# Neighborhoods, Mental Health, and the Prevention of Opioid Overdose: A Mixed Methods Approach > **NIH NIH K01** · UNIVERSITY OF PENNSYLVANIA · 2020 · $116,138 ## Abstract PROJECT SUMMARY/ABSTRACT Increasing opioid use in the U.S. has led to a dramatic increase in opioid-related fatal and non-fatal overdoses (OD), and adults with mental health disorders, including anxiety and mood disorders, are significantly more likely to use nonprescription opioids. Mental health and associated drug use are directly and significantly impacted by the neighborhood environment, but few studies have examined the impact of modifiable neighborhood features on OD risk. The broad objective of this study is to investigate modifiable neighborhood factors which impact mental health and which may contribute to opioid OD risk. The proposed research will achieve the following interconnected specific aims using mixed quantitative/qualitative approaches with fatal OD data from New York City and original in-depth interviews with people who use drugs: (1) investigate the impact of modifiable physical and social neighborhood factors on opioid OD risk; (2) examine key mental health indicators as mediators of the relationship between modifiable neighborhood factors and opioid OD risk; (3) comparatively investigate the impact of modifiable neighborhood factors and mental health indicators on opioid OD risk comparing the locations where opioid users lived versus the locations where they overdosed. In-depth interviews with people who use drugs will provide context for quantitative results, identifying mechanisms by which neighborhood impacts drug using and associated OD risk and informing novel strategies for OD prevention. This K01 mentored research scientist development proposal will provide the training and expertise needed to transition to research independence in drug use research. Five specific training areas will be incorporated to carry out these research goals: (1) obtain advanced skills in spatial analysis methods, including structural equation modeling with spatial data and advanced spatial regression analyses methods; (2) develop expertise in mixed quantitative and qualitative methods research theory, design, and analysis, and build capacity in collecting and analyzing qualitative data; (3) develop subject matter expertise in psychiatric epidemiology and associated drug use risk factors, in particular, major depression, general anxiety disorders, and diagnostic criteria for psychiatric disorders; (4) obtain additional training in the ethical conduct of research among marginalized and stigmatized populations; (5) build professional skills for a successful research career as an independent scientist leading multidisciplinary teams to build new knowledge and address major challenges in drug use and abuse. These training goals will be achieved through a combination of didactic courses, specialized workshops, hands-on research, and mentoring from an interdisciplinary team of experts. This research and training will lead to a subsequent R01 proposal that formally tests implementation strategies and effectiveness of neighborhood-level intervention... ## Key facts - **NIH application ID:** 10369171 - **Project number:** 7K01DA049900-02 - **Recipient organization:** UNIVERSITY OF PENNSYLVANIA - **Principal Investigator:** Elizabeth Nesoff - **Activity code:** K01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2020 - **Award amount:** $116,138 - **Award type:** 7 - **Project period:** 2020-07-15 → 2025-06-30 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10369171 ## Citation > US National Institutes of Health, RePORTER application 10369171, Neighborhoods, Mental Health, and the Prevention of Opioid Overdose: A Mixed Methods Approach (7K01DA049900-02). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10369171. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*