Study On Association Of Wechat Use And Sleep Quality Among Nursing Students In Some College

BackgroundAlong with the rapid development of current social science and technology,all kinds of online communication software emerge in endlessly.In numerous new media,WeChat is undoubtedly one of the most popular stars.As the development of the mobile Internet,"favorite",with its unique WeChat communication modern charm gradually gained favor.Since the birth of the WeChat,the number of users has exceeded 600 million,as well as the growing trend.As an advanced mobile communications hotspot,the appearance of We chat slightly changed the original letter of social networking and communication patterns.Having the courage to try new things,college students have become the backbone among the group of using WeChat.With its features of real time,accuracy,privacy and its novel and distinctive function,WeChat has attracted a large number of users in the group of college students successfully.New technologies bring new changes and convenience to our lives,but also accompanied by new problems,Wechat is no exception.Bringing the total decline in the quality of sleep is one of effects of Wechat.Nursing students,as the important use group of WeChat,on the one hand,they are under heavy pressure of study,and on the other hand,they are at a critical stage of physical and mental development.All of these make them vulnerable to the influence of various aspects and lead to the emergence of sleep problems.But influence of the Wechat to sleep and the relative factors among students majoring in medicine have not been reported in literature.ObjectivesTo understand the specific Wechat using conditions and sleep quality among nursing students in a college of Jinan.Analyze the effects of Wechat to sleep among the medicine students,and the related factors were disused also.The major purpose is to provide the scientific basis for using Wechat scientifically and sleep improvement.MethodsAll undergraduate students in a college of Jinan were researched.The extractions using stratified cluster sampling were surveyed using the questionnaire we designed.Investigation contents include basic situation of the students?the use cases of Wechat?study conditions?Pittsburgh Sleep Quality Index and so on.Firstly.the basic situation of the students?the use cases of Wechat and sleep condition were analyzed by using the descriptive statistic analysis.Secondly,completerandomized analysis of variance was conducted to discuss the relationship between different factors and sleep quality.Thirdly,multivariate stepwise regression was used to conduct multi-factor analysis of the influential factors of sleep quality.Results1.The total average PSQI score of 1701 nursing students was(6.85±2.12)..The number whose sleep condition were good were 211(12.4%);there were 897 persons(52.7%)whose sleep quality at a moderate level;and the number of students who have poor sleep quality were 393(34.9%).The factor scores in the overall quality of sleep by an average score of the right of the major small order as follows:daytime dysfunction accounting for PSQI total score of 23.01%,a score of(1.59±0.834);sleep quality accounting for PSQI total score of 21.42%,score is(1.48±0.741);Sleep Latency accounted for PSQI total score of 17.51%,a score of(1.21 ±0.729);sleep disorders accounted for PSQI total score of 15.20%,a score of(1.05±0.551);sleep time accounted for PSQI total score of 12.88%,a score of(0.89±0.540);sleep efficiency accounting for PSQI total score of 8.25%,a score of(0.57±0.934);hypnotic drugs accounted for PSQI total score of 1.73%,a score of(0.12±0.506).2.Different level?whether WeChat is used before fall sleep?whether taking a nap were statistically significant difference between sleep quality;Different source of the household registration?whether WeChat is used before fall sleep?whether play WeChat games?the variation in grades?physical exercise?health condition were statistically significant difference between Sleep Latency;Different grade?level?How long has WeChat been used?online time?school record?health condition?Whether taking a nap were statistically significant difference between sleep time;Different level?family economic status?video communication?smoking were statistically significant difference between sleep efficiency;Different grade?physical exercise?smoking were statistically significant difference between sleep disorders;whether WeChat is used before fall sleep and school record were statistically significant difference between hypnotic drugs;Different level?whether WeChat is used before fall sleep?the variation in grades were statistically significant difference between daytime dysfunction;school record?health condition and smoking were statistically significant difference between the total score of PSQI.3.The factors that have significant significance in sleep quality factor were analyzed by multiple regression,the factors into the regression equation were as follows:WeChat games and whether taking a nap;The factors that have significant significance in sleep Latency factor were analyzed by multiple regression,the factors into the regression equation were as follows:health condition and source of the household registration;The factors that have significant significance in sleep time factor were analyzed by multiple regression,the factors into the regression equation were as follows:level?health condition?school record?grade and the duration to use WeChat.The factors that have significant significance in sleep efficiency factor were analyzed by multiple regression,the factors into the regression equation was level;The factors that have significant significance in sleep disorders and hypnotic drugs factors were analyzed by multiple regression,all the factors were rejected;The factors that have significant significance in daytime dysfunction factor were analyzed by multiple regression,the factors into the regression equation was level;The factors that have significant significance in the total PSQI score were analyzed by multiple regression,the factors into the regression equation were as follows:health condition?level and whether taking a nap.Conclusions1.The sleep quality among nursing students was generally poor.If's a serious problem that needs to be solved.2.The sleep quality of the nursing students who using WeChat was associated with demographic characteristics(grade?level?source of the household registration?family economic status)?using habit of WeChat(duration to use WeChat?online time?whether WeChat is used before fall sleep?Video Communication?WeChat games)?study state(school score?the variation in grades)and life style(physical exercise?health condition?whether taking a nap and smoking).The several aspects we mentioned above should be paid attention to improve the sleep quality of nursing students.