SUBJECT APPLIED ECONOMETRICS TOPIC factors influencing undergraduates’sleep in ho chi minh city

UEH UNIVERSITY COLLEGE OF ECONOMICS, LAW AND GOVERNMENT DEPARTMENT OF ECONOMICS FINAL RESEARCH REPORT SUBJECT: APPLIED ECONOMETRICS TOPIC: Factors influencing undergraduates’sleep in Ho Chi Minh City Instructor: Nguyễn Quang Term Code: 22C1ECO50106704 Group: – Classes: IVC03+VAC01 TP Hồ Chí Minh, 11/11/2022 TIEU LUAN MOI download : skknchat123@gmail.com moi nhat MEMBERS GROUP NUMBER FULL NAME STUDENT ID Nguyễn Huy Hoàng Nguyễn Bảo Nhã Phương 31211021593 31211024620 PERCENT OF COMPLETION 100% 100% Nguyễn Thị Thảo Nguyễn Lê Thi Thi Nguyễn Hoàng Phúc Thiện 31211022646 31211025378 31211025008 100% 100% 100% Trần Thanh Trúc 31211026391 100% Trịnh Bích Tuyền Nguyễn Trần Hồng Yến 31211025881 31211026115 100% 100% TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city ABSTRACT: This study estimates and examines the factors affecting the sleep of students in Ho Chi Minh City, expressed in the number of hours of bedtime per night of students, can draw conclusions and reinforce the reader's understanding of the importance of sleep The results showed that those who had a lot of study time had fewer hours of bedtime The time of commuting to work in a student's day or leisure time such as surfing the web, watching movies also negatively affects the number of hours of bedtime From the results, students can arrange their study, part-time and leisure time accordingly to be able to both complete work and ensure health Keywords: sleep, students, health, study, entertainment TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city TABLE OF CONTENTS CHAPTER I: INTRODUCE Significance of the Study: Purpose of research: Subjects, scope, survey units .5 CHAPTER II: THEORY OVERVIEW Related Concepts: Body functions and activities during sleep: Factors affecting sleep: CHAPTER III: RESEARCH METHODS 1.Sampling method: .6 2.Research process: 3.Survey questions: 4.Analysis results: 5.Quantitative and qualitative research results: 6.Research scale: Suggested model: .9 7.1 Model and variables in the model: .9 7.2 Comments on the variables in the model: 12 CHAPTER IV: RESEARCH RESULTS 17 Variable descriptive statistics: 17 Regression results: 19 Multicollinearity test 23 Heteroscedasticity test by the Breusch-Pagan test: .23 Testing for autocorrelation by Breusch-Godfrey test: 24 CHAPTER V: CONCLUSION 24 Conclusion: .24 Limitations of the study: 25 Some recommendations for future research: 25 REFERENCES 26 TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city CHAPTER I: INTRODUCE Significance of the Study: Staying up late has almost become a difficult habit for the majority of young people today in general and students in particular The question is, what students "stay up late" for? And how often? But for whatever reason, staying up is still an unhealthy habit and causes a lot of damage to our physical and mental health According to statistics, each of us needs to spend up to 36% of our lives sleeping This means that if you live to be 70 years old, the sleep time will be more than 25 years This intangible generally says that sleep is an important norm in our lives But now many websites propagate false ideas about sleep, they attribute sleep as a manifestation of laziness, wasting time, the less sleep will be more successful, The truth is, if you understand your body's sleep and sleep correctly and get enough sleep will enhance long-term memory as well as better academic productivity In 1942, less than 8% of the nightly population slept only hours or less In 2017, this number accounted for half According to the statistics of scientists around the world, insomnia costs the UK economy more than £30 billion in profits each year, or 2% of GDP If you drive after sleeping less than hours, you are 4.3 times more likely to have an accident If you drive after sleeping for hours, you are 11.5 times more likely to have an accident These horrific numbers show us the consequences of people depriving themselves of sleep, especially in adolescence Ho Chi Minh City has more and more 24-hour cafes such as Three O'clock, Thuc coffee, OFA coffee, At 11 pm, just go to these cafes, most of the customers are full, most of the customers are from 17-30 years old Each individual here has their own job such as going with friends, surfing the web, watching movies, playing games, the remaining few study, read books , but it can be seen that staying up late is becoming more and more common among many people, especially young people and especially students Therefore, it is extremely necessary to study the sleep quality of young people Youth have