Individual, peer, and family factor modification of neighborhood-level effects on adolescent alcohol, cigarette, e-cigarette, and marijuana use
•Neighborhood alcohol/drug problems are associated with alcohol and marijuana use.•Higher neighborhood disorganization is associated with higher odds of substance use.•Parental monitoring did not modify effects of neighborhood quality.•More affiliation with peers who use exacerbated poor quality nei...
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creator | Shih, Regina A. Parast, Layla Pedersen, Eric R. Troxel, Wendy M. Tucker, Joan S. Miles, Jeremy N.V. Kraus, Lisa D’Amico, Elizabeth J. |
description | •Neighborhood alcohol/drug problems are associated with alcohol and marijuana use.•Higher neighborhood disorganization is associated with higher odds of substance use.•Parental monitoring did not modify effects of neighborhood quality.•More affiliation with peers who use exacerbated poor quality neighborhood effects.•Resistance self-efficacy may curb substance use for youth in unsafe neighborhood.
Neighborhood factors reported subjectively by residents and measured objectively at the census tract are both associated with adolescent alcohol, tobacco (cigarette and electronic cigarette), and other drug (marijuana) (ATOD) use. Less clear is how these neighborhood factors are longitudinally associated with each substance. Equivocal findings may be due to lack of consideration of individual, peer, and family effect modifiers, which could help adolescents overcome exposure to stressful neighborhood environments.
We used multivariate logistic regressions with interaction terms to test whether parental monitoring, resistance self-efficacy (RSE) and being around peers who use ATOD modified the association between four subjective and objective neighborhood measures and odds of using each substance measured one year later among 2539 high school students and college freshmen originally recruited from middle schools in Southern California.
Census tract-level disadvantage was not longitudinally associated with ATOD use. However, perceptions of higher neighborhood disorganization, less social cohesion, and more neighborhood problems with alcohol and drug use were associated with higher odds of ATOD use. Higher RSE and weaker affiliations with peers who use ATOD consistently buffered negative effects of neighborhood disorganization and neighborhood problems with alcohol and drugs on past year ATOD use.
Community-level programs that increase social cohesion among neighbors, neighborhood monitoring of deviant behaviors, and better policing of open drug selling may prevent ATOD use. Programs should also target RSE and minimize affiliations with peers who use ATOD, which could reduce the magnitude of the association with ATOD, even for adolescents living in the most at-risk neighborhoods. |
doi_str_mv | 10.1016/j.drugalcdep.2017.07.014 |
format | Article |
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Neighborhood factors reported subjectively by residents and measured objectively at the census tract are both associated with adolescent alcohol, tobacco (cigarette and electronic cigarette), and other drug (marijuana) (ATOD) use. Less clear is how these neighborhood factors are longitudinally associated with each substance. Equivocal findings may be due to lack of consideration of individual, peer, and family effect modifiers, which could help adolescents overcome exposure to stressful neighborhood environments.
We used multivariate logistic regressions with interaction terms to test whether parental monitoring, resistance self-efficacy (RSE) and being around peers who use ATOD modified the association between four subjective and objective neighborhood measures and odds of using each substance measured one year later among 2539 high school students and college freshmen originally recruited from middle schools in Southern California.
Census tract-level disadvantage was not longitudinally associated with ATOD use. However, perceptions of higher neighborhood disorganization, less social cohesion, and more neighborhood problems with alcohol and drug use were associated with higher odds of ATOD use. Higher RSE and weaker affiliations with peers who use ATOD consistently buffered negative effects of neighborhood disorganization and neighborhood problems with alcohol and drugs on past year ATOD use.
