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Health Outcomes by Neighborhood (HON): Effects of Neighborhood, Social Instability, and Health Factors on 12-Month Trajectories of Substance-Use Disorder Symptoms
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 fact...
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Published in: | Substance use & misuse 2023, Vol.ahead-of-print (ahead-of-print), p.1-13 |
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description | 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. |
doi_str_mv | 10.1080/10826084.2023.2223258 |
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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.
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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.</description><subject>Baltimore</subject><subject>Clinicaltrialsgov Identifier NCT01571752</subject><subject>Drug abuse</subject><subject>Drug use</subject><subject>Drugs</subject><subject>DSM-5 symptoms</subject><subject>Health status</subject><subject>Humans</subject><subject>Medical treatment</subject><subject>Mental health</subject><subject>Moderation</subject><subject>neighborhood</subject><subject>Neighborhoods</subject><subject>Opioids</subject><subject>Residence Characteristics</subject><subject>Social disorganization</subject><subject>Sociodemographics</subject><subject>Stability</subject><subject>Stress</subject><subject>Substance abuse</subject><subject>Substance use disorder</subject><subject>Substance-Related Disorders - diagnosis</subject><subject>Symptoms</subject><subject>trajectory</subject><subject>Treatment methods</subject><subject>Treatment outcomes</subject><subject>Visits</subject><issn>1082-6084</issn><issn>1532-2491</issn><issn>1532-2491</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNp9ks9u1DAQxiMEoqXwCCBLXIrULP4TZx0ugErbrVS6h23Plu3YXa8Se7EdUF6HJ8Vht1XLgYttzfzmG4_mK4q3CM4QZPBjPnANWTXDEJMZxphgyp4Vh4gSXOKqQc_zOzPlBB0Ur2LcQIgYIuhlcUDmhEHasMPi90KLLq3BckjK9zoCOYJrbe_W0oe19y04XiyvP3wCZ8ZolSLw5kn6BKy8sqIDly4mIW1n03gChGvBXvdcqORDrnMA4fK7dzl2E8RGT2Gr_wquBpmLndLlbdTgm40-tDqA1dhvk-_j6-KFEV3Ub_b3UXF7fnZzuiivlheXp1-vSlVVNJW1obKWBjZUynkjiGSyaahukZRmLiojaa2wrFuM5qwxgqgWCyQRJoYq1VaQHBWfd7rbQfa6VdqlIDq-DbYXYeReWP404-ya3_mfHEFKKgyrrHC8Vwj-x6Bj4r2NSnedcNoPkWNGEG5oTadm7_9BN34ILs-XKVojWuf1ZoruKBV8jEGbh98gyCcb8Hsb8MkGfG-DXPfu8SgPVfd7z8CXHWCd8aEXv3zoWp7E2PlgQt6FjZz8v8cfvv_D7g</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Moran, Landhing M.</creator><creator>Panlilio, Leigh V.</creator><creator>Hertzel, Sara K.</creator><creator>Bertz, Jeremiah W.</creator><creator>Tyburski, Matthew</creator><creator>Etter, John R.</creator><creator>Epstein, David H.</creator><creator>Preston, Kenzie L.</creator><creator>Phillips, Karran A.</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7U3</scope><scope>BHHNA</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3122-634X</orcidid></search><sort><creationdate>2023</creationdate><title>Health Outcomes by Neighborhood (HON): Effects of Neighborhood, Social Instability, and Health Factors on 12-Month Trajectories of Substance-Use Disorder Symptoms</title><author>Moran, Landhing M. ; Panlilio, Leigh V. ; Hertzel, Sara K. ; Bertz, Jeremiah W. ; Tyburski, Matthew ; Etter, John R. ; Epstein, David H. ; Preston, Kenzie L. ; Phillips, Karran A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-6f5b6bf095bb79a3b8b995ed1bbf7a4fb56c2b6d21789fa3cd2a1b123f5ccd403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Baltimore</topic><topic>Clinicaltrialsgov Identifier NCT01571752</topic><topic>Drug abuse</topic><topic>Drug use</topic><topic>Drugs</topic><topic>DSM-5 symptoms</topic><topic>Health status</topic><topic>Humans</topic><topic>Medical treatment</topic><topic>Mental health</topic><topic>Moderation</topic><topic>neighborhood</topic><topic>Neighborhoods</topic><topic>Opioids</topic><topic>Residence Characteristics</topic><topic>Social disorganization</topic><topic>Sociodemographics</topic><topic>Stability</topic><topic>Stress</topic><topic>Substance abuse</topic><topic>Substance use disorder</topic><topic>Substance-Related Disorders - diagnosis</topic><topic>Symptoms</topic><topic>trajectory</topic><topic>Treatment methods</topic><topic>Treatment outcomes</topic><topic>Visits</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moran, Landhing M.</creatorcontrib><creatorcontrib>Panlilio, Leigh V.</creatorcontrib><creatorcontrib>Hertzel, Sara K.</creatorcontrib><creatorcontrib>Bertz, Jeremiah W.</creatorcontrib><creatorcontrib>Tyburski, Matthew</creatorcontrib><creatorcontrib>Etter, John R.</creatorcontrib><creatorcontrib>Epstein, David H.</creatorcontrib><creatorcontrib>Preston, Kenzie L.</creatorcontrib><creatorcontrib>Phillips, Karran A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Substance use & misuse</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moran, Landhing M.</au><au>Panlilio, Leigh V.</au><au>Hertzel, Sara K.</au><au>Bertz, Jeremiah W.</au><au>Tyburski, Matthew</au><au>Etter, John R.</au><au>Epstein, David H.</au><au>Preston, Kenzie L.</au><au>Phillips, Karran A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Health Outcomes by Neighborhood (HON): Effects of Neighborhood, Social Instability, and Health Factors on 12-Month Trajectories of Substance-Use Disorder Symptoms</atitle><jtitle>Substance use & misuse</jtitle><addtitle>Subst Use Misuse</addtitle><date>2023</date><risdate>2023</risdate><volume>ahead-of-print</volume><issue>ahead-of-print</issue><spage>1</spage><epage>13</epage><pages>1-13</pages><issn>1082-6084</issn><issn>1532-2491</issn><eissn>1532-2491</eissn><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><cop>England</cop><pub>Taylor & Francis</pub><pmid>37380598</pmid><doi>10.1080/10826084.2023.2223258</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-3122-634X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Baltimore Clinicaltrialsgov Identifier NCT01571752 Drug abuse Drug use Drugs DSM-5 symptoms Health status Humans Medical treatment Mental health Moderation neighborhood Neighborhoods Opioids Residence Characteristics Social disorganization Sociodemographics Stability Stress Substance abuse Substance use disorder Substance-Related Disorders - diagnosis Symptoms trajectory Treatment methods Treatment outcomes Visits |
title | 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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