Associations of community socioeconomic factors and opioid use disorder across an urban-to-rural spectrum in Pennsylvania: an electronic health record-based case-control study.
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| Title: | Associations of community socioeconomic factors and opioid use disorder across an urban-to-rural spectrum in Pennsylvania: an electronic health record-based case-control study. |
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| Authors: | Poulsen, Melissa N. (AUTHOR), Nordberg, Cara M. (AUTHOR), DeWalle, Joseph (AUTHOR), Reeder, Meghann (AUTHOR), Berrettini, Wade (AUTHOR), Schwartz, Brian S. (AUTHOR) |
| Source: | Social Psychiatry & Psychiatric Epidemiology. Nov2025, Vol. 60 Issue 11, p2639-2651. 13p. |
| Subjects: | Socioeconomic factors, Opioid abuse, Medical records, Disease risk factors, Public health, Urban fringe, Case-control method |
| Geographic Terms: | Pennsylvania |
| Abstract: | Purpose: To elucidate the role of community socioeconomic conditions in creating opioid-related risk environments, we assessed community-level socioeconomic measures in association with opioid use disorder (OUD) across a diverse geography. Methods: We conducted a case-control study using medical records (2012–2020) from a Pennsylvania health system to identify cases of OUD (n = 14,674) and controls (n = 58,696; frequency-matched on age, sex, year, medical record duration). Residential addresses were used to assign community-level measures: community socioeconomic deprivation (CSD), high proportional housing costs (HPHC), population in service occupations (PSO), and community credit score (CCS). Logistic regression analyzed associations of community type (city census tracts [CCT], boroughs, townships) and community socioeconomic features (stratified by community type) with OUD, adjusting for demographics and individual-level socioeconomic status. Results: CCT or borough (versus township) residence was associated with higher OUD odds. CSD, HPHC, and CCS were associated with OUD across community types; PSO was only associated in CCTs. The highest (versus lowest) level of CSD was associated (odds ratio, 95% CI) with higher OUD odds among individuals in townships (1.18 [1.03, 1.36]), boroughs (1.34 [1.09, 1.63]), and CCTs (1.46 [1.13, 1.88]). "Good" (versus "high fair") CCS was associated with lower odds in townships (0.78 [0.71, 0.86]), boroughs (0.56 [0.41, 0.77]), and CCTs (0.73 [0.44, 1.22]). Conclusion: Findings indicate poor community socioeconomic conditions are related to higher OUD risk, highlight the value of research regarding opioid-related risk environments, and suggest structural and policy interventions, such as vocational training and rent subsidies, as important for addressing the root causes of OUD. [ABSTRACT FROM AUTHOR] |
| Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 188950063 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Associations of community socioeconomic factors and opioid use disorder across an urban-to-rural spectrum in Pennsylvania: an electronic health record-based case-control study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Poulsen%2C+Melissa+N%2E%22">Poulsen, Melissa N.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nordberg%2C+Cara+M%2E%22">Nordberg, Cara M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22DeWalle%2C+Joseph%22">DeWalle, Joseph</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Reeder%2C+Meghann%22">Reeder, Meghann</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Berrettini%2C+Wade%22">Berrettini, Wade</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schwartz%2C+Brian+S%2E%22">Schwartz, Brian S.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Social+Psychiatry+%26+Psychiatric+Epidemiology%22">Social Psychiatry & Psychiatric Epidemiology</searchLink>. Nov2025, Vol. 60 Issue 11, p2639-2651. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Opioid+abuse%22">Opioid abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+records%22">Medical records</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+risk+factors%22">Disease risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+fringe%22">Urban fringe</searchLink><br /><searchLink fieldCode="DE" term="%22Case-control+method%22">Case-control method</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Pennsylvania%22">Pennsylvania</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: To elucidate the role of community socioeconomic conditions in creating opioid-related risk environments, we assessed community-level socioeconomic measures in association with opioid use disorder (OUD) across a diverse geography. Methods: We conducted a case-control study using medical records (2012–2020) from a Pennsylvania health system to identify cases of OUD (n = 14,674) and controls (n = 58,696; frequency-matched on age, sex, year, medical record duration). Residential addresses were used to assign community-level measures: community socioeconomic deprivation (CSD), high proportional housing costs (HPHC), population in service occupations (PSO), and community credit score (CCS). Logistic regression analyzed associations of community type (city census tracts [CCT], boroughs, townships) and community socioeconomic features (stratified by community type) with OUD, adjusting for demographics and individual-level socioeconomic status. Results: CCT or borough (versus township) residence was associated with higher OUD odds. CSD, HPHC, and CCS were associated with OUD across community types; PSO was only associated in CCTs. The highest (versus lowest) level of CSD was associated (odds ratio, 95% CI) with higher OUD odds among individuals in townships (1.18 [1.03, 1.36]), boroughs (1.34 [1.09, 1.63]), and CCTs (1.46 [1.13, 1.88]). "Good" (versus "high fair") CCS was associated with lower odds in townships (0.78 [0.71, 0.86]), boroughs (0.56 [0.41, 0.77]), and CCTs (0.73 [0.44, 1.22]). Conclusion: Findings indicate poor community socioeconomic conditions are related to higher OUD risk, highlight the value of research regarding opioid-related risk environments, and suggest structural and policy interventions, such as vocational training and rent subsidies, as important for addressing the root causes of OUD. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=188950063 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00127-025-02897-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 2639 Subjects: – SubjectFull: Socioeconomic factors Type: general – SubjectFull: Opioid abuse Type: general – SubjectFull: Medical records Type: general – SubjectFull: Disease risk factors Type: general – SubjectFull: Public health Type: general – SubjectFull: Urban fringe Type: general – SubjectFull: Case-control method Type: general – SubjectFull: Pennsylvania Type: general Titles: – TitleFull: Associations of community socioeconomic factors and opioid use disorder across an urban-to-rural spectrum in Pennsylvania: an electronic health record-based case-control study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Poulsen, Melissa N. – PersonEntity: Name: NameFull: Nordberg, Cara M. – PersonEntity: Name: NameFull: DeWalle, Joseph – PersonEntity: Name: NameFull: Reeder, Meghann – PersonEntity: Name: NameFull: Berrettini, Wade – PersonEntity: Name: NameFull: Schwartz, Brian S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09337954 Numbering: – Type: volume Value: 60 – Type: issue Value: 11 Titles: – TitleFull: Social Psychiatry & Psychiatric Epidemiology Type: main |
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