a huge advantage in health wear, but if not maintained and preserved, very quickly negative effects will appear But if we are aware of and appreciate sleep early, we can study and work more efficiently, with a clearer, sharper mind Stemming from the above reasons, our group chose the topic "The situation of students staying up late in Ho Chi Minh City and affecting health" to study Purpose of research: - Learn about the current state of students staying up late in HCMC - The extent, nature, scale of staying up late - Recognize the factors that influence students' staying up late - Effects of staying up late on human health and giving advice (positive and negative influences) - Propose remedies, give the right advice against the effects of staying up late on students today TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city - Subjects, scope, survey units Target audience: All students in HO CHI MINH CITY Scope: Ho Chi Minh City Survey unit: Group of students of Applied Econometric class CHAPTER II: THEORY OVERVIEW Related Concepts: - Student concept: Students are those between the ages of 18-25, have graduated from high school and are enrolled in a program at one (or more) University or College - The concept of staying up late: According to recommendations from the National Organization for Sleep Support and Self-Assessment, people aged 18-25 (students) require 7-9 hours of sleep per day Clinically, 23 hours is the time when the body begins to enter the detoxification and recovery phase Therefore, from a biological point of view, if you stay up past 22:30, you will be considered as staying up late Under normal circumstances, 22:30 pm to 6:30 am is the best time to sleep, by sleeping at the right time, you can ensure that the organs are working at their most stable state, then the body is in a healthy biological clock Body functions and activities during sleep: "Sleep must serve a very important function, which has led to its persistence throughout evolution," said Dr David Raizen, an associate professor of neurology at the University of Pennsylvania in the US "Sleep time is when the brain and body work a lot, bringing good effects to health The body works during sleep through two stages: + NREM - non-rapid eye movement stage (accounting for 75-80% of sleep): the stage when the brain is less responsive to external stimuli At this stage, the body enters the process of deep sleep, thinking and functions inside the body show signs of slowing down, so the process of regeneration and repair of cells inside the body is carried out at this stage this + REM - Rapid eye movement (accounting for 20-25% of our sleep) at this stage, your eyes will move back and forth at the back of the eyelids The body will fall into a state of stillness, but your pulse system, internal body temperature, breathing rate and blood pressure will rise above daytime levels At this stage, dreams are somewhat more vivid and more emotional Brain Activity: As we fall asleep, our brains experience a pattern of brain waves known as "spinal rotation," which, according to the Sleep Foundation, we don't fully understand yet, but are thought to be “plays a role in learning and integrating new memories.” The axes of the spine may also play a role in ensuring we stay asleep even when our brains are exposed to external stimuli According to a 2019 study in the journal Science, when we sleep, our brains even wash themselves in a mixture of TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city PATI STIMULANT -0.334 (0.001)*** 0.123 0.152 R-Squared 0.8496 Adjusted R-Squared 0.8389 F-Stat 79.4 Số quan sát (Observations) 183 (The regression coefficients are tested by t-test, the symbols *, **, *** indicate that the regression coefficients are statistically significant at the 5%, 1%, and 1% significance levels, respectively 0.1% ) The above regression results from RStudio software gave the estimated results of the factors affecting the number of hours of sleep per night of students according to the OLS regression method The model estimation results in Table 4.2 show that many variables have signs as expected The variable body index (BMI) has a negative beta coefficient as expected of the group, but it is not statistically significant when there is a standard error of 0.166>0.05 Thus, it can be understood that while we expect that for every unit increase in BMI, the number of sleep hours of students will decrease, but in reality, there are many factors that cause BMI to increase and sleep is poor one of all The variable age of students (AGE) has a negative coefficient like the expectation that we have set, but it is not statistically