Please use this identifier to cite or link to this item: https://doi.org/10.1177/20552076221110534
Title: Advancing understanding of dietary and movement behaviours in an Asian population through real-time monitoring: Protocol of the Continuous Observations of Behavioural Risk Factors in Asia study (COBRA)
Authors: Edney, Sarah Martine
Park, Su Hyun 
Tan, Linda 
Chua, Xin Hui 
Dickens, Borame Sue Lee 
Rebello, Salome A 
Petrunoff, Nick
Muller, Andre Matthias
Tan, Cheun Seng
Mueller-Riemenschneider, Falk 
van Dam, Rob M 
Keywords: Science & Technology
Life Sciences & Biomedicine
Health Care Sciences & Services
Health Policy & Services
Public, Environmental & Occupational Health
Medical Informatics
Precision health
personalised health
chronic disease
experience sampling
ambulatory assessment
socio-ecological
ecologically valid
ECOLOGICAL MOMENTARY ASSESSMENT
PHYSICAL-ACTIVITY RESEARCH
NEIGHBORHOOD WALKABILITY
SEDENTARY BEHAVIOR
HEALTH
VALIDITY
ADULTS
FOOD
QUESTIONNAIRE
ASSOCIATIONS
Issue Date: 1-Jul-2022
Publisher: SAGE PUBLICATIONS LTD
Citation: Edney, Sarah Martine, Park, Su Hyun, Tan, Linda, Chua, Xin Hui, Dickens, Borame Sue Lee, Rebello, Salome A, Petrunoff, Nick, Muller, Andre Matthias, Tan, Cheun Seng, Mueller-Riemenschneider, Falk, van Dam, Rob M (2022-07-01). Advancing understanding of dietary and movement behaviours in an Asian population through real-time monitoring: Protocol of the Continuous Observations of Behavioural Risk Factors in Asia study (COBRA). DIGITAL HEALTH 8. ScholarBank@NUS Repository. https://doi.org/10.1177/20552076221110534
Abstract: Background: Modifiable risk factors for non-communicable diseases, including eating an unhealthy diet and being physically inactive, are influenced by complex and dynamic interactions between people and their social and physical environment. Therefore, understanding patterns and determinants of these risk factors as they occur in real life is essential to enable the design of precision public health interventions. Objective: This paper describes the protocol for the Continuous Observations of Behavioural Risk Factors in Asia study (COBRA). The study uses real-time data capture methods to gain a comprehensive understanding of eating and movement behaviours, including how these differ by socio-demographic characteristics and are shaped by people's interaction with their social and physical environment. Methods: COBRA is an observational study in free-living conditions. We will recruit 1500 adults aged 21–69 years from a large prospective cohort study. Real-time data capture methods will be used for nine consecutive days: an ecological momentary assessment app with a global positioning system enabled to collect location data, accelerometers to measure movement, and wearable sensors to monitor blood glucose levels. Participants receive six EMA surveys per day between 8 a.m. and 9.30 p.m. to capture information on behavioural risk factors including eating behaviours and diet composition movement behaviours (physical activity, sedentary behaviour, sleep), and related contextual factors. The second wave of ecological momentary assessment surveys with a global positioning system enabled will be sent 6 months later. Data will be analysed using generalised linear models to examine associations between behavioural risk factors and contextual determinants. Discussion: Findings from this study will advance our understanding of dietary and movement behaviours as they occur in real-life and inform the development of personalised interventions to prevent chronic diseases.
Source Title: DIGITAL HEALTH
URI: https://scholarbank.nus.edu.sg/handle/10635/230761
ISSN: 20552076
20552076
DOI: 10.1177/20552076221110534
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Advancing understanding of dietary and movement behaviours in an Asian population through real-time monitoring Protocol of t.pdf907.41 kBAdobe PDF

OPEN

PublishedView/Download

Page view(s)

25
checked on Sep 29, 2022

Download(s)

1
checked on Sep 29, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.