Neighborhood Typologies Associated with Alcohol Use among Adults in Their 30s: a Finite Mixture Modeling Approach.
There has been increasing interest in how neighborhood context may be associated with alcohol use. This study uses finite mixture modeling to empirically identify distinct neighborhood subtypes according to patterns of clustering of multiple neighborhood characteristics and examine whether these sub...
| Publicado en: | Journal of Urban Health Vol. 94; no. 4; pp. 542 - 549 |
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| Autores principales: | , , , , |
| Formato: | journal article |
| Publicado: |
Springer Nature
Aug2017
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=124377240&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 124377240 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10993460 GMF jtl: Journal of Urban Health issn: 10993460 maglogo: N pubinfo: dt: Aug2017 vid: 94 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 124377240 10.1007/s11524-017-0161-2 ppf: 542 ppct: 7 formats: fmt: @attributes: type: P size: 360KB tig: atl: Neighborhood Typologies Associated with Alcohol Use among Adults in Their 30s: a Finite Mixture Modeling Approach. aug: au: Rhew, Isaac Kosterman, Rick Lee, Jungeun Rhew, Isaac C Lee, Jungeun Olivia affil: Department of Psychiatry and Behavioral Sciences, Center for the Study of Health and Risk Behaviors , University of Washington , Seattle 98195 USA Social Development Research Group , University of Washington , 9725 3rd Ave NE, Suite 401 Seattle 98115 USA School of Social Work , University of Southern California , 669 W 34th St, Montgomery Ross Fisher, #325 Los Angeles 90089 USA Department of Psychiatry and Behavioral Sciences, Center for the Study of Health and Risk Behaviors, University of Washington, Box 354944, Seattle, WA, 98195, USA School of Social Work, University of Southern California, 669 W 34th St, Montgomery Ross Fisher, #325, Los Angeles, CA, 90089, USA su: Washington (State) Alcohol drinking Psychological typologies Neighborhoods Demographic characteristics Poverty City dwellers Residential patterns Socioeconomic factors Research funding Statistical models sug: subj: Alcohol drinking Psychological typologies Neighborhoods Demographic characteristics Poverty City dwellers Residential patterns Socioeconomic factors Washington (State) Drinking Places (Alcoholic Beverages) Research funding Statistical models keyword: Alcohol Finite mixture model Latent class analysis Neighborhood context Alcohol Finite mixture model Latent class analysis Neighborhood context ab: There has been increasing interest in how neighborhood context may be associated with alcohol use. This study uses finite mixture modeling to empirically identify distinct neighborhood subtypes according to patterns of clustering of multiple neighborhood characteristics and examine whether these subtypes are associated with alcohol use. Neighborhoods were 303 census block groups in the greater Seattle, WA, area where 531 adults participating in an ongoing longitudinal study were residing in 2008. Neighborhood characteristics used to identify neighborhood subtypes included concentration of poverty, racial composition, neighborhood disorganization, and availability of on-premise alcohol outlets and off-premise hard liquor stores. Finite mixture models were used to identify latent neighborhood subtypes, and regression models with cluster robust standard errors examined associations between neighborhood subtypes and individual-level typical weekly drinking and number of past-year binge drinking episodes. Five neighborhood subtypes were identified. These subtypes could be primarily characterized as (1) high socioeconomic disadvantage, (2) moderate disadvantage, (3) low disadvantage, (4) low poverty and high disorganization, and (5) high alcohol availability. Adjusted for covariates, adults living in neighborhoods characterized by high disadvantage reported the highest levels of typical drinking and binge drinking compared to those from other neighborhood subtypes. Neighborhood subtypes derived from finite mixture models may represent meaningful categories that can help identify residential areas at elevated risk for alcohol misuse. pubtype: Academic Journal doctype: journal article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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