1. EVALUATION OF DEPRESSION,
ANXIETY AND STRESS BASED ON
TECHNOLOGY OVERUSE
Thesis Topic

2. CONTRIBUTION
Presenter,
Dr. Ahammad Hossain
Assistant Professor,
Department of CSE,
Varendra University
Supervisor,
Name ID Section Contribution
Md Khalid Sakib 201311096 B Design and Background Study
Sumaya Hannan Shova 201311062 B Introduction and Background Study
Md. Rifat Hasan 201311106 B Application and Background Study

3. The increasing prevalence
of depression, anxiety,
and stress in society.
Potential role of
technology overuse in
exacerbating these issues.
About the topic and
its relevance in
today's digital age.
INTRODUCTION

4.  Technology is everywhere nowadays, and using it
excessively may have negative effects on mental health.
 In Bangladesh, around 16.8% of adults face mental health
issues, and we want to explore how technology overuse
contributes to this.
 There's limited knowledge and discussion about the
impact of technology overuse on mental health in our
country, and I want to help fill that gap for the benefit
of everyone.
 Moreover, excessive technology use can lead to laziness
and neglect of physical health.
BACKGROUND STUDY

5. LITERATURE REVIEW
 Ibrahim TAŞ tested whether depression, anxiety, stress, social support, and resilience have a
significant effect on predicting internet addiction. The study found that depression, anxiety,
and stress were positively associated with internet addiction. [1]
 Anku M. Saikia found a significant association between internet addiction and depression,
anxiety, and stress. The study showed that there was a high prevalence of depression (85.7%)
and anxiety (83.3%) in the participants addicted to the internet. [2]
 Feten Fekih-Romdhane found that technology addiction negatively influences users’ emotional
and social functioning and correlates with the presence of psychopathologies such as
depression and anxiety. [3]
 Miloš Stanković in his article, one view is that psychopathological phenomena, such as
depression and anxiety, may lead to technology overuse [4]

6. OBJECTIVES

7. Pearson Correlation
Coefficient
Statistical Methods and Tests for Data Analysis
Survey Design Participant Recruitment Data Collection
Regression
METHODOLOGY
A statistical test to
analyze associations
between categorical
variables.
Measures the strength
and direction of linear
relationship between
continuous variables.
Predicts categorical
outcomes with multiple
categories based on
independent variables.
Chi-Square Test

8. WORKFLOW DIAGRAM
Result
Data Set
Association Between
Qualitative Data (x2)
Bivariate analysis
Association Between
Quantitative Data (r)
Multivariate
Analysis
Multinomial Logistic
Regression
Multiple Linear
Regression

9. REQUIRED TOOLS
Python
Statistical libraries
(NumPy, Pandas, SciPy,
Stats models), complex
data manipulation, and
visualization.
MS Office
Basic statistical
analysis, simple data
visualization, report
writing.
Statistical Package for
the Social Sciences
Multinomial logistic
regression, binary logistic
regression.
R Language
SVM regression or
Support Vector
Regression (SVR).

10. TIME FRAME
Background Reading ✔️
Proposal Meetings ✔️
Literature Review ✔️
Research method planning ✔️
Data collection ❌
Check on progress ❌
Submit some draft work ❌
Discuss conclusion ❌
Further drafts ❌
Final Meeting ❌
Final draft ❌
10th Semester
Defense - 1
11th Semester
Defense - 2
11th Semester
Defense - 3

11. EXPECTATIONS

12. REFERENCES
[1] Taş, İ., & Istanbul Sabahattin Zaim University. (2019). Association between depression, anxiety, stress,
social support, resilience and internet addiction: a structural equation modelling. Malaysian Online Journal
of Educational Technology, 7(3), 1–10.
[2] Saikia, A. M., Das, J., Barman, P., & Bharali, M. D. (2019). Internet addiction and its relationships with
depression, anxiety, and stress in urban adolescents of Kamrup district, Assam. Journal of Family &
Community Medicine, 26(2), 108–112.
[3] Fekih-Romdhane, F., Jahrami, H., Away, R., Trabelsi, K., Pandi-Perumal, S. R., Seeman, M. V., Hallit, S., &
Cheour, M. (2023). The relationship between technology addictions and schizotypal traits: mediating roles of
depression, anxiety, and stress. BMC Psychiatry, 23(1), 67.
[4] Stanković, M., Nešić, M., Čičević, S., & Shi, Z. (2021). Association of smartphone use with depression,
anxiety, stress, sleep quality, and internet addiction. Empirical evidence from a smartphone application.
Personality and Individual Differences, 168(110342), 110342.
[5] Rashid, S.M. et al. (2021) ‘Prevalence and impact of the use of electronic gadgets on the health of children
in Secondary Schools in Bangladesh: A cross‐sectional study’, Health Science Reports, 4(4).
doi:10.1002/hsr2.388.

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