Exploring modifiable neighborhood risk factors for fatal opioid overdose: a case–control study in two US cities

To explore associations between physical and social neighborhood factors and fatal opioid overdose, we remotely visited 2018-2019 fatal opioid overdose locations in New York City (n = 2867) and Chicago (n = 1677) via Google Street View and used a reliable and valid tool to assess 65 street block characteristics. We compared these locations to a proportional sample of blocks with no 2018-2019 overdoses (New York City n = 2093; Chicago n = 1148). We used logistic regression to explore associations between block characteristics and odds of an overdose event, controlling for neighborhood-level covariates (poverty, segregation). For both cities, blocks had significantly increased odds (P < .05) of being overdose case sites if they had apartment buildings, bus stops, street trash, traffic calming features, and warning signs. New York City blocks also had significantly increased overdose odds if they had multifamily homes, commercial businesses, poor sidewalk maintenance, and loitering, and significantly decreased odds if they had single family homes, row homes, and security alarm signs. Chicago blocks with significantly increased overdose odds had vacant lots, abandoned buildings, alleys, restaurants, and adults on the street and significantly decreased odds with landscaping. Findings support neighborhood social and physical characteristics as important risk factors for fatal opioid overdose over and above sociodemographics.

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Publication Details

Journal
American Journal of Epidemiology
Published
2025-07-14
DOI
https://doi.org/10.1093/aje/kwaf152
Primary Topic
Opioid Use Disorder Treatment
Type
article
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article

Exploring modifiable neighborhood risk factors for fatal opioid overdose: a case–control study in two US cities

Douglas J. Wiebe, Christopher N. Morrison, Sílvia S. Martins, Elizabeth D. Nesoff
American Journal of Epidemiology
Opioid Use Disorder Treatment
article

Exploring modifiable neighborhood risk factors for fatal opioid overdose: a case–control study in two US cities

Douglas J. Wiebe, Christopher N. Morrison, Sílvia S. Martins, Elizabeth D. Nesoff
article en

Abstract

To explore associations between physical and social neighborhood factors and fatal opioid overdose, we remotely visited 2018-2019 fatal opioid overdose locations in New York City (n = 2867) and Chicago (n = 1677) via Google Street View and used a reliable and valid tool to assess 65 street block characteristics. We compared these locations to a proportional sample of blocks with no 2018-2019 overdoses (New York City n = 2093; Chicago n = 1148). We used logistic regression to explore associations between block characteristics and odds of an overdose event, controlling for neighborhood-level covariates (poverty, segregation). For both cities, blocks had significantly increased odds (P < .05) of being overdose case sites if they had apartment buildings, bus stops, street trash, traffic calming features, and warning signs. New York City blocks also had significantly increased overdose odds if they had multifamily homes, commercial businesses, poor sidewalk maintenance, and loitering, and significantly decreased odds if they had single family homes, row homes, and security alarm signs. Chicago blocks with significantly increased overdose odds had vacant lots, abandoned buildings, alleys, restaurants, and adults on the street and significantly decreased odds with landscaping. Findings support neighborhood social and physical characteristics as important risk factors for fatal opioid overdose over and above sociodemographics.

American Journal of EpidemiologyVol. 194(11)
University of Michigan (US), General Department of Preventive Medicine (VN), Monash University (AU), Columbia University (US), University of Pennsylvania (US)
No poverty
Openalex Percentile: Top 76%
Opioid Use Disorder Treatment
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Exploring modifiable neighborhood risk factors for fatal opioid overdose: a case–control study in two US cities — Douglas J. Wiebe, Christopher N. Morrison, et al. · American Journal of Epidemiology (2025) | TGRS Research Map | TGRS