Sedentary Behavior and Eating Habits Among 433 Bangladeshi University Students

A de-identified dataset of 433 undergraduate and postgraduate students from the University of Chittagong, Bangladesh, collected in August 2025. The data, gathered via a structured questionnaire, covers fast food consumption, eating habits, sedentary behavior, lifestyle factors, and sociodemographics. It was released by MOHAMMAD OMAR NURSHAD in April 2026 under a CC-BY-4.0 license.

Use Cases

• Predict fast food consumption frequency based on sedentary behavior and sociodemographic variables.
• Analyze moderation effects of residential status on the relationship between eating habits and dietary outcomes.
• Replicate ordinal logistic regression analyses examining predictors of sugary beverage consumption.
• Study associations between screen time, physical activity, and meal timing patterns.

Strengths

• Dataset is fully de-identified with ethical approval (BIIHR-2025-021) and informed consent documented.
• Includes 433 student records with variables covering multiple lifestyle and sociodemographic domains.
• Provided in multiple formats (SPSS .sav and .csv) with a codebook for variable definitions.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic and temporal context (one Bangladeshi university in August 2025).

Provenance

Source

figshare, author MOHAMMAD OMAR NURSHAD.

Collection Method

Data collected using a structured self-administered questionnaire.

Time Range

August 2025.

Freshness

Last updated 2026-04-15 17:56:25; freshness should be verified.

Geography

University of Chittagong, Bangladesh.