Tree cover and allostatic load

The dataset contains results of questionnaire surveys including demographic, socioeconomic data and health/medical information, residential addresses, geographic coordinates of residential addresses, estimates of tree cover and vegetated land cover within 1 km of residence, results of laboratory analyses of blood samples from study participants for biomarkers of allostatic load, and allostatic load estimates. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: See above. Data requests should be sent to PI. Format: Data are stored in SAS and MS Excel. This dataset is associated with the following publication: Egorov, A., S. Griffin, R. Converse, J. Styles, E. Klein, J. Scott, E. Sams, E. Hudgens, and T. Wade. Greater tree cover near residence is associated with reduced allostatic load in residents of central North Carolina. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 186: 109435, (2020).

                                            [
  "020:00"
]
                                        

                                            {
  "fn": "Andrey Egorov",
  "hasEmail": "mailto:egorov.andrey@epa.gov"
}
                                        

                                            []
                                        

                                            [
  "Green space",
  "Greenspace",
  "Urban environment",
  "allostatic load",
  "chronic stress",
  "epidemiologic study",
  "multiple stressors"
]
                                        

                                            [
  "020:097"
]
                                        

                                            {
  "name": "U.S. EPA Office of Research and Development (ORD)",
  "subOrganizationOf": {
    "name": "U.S. Environmental Protection Agency",
    "subOrganizationOf": {
      "name": "U.S. Government"
    }
  }
}
                                        

                                            [
  "https://doi.org/10.1016/j.envres.2020.109435"
]
                                        

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