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.