Title: Heavy Use of Mobile Phone
Author: Shruti Patil, Priyanka Prajapat, Manish Kharose
Objective: To study the impact of heavy mobile phone usage on individuals’ daily life, health, and productivity.
Introduction: Mobile phones have become an important part of our daily life. People use them for communication, entertainment, and many other activities. However, excessive use of mobile phones is becoming very common. It can affect our health, sleep, concentration, and productivity. Therefore, it is important to understand the impact of overusing mobile phones and learn to use them in a balanced way.
Literature Review
1. Impact of Smartphone Use on Academic Performance
A study by Amez and Baert (2020) reviewed existing research on smartphone use and academic performance among students in higher education. The review analyzed multiple studies and found that frequent smartphone use often leads to lower academic performance and reduced concentration. Students who regularly check their smartphones while studying tend to experience distractions that interrupt learning processes and reduce productivity. The authors concluded that excessive smartphone usage during study time negatively affects students’ academic outcomes and overall learning efficiency.
2. Mobile Phone Addiction and Mental Health
Research by Thomée (2018) examined the relationship between mobile phone use and mental health through a review of previous studies. The findings suggested that excessive mobile phone use is associated with increased symptoms of depression, anxiety, and poor sleep quality. The review also highlighted that mobile phone addiction and mental health problems may influence each other over time, creating a cycle where higher phone usage worsens psychological well-being. The study emphasized the need for balanced smartphone use to reduce potential mental health risks.
Data Collection: For our problem we framed following 5 questions to be asked on Likert’s Scale. Google form was framed with linear option – 1 as Strongly Disagree and 5 as Strongly Agree for each question. The Google form was personally shared with our classmates and colleagues in confidence. After surveying 100 people, responses were downloaded in Excel Sheet. For each question- Mean, Standard Deviation (S.D), Standard Error (S.E) and Z (T State) were calculated.
Survey Questions:
1. I open my social media more than 20 times.
2. My screen time is more than 4 hours.
3. I use my phone during meals.
4. I use my phone after waking up.
5. I use my phone during study/work.
|
Data Analysis |
Q1 |
Q2 |
Q3 |
Q4 |
Q5 |
|
Mean |
3.56
|
3.55
|
2.97
|
3.2 |
3.44 |
|
SD |
1.479284566
|
1.416889466
|
1.487014
|
1.4142136 |
1.335755376 |
|
SE |
0.147928457
|
0.141688947
|
0.148701
|
0.1414214 |
0.133575538 |
|
T state(z) |
3.785613754
|
3.88174246
|
-0.201747
|
1.4142136 |
3.294016314 |
|
Result |
Accept Positively
|
Accept Positively
|
Neutral |
Neutral |
Accept Positively
|
Data Analysis:
1.If T State is greater than 1.96 then accept positively.
2.If T State is between 1.96 and -1.96, then the result is neutral.
3.If T State is less than -1.96 then accept negatively.
Conclusion:
1.People open social media more than 20 times.
2.People’s screen time is more than 4 hours.
3.People are neutral towards using phone during meals.
4.People are neutral towards using phone after waking up.
5.People use phone during study/work.
References:
Amez, S., & Baert, S. (2020). Smartphone use and academic performance: A literature review. Computers in Human Behavior Reports, 1, 100003.
Thomee, S. (2018). Mobile phone use and mental health: A review of the research that takes a psychological perspective on exposure. International Journal of Environmental Research and PublicHealth,15(12),2692.