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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05136872
Other study ID # NUS-IRB-2020-50
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date May 5, 2021
Est. completion date July 2024

Study information

Verified date March 2023
Source National University of Singapore
Contact Rob M van Dam, PhD
Phone +6565164980
Email rob.van.dam@nus.edu.sg
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The aim of this study is to advance understanding of behavioural risk factors for cardiovascular disease and type 2 diabetes in Singapore.


Description:

BACKGROUND: Modifiable risk factors for non-communicable diseases, including unhealthy diets and movement behaviours, 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. AIMS: The aims of this study are to (1) examine patterns of dietary and movement behaviours in real-time as people go about their daily lives, (2) examine how interactions with the social and physical environment influence dietary and movement behaviours, and (3) examine how these patterns differ by ethnicity and other socio-demographic characteristics. METHOD: This is an observational study in free-living participants over 10 consecutive days, with a 9-day follow-up 6 months later. 1500 participants will be recruited from a large prospective cohort study. Real-time data capture strategies will be used: an ecological momentary assessment (EMA) app with global positioning system (GPS) enabled to collect location data, accelerometers to measure movement, and wearable sensors to monitor blood glucose levels. Participants receive six EMA prompts per day to capture information on diet and movement behaviours (physical activity, sedentary behaviour, sleep), and related contextual factors. A second wave of EMA prompts and GPS monitoring will occur 6 months later. Data will be integrated and analysed using generalised linear models to examine associations between behavioural risk factors and contextual determinants.


Recruitment information / eligibility

Status Recruiting
Enrollment 1500
Est. completion date July 2024
Est. primary completion date December 2023
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 21 Years to 69 Years
Eligibility Inclusion criteria: - aged 21 to 69 years of age - citizen or permanent resident of Singapore - of Chinese, Malay, or Indian ethnicity - able to read English - own or have continued access to a smartphone with a data plan - able to use smartphone apps - able to walk independently Exclusion criteria: - history of stroke, heart disease, renal failure, diabetes mellitus, thyroid disease, cancer, or a serious mental health condition (e.g., schizophrenia, depression, or dementia) - have had vascular bypass surgery or angioplasty procedure performed - known sensitivity to medical-grade adhesives - bleeding disorder

Study Design


Locations

Country Name City State
Singapore Saw Swee Hock School of Public Health, National University of Singapore Singapore

Sponsors (2)

Lead Sponsor Collaborator
National University of Singapore Ministry of Health, Singapore

Country where clinical trial is conducted

Singapore, 

References & Publications (1)

Edney SM, Park SH, Tan L, Chua XH, Dickens BSL, Rebello SA, Petrunoff N, Muller AM, Tan CS, Muller-Riemenschneider F, van Dam RM. 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). Digit Health. 2022 Jun 30;8:20552076221110534. doi: 10.1177/20552076221110534. eCollection 2022 Jan-Dec. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Movement behaviours Movement behaviours (i.e., physical activity, sedentary behaviour, sleep) are measured using a wrist-worn accelerometer. continuously for 9 days.
Primary Glucose concentrations Glucose concentrations are measured using a continuous glucose monitor sensor. in 15-minute intervals over 9 days.
Primary Self-reported food intake Self-reported food intake measurement through entering of food items and the social and physical environment of eating via an Ecological Momentary Assessment (EMA) smartphone app. Change in self-reported food intake over time. Data will be collected at 2.5-hour intervals between 8am and 9.30pm over a period of 9 days, and repeated at the 6-month follow-up
Primary Self-reported movement behaviours Self-reported movement behaviours (i.e., physical activity, sedentary behaviour, sleep) through entering of the type and social and physical environment context of activity via an Ecological Momentary Assessment (EMA) smartphone app. Change in self-reported movement behaviours over time. Data will be collected at 2.5-hour intervals between 8am and 9.30pm over a period of 9 days, and repeated at the 6-month follow-up
Primary Self-reported screen time Self-reported screen time through entering of the type of screen used and the purpose and the duration of screen time via an Ecological Momentary Assessment (EMA) smartphone app. Change in self-reported screen time over time. Data will be collected at 2.5-hour intervals between 8am and 9.30pm over a period of 9 days, and repeated at the 6-month follow-up
Secondary Self-reported stress levels Self-reported stress level will be assessed via an Ecological Momentary Assessment (EMA) smartphone app. Data will be collected 6 times per day for 9 days, and repeated at the 6-month follow-up.
Secondary Self-reported fatigue Self-reported fatigue will be assessed via an Ecological Momentary Assessment (EMA) smartphone app. Data will be collected 6 times per day for 9 days, and repeated at the 6-month follow-up.
Secondary Self-reported positive affect Self-reported positive affect will be assessed via an Ecological Momentary Assessment (EMA) smartphone app. Data will be collected 6 times per day for 9 days, and repeated at the 6-month follow-up.
Secondary Self-reported hunger Self-reported hunger will be assessed via an Ecological Momentary Assessment (EMA) smartphone app. Data will be collected 6 times per day for 9 days, and repeated at the 6-month follow-up.
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