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Prevalence of Eating Disorders and Their Association with Depression, Anxiety, and Stress Among School and College Students in Bangladesh
Prevalence of Eating Disorders and Their Association with Depression, Anxiety, and Stress Among School and College Students in Bangladesh
📅 Duration: January 2024 – August 2024
🏢 Affiliation: CHIRAL Bangladesh
👨🔬 Collaborator: Md. Jubayer Hossain, Department of Microbiology, Jagannath University
📝 Project Synopsis:
This cross-sectional study investigates the prevalence of eating disorders and their correlation with mental health issues—specifically depression, anxiety, and stress—among school and college-going students in Bangladesh. Using validated tools such as the DASS-21 (Depression, Anxiety, and Stress Scale) and EAT-26 (Eating Attitudes Test), data were collected from approximately 1,200 students.
The study aims to identify patterns and associations that can guide educational institutions, healthcare providers, and policymakers in addressing adolescent mental health challenges. The results are expected to contribute valuable insights into preventive measures and interventions for youth well-being in Bangladesh.
🧪 Skills Applied:
Data Collection & Management
Statistical Data Analysis
Use of DASS-21 and EAT-26 Scales
R Programming
Scientific Writing
Mental Health Research
📚 Publication (Under Review): Manuscript submitted to Scientific Reports and currently under peer review.
A Study on Milk Adulteration and Methods of Detection of Adulterants Using Qualitative Methods in Dhaka City, Bangladesh
A Study on Milk Adulteration and Methods of Detection of Adulterants Using Qualitative Methods in Dhaka City, Bangladesh
📅 Duration: August 2023 – January 2024
🏢 Affiliation: Pabna University of Science and Technology
👨🔬 Collaborator: Md. Ashraful Islam, Lecturer, Department of Pharmacy, Pabna University of Science and Technology
📝 Project Synopsis:
This study involved the collection of twelve milk samples from local stores representing nine different companies in Dhaka city. The samples were analyzed qualitatively to detect common adulterants. Results revealed the presence of sugar, detergent, and salt in all samples, maltodextrin in eight samples, sulfate salt in five samples, and neutralizer in three samples.
The research provides critical insights into the prevalence of milk adulteration and evaluates simple qualitative techniques for detecting these contaminants, aiming to raise awareness and improve food safety standards.
🧪 Skills Applied:
Sample Collection
Qualitative Research Methods
📚 Publication (In Progress): Manuscript preparation is underway for submission to a relevant journal.
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