Related Experiment Video
Updated: Dec 13, 2025

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
Published on: July 24, 2017
How Does Time Use Differ between Individuals Who Do More versus Less Foodwork? A Compositional Data Analysis of Time
Chloe Clifford Astbury1,2, Louise Foley3, Tarra L Penney1,2
1MRC Epidemiology Unit, Centre for Diet and Activity Research (CEDAR), Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0QQ, UK.
Background:
Increased time spent on home food preparation is associated with higher diet quality, but a lack of time is often reported as a barrier to this practice. We compared time use in individuals who do more versus less foodwork (tasks required to feed ourselves and our households, including home food preparation).
Methods:
Cross-sectional analysis of the UK Time Use Survey 2014-15, participants aged 16+ (N = 6143). Time use over 24 h was attributed to seven compositional parts: personal care; sleep; eating; physical activity; leisure screen time; work (paid and unpaid); and socialising and hobbies. Participants were categorised as doing no, 'some' (<70 min), or 'more' foodwork (≥70 min). We used compositional data analysis to test whether time-use composition varied between these participant groups, determine which of the parts varied between groups, and test for differences across population subgroups.
Results:
Participants who spent more time on foodwork spent less time on sleep, eating, and personal care and more time on work. Women who did more foodwork spent less time on personal care, socialising, and hobbies, which was not the case for men.
Conclusion:
Those who seek to encourage home food preparation should be aware of the associations between foodwork and other activities and design their interventions to guard against unintended consequences.
Related Concept Videos
Quantifying Work
Cross-Sectional Research
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Noncompartmental Analysis: Mean Residence Time
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...