significant (0.985 > 0.05) This means that, one would expect that, in adolescence, people with older age will also decrease the quality of sleep and the number of hours of sleep, but the reality is complicated The variable number of hours students study in a day (STUDY) has negative coefficients as expected and has high statistical significance (1%) This means that the more hours students study a day, the fewer hours they sleep And the fact has also proved that, because they are students, most of them often spend their time studying Their lives revolve around fixed daily schedules and assignment deadlines So most of 20 TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city the time spent studying and going to bed does not differ much between days So when they spend more time studying, they sleep less and vice versa The variable of leisure hours of students in a day (ENTERTAINMENT) has a negative coefficient as we expected and has a high level of statistical significance (1%) This means that if students spend more time on leisure, their sleep hours will decrease In fact, recent surveys also show that the time spent using social networks (Facebook, Tiktok, Instagram, Twitter, etc.) in a day of Vietnamese youth is on average hours per day, a rather high number This number is even higher than the average student sleep time of about 60 minutes The phenomenon of unscientific use of social networks and excessive abuse has reduced students' sleep hours and caused a lack of alertness and distraction during the day The gender dummy variable of students (GENDER) has a negative sign contrary to expectations and is not statistically significant This is not true with previous studies and reality Because according to research by Professor Daniel Forger, male students often sleep less than female students And in fact, women tend to be more concerned about their health and beauty than men, and as a result, women tend to live longer than men according to annual demographic statistics Student's bedtime variable (START) has negative coefficient as expected but not statistically significant This means that when students go to bed between 10pm and 2pm, there will be a decrease in the number of hours of sleep But in fact, there are many students who go to bed late, but their daily sleep hours are still guaranteed 7-8 hours a day, still not reduced even though after waking up they feel tired, mentally exhausted not alert and easily distracted The health problems dummy variable (HEALTH) has a negative sign as expected but is not statistically significant This means that, when students have health problems, the number of sleep hours will be reduced Our expectation is that a healthy body, without psychological pressure, will operate in accordance with the biological cycle, sleep on time, wake up on time, increase the number of hours of sleep each night A person who cares about his health cannot ignore the importance of getting enough sleep This sounds reasonable, but in reality, psychological pressure is not a fixed state, it always fluctuates a lot when students are about to have tests, exams, internships, but not at other times Human mood is an unpredictable, always abnormal, so there are many influencing factors that make the problem complicated, it is difficult to assess the impact of healthrelated problems such as stress , psychological pressure, on the number of hours of sleep per night of students Habitat dummy variable (EVR_CHANGES) has negative coefficient as expected but not statistically significant This means, we expect that living away from home, moving into dormitories, motel rooms, etc will make it difficult for students to sleep, thereby reducing the number of hours of sleep, but the reality is very complicated Living away 21 TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city from home, hours, comfortable life, having many new friends also makes the spirit much better Thereby making sleep deeper, alertness and concentration are also higher Dummy variable sleep habits late (HABIT) has a positive coefficient contrary to expectations but not statistically significant This is not true to reality Because today, due to the pressure of study and work, students often have to stay up all night to complete assignments and work on time During that process, most students feel stressed, so they tend to want to relieve themselves after completing assignments by surfing the web, Tiktok, watching movies, and day by day, that inadvertently forms a habit of staying up late for students The surrounding relationships dummy variable (RELATIONSHIP) has negative coefficients as expected but is not