Daily patterns of substance use and violence among a high-risk urban emerging adult sample: Results from the Flint Youth Injury Study
Interpersonal violence is a significant public health problem, with substance use a key risk factor. Intensive longitudinal methods (ILMs) provide data on daily patterns/relationships between substance use and violence, informing prevention. Prior daily research has not focused on these relationship...
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Veröffentlicht in: | Addictive behaviors 2020-02, Vol.101, p.106127-106127, Article 106127 |
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creator | Carter, Patrick M. Cranford, James A. Buu, Anne Walton, Maureen A. Zimmerman, Marc A. Goldstick, Jason Ngo, Quyen Cunningham, Rebecca M. |
description | Interpersonal violence is a significant public health problem, with substance use a key risk factor. Intensive longitudinal methods (ILMs) provide data on daily patterns/relationships between substance use and violence, informing prevention. Prior daily research has not focused on these relationships among urban minority samples.
Within an RCT comparing ILM assessment/schedule methods, 162-participants completed daily IVR (n = 81) or SMS (n = 81) assessments measuring 19 substance use and violence (partner/non-partner) behaviors daily for 90-days. GLMMs characterized between- and within-person predictors of daily violence.
Participants [48.7%-female; age = 24.4; 62.3%-African-American; 66.7%-public assistance] completed an average of 46.5 daily reports [SD = 26.7]. Across 90-days, alcohol was characterized by episodic weekend use (average = 10 days-of-use, 34.4% drinking-days involved binge-drinking), while marijuana use was continuous (average = 27 days-of-use; 1.7 times/day), with no weekend differences. Among 118-violent conflicts, 52.5% occurred on weekends; 57.6% were with non-partners/peers; 61.0% involved perpetration/57.6% victimization; and 52.5% involved severe violence. For violence conflicts, 27.1% were preceded by alcohol/22.9% preceded by drug use. Between-person predictors of daily violence included retaliatory attitudes (AOR = 3.2) and anxiety (AOR = 1.1). Within-person predictors included weekends (AOR = 1.6), binge drinking (AOR = 1.9), non-medical prescription opioid use (AOR = 3.5) and illicit drug use (AOR = 8.1).
Among a high-risk urban minority sample, we found that higher baseline retaliatory attitudes and anxiety, as well as same-day binge drinking, non-medical prescription opioid use, and illicit drug use were associated with daily violence, likely reflecting both pharmacological and socio-contextual factors. Addressing substance use and retaliatory violence with tailored prevention efforts may aid in decreasing negative interpersonal violence outcomes.
•In a 90-day daily study, alcohol and marijuana were most frequently used substances.•Among 118 violence days, 58% were with non-partners and 61% involved aggression.•Among violent conflicts, 27% preceded by alcohol and 23% preceded by drugs.•Between-person predictors of daily violence were retaliatory attitudes and anxiety.•Same-day binge drinking and illicit/prescription drug use predicted daily violence. |
doi_str_mv | 10.1016/j.addbeh.2019.106127 |
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Within an RCT comparing ILM assessment/schedule methods, 162-participants completed daily IVR (n = 81) or SMS (n = 81) assessments measuring 19 substance use and violence (partner/non-partner) behaviors daily for 90-days. GLMMs characterized between- and within-person predictors of daily violence.
Participants [48.7%-female; age = 24.4; 62.3%-African-American; 66.7%-public assistance] completed an average of 46.5 daily reports [SD = 26.7]. Across 90-days, alcohol was characterized by episodic weekend use (average = 10 days-of-use, 34.4% drinking-days involved binge-drinking), while marijuana use was continuous (average = 27 days-of-use; 1.7 times/day), with no weekend differences. Among 118-violent conflicts, 52.5% occurred on weekends; 57.6% were with non-partners/peers; 61.0% involved perpetration/57.6% victimization; and 52.5% involved severe violence. For violence conflicts, 27.1% were preceded by alcohol/22.9% preceded by drug use. Between-person predictors of daily violence included retaliatory attitudes (AOR = 3.2) and anxiety (AOR = 1.1). Within-person predictors included weekends (AOR = 1.6), binge drinking (AOR = 1.9), non-medical prescription opioid use (AOR = 3.5) and illicit drug use (AOR = 8.1).
