Taxi STEP (Social networks, Technology, and Exercise through Pedometers)

Taxi STEP（社交网络、技术和通过计步器锻炼）

• 批准号: 9251895
• 负责人: FRANCESCA M GANY
• 金额: $ 55.98万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-01 至 2020-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9251895
• 关键词: African; American; Area; Bangladesh; Behavior; Blood Pressure; Body mass index; Cardiovascular Diseases; Cardiovascular system; Chicago; Colon Carcinoma; Communities; Community Health; Community Networks; Country; Diabetes Mellitus; Diet; Disease; Dominican Republic; Education; Effectiveness of Interventions; Environmental Exposure; Exercise; Food; Funding; Goals; Gryllidae; Haiti; Health; Health Fairs; Health Promotion; Health Services Accessibility; Healthcare; High Density Lipoproteins; Home environment; Hypertension; Hypertriglyceridemia; Immigrant; India; Insulin Resistance; Intervention; Interview; Japan; LDL Cholesterol Lipoproteins; Learning; Liquid substance; Malignant Neoplasms; Malignant neoplasm of lung; Methodology; Methods; Minority; Monoclonal Antibody R24; Myocardial Infarction; Needs Assessment; New York City; Occupational; Occupations; Pakistan; Pathway Analysis; Physical activity; Policies; Population; Prevalence; Principal Investigator; Process; Questionnaires; Randomized Controlled Trials; Research; Research Infrastructure; Research Project Grants; Resource Sharing; Resources; Risk; Risk Factors; Risk Reduction; Safety; Sampling; San Francisco; Services; Smoking; Soccer; Social Network; Social support; Stress; Structure; Technology; Text; Time; Translating; Vendor; Vulnerable Populations; Washington; Work; arm; cancer risk; cardiovascular disorder risk; community based participatory research; compare effectiveness; cost; disorder prevention; effectiveness measure; exercise intervention; health care availability; health disparity; improved; informant; intervention program; mHealth; male; metropolitan; mortality; news; outreach; personalized approach; programs; public health relevance; sedentary; sedentary lifestyle; teacher; waist circumference

 DESCRIPTION (provided by applicant): Taxi drivers are a marginalized, large, growing, minority male population with multiple health risks. In New York City (NYC) alone, there are over 50,000 yellow taxi drivers and a similar number of livery drivers. A large majority, 94%, are immigrants, mainly originating from India, Bangladesh, Pakistan, the Dominican Republic, Haiti, and West African countries. Taxi drivers are at great risk for poor health, with increased cardiovascular disease (CVD) and overlapping cancer risk, due to an extremely sedentary lifestyle, high stress, diet, environmental exposures, poor health care access, and safety concerns. Studies in Japan show a higher taxi driver prevalence of myocardial infarction, multi-vessel disease and CVD risk factors (body mass index (BMI), diabetes, smoking, low-density lipoprotein cholesterol levels, and hypertension. Sedentary time is associated with increased CVD mortality, higher triglycerides and insulin resistance, and lower high-density lipoprotein levels, and with increased colon and lung cancer risk. The taxi driver community, while facing tremendous health risk, also has notable assets within it to facilitate driver health. Ten percent of a sample of NYC taxi drivers were teachers in their home countries and there are numerous drivers who held health-related jobs before immigrating. The drivers, through their existing social networks, exchange information about traffic, food vendors, cricket and soccer games, and other news. Their networks have the potential to disseminate health risk reduction information and strategies. Over the past three years, the NIMHD-funded R24 program, the Taxi Network, has developed a robust community-based participatory research (CBPR) infrastructure, which it has utilized to conduct a number of path-breaking pilot translational CBPR research projects. The overall goal of the current Taxi Network proposal, Taxi STEP (Social networks, Technology, and Exercise through Pedometers), is to expand the robust Taxi Network CBPR infrastructure, which taps into the many assets of the taxi driver community, to work towards the elimination of health disparities in this large at-risk group. Taxi STEP is the first full project of the Taxi Network, and is a physical activity promoting, and hence a CVD/cancer risk reduction, study developed through an ongoing, iterative process with the community, built upon extensive preliminary work in this area. Taxi STEP will use an Intervention Mapping approach to effect an increase in physical activity among drivers, and secondarily other healthful behaviors, and will be evaluated using the RE- AIM framework. A randomized controlled trial (RCT) will be used to measure the effectiveness of four different approaches to increasing step counts. The 4 arms include: 1) Health Fairs (HF) + pedometers (PED) (Control); 2) HF/PED + text messaging (mHealth); 3) HF/PED + social network support (SNS); 4) HF/PED + mHealth + SNS. The costs of each approach will also be determined, and a plan to disseminate best practices to the North American taxi driver population will be developed.

 描述(由申请人提供)：出租车司机是一个边缘化的、庞大的、不断增长的少数族裔男性人口，具有多种健康风险。仅在纽约市(NYC)，就有超过5万名黄色出租车司机和类似数量的制服司机。绝大多数(94%)是移民，主要来自印度、孟加拉国、巴基斯坦、多米尼加共和国、海地和西非国家。出租车司机健康状况不佳的风险很大，心血管疾病(CVD)增加，癌症风险重叠，原因是极端久坐的生活方式、高压力、饮食、环境暴露、糟糕的医疗保健机会以及安全问题。日本的研究表明，出租车司机心肌梗死、多支血管疾病和心血管危险因素(体重指数(BMI)、糖尿病、吸烟、低密度脂蛋白胆固醇水平和高血压)的患病率更高。久坐时间与心血管疾病死亡率的增加、甘油三酯和胰岛素抵抗的增加、高密度脂蛋白水平的降低以及结肠癌和肺癌的风险增加有关。出租车司机群体在面临巨大健康风险的同时，也拥有促进司机健康的显著资产。在纽约市出租车司机的抽样调查中，有10%的人是本国的教师，还有许多司机在移民前从事与健康相关的工作。司机们通过他们现有的社交网络，交换有关交通、食品供应商、板球和足球比赛以及其他新闻的信息。它们的网络有可能传播减少健康风险的信息和战略。在过去的三年里，NIMHD资助的R24项目-出租车网络-开发了一个强大的基于社区的参与性研究(CBPR)基础设施，并利用该基础设施开展了许多开创性的试验性转化性CBPR研究项目。目前出租车网络提案的总体目标是扩大强大的出租车网络CBPR基础设施，该基础设施利用出租车司机社区的许多资产，努力消除这一庞大的高危群体的健康差距。出租车步骤是出租车网络的第一个完整项目，是一项促进体力活动，因此是一项通过与社区不断迭代的过程开发的心血管疾病/癌症风险降低研究，建立在这一领域广泛的前期工作基础上。出租车步骤将使用干预地图方法来增加司机的体力活动，其次是其他健康行为，并将使用RE-AIM框架进行评估。随机对照试验(RCT)将被用来衡量增加步数的四种不同方法的有效性。这四个手臂包括：1)健康博览会(HF)+计步器(PED)(控制)；2)HF/PED+短信(MHealth)；3)HF/PED+社交网络支持(SNS)；4)HF/PED+mHealth+SNS。还将确定每种方法的成本，并将制定一项向北美出租车司机群体传播最佳做法的计划。