significant statistics This means that we would expect that spending time on social networks would reduce the number of hours a student slept each day, but the reality is sometimes different This means that, for students living away from home, it is a pleasure to spend time with family Being relieved of nostalgia and life pressure, their spirits will become much better after each conversation And for students, friends are also a place to vent, comfort and share with each other, help each other overcome psychological barriers, thanks to those conversations, life pressure is also reduced so many We think that spending time on social relationships will reduce the number of hours of sleep, but in fact sometimes thanks to those conversations, it is easier and deeper to fall asleep, mentally excited much more shocking If students are under academic pressure, need a place to talk but don't spend time for social relationships, just keep quiet despite the growing pressure, it will create stress, for harder sleep, fewer hours of sleep, and less deep sleep The part-time dummy variable (PATI) has a negative coefficient as expected and has high statistical significance (5%) This means that, when students work part-time, their sleep hours will also decrease Part-time jobs now seem to be quite familiar to students, earning extra income for themselves Most students choose to work the evening shift and the morning is for studying Thus, exactly as the view of scientists at the Institute of Sleep Medicine, Harvard Medical School have shown The stimulant dummy variable (STIMULANT) has a positive coefficient that is not as expected and is also not statistically significant (0.152>0.05) Thus, although there is no statistical significance, the positive number in the regression coefficient tells us to pay attention to some studies in the world when the results say that: " Despite the wellknown acute effects of caffeine on sleep, habitual use of up to cups of coffee (or 600 mg of caffeine equivalent) per day was not associated with decreased duration of sleep.” The fit of the model is 83.9% (based on Adjusted R2), i.e 83.9% of the variation of HOURS can be explained by the above 11 independent variables, and 16.1% of the variation of HOURS can be explained is thanks to other variables that the study has not mentioned such as sleeping position, living with parents, etc Thus, there are a number 22 TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city of other factors affecting the number of hours of sleep per night of students that the model model This is not mentioned Multicollinearity test The coefficient of variance (Variance Inflation Factors) has the function of measuring the correlation and the strength of the correlation between the predictor variables in the regression model Therefore, to test the phenomenon of multicollinearity, we will rely on the variance exaggeration factor VIF About the financial industry; personnel; economy; science; social… : then the VIF coefficient will be compared with Specifically: If VIF < 2, there is no multicollinearity, and if VIF > 2, multicollinearity occurs From the above regression results, we see that the VIF of all variables is less than Thus, the above regression model has absolutely no multicollinearity phenomenon Heteroscedasticity test by the Breusch-Pagan test: The success of the Goldfeld-Quandt test depends not only on the value of c (the number of observations in the middle that are discarded) but also on the correct identification of the variable X with which to order the observations This limitation of the test can be overcome if we consider the Breusch-Pagan-Godfrey (BPG) test With the above test, if p-value >5%, the hypothesis Ho is accepted: The model has uniform variance or constant variance; if p-value 0.05 From there, we accept the hypothesis Ho, uniform variance or in other words, the model has constant variance Testing for autocorrelation by Breusch-Godfrey test: The autocorrelation of higher orders and applicable whether the regressors include the lag of the dependent variable or not is called the Breusch-Godfrey test With the above test, if p-value >5%, the hypothesis Ho is accepted: The model has no autocorrelation phenomenon; if p-value 0.05 From there, we accept the hypothesis Ho, that is, the above model does not have autocorrelation CHAPTER V: CONCLUSION Conclusion: After performing the regression and the model's tests, we can conclude that the factors of learning, entertainment, and part-time work are the main factors that directly affect the model, which is consistent with the current situation Currently, when factors such as schoolwork, the