Data Analytics for Thai Teenager Sleep Quality Check-up

Newer studies[6] have discovered that inadequate sleep has relationships with a wide range of disorders including hypertension, obesity and type-2 diabetes, impaired immune functioning, cardiovascular disease and arrhythmias, mood disorders, neurodegeneration and dementia, and even loneliness. In this study, we highly focus on high school students as the survey[2] conducted by the Ministry of Public Health showed that Thai students about 44.3% tend to have inadequate sleep. With the impact of disorders that could happen in Thai students, we intend to seek other factors that are related to inadequate sleep by calculating Pearson correlation of each feature to the quality of sleep. We conducted this study by making a survey to gather features of Thai students about 330 students in grades 9-12 in many categories including daily habits, physical exercises, participation in school activities, family problems, academic-related info, ST-5(Stress test questionnaire), caffeine drinks, breakfast, gaming, genre of movies, condition of the mattress, , and body mass index. To measure quality of sleep, we applied PSQI[1] (Pittsburgh Sleep Quality Index) scores ranging from 0 to 21 as measurements to classify students who have good quality of sleep and bad quality of sleep.In our study, we have found that there are plenty of factors that are excluded from PSQI but significantly correlated to PSQI scores, especially of our sample space, Thai students. Example factors that have great positive Pearson correlation coefficients - including Addictive substances (0.60), ST5 (0.47), Bored (0.44), etc. Moreover, we have discovered that family problems - including - have negative Pearson correlation coefficients which contradicts past research.