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全面了解饮食与生活方式行为(FUEL)试验:一项队列研究方案,利用数字健康工具对生活方式干预期间的饮食不依从行为进行表型分析。

The Fully Understanding Eating and Lifestyle Behaviors (FUEL) trial: Protocol for a cohort study harnessing digital health tools to phenotype dietary non-adherence behaviors during lifestyle intervention.

作者信息

Goldstein Stephanie P, Mwenda Kevin M, Hoover Adam W, Shenkle Olivia, Jones Richard N, Thomas John Graham

机构信息

Department of Psychiatry and Human Behavior, Weight Control and Diabetes Research Center, The Miriam Hospital/Alpert Medical School of Brown University, Providence, Rhode Island, USA.

Spatial Structures in the Social Sciences, Population Studies and Training Center, Brown University, Providence, Rhode Island, USA.

出版信息

Digit Health. 2024 Aug 21;10:20552076241271783. doi: 10.1177/20552076241271783. eCollection 2024 Jan-Dec.

Abstract

OBJECTIVE

Lifestyle intervention can produce clinically significant weight loss and reduced disease risk/severity for many individuals with overweight/obesity. Dietary lapses, instances of non-adherence to the recommended dietary goal(s) in lifestyle intervention, are associated with less weight loss and higher energy intake. There are distinct "types" of dietary lapse (e.g., eating an off-plan food, eating a larger portion), and behavioral, psychosocial, and contextual mechanisms may differ across dietary lapse types. Some lapse types also appear to impact weight more than others. Elucidating clear lapse types thus has potential for understanding and improving adherence to lifestyle intervention.

METHODS

This 18-month observational cohort study will use real-time digital assessment tools within a multi-level factor analysis framework to uncover "lapse phenotypes" and understand their impact on clinical outcomes. Adults with overweight/obesity ( = 150) will participate in a 12-month online lifestyle intervention and 6-month weight loss maintenance period. Participants will complete 14-day lapse phenotyping assessment periods at baseline, 3, 6, 12, and 18 months in which smartphone surveys, wearable devices, and geolocation will assess dietary lapses and relevant phenotyping characteristics. Energy intake (via 24-h dietary recall) and weight will be collected at each assessment period.

RESULTS

This trial is ongoing; data collection began on 31 October 2022 and is scheduled to complete by February 2027.

CONCLUSION

Results will inform novel precision tools to improve dietary adherence in lifestyle intervention, and support updated theoretical models of adherence behavior. Additionally, these phenotyping methods can likely be leveraged to better understand non-adherence to other health behavior interventions.

TRIAL REGISTRATION

This study was prospectively registered https://clinicaltrials.gov/study/NCT05562427.

摘要

目的

生活方式干预可使许多超重/肥胖个体实现具有临床意义的体重减轻,并降低疾病风险/严重程度。饮食失误,即在生活方式干预中未遵守推荐饮食目标的情况,与体重减轻较少和能量摄入较高有关。饮食失误存在不同“类型”(例如,食用计划外食物、食量过大),行为、心理社会和环境机制可能因饮食失误类型而异。一些失误类型对体重的影响似乎也比其他类型更大。因此,明确失误类型有助于理解和提高对生活方式干预的依从性。

方法

这项为期18个月的观察性队列研究将在多因素分析框架内使用实时数字评估工具,以发现“失误表型”并了解其对临床结果的影响。150名超重/肥胖成年人将参加为期12个月的在线生活方式干预和为期6个月的体重维持期。参与者将在基线、3个月、6个月、12个月和18个月时完成为期14天的失误表型评估期,在此期间,智能手机调查、可穿戴设备和地理位置信息将用于评估饮食失误及相关表型特征。在每个评估期收集能量摄入(通过24小时饮食回顾)和体重数据。

结果

该试验正在进行中;数据收集于2022年10月31日开始,计划于2027年2月完成。

结论

研究结果将为改善生活方式干预中饮食依从性的新型精准工具提供依据,并支持更新后的依从行为理论模型。此外,这些表型分析方法可能有助于更好地理解对其他健康行为干预措施的不依从情况。

试验注册

本研究已在https://clinicaltrials.gov/study/NCT05562427进行前瞻性注册。

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