Environmental data and methods from the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) core measures environmental working group
This article describes geospatial datasets and exemplary data across five environmental domains (walkability, socioeconomic deprivation, urbanicity, personal safety, and food outlet accessibility). The environmental domain is one of four domains (behavioral, biological, environmental and psychosocia...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-04-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235234092200213X |
| _version_ | 1818774359833051136 |
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| author | Beth A. Slotman David G. Stinchcomb Tiffany M. Powell-Wiley Danielle M. Ostendorf Brian E. Saelens Amy A. Gorin Shannon N. Zenk David Berrigan |
| author_facet | Beth A. Slotman David G. Stinchcomb Tiffany M. Powell-Wiley Danielle M. Ostendorf Brian E. Saelens Amy A. Gorin Shannon N. Zenk David Berrigan |
| author_sort | Beth A. Slotman |
| collection | DOAJ |
| description | This article describes geospatial datasets and exemplary data across five environmental domains (walkability, socioeconomic deprivation, urbanicity, personal safety, and food outlet accessibility). The environmental domain is one of four domains (behavioral, biological, environmental and psychosocial) in which the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project suggested measures to help explain variation in responses to weight loss interventions. These data are intended to facilitate additional research on potential environmental moderators of responses to weight loss, physical activity, or diet related interventions. These data represent a mix of publicly and commercially available pre-existing data that were downloaded, cleaned, restructured and analyzed to create datasets at the United States (U.S.) block group and/or census tract level for the five domains. Additionally, the resource includes detailed methods for obtaining, cleaning and summarizing two datasets concerning safety and the food environment that are only available commercially. Across the five domains considered, we include component as well as derived variables for three of the five domains. There are two versions of the National Walkability Index Dataset (one based on 2013 data and one on 2019 data) consisting of 15 variables. The Neighborhood Deprivation Index dataset contains 18 variables and is based on the US Census Bureau's 5-year American Community Survey (ACS) data for 2013–2017. The urbanicity dataset contains 11 variables and is based on USDA rural-urban commuting (RUCA) codes and Census Bureau urban/rural population data from 2010. Personal safety and food outlet accessibility data were purchased through commercial vendors and are not in the public domain. Thus, only exemplary figures and detailed instructions are provided. The website housing these datasets and examples should serve as a valuable resource for researchers who wish to examine potential environmental moderators of responses to weight loss and related interventions in the U.S. |
| first_indexed | 2024-12-18T10:39:54Z |
| format | Article |
| id | doaj.art-240408a6b4854ad2a2e952156e344add |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-18T10:39:54Z |
| publishDate | 2022-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-240408a6b4854ad2a2e952156e344add2022-12-21T21:10:40ZengElsevierData in Brief2352-34092022-04-0141108002Environmental data and methods from the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) core measures environmental working groupBeth A. Slotman0David G. Stinchcomb1Tiffany M. Powell-Wiley2Danielle M. Ostendorf3Brian E. Saelens4Amy A. Gorin5Shannon N. Zenk6David Berrigan7Westat Inc, Rockville, MD 20850, USAWestat Inc, Rockville, MD 20850, USADivision of Intramural Research, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USADivision of Endocrinology, Metabolism, and Diabetes, Department of Medicine, USA and Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora CO, USADepartment of Pediatrics, Seattle Children's Research Institute, University of Washington, Seattle, WA, USAInstitute for the Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT, USADivision of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, National Institute of Nursing Research, Bethesda, MD, USADivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Corresponding author.This article describes geospatial datasets and exemplary data across five environmental domains (walkability, socioeconomic deprivation, urbanicity, personal safety, and food outlet accessibility). The environmental domain is one of four domains (behavioral, biological, environmental and psychosocial) in which the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project suggested measures to help explain variation in responses to weight loss interventions. These data are intended to facilitate additional research on potential environmental moderators of responses to weight loss, physical activity, or diet related interventions. These data represent a mix of publicly and commercially available pre-existing data that were downloaded, cleaned, restructured and analyzed to create datasets at the United States (U.S.) block group and/or census tract level for the five domains. Additionally, the resource includes detailed methods for obtaining, cleaning and summarizing two datasets concerning safety and the food environment that are only available commercially. Across the five domains considered, we include component as well as derived variables for three of the five domains. There are two versions of the National Walkability Index Dataset (one based on 2013 data and one on 2019 data) consisting of 15 variables. The Neighborhood Deprivation Index dataset contains 18 variables and is based on the US Census Bureau's 5-year American Community Survey (ACS) data for 2013–2017. The urbanicity dataset contains 11 variables and is based on USDA rural-urban commuting (RUCA) codes and Census Bureau urban/rural population data from 2010. Personal safety and food outlet accessibility data were purchased through commercial vendors and are not in the public domain. Thus, only exemplary figures and detailed instructions are provided. The website housing these datasets and examples should serve as a valuable resource for researchers who wish to examine potential environmental moderators of responses to weight loss and related interventions in the U.S.http://www.sciencedirect.com/science/article/pii/S235234092200213XGeospatialWeight lossNeighborhood deprivationSocio-economic statusWalkabilityUrbanicity |
| spellingShingle | Beth A. Slotman David G. Stinchcomb Tiffany M. Powell-Wiley Danielle M. Ostendorf Brian E. Saelens Amy A. Gorin Shannon N. Zenk David Berrigan Environmental data and methods from the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) core measures environmental working group Data in Brief Geospatial Weight loss Neighborhood deprivation Socio-economic status Walkability Urbanicity |
| title | Environmental data and methods from the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) core measures environmental working group |
| title_full | Environmental data and methods from the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) core measures environmental working group |
| title_fullStr | Environmental data and methods from the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) core measures environmental working group |
| title_full_unstemmed | Environmental data and methods from the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) core measures environmental working group |
| title_short | Environmental data and methods from the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) core measures environmental working group |
| title_sort | environmental data and methods from the accumulating data to optimally predict obesity treatment adopt core measures environmental working group |
| topic | Geospatial Weight loss Neighborhood deprivation Socio-economic status Walkability Urbanicity |
| url | http://www.sciencedirect.com/science/article/pii/S235234092200213X |
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