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Leveraging cell phone location data to measure interactions with the food environment and associated health outcomes

利用手机位置数据来衡量与食品环境的相互作用以及相关的健康结果

基本信息

批准号：
10453259
负责人：
Pablo Monsivais
金额：
$ 19.13万
依托单位：
WASHINGTON STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-22 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10453259
关键词：
Address Adult Algorithms American Behavior Behavioral Big Data Body Weight Body Weight Changes Cardiovascular Diseases Cellular Phone Characteristics Chronic Disease Communities Consumption Cross-Sectional Studies Data Development Devices Diet Dietary intake Environment Error Sources Food Food Access Food Patterns Frequencies Funding Geographic Locations Geography Grant Health Health Food Health behavior Home Human Individual Location Malignant Neoplasms Measurement Measures Methods Non-Insulin-Dependent Diabetes Mellitus Obesity Outcome Participant Patient Self-Report Pattern Persons Population Population Research Positioning Attribute Questionnaires Recording of previous events Registries Research Research Personnel Resolution Restaurants Risk Risk Factors Sampling Services Shapes Source Surveys Time TimeLine Travel Twin Multiple Birth Unhealthy Diet United States National Institutes of Health Washington Weight Weight Gain Work base behavior measurement built environment cohort data space design diaries dietary epidemiology study fast food food consumption food environment health data insight longitudinal analysis novel novel strategies patient engagement sociodemographics tool

项目摘要

Project Summary Unhealthy diet is a key behavioral risk factor for several chronic diseases, particularly type-2 diabetes, cardiovascular disease, and some cancers. Long-term measures of diet are typically self-reported and subject to known sources of error and bias. A recognized population-level determinant of diet is access to and use of food retailing, particularly consuming food away from home (FAFH) from quick-service or “fast food” outlets. Currently, there are few methods to objectively measure long-term patterns of FAFH in health research or to understand how built environments shape these behaviors. However, the pervasive use of smartphones provides an emerging opportunity to address these questions. We will use Google Location History Timeline (GTL) data, which includes high-resolution geographic location data collected passively on smartphones with Google Apps, to develop new measures of long-term patterns of food retailer utilization, especially use of FAFH outlets. We will use data from 500 adults from the Washington State Twin Registry who are contributing their GTL data for another NIH-funded study on built environments and active travel (R21 ES031226-01A1). These data include daily time-activity patterns from 2012 to present. We will evaluate these measures against objective measures of contemporaneous food outlet utilization and detailed dietary intake measures in a subset of twins who have previously completed additional surveys, including food frequency questionnaires and travel diaries. Finally, we will measure how metrics of FAFH use relate to health outcomes, particularly weight status, weight change, and self-rated overall health, both cross-sectionally and longitudinally. New measures of food access behaviors associated with diet and health outcomes can be used in epidemiological research and advance the field of built environment influences on human health.

项目总结