Edney Sarah Martine, Park Su Hyun, Tan Linda, Chua Xin Hui, Dickens Borame Sue Lee, Rebello Salome A, Petrunoff Nick, Müller Andre Matthias, Tan Cheun Seng, Müller-Riemenschneider Falk, van Dam Rob M
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Digit Health. 2022 Jun 30;8:20552076221110534. doi: 10.1177/20552076221110534. eCollection 2022 Jan-Dec.
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.
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.
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.
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.
非传染性疾病的可改变风险因素，包括不健康饮食和缺乏身体活动，受到人与社会及物理环境之间复杂动态相互作用的影响。因此，了解这些风险因素在现实生活中的模式和决定因素对于设计精准公共卫生干预措施至关重要。
本文描述了亚洲行为风险因素连续观察研究（COBRA）的方案。该研究使用实时数据采集方法，以全面了解饮食和运动行为，包括这些行为如何因社会人口学特征而异，以及如何受到人们与社会及物理环境相互作用的影响。
COBRA是一项在自由生活条件下的观察性研究。我们将从一项大型前瞻性队列研究中招募1500名21 - 69岁的成年人。将连续九天使用实时数据采集方法：一款带有全球定位系统的生态瞬时评估应用程序，用于收集位置数据；加速度计用于测量运动；可穿戴传感器用于监测血糖水平。参与者在上午8点至晚上9点30分之间每天接受六次EMA调查，以获取有关行为风险因素的信息，包括饮食行为、饮食成分、运动行为（身体活动、久坐行为、睡眠）以及相关的背景因素。六个月后将发送第二轮带有全球定位系统的生态瞬时评估调查。将使用广义线性模型分析数据，以检验行为风险因素与背景决定因素之间的关联。
本研究的结果将增进我们对现实生活中饮食和运动行为的理解，并为预防慢性病的个性化干预措施的制定提供信息。
