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Effects of a higher protein diet and resistance training on fat free mass retention during weight loss in adults over 50: A Pilot Sequential Multiple Assignment Randomized Trial

Effects of a higher protein diet and resistance training on fat free mass retention during weight loss in adults over 50: A Pilot Sequential Multiple Assignment Randomized Trial
高蛋白饮食和阻力训练对 50 岁以上成年人减肥期间无脂肪质量保留的影响:一项试点序贯多重分配随机试验
批准号:
10369646
负责人:
Richard Drew Sayer
金额:
$12.94万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-03-10 至 2026-02-28

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PROJECT SUMMARY/ABSTRACT Dr. Sayer’s career goal is to become an independent translational obesity scientist at the University of Alabama at Birmingham (UAB) with a research program focused on the development of pragmatic and adaptive weight loss interventions that can be rapidly implemented in clinical and community settings. The proposed K01 training plan and research project will provide the knowledge, skills, and abilities to launch his independent research career in pursuit of his long-term goals. Dr. Sayer’s training plan includes a combination of formal didactic training available through the UAB Center for Outcomes and Effectiveness Research and Education (directed by Dr. Kenneth Saag, Co-Mentor) as well as rigorous hands-on and personalized training through the NIH National Rehabilitation Research Resource to Enhance Clinical Trials (directed by Dr. Marcas Bamman, Co-Mentor), UAB Nutrition Obesity Research Center (directed by Dr. James Hill, Primary Mentor), and UAB Comprehensive Center for Health Aging (directed by Dr. Cynthia Brow, Co-Mentor). The proposed K01 research is a pilot Sequential Multiple Assignment Randomized Trial (SMART) using a high protein diet and resistance training to promote the retention of fat free mass during weight loss in men with obesity aged 50 and older. The primary objectives of the research are to provide critical preliminary data on 1) the feasibility of conducting a full-scale SMART, 2) estimates of intervention effects and their variances, and 3) moderators or predictors of intervention responsiveness that may serve as tailoring variables for a full-scale SMART. Dr. Sayer will leverage data and training resulting from the proposed K01 to successfully compete for R01-level research funding to develop and rigorously evaluate a full-scale SMART designed to construct an optimal adaptive treatment strategy using a HP diet and RT for preventing and/or treating sarcopenic obesity.
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