Among a high-risk urban minority sample, we found that higher baseline retaliatory attitudes and anxiety, as well as same-day binge drinking, non-medical prescription opioid use, and illicit drug use were associated with daily violence, likely reflecting both pharmacological and socio-contextual factors. Addressing substance use and retaliatory violence with tailored prevention efforts may aid in decreasing negative interpersonal violence outcomes.
•In a 90-day daily study, alcohol and marijuana were most frequently used substances.•Among 118 violence days, 58% were with non-partners and 61% involved aggression.•Among violent conflicts, 27% preceded by alcohol and 23% preceded by drugs.•Between-person predictors of daily violence were retaliatory attitudes and anxiety.•Same-day binge drinking and illicit/prescription drug use predicted daily violence.</description><identifier>ISSN: 0306-4603</identifier><identifier>EISSN: 1873-6327</identifier><identifier>DOI: 10.1016/j.addbeh.2019.106127</identifier><identifier>PMID: 31645000</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adult ; Black or African American - statistics & numerical data ; Daily substance use/violence ; Emergency medicine ; Female ; Humans ; Intensive longitudinal data ; Longitudinal Studies ; Male ; Michigan - epidemiology ; Poverty - psychology ; Poverty - statistics & numerical data ; Public Assistance - statistics & numerical data ; Risk Factors ; Socioeconomic Factors ; Substance-Related Disorders - epidemiology ; Substance-Related Disorders - psychology ; Urban Population - statistics & numerical data ; Violence - psychology ; Violence - statistics & numerical data ; Young Adult ; Youth violence</subject><ispartof>Addictive behaviors, 2020-02, Vol.101, p.106127-106127, Article 106127</ispartof><rights>2019</rights><rights>Copyright © 2019. Published by Elsevier Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-ce15bd369822def44df2df08bbdd982852b1ef813e8cfd612a0d6a70fdd93b1b3</citedby><cites>FETCH-LOGICAL-c463t-ce15bd369822def44df2df08bbdd982852b1ef813e8cfd612a0d6a70fdd93b1b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.addbeh.2019.106127$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31645000$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Carter, Patrick M.</creatorcontrib><creatorcontrib>Cranford, James A.</creatorcontrib><creatorcontrib>Buu, Anne</creatorcontrib><creatorcontrib>Walton, Maureen A.</creatorcontrib><creatorcontrib>Zimmerman, Marc A.</creatorcontrib><creatorcontrib>Goldstick, Jason</creatorcontrib><creatorcontrib>Ngo, Quyen</creatorcontrib><creatorcontrib>Cunningham, Rebecca M.</creatorcontrib><title>Daily patterns of substance use and violence among a high-risk urban emerging adult sample: Results from the Flint Youth Injury Study</title><title>Addictive behaviors</title><addtitle>Addict Behav</addtitle><description>Interpersonal violence is a significant public health problem, with substance use a key risk factor. Intensive longitudinal methods (ILMs) provide data on daily patterns/relationships between substance use and violence, informing prevention. Prior daily research has not focused on these relationships among urban minority samples.
Within an RCT comparing ILM assessment/schedule methods, 162-participants completed daily IVR (n = 81) or SMS (n = 81) assessments measuring 19 substance use and violence (partner/non-partner) behaviors daily for 90-days. GLMMs characterized between- and within-person predictors of daily violence.
Participants [48.7%-female; age = 24.4; 62.3%-African-American; 66.7%-public assistance] completed an average of 46.5 daily reports [SD = 26.7]. Across 90-days, alcohol was characterized by episodic weekend use (average = 10 days-of-use, 34.4% drinking-days involved binge-drinking), while marijuana use was continuous (average = 27 days-of-use; 1.7 times/day), with no weekend differences. Among 118-violent conflicts, 52.5% occurred on weekends; 57.6% were with non-partners/peers; 61.0% involved perpetration/57.6% victimization; and 52.5% involved severe violence. For violence conflicts, 27.1% were preceded by alcohol/22.9% preceded by drug use. Between-person predictors of daily violence included retaliatory attitudes (AOR = 3.2) and anxiety (AOR = 1.1). Within-person predictors included weekends (AOR = 1.6), binge drinking (AOR = 1.9), non-medical prescription opioid use (AOR = 3.5) and illicit drug use (AOR = 8.1).
