2026-10-12T14:23:27Z https://data.mendeley.com/oai

oai:data.mendeley.com/srd3wmjd4r.2 2026-06-05T21:18:46Z

Nawaz, Shah Academic Stress, Sleep Quality, and Lifestyle Factors Among University Students: A Cross-Sectional Dataset Mendeley Data This cross-sectional survey dataset explores the intricate relationships between academic stress, sleep quality, and lifestyle factors among university undergraduate students. The dataset contains complete responses from 300 students across various major disciplines (including Law, NFE, CSE, EEE, Civil, Pharmacy, and BBA) with zero missing data, capturing 31 distinct variables spanning demographics, academic performance (CGPA), mental health scales, and daily habits. Conducted by Tarek Mahmud from the Department of Business Administration and supervised by Ms. Maria Islam at Daffodil International University, the study operates under three primary hypotheses: first, that poorer subjective sleep quality and shorter nightly sleep durations significantly associate with higher self-reported academic stress, depression, and anxiety (H_1); second, that elevated psychosocial and financial stress negatively impact CGPA and increase behavioral maladaptations like absenteeism (H_2); and third, that robust social support, proper diet, and physical activity serve as positive buffers against high anxiety and depression scores (H_3). Key data insights reveal that 26.33% of the surveyed students experience severe to extreme academic stress levels. Version 2 of this dataset updates the formal authorship and contributor details to guarantee full academic transparency and proper institutional attribution for the research team. Social Sciences Psychology Medicine Public Health Education Ayon, Sadman Mahfuz Arman, Md Shohel Tamim, Mehedi Nur Dataset doi:10.17632/srd3wmjd4r.2 oai:data.mendeley.com/srd3wmjd4r.2 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/srd3wmjd4r 2026-06-05T21:18:46Z