Taxi ROADmAP (Realizing Optimization Around Diet And Physical activity)

出租车 ROADmAP（实现饮食和身体活动优化）

• 批准号: 10344795
• 负责人: FRANCESCA M GANY
• 金额: $ 75.22万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-11 至 2027-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10344795
• 关键词: Address; Adoption; Affect; Attitude; Behavior; Behavioral; Belief; Blood Pressure; Body Weight decreased; Body mass index; Cardiovascular Diseases; Cholesterol; Cognitive; Communities; Consolidated Framework for Implementation Research; Consumption; Counseling; Data; Development; Diabetes prevention; Diet; Environment; Essential worker; Expectancy; Face; Health; Health Fairs; Healthcare Systems; Hybrids; Immigrant; Individual; Intake; Intervention; Interview; Knowledge; Lead; Link; Literature; Mediation; Mediator of activation protein; Methods; Minority; Minority Groups; Monitor; Multilingualism; New York City; Not Hispanic or Latino; Obesity; Occupational; Outcome; Outcome Study; Overweight; Participant; Persons; Physical activity; Population; Randomized; Resources; Risk; Self Efficacy; Surveys; Telephone; Testing; Text Messaging; Translations; Unhealthy Diet; Weight; Work; Workplace; base; behavior change; cancer health disparity; cancer risk; cardiovascular disorder risk; care outcomes; community organizations; community setting; cost; cost estimate; design; diabetes prevention program; effectiveness implementation study; efficacy outcomes; experience; health care availability; health care service; health disparity; health inequalities; hybrid type 1 design; implementation intervention; implementation science; implementation strategy; improved; incremental cost-effectiveness; innovation; intervention delivery; lifestyle intervention; low socioeconomic status; multiphase optimization strategy; nutrition; obesity risk; obesity treatment; physical inactivity; primary outcome; process evaluation; programs; recruit; secondary outcome; sedentary lifestyle; social cognitive theory; theories; tool; treatment optimization; uptake; virtual; virtual environment; waist circumference; weight loss intervention; weight loss program

Project Summary Taxi ROADmAP (Realizing Optimization Around Diet And Physical activity) is an effectiveness- implementation hybrid type 1 design using the Multiphase Optimization Strategy (MOST) to address the overweight and obesity crisis in a growing, at-risk, multilingual low socioeconomic status (SES), hard-to-reach, predominantly immigrant and minority essential worker population: taxi and for-hire vehicle (FHV) drivers (Lyft, Uber, etc.). MOST, an innovative framework, involves highly efficient randomized experimentation to assess the effects of individual treatment components to guide assembly of an optimized treatment package that achieves target outcomes with the lowest resource consumption and participant burden. Hybrid trials, which blend effectiveness and implementation studies, can lead to more rapid translational uptake and more effective implementation. There are over 750,000 licensed taxi and FHV drivers in in the U.S. and over 185,000 in New York City (NYC). They have higher rates of overweight/obese range body mass index (BMI) than New Yorkers in general (77% vs 56%) and have high rates of elevated waist circumference, sedentary behavior, poor diets, and health care services underutilization. Obesity, a shared cardiovascular disease and cancer risk, and its consequences affect minority and low SES populations disproportionately. Modifiable factors, such as physical inactivity, compound drivers’ obesity risk. While there is much evidence on effective multicomponent lifestyle interventions focused on weight loss in non-minority populations, such as the Diabetes Prevention Program (DPP) and Look AHEAD, these programs were not designed to be translatable to community settings and are considered too expensive and burdensome to be widely disseminated. There is a paucity of data on how to optimize such approaches for minorities (who have benefitted less from weight loss programs than non-Hispanic whites), to reduce participant burden and costs but still lead to meaningful weight loss. Even less literature addresses implementation potential and strategies for such interventions. ROADmAP builds on our unique preliminary work and uses a hybrid type 1 design and MOST, to address these gaps. ROADmAP will test 4 evidence- and theory-based (Social Cognitive Theory [SCT]) behavior change intervention components, developed and piloted by the Memorial Sloan Kettering Immigrant Health and Cancer Disparities Center, and which include DPP and Look AHEAD features. We will use MOST to identify which of the 4 components contribute most significantly and cost-effectively to weight loss among NYC drivers recruited at workplace health fairs (HFs) and virtually. Objectives are to apply MOST to design an optimized version of a scalable, lifestyle intervention for taxi/FHV drivers, and then to conduct a mixed methods multistakeholder process evaluation to facilitate widespread intervention implementation.

项目摘要 出租车路线图（实现饮食和体育锻炼的优化）是有效的 - 实施使用多相优化策略（大多数）的实施混合类型1设计 在不断增长的，高风险的多语言社会经济中解决超重和肥胖危机 地位（SES），难以到达，主要是移民和少数族裔基本工人人口： 出租车和租用车辆（FHV）驾驶员（Lyft，Uber等）。大多数是一个创新的框架，涉及 高效的随机实验，以评估个体治疗的影响 指导组件的组件，以达到目标结果的优化处理套件 资源消耗最低和参与的伯恩。混合试验，融合 有效性和实施研究可以导致更快的转化吸收和更多 有效的实施。美国有超过750,000名许可的出租车和FHV司机 纽约市（纽约市）超过185,000。他们具有更高的超重/肥胖范围体型 总体质量指数（BMI）总体上比纽约人（77％vs 56％），并且高率高 腰围，久坐行为，饮食不良和医疗服务不足。 肥胖症，一种共同的心血管疾病和癌症风险，其后果影响少数 和低SES种群不成比例。可修改的因素，例如身体不活跃， 复合司机的肥胖风险。虽然有很多证据表明有效的多组分生活方式 干预措施的重点是非少数人群的体重减轻，例如预防糖尿病 计划（DPP），展望未来，这些程序的设计不是可以翻译成 社区环境，被认为太昂贵且易碎了，无法广泛传播。 关于如何优化少数民族的这种方法的数据很少（他们受益 减肥计划的少于非西班牙裔白人），以降低参与的燃烧和成本 但仍会导致有意义的体重减轻。甚至较少的文献解决了实施潜力 和此类干预措施的策略。路线图建立在我们独特的初步工作的基础上 使用混合类型1设计，最多可解决这些差距。路线图将测试4 基于证据和理论的（社会认知理论[SCT]）行为改变干预 由纪念斯隆·凯特（Sloan kettering）的移民健康与癌症（Cancer）开发和驾驶的组成部分 差异中心，其中包括DPP和向前的功能。我们将最多使用 确定4个组件中的哪些组件最大程度地贡献了减肥 在工作场所健康博览会（HFS）招募的纽约驾驶员中，实际上是在纽约驾驶员中。目标是 将大多数应用用于设计针对出租车/FHV的可扩展，生活方式干预的优化版本 驱动程序，然后进行混合方法，多方利益相关者流程评估 促进宽度的干预实施。