Data · dataset · 2026
Academic Stress, Sleep Quality, and Lifestyle Factors Among University Students: A Cross-Sectional Dataset
Listed in Teesside University Research Data Repository
This cross-sectional survey dataset explores the intricate relationships between academic stress, sleep quality, and lifestyle factors among university undergraduate students.
Description
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).
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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.
Links
Where it is published
- DOI doi.org/10.17632/srd3wmjd4r.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/srd3wmjd4r.2 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4206 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Public Health'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |