Nutritional, Sleep, and Quality-of-Life Changes During Ramadan Fasting, 282 Participants
by Eftal Geçgil Demir·Updated 1mo ago
99.0 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
282 healthy adults were studied in a prospective longitudinal comparative study, with data collected one week before, in the middle, at the end, and two weeks after Ramadan. The dataset, authored by Eftal Geçgil Demir and last updated in May 2026, compares fasting and non-fasting groups on body weight, dietary intake, daytime sleepiness, physical activity, and quality of life.
Use Cases
Analyzing changes in total energy and macronutrient intake across Ramadan phases based on dietary intake data mentioned in the description
Modeling the relationship between fasting status and daytime sleepiness scores based on Epworth Sleepiness Scale assessments
Comparing physical activity levels between fasting and non-fasting groups before, during, and after Ramadan
Investigating differences in quality-of-life domains, such as physical and emotional role functioning, using SF-36 scores
Strengths
Prospective longitudinal design with data collected at four distinct time points
Comparative study of 282 participants divided into fasting and non-fasting groups
Measures multiple interrelated health and lifestyle factors: nutrition, sleep, activity, and quality of life
Limitations
Column-level documentation is absent; field semantics must be inferred after download
Row count is unknown, which may limit suitability assessment
Data is stored in a 99.0 KB PDF file, which may require extraction for analysis
Provenance
Source
figshare
Collection Method
Prospective longitudinal comparative study with data collected via assessments at four phases relative to Ramadan.
Time Range
Data collection occurred one week before, in the middle, at the end, and two weeks after Ramadan.
Freshness
Last updated 2026-05-04 05:30:40; freshness should be verified
Geography
null
Data is provided as a PDF file (99.0 KB), which may require conversion or manual data extraction for computational analysis.