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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Drug and alcohol dependence 2017-11, Vol.180, p.76-85
Hauptverfasser: Shih, Regina A., Parast, Layla, Pedersen, Eric R., Troxel, Wendy M., Tucker, Joan S., Miles, Jeremy N.V., Kraus, Lisa, D’Amico, Elizabeth J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 85
container_issue
container_start_page 76
container_title Drug and alcohol dependence
container_volume 180
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
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5693315</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S037687161730399X</els_id><sourcerecordid>1937531117</sourcerecordid><originalsourceid>FETCH-LOGICAL-c507t-a3a605a61c68c1c3e79531846cd81999ce413e0cd2d9afd0e34f4273f1cae9ce3</originalsourceid><addsrcrecordid>eNqFkc9uEzEQxi0EoqHwCsgSFw7ZYMe7_nNBohXQSpW4wNly7XHilWMHezdSn4JXxlFKW7hgjTSy5ueZb_whhClZUUL5h3Hlyrwx0TrYr9aEihVpQftnaEGlUB0hPX-OFoQJ3klB-Rl6VetI2uGKvERnayklZ2pYoF_XyYVDcLOJS7wHKEtsksPe7EK8a8lOueBddsEHa6aQE84eJwib7W0u25xdF-EAEYP3YKeKG2BcjlAtpAk3hXmbW2cbNqbANMESQ_fkcpy1MyWMs0kGzxVeoxfexApv7vM5-vHl8_fLq-7m29fry083nR2ImDrDDCeD4dRyaallINTAqOy5dZIqpSz0lAGxbu2U8Y4A632_FsxTa6BV2Tn6eOq7n2934I5qi4l6X0KTc6ezCfrvSgpbvckHPXDFGB1ag_f3DUr-OUOd9C60pWM0CfJcNVVMNEmUioa--wcd81xSW69Rgqiec8kaJU-ULbnWAv5BDCX66Loe9aPr-ui6Ji1o356-fbrMw8M_Njfg4gRA-9JDgKKrDZAsuFCabdrl8P8pvwFIusa2</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1970946683</pqid></control><display><type>article</type><title>Individual, peer, and family factor modification of neighborhood-level effects on adolescent alcohol, cigarette, e-cigarette, and marijuana use</title><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><source>Sociological Abstracts</source><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.</creator><creatorcontrib>Shih, Regina A. ; Parast, Layla ; Pedersen, Eric R. ; Troxel, Wendy M. ; Tucker, Joan S. ; Miles, Jeremy N.V. ; Kraus, Lisa ; D’Amico, Elizabeth J.</creatorcontrib><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><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 &amp; family life ; Humans ; Interaction terms ; Logistic Models ; Marijuana ; Marijuana Use ; Middle schools ; Monitoring ; Neighborhoods ; Peer Group ; Peers ; Prevention programs ; Residence Characteristics - statistics &amp; 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 &amp; 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 &amp; 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. ; Parast, Layla ; Pedersen, Eric R. ; Troxel, Wendy M. ; Tucker, Joan S. ; Miles, Jeremy N.V. ; Kraus, Lisa ; D’Amico, Elizabeth J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c507t-a3a605a61c68c1c3e79531846cd81999ce413e0cd2d9afd0e34f4273f1cae9ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Alcohol</topic><topic>Alcohol abuse</topic><topic>Alcohol use</topic><topic>Alcoholic beverages</topic><topic>California</topic><topic>Cannabis</topic><topic>Census</topic><topic>Censuses</topic><topic>Childrearing practices</topic><topic>Cigarette</topic><topic>Cigarettes</topic><topic>Cohesion</topic><topic>College students</topic><topic>Deprived areas</topic><topic>Deviance</topic><topic>Drug abuse</topic><topic>Drug Trafficking</topic><topic>Drugs</topic><topic>E-cigarette</topic><topic>Effect modification</topic><topic>Electronic cigarettes</topic><topic>Electronic Nicotine Delivery Systems - methods</topic><topic>Environmental aspects</topic><topic>Families &amp; family life</topic><topic>Humans</topic><topic>Interaction terms</topic><topic>Logistic Models</topic><topic>Marijuana</topic><topic>Marijuana Use</topic><topic>Middle schools</topic><topic>Monitoring</topic><topic>Neighborhoods</topic><topic>Peer Group</topic><topic>Peers</topic><topic>Prevention programs</topic><topic>Residence Characteristics - statistics &amp; numerical data</topic><topic>Resistance</topic><topic>Schools</topic><topic>Secondary school students</topic><topic>Self-efficacy</topic><topic>Smoking</topic><topic>Social cohesion</topic><topic>Social programs</topic><topic>Students</topic><topic>Substance abuse</topic><topic>Substance-Related Disorders - epidemiology</topic><topic>Teenagers</topic><topic>Tobacco</topic><topic>Universities</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><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 &amp; Abstracts (ASSIA)</collection><collection>Neurosciences Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Toxicology Abstracts</collection><collection>Sociological Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Sociological Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Sociological Abstracts (Ovid)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Drug and alcohol dependence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shih, Regina A.</au><au>Parast, Layla</au><au>Pedersen, Eric R.</au><au>Troxel, Wendy M.</au><au>Tucker, Joan S.</au><au>Miles, Jeremy N.V.</au><au>Kraus, Lisa</au><au>D’Amico, Elizabeth J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Individual, peer, and family factor modification of neighborhood-level effects on adolescent alcohol, cigarette, e-cigarette, and marijuana use</atitle><jtitle>Drug and alcohol dependence</jtitle><addtitle>Drug Alcohol Depend</addtitle><date>2017-11-01</date><risdate>2017</risdate><volume>180</volume><spage>76</spage><epage>85</epage><pages>76-85</pages><issn>0376-8716</issn><eissn>1879-0046</eissn><abstract>•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.</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>
fulltext fulltext
identifier ISSN: 0376-8716
ispartof Drug and alcohol dependence, 2017-11, Vol.180, p.76-85
issn 0376-8716
1879-0046
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5693315
source Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Elsevier ScienceDirect Journals; Sociological Abstracts
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T04%3A12%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Individual,%20peer,%20and%20family%20factor%20modification%20of%20neighborhood-level%20effects%20on%20adolescent%20alcohol,%20cigarette,%20e-cigarette,%20and%20marijuana%20use&rft.jtitle=Drug%20and%20alcohol%20dependence&rft.au=Shih,%20Regina%20A.&rft.date=2017-11-01&rft.volume=180&rft.spage=76&rft.epage=85&rft.pages=76-85&rft.issn=0376-8716&rft.eissn=1879-0046&rft_id=info:doi/10.1016/j.drugalcdep.2017.07.014&rft_dat=%3Cproquest_pubme%3E1937531117%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1970946683&rft_id=info:pmid/28886395&rft_els_id=S037687161730399X&rfr_iscdi=true