Authors: Praveena Subramanian, Sathvika Shetty, Samyukta Ankat
Introduction
Late sleeping has become a common habit among students due to academic pressure, excessive screen time, and entertainment consumption.
Irregular sleep schedules can negatively affect physical health, emotional well-being, and daily productivity.
Lack of proper sleep often leads to fatigue, poor concentration, and mood disturbances.
Over time, late sleeping can reduce academic performance and overall quality of life.
Understanding this issue is essential to promote healthier sleep habits and better well-being.
Objective
To understand the underlying phenomena of Late Sleeping
Literature Review
1. Research on university students aged around 20 years shows that poor sleep habits, including irregular bedtimes and short sleep duration, are associated with lower academic performance; students with evening chronotypes and unhealthy sleep schedules are more likely to have poor grades. Such sleep patterns also contribute to increased stress levels and difficulty in maintaining focus during academic activities.
2. College students who use electronic devices for entertainment before bedtime are more likely to experience poor sleep quality, which significantly mediates the negative impact of screen use on academic performance. This suggests that late bedtime screen habits can indirectly reduce academic outcomes by harming sleep. Poor sleep quality further leads to daytime fatigue and reduced concentration among students, affecting their overall learning efficiency.
Data Collection
To understand the underlying phenomena of the problem – Late Sleeping, the following questions were framed with Likert scale.
Question 1 – I sleep later than midnight on most days.
Question 2 – I use my phone/laptop before sleeping every night.
Question 3 – I feel my productivity reduces due to late sleeping.
Question 4 – I compromise sleep to complete academic work.
Question 5 – I feel my mood is affected when I sleep late.
A google form was framed with the above questions on 5-point scale and responses were coded as 5 – Strongly Agree, 4 – Agree, 3 – Neutral, 2 – Disagree and 1 – Strongly Disagree. Data was downloaded as an Excel sheet and for every question, Mean, Standard Deviation, Standard Error and t-stat (z) were calculated
Data Analysis
|
Q1 |
Q2 |
Q3 |
Q4 |
Q5 |
|
|
Mean |
3.17 |
3.71 |
3.22 |
3.45 |
3.63 |
|
Standard Deviation |
1.38 |
1.23 |
1.23 |
1.08 |
1.19 |
|
Standard Error |
14 |
0.12 |
0.12 |
0.11 |
0.12 |
|
T-stat |
1.23 |
5.8 |
1.79 |
4.18 |
5.27 |
Result
Question 1: (t-stat = 1.23): Since the t-stat lies between −1.96 and 1.96, the response is neutral.
Question 2: (t-stat = 5.80): As the t-stat is greater than 1.96, the statement is positively accepted (agree).
Question 3: (t-stat = 1.79): The t-stat falls between −1.96 and 1.96, hence the response is neutral.
Question 4: (t-stat = 4.18): The t-stat exceeds 1.96, so the statement is positively accepted (agree).
Question 5: (t-stat = 5.27): Since the t-stat is greater than 1.96, the response is positively accepted (agree).
Conclusion
Question 1: People feel neutral about whether sleeping later than midnight is a common habit among them.
Question 2: People agree that they use their phone or laptop before sleeping almost every night.
Question 3: People are unsure whether late sleeping directly reduces their productivity.
Question 4: People agree that they compromise their sleep to complete academic work.
Question 5: People agree that their mood is negatively affected when they sleep late.
Reference
Fernández-Medina, I., et al. (2021). Relationship between sleep habits and academic performance in university nursing students. BMC Nursing.
Mao, X., et al. (2022). Mediating effect of sleep quality on the relationship between pre-bedtime screen media use and academic performance among college students. Sleep and Academic Performance Journal.