Community-level programs that increase social cohesion among neighbors, neighborhood monitoring of deviant behaviors, and better policing of open drug selling may prevent ATOD use. Programs should also target RSE and minimize affiliations with peers who use ATOD, which could reduce the magnitude of the association with ATOD, even for adolescents living in the most at-risk neighborhoods.</description><identifier>ISSN: 0376-8716</identifier><identifier>EISSN: 1879-0046</identifier><identifier>DOI: 10.1016/j.drugalcdep.2017.07.014</identifier><identifier>PMID: 28886395</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Adolescent ; Adolescents ; Alcohol ; Alcohol abuse ; Alcohol use ; Alcoholic beverages ; California ; Cannabis ; Census ; Censuses ; Childrearing practices ; Cigarette ; Cigarettes ; Cohesion ; College students ; Deprived areas ; Deviance ; Drug abuse ; Drug Trafficking ; Drugs ; E-cigarette ; Effect modification ; Electronic cigarettes ; Electronic Nicotine Delivery Systems - methods ; Environmental aspects ; Families & family life ; Humans ; Interaction terms ; Logistic Models ; Marijuana ; Marijuana Use ; Middle schools ; Monitoring ; Neighborhoods ; Peer Group ; Peers ; Prevention programs ; Residence Characteristics - statistics & numerical data ; Resistance ; Schools ; Secondary school students ; Self-efficacy ; Smoking ; Social cohesion ; Social programs ; Students ; Substance abuse ; Substance-Related Disorders - epidemiology ; Teenagers ; Tobacco ; Universities ; Youth</subject><ispartof>Drug and alcohol dependence, 2017-11, Vol.180, p.76-85</ispartof><rights>2017 Elsevier B.V.</rights><rights>Copyright © 2017 Elsevier B.V. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Nov 1, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c507t-a3a605a61c68c1c3e79531846cd81999ce413e0cd2d9afd0e34f4273f1cae9ce3</citedby><cites>FETCH-LOGICAL-c507t-a3a605a61c68c1c3e79531846cd81999ce413e0cd2d9afd0e34f4273f1cae9ce3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S037687161730399X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27903,27904,30978,33753,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28886395$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shih, Regina A.</creatorcontrib><creatorcontrib>Parast, Layla</creatorcontrib><creatorcontrib>Pedersen, Eric R.</creatorcontrib><creatorcontrib>Troxel, Wendy M.</creatorcontrib><creatorcontrib>Tucker, Joan S.</creatorcontrib><creatorcontrib>Miles, Jeremy N.V.</creatorcontrib><creatorcontrib>Kraus, Lisa</creatorcontrib><creatorcontrib>D’Amico, Elizabeth J.</creatorcontrib><title>Individual, peer, and family factor modification of neighborhood-level effects on adolescent alcohol, cigarette, e-cigarette, and marijuana use</title><title>Drug and alcohol dependence</title><addtitle>Drug Alcohol Depend</addtitle><description>•Neighborhood alcohol/drug problems are associated with alcohol and marijuana use.•Higher neighborhood disorganization is associated with higher odds of substance use.•Parental monitoring did not modify effects of neighborhood quality.•More affiliation with peers who use exacerbated poor quality neighborhood effects.•Resistance self-efficacy may curb substance use for youth in unsafe neighborhood.
Neighborhood factors reported subjectively by residents and measured objectively at the census tract are both associated with adolescent alcohol, tobacco (cigarette and electronic cigarette), and other drug (marijuana) (ATOD) use. Less clear is how these neighborhood factors are longitudinally associated with each substance. Equivocal findings may be due to lack of consideration of individual, peer, and family effect modifiers, which could help adolescents overcome exposure to stressful neighborhood environments.
We used multivariate logistic regressions with interaction terms to test whether parental monitoring, resistance self-efficacy (RSE) and being around peers who use ATOD modified the association between four subjective and objective neighborhood measures and odds of using each substance measured one year later among 2539 high school students and college freshmen originally recruited from middle schools in Southern California.
Census tract-level disadvantage was not longitudinally associated with ATOD use. However, perceptions of higher neighborhood disorganization, less social cohesion, and more neighborhood problems with alcohol and drug use were associated with higher odds of ATOD use. Higher RSE and weaker affiliations with peers who use ATOD consistently buffered negative effects of neighborhood disorganization and neighborhood problems with alcohol and drugs on past year ATOD use.
Community-level programs that increase social cohesion among neighbors, neighborhood monitoring of deviant behaviors, and better policing of open drug selling may prevent ATOD use. Programs should also target RSE and minimize affiliations with peers who use ATOD, which could reduce the magnitude of the association with ATOD, even for adolescents living in the most at-risk neighborhoods.