Center on Smart and Connected Health Technology, School of Nursing, UT Health San Antonio, San Antonio, TX, United States of America.
College of Nursing, Florida State University, Tallahassee, FL, United States of America.
Contemp Clin Trials. 2022 Aug;119:106845. doi: 10.1016/j.cct.2022.106845. Epub 2022 Jul 7.
The obesity epidemic is a public health concern, as it is associated with a variety of chronic conditions. The ketogenic diet has drawn much scientific and public attention. However, implementation is challenging and its effect on cardio-renal-metabolic health is inconclusive. This study will assess the feasibility, acceptability, and preliminary efficacy of a technology-assisted ketogenic diet on cardio-renal-metabolic health.
This is a single center, 6-month, stratified, randomized controlled trial. A total of 60 overweight/obese adults (18+ years old) will be enrolled, including 20 without type 2 diabetes (T2D) and without chronic kidney disease (CKD); 20 with T2D, but without CKD; and 20 with early-stage CKD. Participants will be stratified based on health conditions and randomized into a ketogenic diet (n = 30) or a low-fat diet group (n = 30). Health education involving diet and physical activity will be delivered both digitally and in-person. Mobile and connected health technologies will be used to track lifestyle behaviors and health indicators, as well as provide weekly feedback. The primary outcome (weight) and the secondary outcomes (e.g., blood pressure, glycemic control, renal health) will be assessed with traditional measurements and metabolomics.
Mobile and connected health technologies provide new opportunities to improve chronic condition management, health education attendance, planned lifestyle changes and engagement, and health outcomes. The advancement of bioinformatics technology offers the possibility to profile and analyze omics data which may advance our understanding of the underlying mechanisms of intervention effects on health outcomes at the molecular level for personalized and precision lifestyle interventions.
肥胖症是一个公共健康问题,因为它与多种慢性疾病有关。生酮饮食引起了广泛的科学和公众关注。然而,实施起来具有挑战性,其对心肾代谢健康的影响尚无定论。本研究将评估一种技术辅助生酮饮食对心肾代谢健康的可行性、可接受性和初步疗效。
这是一项单中心、6 个月、分层、随机对照试验。总共将招募 60 名超重/肥胖成年人(18 岁以上),包括 20 名没有 2 型糖尿病(T2D)和慢性肾脏病(CKD)的患者;20 名患有 T2D 但没有 CKD 的患者;和 20 名早期 CKD 患者。根据健康状况对参与者进行分层,并随机分为生酮饮食组(n=30)或低脂饮食组(n=30)。将通过数字和面对面的方式提供涉及饮食和体育活动的健康教育。移动和互联健康技术将用于跟踪生活方式行为和健康指标,并提供每周反馈。主要结局(体重)和次要结局(如血压、血糖控制、肾脏健康)将通过传统测量和代谢组学进行评估。
移动和互联健康技术为改善慢性病管理、健康教育参与度、计划的生活方式改变和参与度以及健康结果提供了新的机会。生物信息学技术的进步提供了对组学数据进行分析的可能性,这可能有助于我们从分子水平上深入了解干预对健康结果的潜在机制,从而为个性化和精准的生活方式干预提供支持。