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Accuracy of self-reported distance to nearest unconventional oil and gas well in Pennsylvania, Ohio, and West Virginia residents and implications for exposure assessment

Abstract

Self-reported distances to industrial sources have been used in epidemiology as proxies for exposure to environmental hazards and indicators of awareness and perception of sources. Unconventional oil and gas development (UOG) emits pollutants and has been associated with adverse health outcomes. We compared self-reported distance to the nearest UOG well to the geographic information system-calculated distance for 303 Pennsylvania, Ohio, and West Virginia residents using Cohen’s Weighted Kappa. Agreement was low (Kappa = 0.18), and self-reports by Ohioans (39% accuracy) were more accurate than West Virginians (22%) or Pennsylvanians (13%, both p < 0.05). Of the demographic characteristics studied, only educational attainment was related to reporting accuracy; residents with 12–16 years of education were more accurate (31.3% of group) than those with <12 or >16 years (both 16.7%). Understanding differences between objective and subjective measures of UOG proximity could inform studies of perceived exposures or risks and may also be relevant to adverse health effects.

Impact

We compared objective and self-reported measures of distance to the nearest UOG well for 303 Appalachian Basin residents. We found that residents’ self-reported distance to the nearest UOG well had limited agreement with the true calculated distance category. Our results can be used to inform the collection and contextualize the use of self-reported data in communities exposed to UOGD. Self-reported metrics can be used in conjunction with objective assessments and can be informative regarding how potentially exposed populations perceive environmental exposures or risks and could provide insights into awareness of distance-related policies, such as setbacks.

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Fig. 1: Survey question for self-reported distance to the nearest oil and gas well.
Fig. 2: Comparison of self-reported and true calculated distance category between residence and nearest UOG well (n = 303 PA, OH, and WV homes).

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Data availability

Links and references are provided for all publicly available data sources, such as oil and gas well locations. Interview data were collected from individual study participants after informed consent. IRB protocols and consent materials restrict publicly sharing individual data points. However, data are provided in aggregate form in the publication and anonymized individual-level data may be provided upon reasonable request.

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Acknowledgements

This research was supported in part by the National Priority Research Project under Assistance Agreement No. CR839249 awarded by the U.S. Environmental Protection Agency (EPA) to Yale University. The publication has not been formally reviewed by EPA. The views expressed in this document are solely those of the authors and do not reflect those of the Agency. EPA does not endorse any products or commercial services mentioned in this publication. CJC was also supported by a T32 training grant from the National Cancer Institute (T32 CA250803). The content is solely the responsibility of the authors and does not represent the official views of the National Institutes of Health.

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CJC, NCD, DLP, and JES contributed substantially to the conception, data collection, analysis, and manuscript preparation for this work. JAC and MLB contributed substantially to the conception, analysis, and manuscript preparation for this work.

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Correspondence to Cassandra J. Clark.

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The authors declare no competing interests.

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The study protocol was approved by the Institutional Review Board of Yale University (HIC #2000021809) and reviewed and approved by the US Environmental Protection Agency (HSR-001162). All participants provided informed consent prior to data collection activities.

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Clark, C.J., Casey, J.A., Bell, M.L. et al. Accuracy of self-reported distance to nearest unconventional oil and gas well in Pennsylvania, Ohio, and West Virginia residents and implications for exposure assessment. J Expo Sci Environ Epidemiol (2024). https://doi.org/10.1038/s41370-023-00637-8

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