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129 Multiscale analyses of violent crime and neighbourhood alcohol environments

Injury prevention, 2017-09, Vol.23 (Suppl 1), p.A48 [Peer Reviewed Journal]

2017, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions ;Copyright: 2017 © 2017, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions ;ISSN: 1353-8047 ;EISSN: 1475-5785 ;DOI: 10.1136/injuryprev-2017-042560.129

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  • Title:
    129 Multiscale analyses of violent crime and neighbourhood alcohol environments
  • Author: Mair, Christina ; Gaidus, Andrew ; Gruenewald, Paul J ; Ponicki, William R ; Lee, Juliet P
  • Subjects: Alcohol ; Assaults ; Violent crime
  • Is Part Of: Injury prevention, 2017-09, Vol.23 (Suppl 1), p.A48
  • Description: Statement of PurposeProblems of unit scale and resolution plague population analyses of violence and crime related to alcohol outlets: Crime related to outlets may be located within a block (e.g., assault and battery), residential areas some distance away (e.g., child physical abuse), or diffusely spread across communities (e.g., drunken driving). When a social process is localised, highly resolved spatial analyses can identify local effects; when non-local, highly resolved analyses may miss the mark, identifying no local effects. We (1) conducted multiscale spatial analyses of crime to assess variation in spatial effects and (2) determined whether off-premise outlets, in particular, are associated with crimes in local or adjacent areas.Methods/ApproachWe examined relationships of violent crime incidents for Oakland, CA in 2015 with outlet locations and demographic data measured at Census block, block group and tract geographies. The impacts of aggregation bias were estimated at multiple spatial scales using the Moran’s I test for global autocorrelation. Negative Binomial models assessed relationships between predictors and outcomes across nested and adjacent (spatially lagged) units.ResultsSpatial autocorrelation for violent crimes declined from tract to block scales (e.g., assaults, 0.61’”0.29), while effect sizes related to outlets increased (e.g.,+2% at the block group vs. +58% at the block level for assaults). Multiscale analyses revealed that outlet and population effects were highly localised with adjacent (spatial lagged) effects observed at the block level. Critically, effects related to block group measures (e.g., low median household income and poverty) were expressed in identifiable local blocks.ConclusionsInterpretations of crime effects related to neighbourhood conditions are conditional upon unit scale and resolution. Outlet effects are localised but exhibit important non-local (spatial lag) effects.Significance/Contribution to Injury and Violence Prevention ScienceMultiscale processes and patterns characterise links between alcohol environments and violent crime.
  • Publisher: London: BMJ Publishing Group LTD
  • Language: English
  • Identifier: ISSN: 1353-8047
    EISSN: 1475-5785
    DOI: 10.1136/injuryprev-2017-042560.129
  • Source: ProQuest Central
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