatigue severity scale was most selected.The majority of the studies supported that the incidence of post stroke fatigue showed a decreasing trend within 6 months after stroke,an increasing trend from 6 to 12 months,and a decreasing or steady decreasing trend from 12 months.Post stroke fatigue is influenced by demographic,disease,physiologic,psychological,and coping factors.Conclusion The longitudinal studies on post stroke fatigue focused less than 1 year after stroke,but the recovery period is understudied and specific assessment tools need to be further explored.The trend of post stroke fatigue varies at different stages and exists heterogeneity.Future studies should be optimized to explore influence factors.

Objective:To explore the relationship between mobile phone addiction and perceived stress, negative emotion, social support and psychological capital in college students, especially to clarify the internal mechanism of these variables.Methods:A total of 836 college students were investigated with mobile phone addiction index scale, positive psychological capital questionnaire, stress perception scale, positive and negative emotion scale and perceived social support scale.SPSS 22.0 software was used for correlation analysis and SPSS-PROCESS was used to analyze the mediating effect and moderating effect.Results:(1)The scores of psychological capital and perceived stress were(123.38±17.96)and(38.76±6.39)respectively, and the scores of negative emotion, social support and mobile phone addiction were(22.46±6.45), (63.36±12.40)and(39.31±10.01)respectively.Psychological capital was negatively correlated with perceived stress, negative emotion and mobile phone addiction( r=-0.66, -0.37, -0.28, all P<0.01).Perceived stress was positively correlated with negative emotion and mobile phone addiction( r=0.50, 0.38, both P<0.01).Social support was positively correlated with psychological capital( r=0.50, P<0.01), while negatively correlated with perceived stress, negative emotion and mobile phone addiction( r=-0.41, -0.30, -0.12, all P<0.01).(2)Psychological capital influenced mobile phone addiction by the mediating effect of perceived stress( β=-0.20, SE=0.03, 95% CI: -0.27--0.13).In addition, psychological capital influenced mobile phone addiction through the chain mediating effect of perceived stress and negative emotion( β=-0.04, SE=0.01, 95% CI: -0.06--0.01).Moreover, the mediating effect of psychological capital on stress perception was moderated by social support. Conclusion:Perceived stress and negative emotion are important mediations between psychological capital and mobile phone addiction.Social support can moderate the effect of psychological capital on perceived stress.