Neighborhood socioeconomic characteristics, the retail environment, and alcohol consumption: A multilevel analysis

被引:23
|
作者
Shimotsu, Scott T. [1 ]
Jones-Webb, Rhonda J. [2 ]
MacLehose, Richard F. [2 ]
Nelson, Toben F. [2 ]
Forster, Jean L. [2 ]
Lytle, Leslie A. [2 ]
机构
[1] Hennepin Cty Med Ctr, Minneapolis, MN 55415 USA
[2] Univ Minnesota, Div Epidemiol & Community Hlth, Minneapolis, MN 55454 USA
关键词
Alcohol consumption; Binge drinking; Neighborhood characteristics; Retail environment; Alcohol outlet density; OUTLET DENSITY; QUANTITY-FREQUENCY; FOOD ENVIRONMENT; NATIONAL-HEALTH; UNITED-STATES; DIET QUALITY; RISK-FACTORS; LOS-ANGELES; DRINKING; AVAILABILITY;
D O I
10.1016/j.drugalcdep.2013.03.010
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Background: The neighborhoods where people live can influence their drinking behavior. We hypothesized that living in a neighborhood with lower median income, higher alcohol outlet density, and only liquor stores and no grocery stores would be associated with higher alcohol consumption after adjusting for individual demographic and lifestyle factors. Methods: We used two self-report measures to assess alcohol consumption in a sample of 9959 adults living in a large Midwestern county: volume of alcohol consumed (count) and binge drinking (5 or more drinks vs. <5 drinks). We measured census tract median annual household income based on U.S. Census data. Alcohol outlet density was measured using the number of liquor stores divided by the census tract roadway miles. The mix of liquor and food stores in census tracts was assessed using a categorical variable based on the number of liquor and number of food stores using data from InfoUSA. Weighted hierarchical linear and Poisson regression were used to test our study hypothesis. Results: Retail mix was associated with binge drinking. Individuals living in census tracts with only liquor stores had a 46% higher risk of binge drinking than individuals living in census tracts with food stores only after controlling for demographic and lifestyle factors. Conclusion: Census tract characteristics such as retail mix may partly explain variability in drinking behavior. Future research should explore the mix of stores, not just the over-concentration of liquor stores in census tracts. Published by Elsevier Ireland Ltd.
引用
收藏
页码:449 / 456
页数:8
相关论文
共 50 条
  • [21] Assessing Intertemporal Socioeconomic Inequalities in Alcohol Consumption in South Africa
    Fontes Marx, Mayara
    London, Leslie
    Harker, Nadine
    Ataguba, John E.
    FRONTIERS IN PUBLIC HEALTH, 2021, 9
  • [22] The emerging marijuana retail environment: Key lessons learned from tobacco and alcohol retail research
    Berg, Carla J.
    Henriksen, Lisa
    Cavazos-Rehg, Patricia A.
    Haardoerfer, Regine
    Freisthler, Bridget
    ADDICTIVE BEHAVIORS, 2018, 81 : 26 - 31
  • [23] Associations of Alcohol and Tobacco Retail Outlet Rates with Neighborhood Disadvantage
    Wheeler, David C.
    Boyle, Joseph
    Barsell, D. Jeremy
    Glasgow, Trevin
    McClernon, F. Joseph
    Oliver, Jason A.
    Fuemmeler, Bernard F.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (03)
  • [24] Alcohol Outlets, Neighborhood Retail Environments, and Pedestrian Injury Risk
    Nesoff, Elizabeth D.
    Milam, Adam J.
    Branas, Charles C.
    Martins, Silvia S.
    Knowlton, Amy R.
    Furr-Holden, Debra M.
    ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2018, 42 (10) : 1979 - 1987
  • [25] Neighborhood Disadvantage, High Alcohol Content Beverage Consumption, Drinking Norms, and Drinking Consequences: A Mediation Analysis
    Jones-Webb, Rhonda
    Karriker-Jaffe, Katherine J.
    JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE, 2013, 90 (04): : 667 - 684
  • [26] Association of mass media exposure and alcohol consumption apropos alcohol-advertisement ban in India: multilevel analysis of panel data
    Rashmi, Rashmi
    Paul, Ronak
    Srivastava, Shobhit
    JOURNAL OF SUBSTANCE USE, 2023, 28 (03) : 379 - 388
  • [27] Incidence of Stroke and Socioeconomic Neighborhood Characteristics An Ecological Analysis of Dijon Stroke Registry
    Grimaud, Olivier
    Bejot, Yannick
    Heritage, Zoe
    Vallee, Julie
    Durier, Jerome
    Cadot, Emmanuelle
    Giroud, Maurice
    Chauvin, Pierre
    STROKE, 2011, 42 (05) : 1201 - 1206
  • [28] Socioeconomic inequalities in alcohol consumption in Chile and Finland
    Pena, Sebastian
    Makela, Pia
    Valdivia, Gonzalo
    Helakorpi, Satu
    Markkula, Niina
    Margozzini, Paula
    Koskinen, Seppo
    DRUG AND ALCOHOL DEPENDENCE, 2017, 173 : 24 - 30
  • [29] Spatial Disparity of Neighborhood Food Environment by Socioeconomic Status: Application of Urban Network Analysis
    Seong, Taekyung
    Lee, Sugie
    LAND, 2024, 13 (06)
  • [30] Association of Neighborhood Alcohol Environment With Alcohol Intake and Cardiovascular Risk Factors in India: Cross-Sectional Evidence From APCAPS
    Li, Yingjun
    Mallinson, Poppy Alice Carson
    Aggarwal, Aastha
    Kulkarni, Bharati
    Kinra, Sanjay
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9