Among a high-risk urban minority sample, we found that higher baseline retaliatory attitudes and anxiety, as well as same-day binge drinking, non-medical prescription opioid use, and illicit drug use were associated with daily violence, likely reflecting both pharmacological and socio-contextual factors. Addressing substance use and retaliatory violence with tailored prevention efforts may aid in decreasing negative interpersonal violence outcomes.
•In a 90-day daily study, alcohol and marijuana were most frequently used substances.•Among 118 violence days, 58% were with non-partners and 61% involved aggression.•Among violent conflicts, 27% preceded by alcohol and 23% preceded by drugs.•Between-person predictors of daily violence were retaliatory attitudes and anxiety.•Same-day binge drinking and illicit/prescription drug use predicted daily violence.</description><subject>Adult</subject><subject>Black or African American - statistics & numerical data</subject><subject>Daily substance use/violence</subject><subject>Emergency medicine</subject><subject>Female</subject><subject>Humans</subject><subject>Intensive longitudinal data</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Michigan - epidemiology</subject><subject>Poverty - psychology</subject><subject>Poverty - statistics & numerical data</subject><subject>Public Assistance - statistics & numerical data</subject><subject>Risk Factors</subject><subject>Socioeconomic Factors</subject><subject>Substance-Related Disorders - epidemiology</subject><subject>Substance-Related Disorders - psychology</subject><subject>Urban Population - statistics & numerical data</subject><subject>Violence - psychology</subject><subject>Violence - statistics & numerical data</subject><subject>Young Adult</subject><subject>Youth violence</subject><issn>0306-4603</issn><issn>1873-6327</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UcuO1DAQtBCInV34A4T6BzJrxxlPwgEJLSystBISjwMny47bEw-JPbKdkeYD-G8cDSxw4dTqKld1u4uQF4yuGWXier9Wxmgc1jVlXYEEq7ePyIq1W14JXm8fkxXlVFSNoPyCXKa0p7Q82TRPyQVnotlQSlfkx1vlxhMcVM4YfYJgIc06ZeV7hDkhKG_g6MKIC6Cm4HegYHC7oYoufYc5auUBJ4w7t1BmHjMkNR1GfAWfMJU2gY1hgjwg3I7OZ_gW5jzAnd_P8QSf82xOz8gTq8aEz3_VK_L19t2Xmw_V_cf3dzdv7qu-ETxXPbKNNlx0bV0btE1jbG0sbbU2pmDtptYMbcs4tr015SCKGqG21Baaa6b5FXl99j3MekLTo89RjfIQ3aTiSQbl5L-Md4PchaMUXde1nBeD5mzQx5BSRPugZVQusci9PMcil1jkOZYie_n33AfR7xz-LIbl90eHUabeLSc3LmKfpQnu_xN-AnvZpH0</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Carter, Patrick M.</creator><creator>Cranford, James A.</creator><creator>Buu, Anne</creator><creator>Walton, Maureen A.</creator><creator>Zimmerman, Marc A.</creator><creator>Goldstick, Jason</creator><creator>Ngo, Quyen</creator><creator>Cunningham, Rebecca M.</creator><general>Elsevier 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>5PM</scope></search><sort><creationdate>20200201</creationdate><title>Daily patterns of substance use and violence among a high-risk urban emerging adult sample: Results from the Flint Youth Injury Study</title><author>Carter, Patrick M. ; Cranford, James A. ; Buu, Anne ; Walton, Maureen A. ; Zimmerman, Marc A. ; Goldstick, Jason ; Ngo, Quyen ; Cunningham, Rebecca M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-ce15bd369822def44df2df08bbdd982852b1ef813e8cfd612a0d6a70fdd93b1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Black or African American - statistics & numerical data</topic><topic>Daily substance use/violence</topic><topic>Emergency medicine</topic><topic>Female</topic><topic>Humans</topic><topic>Intensive longitudinal data</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Michigan - epidemiology</topic><topic>Poverty - psychology</topic><topic>Poverty - statistics & numerical data</topic><topic>Public Assistance - statistics & numerical data</topic><topic>Risk Factors</topic><topic>Socioeconomic Factors</topic><topic>Substance-Related Disorders - epidemiology</topic><topic>Substance-Related Disorders - psychology</topic><topic>Urban Population - statistics & numerical data</topic><topic>Violence - psychology</topic><topic>Violence - statistics & numerical data</topic><topic>Young Adult</topic><topic>Youth violence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carter, Patrick M.</creatorcontrib><creatorcontrib>Cranford, James A.</creatorcontrib><creatorcontrib>Buu, Anne</creatorcontrib><creatorcontrib>Walton, Maureen A.