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: 10643699
• 负责人: FRANCESCA M GANY
• 金额: $ 74.43万
• 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/10643699
• 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; Diet; Environment; Essential worker; Expectancy; Health; Health Benefit; Health Fairs; Healthcare Systems; Hybrids; Immigrant; Individual; Intake; Intervention; Interview; Knowledge; Lead; Licensing; Link; Literature; Mediation; Mediator; 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; behavior change; cancer health disparity; cancer risk; cardiovascular disorder risk; care outcomes; community organizations; community setting; cost; cost estimate; design; diabetes prevention program; effectiveness study; effectiveness/implementation hybrid; experience; health care availability; health care service; health disparity; health inequalities; hybrid type 1 design; implementation intervention; implementation science; implementation strategy; implementation study; 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(围绕饮食和体力活动实现优化)是一种有效性- 使用多阶段优化策略(MOST)实现混合类型1设计 在日益增长的、面临风险的、多语种的低社会经济中解决超重和肥胖危机 身份(SES)，难以接触，主要是移民和少数基本工人人口： 出租车和出租车辆(FHV)司机(Lyft、Uber等)。MOST是一个创新的框架，涉及 评估个体化治疗效果的高效随机试验 用于引导组装实现目标结果的优化治疗包的组件 以最低的资源消耗和参与者负担。杂交试验，它混合了 有效性和实施研究，可以带来更快的翻译理解和更多 有效实施。美国有超过75万名有执照的出租车和FHV司机， 纽约市(NYC)有超过18.5万人。他们超重/肥胖的比率更高。 体重指数(BMI)高于纽约人(77%比56%)，而且有很高的升高率 腰围、久坐行为、不良饮食和保健服务未得到充分利用。 肥胖，一种共同的心血管疾病和癌症风险，及其后果影响少数人 和不成比例的低社会经济地位人群。可修改的因素，如身体不活动， 复合型司机的肥胖风险。虽然有很多证据表明有效的多元生活方式 干预措施侧重于非少数群体的减肥，如糖尿病预防 计划(DPP)和展望未来，这些计划并不是设计成可翻译到 在社区环境中传播，被认为过于昂贵和繁重，无法广泛传播。 关于如何为少数族裔(他们已经受益)优化这些方法的数据很少 比非西班牙裔白人更少的减肥计划)，以减少参与者的负担和成本 但仍能带来有意义的减肥。涉及实施潜力的文献更少 以及此类干预的战略。路线图建立在我们独特的前期工作和 使用混合型1设计和MOST，以弥补这些差距。路线图将测试4 基于证据和理论(社会认知理论[SCT])的行为改变干预 组件，由斯隆·凯特琳移民健康与癌症纪念馆开发和试行 差异中心，其中包括DPP和展望功能。我们将使用MOST来 确定以下4种成分中哪些对减肥最有意义且最具成本效益 在工作场所健康博览会(HFs)和虚拟世界招募的纽约市司机中。目标是 最适用于为出租车/FHV设计可扩展的生活方式干预的优化版本 驱动因素，然后进行混合方法的多利益相关者过程评估 促进广泛干预措施的实施。