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. Author manuscript; available in PMC: 2021 Jun 10.
Published in final edited form as: Sci Total Environ. 2021 Feb 4;772:145025. doi: 10.1016/j.scitotenv.2021.145025

Table 1.

Empirical quantitative studies on psychological stress as a function of chronic environmental contamination, selected through the systematic review.

Publication Contamination event/source Region Study design Independent variable (s) Dependent variable (s) Risk of bias n r
Behbod et al. (2014) Tert-butyl mercaptan exposure, tank leak Prichard, AL, US Cross-sectional Distance General stress Low 204 0.24
Bevc et al. (2007)b Landfill/waste site Ft. Lauderdale, FL, US Cross-sectional Subjective Depression, Low 223 0.230
PTSD .26
Cline et al. (2014) Asbestos exposure, industrial activity Libby, MT, US Cross-sectional Proxy measure General stress High 208 0.39
Couch and Mercuri (2007)b Benzene exposure from industrial activity Houston, TX, US Case-control Objective General stress Low 341 0.580
550 .430
386 .340
405 .31
Cutchin et al. (2008) Industrial activity and refinery explosion Texas City, TX, US Before-and-after Distance General stress Low 315 0.15
Downey and Van Willigen (2005)b Proximity to chronic industrial activity Chicago & neighboring counties in IL, US Cross-sectional Objective General stress Low 1210 0.230
.190
Depression .11
Elliott et al. (1997)a Landfill Milton, ON, CA Before-and-after High
Elliott et al. 2018 Proximity to unconventional oil & gas wells Belmont County, OH, US Cross-sectional Objective General stress Low 66 0.16
Fitzgerald et al. (2008) Polychlorinated biphenyl exposure, water, industrial activity Hudson River Area, NY, US Cross-sectional Objective Depression Low 243 0.16
Fortenberry et al. (2018)a Lead exposure, water Flint, MI, US Cross-sectional High
Ginsberg et al. (2012) Chlorine exposure, railway accident Graniteville, SC, US Cross-sectional Health PTSD Low 225 0.45
Grasmück and Scholz (2005) Heavy metal exposure, soil, industrial activity Dornach, Switzerland Case-control Subjective General stress High 57 0.63
Greve et al. (2005)b Toxic waste cloud, railway accident Eunice, LA, US Case-control Objective General stress Low 78 0.370
Depression .370
PTSD .37
Greve et al. (2007)b Toxic waste cloud, railway accident Eunice, LA, US Case-control Objective Anxiety Low 51 .17c
General Stress .30c
PTSD .34c
Anxiety 51 .36d
Depression .18d
Ha et al. (2018)b Heavy traffic roads contaminated by radiation Seoul, South Korea Cross-sectional Subjective Anxiety Low 8826 0.220
General stress .19
Hastrup et al. (2007)b Hazardous dumping, historic industrial activity Anonymous Case-control Objective General stress Low 290 0.280
Appalachian .340
Community Depression .47
Korol et al. (1999) Nuclear waste, government activities Fernald, OH, US Cross-sectional Distance PTSD High 91 0.54
Kruger et al. (2017a) Lead exposure, water Flint, MI, US Cross-sectional Subjective PTSD High 786 0.25
Kruger et al. (2017b)b Lead exposure, water Flint, MI, US Cross-sectional Subjective General stress High 834 0.250
.16
Kruger et al. (2017c) Lead exposure, water Flint, MI, US Cross-sectional Subjective General stress High 277 0.22
Levy et al. (2004)a Environmental exposures, public housing Boston, MA, US Cross-sectional High
Matthies et al. (2000)b Benzo(a)pyrene exposure, soil, industrial activity Dortmund-Dorstfeld, Germany Case-control Subjective General stress Low 152 0.460
Objective 415 .17
McCarron et al. (2000)b Landfill, chromium waste Glasgow, Scotland Case-control Health General stress Low 398 0.080
Objective 798 .001
McComas and Trumbo (2001)a Landfills, chronic industrial activity Various communities, NY State, US Cross-sectional High
McIntyre et al. (2018) Chronic industrial activity Various communities, Australia Cross-sectional Distance General stress Low 2009 0.03
Peek et al. (2009)b Chronic industrial activity Texas City, TX, US Cross-sectional Subjective General stress Low 2604 0.060
Depression .13
Rehner et al. (2000) Methyl parathion exposure, pesticide use Jackson County, MS, US Follow-up cohort Time Depression Low 115 0.25
Reif et al. (2003)a Trichloroethylene exposure, water Denver, CO, US Cross-sectional Low
Sansom et al. (2017) Waste sites and industrial activity Houston, TX, US Cross-sectional Time General stress High 109 0.08
Santiago-Rivera et al. (2007) Polychlorinated biphenyl exposure, water Akwasasne Mohawk reservation, NY, US Cross-sectional Objective General stress Low 353 0.18
Schade et al. (2015)a 4-methylcyclohexane methanol exposure, solvent spill Charleston, WV, US Retrospective follow-up High
Schade et al. (2016) 4-methylcyclohexane methanol exposure, solvent spill Charleston, WV, US Retrospective follow-up Health General stress High 489 0.47
Song et al. (2018)a Hydrogen fluoride exposure, spill/transport accident Gumi, South Korea Cross-sectional Low
Ushijima et al. (2004) Methylmercury exposure, water, industrial activity Minamata City, Japan Follow-up cohort Health General stress High 133 0.47
Vandermoere (2006) Heavy metal exposure, soil, industrial activity Kouterwijk, Belgium Cross-sectional Subjective General stress High 98 0.38
Vandermoere (2008)b Heavy metal exposure, soil, industrial activity Kouterwijk, Belgium Case-control Objective General stress High 300 0.420
.190
Anxiety .11
Verschuur et al. (2007)b Rumored uranium exposure, airplane accident Amsterdam, Netherlands Before-and-after Health General stress High 1074 0.260
.390
Anxiety .340
PTSD .36
Verschuur et al. (2008)b Rumored uranium exposure, airplane accident Amsterdam, Netherlands Follow-up cohort Health Anxiety High 168 0.120
General Stress .040
PTSD .09
Weinert et al. (2011)b Asbestos exposure, industrial activity Libby, MT, US Cross-sectional Distance General stress High 386 0.090
Depression .03
Whiteman et al. (1995)a Lead/chemical exposure, mining and industry Kinston, Australia Follow-up cohort High
Zierold et al. (2004) Arsenic exposure, water Sinnipee/St. Peter, WI, US Cross-sectional Objective Depression High 1185 0.38
k = 60 N = 25,858 r = 0.26
a

Studies not included in the meta-analysis.

b

Includes multiple effects from the same participants.

c

Effects from child participants.

d

Effects for parents of child participants.