Kim Youngwon, Godino Job G, Cheung Flora Lai Tung, Multhaup Michael, Chan Derwin King Chung K C, Chen Ziyuan, Ho Harrison Hin Sheung, Tse Tsz Him Timothy, Au Yeung Shiu Lun Ryan, Lou Shan, Zhang Joni H, Wang Mengyao, Chung Brian, Griffin Simon
School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
Exercise and Physical Activity Resource Center, Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California, USA.
BMJ Open. 2024 Dec 4;14(12):e082635. doi: 10.1136/bmjopen-2023-082635.
The communication of information about the risk of type 2 diabetes (T2D) alone has not been associated with changes in habitual behaviours among individuals of European ancestry. In contrast, the use of wearable devices that monitor physical activity (PA) has been associated with behavioural changes in some studies. It is uncertain whether risk communication might enhance the effects of wearable devices. We aim to assess the effects of communicating genetic risk for T2D alone or in combination with wearable device functions on wearable device-measured PA among overweight or obese East Asians.
In a parallel group, randomised controlled trial, 355 overweight or obese East Asian individuals aged 40-60 years are allocated into one of three groups: one control and two intervention groups. Blood samples will be used for estimation of T2D genetic risk and analysis of metabolic risk markers. Genetic risk of T2D will be estimated based on 113 single-nucleotide polymorphisms associated with T2D among East Asians. All three groups receive a Fitbit device. Both intervention groups will receive T2D genetic risk estimates along with lifestyle advice, but one of the intervention groups additionally uses Fitbit's step goal setting and prompt functions. Questionnaires and physical measurements are administered at baseline, immediately after intervention delivery, and 6 and 12 months post intervention. The primary outcome is time spent in moderate-to-vigorous PA from the Fitbit, which will be assessed at baseline, immediately post intervention, 12 months post intervention and at 6-month follow-up. Secondary outcomes include other wearable device-measured parameters, sedentary time, and sleep, blood pressure, metabolic risk markers, hand grip strength, self-reported PA, fruit and vegetable consumption, smoking, and psychological variables. Between-group differences in the continuous and categorical variables collected at baseline will be examined using Analysis of Variance (ANOVA) and χ tests, respectively. A series of linear mixed effects models with fixed effects of time, group and interaction between time and group will be performed, with adjustment for potential confounders.
The study protocol has undergone review and received approval from the ethics committee of the University of Hong Kong. Findings from our trial will be disseminated through publication in peer-reviewed research journals and presented at international academic conferences.
ClinicalTrials.gov, NCT05524909. https://register.
gov/ (11 November 2024).
仅传达2型糖尿病(T2D)风险信息与欧洲血统个体的习惯行为改变并无关联。相比之下,在一些研究中,使用监测身体活动(PA)的可穿戴设备与行为改变有关。尚不确定风险沟通是否会增强可穿戴设备的效果。我们旨在评估单独传达T2D遗传风险或与可穿戴设备功能相结合对超重或肥胖东亚人群中可穿戴设备测量的PA的影响。
在一项平行组随机对照试验中,355名年龄在40至60岁的超重或肥胖东亚个体被分为三组之一:一组为对照组,两组为干预组。血液样本将用于估计T2D遗传风险和分析代谢风险标志物。T2D遗传风险将基于与东亚人T2D相关的113个单核苷酸多态性进行估计。所有三组均会收到一个Fitbit设备。两个干预组都将获得T2D遗传风险估计以及生活方式建议,但其中一个干预组还额外使用Fitbit的步数目标设定和提醒功能。在基线、干预交付后立即、干预后6个月和12个月进行问卷调查和身体测量。主要结局是Fitbit记录的中度至剧烈PA的时长,将在基线、干预后立即、干预后12个月以及6个月随访时进行评估。次要结局包括其他可穿戴设备测量的参数、久坐时间、睡眠、血压、代谢风险标志物、握力、自我报告的PA、水果和蔬菜摄入量、吸烟情况以及心理变量。对于基线时收集的连续变量和分类变量,组间差异将分别使用方差分析(ANOVA)和χ检验进行检验。将进行一系列具有时间、组以及时间与组之间交互作用的固定效应的线性混合效应模型,并对潜在混杂因素进行调整。
研究方案已通过审查并获得香港大学伦理委员会的批准。我们试验的结果将通过在同行评审研究期刊上发表以及在国际学术会议上展示进行传播。
ClinicalTrials.gov,NCT05524909。https://register.
gov/(2024年11月11日)。