direct influence of the light of the phone or TV screen or the attractiveness of entertainment programs on social networks, the time spent at work is directly affecting on sleep and sleep time of the sample of 183 students participating in the survey, this influence on sleep quality is one of the major causes affecting the results of operational productivity and the productivity of the economy Recognizing the harmful effects of the above situation on sleep quality in general and health in particular, our team would like to propose some measures to improve the sleep quality of students as follows: - Arrange a reasonable study schedule according to each individual's schedule - Do not use TVs, phones, devices that emit blue light before sleeping at least 30 minutes to avoid your brain perceiving that light source as sunlight, tricking it to delay sleep - Turn your bedroom into a dark, quiet and cool oasis Set your thermostat somewhere between low to medium and use blackout curtains or a white noise machine to further relax your senses - Go to bed and wake up at the same times every day Following a consistent sleep schedule helps your brain know when to sleep and when to wake up Adults usually sleep from 7-9 hours every night Make a habit of relaxing before going to bed Choose activities that help you relax and calm down, like taking a warm bath, listening to an audiobook, or journaling Doing these activities in the same order each night creates a pattern for your brain to recognize them as a prelude to sleep - Limit caffeine and alcohol intake Both of these substances can stay in your system for a while and disrupt the quality of your sleep Avoid alcohol within three hours of bedtime and caffeine within five hours 24 TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city Limitations of the study: The first limitation of the study is that sampling is related to HCM Cityity area and the large number of survey participants are 2nd and 3rd year students and the survey sample is not really large generalization is not high The second limitation is related to the reliability of the data, this survey data cannot avoid errors in the process of answering questions, in some cases, incorrect information may be declared The truth leads to data errors, deviations from reality partly because this survey is conducted in an online form, leading to misunderstanding of survey participants compared to the author's intention to ask The third limitation and also the biggest limitation, this survey was conducted by a group of students from UEH due to lack of experience in surveying and questioning, so the group's research has not been rigorous and there are many shortcomings in the implementation process Some recommendations for future research: This study can be the basis for other studies in the future, encouraging further studies to select a more accurate survey sample 25 TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city REFERENCES: HIỆN TRẠNG THỨC KHUYA CỦA SINH VIÊN CỦA KTX ĐHQG TP.HCM (n.d.) 123doc Retrieved November 4, 2022, from https://123docz.net/document/238643-hie-n-tra-ngthu-c-khuya-cu-a-sinh-vien-cu-a-ktx-dhqg-tphcm.htm Giấc ngủ hàng năm Mỹ Thăm dò ý kiến kết nối với Sử dụng Công nghệ Truyền thông Giấc ngủ (n.d.) gov-civil-aveiro.pt https://vi.gov-civil-aveiro.pt/annual-sleep-america-pollexploring-connections-with-communications-technology-use Dang, G N (2019, December 5) Các yếu tố ảnh hưởng đến số ngủ đêm sinh viên Trường Đại học Kinh tế Quốc dân https://www.academia.edu/41196654/C %C3%A1c_y%E1%BA%BFu_t%E1%BB%91_%E1%BA%A3nh_h %C6%B0%E1%BB%9Fng_%C4%91%E1%BA%BFn_s%E1%BB%91_gi%E1%BB %9D_ng%E1%BB%A7_m%E1%BB%97i_%C4%91%C3%AAm_c%E1%BB %A7a_sinh_vi%C3%AAn_Tr%C6%B0%E1%BB%9Dng_%C4%90%E1%BA%A1i_h %E1%BB%8Dc_Kinh_t%E1%BA%BF_Qu%E1%BB%91c_d%C3%A2n? fbclid=IwAR0ra4vjVCMSHAgO8FEPJKMhvYbST9uoDRDSkQDA75kBCQgcU4mk087sAc Vũ, H (2022, October 16) Nguyên nhân thức khuya gây béo phì: Làm để bạn ngủ sớm hơn? • Hello Bacsi https://hellobacsi.com/an-uong-lanh-manh/beo-phi/thuc-khuya-gaybeo-phi/?fbclid=IwAR0Ce7XNcGjN02R20lqnqhZHa6iF58HcccTTP3PmvGIJgZlcwaJD5QhbbU Dang, G N (2020, March 24) Chất lượng giấc ngủ niên Việt Nam địa bàn thành phố Hà Nội https://www.academia.edu/42305711/Ch%E1%BA%A5t_l %C6%B0%E1%BB%A3ng_gi%E1%BA%A5c_ng%E1%BB%A7_c%E1%BB %A7a_thanh_ni%C3%AAn_Vi%E1%BB%87t_Nam_tr%C3%AAn_ %C4%91%E1%BB%8Ba_b%C3%A0n_th%C3%A0nh_ph%E1%BB%91_H 26 TIEU LUAN MOI download : skknchat123@gmail.com moi nhat SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city SUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.citySUBJECT.APPLIED.ECONOMETRICS.TOPIC.factors.influencing.undergraduates’sleep.in.ho.chi.minh.city