Health Outcomes by Neighborhood (HON): Effects of Neighborhood, Social Instability, and Health Factors on 12-Month Trajectories of Substance-Use Disorder Symptoms.

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Title: Health Outcomes by Neighborhood (HON): Effects of Neighborhood, Social Instability, and Health Factors on 12-Month Trajectories of Substance-Use Disorder Symptoms.
Authors: Moran, Landhing M. (AUTHOR), Panlilio, Leigh V. (AUTHOR), Hertzel, Sara K. (AUTHOR), Bertz, Jeremiah W. (AUTHOR), Tyburski, Matthew (AUTHOR), Etter, John R. (AUTHOR), Epstein, David H. (AUTHOR), Preston, Kenzie L. (AUTHOR), Phillips, Karran A. (AUTHOR)
Source: Substance Use & Misuse. 2023, Vol. 58 Issue 12, p1460-1472. 13p. 4 Charts, 3 Graphs.
Subjects: Substance abuse, Mental health, Health status indicators, Research funding, Classification of mental disorders, Cluster analysis (Statistics), Sociodemographic factors, White people, Neighborhood characteristics, Psychological stress, Symptoms
Geographic Terms: Maryland
Abstract: Previous studies have shown that environment and health can influence drug use trajectories and the effects of substance use disorder (SUD) treatments. We hypothesized that trajectories of drug use-related problems, based on changes in DSM-5 symptoms, would vary by type(s) of drugs used, health factors, and neighborhood characteristics. We assessed mental and physical health, stress, social instability, neighborhood characteristics (disorderliness and home value), and DSM-5 symptom counts at two study visits, 12 months apart, in a community sample (baseline N = 735) in Baltimore, MD. Three prominent categories of drug-use trajectory were identified with K-means cluster analysis of symptom counts: Persistent (4 or more symptoms at both visits or at Visit 2), Improved (decrease from 4 or more symptoms at Visit 1 to 3 or fewer symptoms at Visit 2), and Low-Stable (3 or fewer symptoms at both visits). Baseline health and neighborhood measures were tested as predictors of trajectory in mediation and moderation models. Among people with current opioid- and/or stimulant-use, odds of an Improved trajectory were (1) decreased with neighborhood disorder and social instability, or (2) increased with home value and social instability. Odds of a Low-Stable trajectory were decreased by social instability and stress but increased in those who were older or self-identified as white. Trajectories of drug use-related problems are influenced by sociodemographic variables, neighborhood factors, and health. Assessing DSM-5 symptom counts as an outcome measure may be valuable in monitoring or predicting long-term trajectories and treatment effectiveness. [ABSTRACT FROM AUTHOR]
Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd 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.)
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  Data: Health Outcomes by Neighborhood (HON): Effects of Neighborhood, Social Instability, and Health Factors on 12-Month Trajectories of Substance-Use Disorder Symptoms.
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  Data: <searchLink fieldCode="AR" term="%22Moran%2C+Landhing+M%2E%22">Moran, Landhing M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Panlilio%2C+Leigh+V%2E%22">Panlilio, Leigh V.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hertzel%2C+Sara+K%2E%22">Hertzel, Sara K.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bertz%2C+Jeremiah+W%2E%22">Bertz, Jeremiah W.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tyburski%2C+Matthew%22">Tyburski, Matthew</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Etter%2C+John+R%2E%22">Etter, John R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Epstein%2C+David+H%2E%22">Epstein, David H.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Preston%2C+Kenzie+L%2E%22">Preston, Kenzie L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Phillips%2C+Karran+A%2E%22">Phillips, Karran A.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Substance+Use+%26+Misuse%22">Substance Use & Misuse</searchLink>. 2023, Vol. 58 Issue 12, p1460-1472. 13p. 4 Charts, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Maryland%22">Maryland</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Previous studies have shown that environment and health can influence drug use trajectories and the effects of substance use disorder (SUD) treatments. We hypothesized that trajectories of drug use-related problems, based on changes in DSM-5 symptoms, would vary by type(s) of drugs used, health factors, and neighborhood characteristics. We assessed mental and physical health, stress, social instability, neighborhood characteristics (disorderliness and home value), and DSM-5 symptom counts at two study visits, 12 months apart, in a community sample (baseline N = 735) in Baltimore, MD. Three prominent categories of drug-use trajectory were identified with K-means cluster analysis of symptom counts: Persistent (4 or more symptoms at both visits or at Visit 2), Improved (decrease from 4 or more symptoms at Visit 1 to 3 or fewer symptoms at Visit 2), and Low-Stable (3 or fewer symptoms at both visits). Baseline health and neighborhood measures were tested as predictors of trajectory in mediation and moderation models. Among people with current opioid- and/or stimulant-use, odds of an Improved trajectory were (1) decreased with neighborhood disorder and social instability, or (2) increased with home value and social instability. Odds of a Low-Stable trajectory were decreased by social instability and stress but increased in those who were older or self-identified as white. Trajectories of drug use-related problems are influenced by sociodemographic variables, neighborhood factors, and health. Assessing DSM-5 symptom counts as an outcome measure may be valuable in monitoring or predicting long-term trajectories and treatment effectiveness. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd 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.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/10826084.2023.2223258
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1460
    Subjects:
      – SubjectFull: Substance abuse
        Type: general
      – SubjectFull: Mental health
        Type: general
      – SubjectFull: Health status indicators
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Classification of mental disorders
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      – SubjectFull: Cluster analysis (Statistics)
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      – SubjectFull: Sociodemographic factors
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      – SubjectFull: White people
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      – SubjectFull: Neighborhood characteristics
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      – SubjectFull: Psychological stress
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      – SubjectFull: Symptoms
        Type: general
      – SubjectFull: Maryland
        Type: general
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      – TitleFull: Health Outcomes by Neighborhood (HON): Effects of Neighborhood, Social Instability, and Health Factors on 12-Month Trajectories of Substance-Use Disorder Symptoms.
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              Text: 2023
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