</creatorcontrib><creatorcontrib>Zimmerman, Marc A.</creatorcontrib><creatorcontrib>Goldstick, Jason</creatorcontrib><creatorcontrib>Ngo, Quyen</creatorcontrib><creatorcontrib>Cunningham, Rebecca M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Addictive behaviors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carter, Patrick M.</au><au>Cranford, James A.</au><au>Buu, Anne</au><au>Walton, Maureen A.</au><au>Zimmerman, Marc A.</au><au>Goldstick, Jason</au><au>Ngo, Quyen</au><au>Cunningham, Rebecca M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Daily patterns of substance use and violence among a high-risk urban emerging adult sample: Results from the Flint Youth Injury Study</atitle><jtitle>Addictive behaviors</jtitle><addtitle>Addict Behav</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>101</volume><spage>106127</spage><epage>106127</epage><pages>106127-106127</pages><artnum>106127</artnum><issn>0306-4603</issn><eissn>1873-6327</eissn><abstract>Interpersonal violence is a significant public health problem, with substance use a key risk factor. Intensive longitudinal methods (ILMs) provide data on daily patterns/relationships between substance use and violence, informing prevention. Prior daily research has not focused on these relationships among urban minority samples.
Within an RCT comparing ILM assessment/schedule methods, 162-participants completed daily IVR (n = 81) or SMS (n = 81) assessments measuring 19 substance use and violence (partner/non-partner) behaviors daily for 90-days. GLMMs characterized between- and within-person predictors of daily violence.
Participants [48.7%-female; age = 24.4; 62.3%-African-American; 66.7%-public assistance] completed an average of 46.5 daily reports [SD = 26.7]. Across 90-days, alcohol was characterized by episodic weekend use (average = 10 days-of-use, 34.4% drinking-days involved binge-drinking), while marijuana use was continuous (average = 27 days-of-use; 1.7 times/day), with no weekend differences. Among 118-violent conflicts, 52.5% occurred on weekends; 57.6% were with non-partners/peers; 61.0% involved perpetration/57.6% victimization; and 52.5% involved severe violence. For violence conflicts, 27.1% were preceded by alcohol/22.9% preceded by drug use. Between-person predictors of daily violence included retaliatory attitudes (AOR = 3.2) and anxiety (AOR = 1.1). Within-person predictors included weekends (AOR = 1.6), binge drinking (AOR = 1.9), non-medical prescription opioid use (AOR = 3.5) and illicit drug use (AOR = 8.1).
Among a high-risk urban minority sample, we found that higher baseline retaliatory attitudes and anxiety, as well as same-day binge drinking, non-medical prescription opioid use, and illicit drug use were associated with daily violence, likely reflecting both pharmacological and socio-contextual factors. Addressing substance use and retaliatory violence with tailored prevention efforts may aid in decreasing negative interpersonal violence outcomes.
•In a 90-day daily study, alcohol and marijuana were most frequently used substances.•Among 118 violence days, 58% were with non-partners and 61% involved aggression.•Among violent conflicts, 27% preceded by alcohol and 23% preceded by drugs.•Between-person predictors of daily violence were retaliatory attitudes and anxiety.•Same-day binge drinking and illicit/prescription drug use predicted daily violence.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>31645000</pmid><doi>10.1016/j.addbeh.2019.106127</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Black or African American - statistics & numerical data Daily substance use/violence Emergency medicine Female Humans Intensive longitudinal data Longitudinal Studies Male Michigan - epidemiology Poverty - psychology Poverty - statistics & numerical data Public Assistance - statistics & numerical data Risk Factors Socioeconomic Factors Substance-Related Disorders - epidemiology Substance-Related Disorders - psychology Urban Population - statistics & numerical data Violence - psychology Violence - statistics & numerical data Young Adult Youth violence |
title | Daily patterns of substance use and violence among a high-risk urban emerging adult sample: Results from the Flint Youth Injury Study |
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