Testing Self-Report Time-Use Diaries against Objective Instruments in Real Time

Dados Bibliográficos

ID6169740
AutoresJ Gershuny (0000-0001-5011-0257, University of Oxford), Teresa Harms (University of Oxford, autor correspondente), Aiden Doherty (0000-0003-1840-0451, University of Oxford), Emma Thomas (0000-0001-8415-0521, The University of Melbourne), Karen Milton (0000-0002-0506-2214, Lecturer in Public Health, Norwich Medical School, University of East Anglia, UK), Paul Kelly (0000-0003-1946-9848, Institute for Sport, Physical Education and Health Sciences, University of Edinburgh, UK), Charlie Foster (0000-0002-5041-0601, School for Policy Studies, University of Bristol, UK)
Ano2019
Volume50
Fascículo1
Páginas318-349
Data de publicação2019-12-30
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSociological Methodology (JOURNAL)
Identificadores do periódicoISSN: 0081-1750 • E-ISSN: 1467-9531
EditoraSAGE Publishing (PUBLISHER • US)
DOI10.1177/0081175019884591
OpenAlexW2997899648
IdiomaEN
Citações recebidas17
Referências citadas40

This study provides a new test of time-use diary methodology, comparing diaries with a pair of objective criterion measures: wearable cameras and accelerometers. A volunteer sample of respondents ( n = 148) completed conventional self-report paper time-use diaries using the standard UK Harmonised European Time Use Study (HETUS) instrument. On the diary day, respondents wore a camera that continuously recorded images of their activities during waking hours (approximately 1,500–2,000 images/day) and also an accelerometer that tracked their physical activity continuously throughout the 24-hour period covered by the diary. Of the initial 148 participants recruited, 131 returned usable diary and camera records, of whom 124 also provided a usable whole-day accelerometer record. The comparison of the diary data with the camera and accelerometer records strongly supports the use of diary methodology at both the aggregate (sample) and individual levels. It provides evidence that time-use data could be used to complement physical activity questionnaires for providing population-level estimates of physical activity. It also implies new opportunities for investigating techniques for calibrating metabolic equivalent of task (MET) attributions to daily activities using large-scale, population-representative time-use diary studies

Accelerometer · Population · Sample (material · Test (biology · Wearable computer · Behavioral Health and Interventions · Computer Science · Medicine · Physical Activity and Health · Psychology · Urban Transport and Accessibility