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Data dictionary for CATHGEN study
These data contain health and demographic information from cardiac catheterization patients at Duke University, as well as estimated PM2.5 exposure from Harvard University and data from the US Census Bureau. 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: These data can be requested from the CATHGEN steering committee at Duke University. Format: Data are stored as SAS files on secured EPA drives. This dataset is associated with the following publications: Weaver, A., L. McGuinn, L. Neas, R. Devlin, R. Dhingra, C. Ward-Caviness, W. Cascio, W. Kraus, E. Hauser, and D. Diaz-Sanchez. Associations between neighborhood socioeconomic cluster and hypertension, diabetes, myocardial infarction, and coronary artery disease within a cohort of cardiac catheterization patients. American Heart Journal. Mosby Year Book Incorporated, Orlando, FL, USA, 243: 201-209, (2022). Slawsky, E., A. Weaver, C. Ward-Caviness, L. Neas, R. Devlin, W. Cascio, A. Russell, R. Huang, W. Kraus, E. Hauser, and D. Diaz-Sanchez. Evaluation of PM2.5 Air Pollution Sources and Cardiovascular Health. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 2020: 1, (2020).
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Neighborhood sociodemographic effects on the associations between long-term PM2.5 exposure and cardiovascular outcomes and diabetes
공공데이터포털
The dataset contains information on medical history, residential information and demographic information on CATHGEN participants as well as modeled PM2.5 values at participants' residence. This dataset is not publicly accessible because: The data are human subjects data containing potential identifiable information (PII) and therefore access is restricted to the study investigators. Because base data are owned by other entities, these data need to be requested directly from Duke University. It can be accessed through the following means: These data can accessed upon request to the CATHGEN steering committee at Duke University. Format: Data are stored as SAS files on secure EPA drives. This dataset is associated with the following publication: Weaver, A., L. McGuinn, L. Neas, J. Mirowsky, R. Devlin, R. Dhingra, C. Ward-Caviness, W. Cascio, W. Kraus, E. Hauser, Q. Di, J. Schwartz, and D. Diaz-Sanchez. Neighborhood sociodemographic effects on the associations between long-term PM2.5 exposure and cardiovascular outcomes and diabetes. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 3(1): e038, (2019).
Neighborhood sociodemographic effects on the associations between long-term PM2.5 exposure and cardiovascular outcomes and diabetes
공공데이터포털
The dataset contains information on medical history, residential information and demographic information on CATHGEN participants as well as modeled PM2.5 values at participants' residence. This dataset is not publicly accessible because: The data are human subjects data containing potential identifiable information (PII) and therefore access is restricted to the study investigators. Because base data are owned by other entities, these data need to be requested directly from Duke University. It can be accessed through the following means: These data can accessed upon request to the CATHGEN steering committee at Duke University. Format: Data are stored as SAS files on secure EPA drives. This dataset is associated with the following publication: Weaver, A., L. McGuinn, L. Neas, J. Mirowsky, R. Devlin, R. Dhingra, C. Ward-Caviness, W. Cascio, W. Kraus, E. Hauser, Q. Di, J. Schwartz, and D. Diaz-Sanchez. Neighborhood sociodemographic effects on the associations between long-term PM2.5 exposure and cardiovascular outcomes and diabetes. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 3(1): e038, (2019).
Mediation Analysis Annual Mortality
공공데이터포털
Annual mortality rates for US counties, air pollution concentrations. 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: Please contact corresponding author. Format: Data is saved in Ascii and netcdf format. This dataset is associated with the following publication: Peterson, G., C. Hogrefe, L. Neas, A. Corrigan, R. Mathur, and A. Rappold. Impacts of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter-Related Cardiovascular Mortality. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 128(1): 17005, (2020).
Mediation Analysis Annual Mortality
공공데이터포털
Annual mortality rates for US counties, air pollution concentrations. 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: Please contact corresponding author. Format: Data is saved in Ascii and netcdf format. This dataset is associated with the following publication: Peterson, G., C. Hogrefe, L. Neas, A. Corrigan, R. Mathur, and A. Rappold. Impacts of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter-Related Cardiovascular Mortality. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 128(1): 17005, (2020).
Air Pollution and Health in the Jackson Heart Study: a Cohort of African Americans in Jackson, Mississippi
공공데이터포털
Data include individual-level health data, including results from cardiovascular tests and medical history. This is linked to air quality data at participants' residence. 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: Data may be requested through the Jackson Heart Study. Format: Data include individual-level health data, including results from cardiovascular tests and medical history. This is linked to air quality data at participants' residence. Since these data contain PII, they cannot be released to ScienceHub. This dataset is associated with the following publications: Weaver, A., A. Bidulescu, G. Wellenius, D. Hickson, M. Sims, A. Vaidyanathan, W. Wu, A. Correa, and Y. Wang. Associations between Air Pollution Indicators and Prevalent and Incident Diabetes among African American Participants in the Jackson Heart Study. Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn, NETHERLANDS, 5(3): e140, (2021). Weaver, A., Y. Wang, G. Wellenius, A. Bidulescu, M. Sims, A. Vaidyanathan, D. Hickson, D. Shimbo, M. Abdalla, K. Diaz, and S. Seals. Long-Term Air Pollution and Blood Pressure in an African American Cohort: The Jackson Heart Study. American Journal of Preventive Medicine. Elsevier B.V., Amsterdam, NETHERLANDS, 60(3): 397-405, (2021).