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Alcohol</subject><subject>Alcohol abuse</subject><subject>Alcohol use</subject><subject>Alcoholic beverages</subject><subject>California</subject><subject>Cannabis</subject><subject>Census</subject><subject>Censuses</subject><subject>Childrearing practices</subject><subject>Cigarette</subject><subject>Cigarettes</subject><subject>Cohesion</subject><subject>College students</subject><subject>Deprived areas</subject><subject>Deviance</subject><subject>Drug abuse</subject><subject>Drug Trafficking</subject><subject>Drugs</subject><subject>E-cigarette</subject><subject>Effect modification</subject><subject>Electronic cigarettes</subject><subject>Electronic Nicotine Delivery Systems - methods</subject><subject>Environmental aspects</subject><subject>Families & family life</subject><subject>Humans</subject><subject>Interaction terms</subject><subject>Logistic Models</subject><subject>Marijuana</subject><subject>Marijuana Use</subject><subject>Middle schools</subject><subject>Monitoring</subject><subject>Neighborhoods</subject><subject>Peer Group</subject><subject>Peers</subject><subject>Prevention programs</subject><subject>Residence Characteristics - statistics & numerical data</subject><subject>Resistance</subject><subject>Schools</subject><subject>Secondary school students</subject><subject>Self-efficacy</subject><subject>Smoking</subject><subject>Social cohesion</subject><subject>Social programs</subject><subject>Students</subject><subject>Substance abuse</subject><subject>Substance-Related Disorders - epidemiology</subject><subject>Teenagers</subject><subject>Tobacco</subject><subject>Universities</subject><subject>Youth</subject><issn>0376-8716</issn><issn>1879-0046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNqFkc9uEzEQxi0EoqHwCsgSFw7ZYMe7_nNBohXQSpW4wNly7XHilWMHezdSn4JXxlFKW7hgjTSy5ueZb_whhClZUUL5h3Hlyrwx0TrYr9aEihVpQftnaEGlUB0hPX-OFoQJ3klB-Rl6VetI2uGKvERnayklZ2pYoF_XyYVDcLOJS7wHKEtsksPe7EK8a8lOueBddsEHa6aQE84eJwib7W0u25xdF-EAEYP3YKeKG2BcjlAtpAk3hXmbW2cbNqbANMESQ_fkcpy1MyWMs0kGzxVeoxfexApv7vM5-vHl8_fLq-7m29fry083nR2ImDrDDCeD4dRyaallINTAqOy5dZIqpSz0lAGxbu2U8Y4A632_FsxTa6BV2Tn6eOq7n2934I5qi4l6X0KTc6ezCfrvSgpbvckHPXDFGB1ag_f3DUr-OUOd9C60pWM0CfJcNVVMNEmUioa--wcd81xSW69Rgqiec8kaJU-ULbnWAv5BDCX66Loe9aPr-ui6Ji1o356-fbrMw8M_Njfg4gRA-9JDgKKrDZAsuFCabdrl8P8pvwFIusa2</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Shih, Regina A.</creator><creator>Parast, Layla</creator><creator>Pedersen, Eric R.</creator><creator>Troxel, Wendy M.</creator><creator>Tucker, Joan S.</creator><creator>Miles, Jeremy N.V.</creator><creator>Kraus, Lisa</creator><creator>D’Amico, Elizabeth J.</creator><general>Elsevier B.V</general><general>Elsevier Science 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>7TK</scope><scope>7U4</scope><scope>7U7</scope><scope>BHHNA</scope><scope>C1K</scope><scope>DWI</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>WZK</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20171101</creationdate><title>Individual, peer, and family factor modification of neighborhood-level effects on adolescent alcohol, cigarette, e-cigarette, and marijuana use</title><author>Shih, Regina A. ; 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Neighborhood factors reported subjectively by residents and measured objectively at the census tract are both associated with adolescent alcohol, tobacco (cigarette and electronic cigarette), and other drug (marijuana) (ATOD) use. Less clear is how these neighborhood factors are longitudinally associated with each substance. Equivocal findings may be due to lack of consideration of individual, peer, and family effect modifiers, which could help adolescents overcome exposure to stressful neighborhood environments.
We used multivariate logistic regressions with interaction terms to test whether parental monitoring, resistance self-efficacy (RSE) and being around peers who use ATOD modified the association between four subjective and objective neighborhood measures and odds of using each substance measured one year later among 2539 high school students and college freshmen originally recruited from middle schools in Southern California.
Census tract-level disadvantage was not longitudinally associated with ATOD use. However, perceptions of higher neighborhood disorganization, less social cohesion, and more neighborhood problems with alcohol and drug use were associated with higher odds of ATOD use. Higher RSE and weaker affiliations with peers who use ATOD consistently buffered negative effects of neighborhood disorganization and neighborhood problems with alcohol and drugs on past year ATOD use.
Community-level programs that increase social cohesion among neighbors, neighborhood monitoring of deviant behaviors, and better policing of open drug selling may prevent ATOD use. Programs should also target RSE and minimize affiliations with peers who use ATOD, which could reduce the magnitude of the association with ATOD, even for adolescents living in the most at-risk neighborhoods.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>28886395</pmid><doi>10.1016/j.drugalcdep.2017.07.014</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adolescents Alcohol Alcohol abuse Alcohol use Alcoholic beverages California Cannabis Census Censuses Childrearing practices Cigarette Cigarettes Cohesion College students Deprived areas Deviance Drug abuse Drug Trafficking Drugs E-cigarette Effect modification Electronic cigarettes Electronic Nicotine Delivery Systems - methods Environmental aspects Families & family life Humans Interaction terms Logistic Models Marijuana Marijuana Use Middle schools Monitoring Neighborhoods Peer Group Peers Prevention programs Residence Characteristics - statistics & numerical data Resistance Schools Secondary school students Self-efficacy Smoking Social cohesion Social programs Students Substance abuse Substance-Related Disorders - epidemiology Teenagers Tobacco Universities Youth |
title | Individual, peer, and family factor modification of neighborhood-level effects on adolescent alcohol, cigarette, e-cigarette, and marijuana use |
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