Air Pollution and Health in the Jackson Heart Study: a Cohort of African Americans in Jackson, Mississippi
공공데이터포털
Data include individual-level health data, including results from cardiovascular tests and medical history. This is linked to air quality data at participants' residence. 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: Data may be requested through the Jackson Heart Study. Format: Data include individual-level health data, including results from cardiovascular tests and medical history. This is linked to air quality data at participants' residence. Since these data contain PII, they cannot be released to ScienceHub. This dataset is associated with the following publications: Weaver, A., A. Bidulescu, G. Wellenius, D. Hickson, M. Sims, A. Vaidyanathan, W. Wu, A. Correa, and Y. Wang. Associations between Air Pollution Indicators and Prevalent and Incident Diabetes among African American Participants in the Jackson Heart Study. Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn, NETHERLANDS, 5(3): e140, (2021). Weaver, A., Y. Wang, G. Wellenius, A. Bidulescu, M. Sims, A. Vaidyanathan, D. Hickson, D. Shimbo, M. Abdalla, K. Diaz, and S. Seals. Long-Term Air Pollution and Blood Pressure in an African American Cohort: The Jackson Heart Study. American Journal of Preventive Medicine. Elsevier B.V., Amsterdam, NETHERLANDS, 60(3): 397-405, (2021).
These are focus group transcripts and contain PII.
공공데이터포털
Data consist of transcripts from facilitated focus group discussions and contain PII. 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: It can be accessed by authorized persons by reaching out to contact point. Format: These are focus group discussion transcripts. Data contain PII. This dataset is associated with the following publication: Hano, M., C. Baghdikian, S. Prince, E. Lazzarino, B. Hubbell, E. Sams, S. Stone, A. Davis, and W. Cascio. Illuminating Stakeholder Perspectives at the Intersection of Air Quality Health Risk Communication and Cardiac Rehabilitation. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(19): 3603, (2019).
These are focus group transcripts and contain PII.
공공데이터포털
Data consist of transcripts from facilitated focus group discussions and contain PII. 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: It can be accessed by authorized persons by reaching out to contact point. Format: These are focus group discussion transcripts. Data contain PII. This dataset is associated with the following publication: Hano, M., C. Baghdikian, S. Prince, E. Lazzarino, B. Hubbell, E. Sams, S. Stone, A. Davis, and W. Cascio. Illuminating Stakeholder Perspectives at the Intersection of Air Quality Health Risk Communication and Cardiac Rehabilitation. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(19): 3603, (2019).
Metadata for Associations between long-term fine particulate matter exposure and hospital procedures in heart failure patients
공공데이터포털
This dataset contains information on air pollution exposure, census block group socioeconomic status, hospital procedures, demographics, and disease diagnosis history for heart failure patients in North Carolina (seen at a UNCHCS hospital or clinic). This dataset is not publicly accessible because: This data is composed of electronic health records containing PII and thus cannot be included in ScienceHub or released to the public. It can be accessed through the following means: The data can be accessed with written request accompanied by an appropriate, approved IRB application. Format: The data contains details on the air pollution exposure, performed hospital procedures, census tract socioeconomic status, and diagnoses information (including dates of diagnoses) for heart failure patients seen at UNCHCS hospital or clinic. The data is in tabular (flatfile) format. This dataset is associated with the following publication: Catalano, S., J. Moyer, A. Weaver, Q. Di, J. Schwartz, M. Caralano, and C. Ward-Caviness. Associations between long-term fine particulate matter exposure and hospital procedures in heart failure patients.. PLOS ONE. Public Library of Science, San Francisco, CA, USA, 18(5): e0283759, (2023).
These data are from a human study collected under IRB protocol: ClinicalTrials.gov # NCT01874834
공공데이터포털
These data are from a human study collected under IRB protocol: ClinicalTrials.gov # NCT01874834. 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: These data are from a human study collected under IRB protocol: ClinicalTrials.gov # NCT01874834. As such, it is a violation of Federal Law to publish them. Format: These data are from a human study collected under IRB protocol: ClinicalTrials.gov # NCT01874834. This dataset is associated with the following publication: Stiegel, M., J. Pleil, J. Sobus, T. Stevens, and M. Madden. Linking physiological parameters to perturbations in the human exposome: Environmental exposures modify blood pressure and lung function via inflammatory cytokine pathway. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A: CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 80(9): 485-501, (2017).