title: Geospatial clustering in sugar-sweetened beverage consumption among Boston youth.
abstract: The objective was to detect geospatial clustering of sugar-sweetened beverage (SSB) intake in Boston adolescents (age = 16.3 ± 1.3 years [range: 13-19]; female = 56.1%; White = 10.4%, Black = 42.6%, Hispanics = 32.4%, and others = 14.6%) using spatial scan statistics. We used data on self-reported SSB intake from the 2008 Boston Youth Survey Geospatial Dataset (n = 1292). Two binary variables were created: consumption of SSB (never versus any) on (1) soda and (2) other sugary drinks (e.g., lemonade). A Bernoulli spatial scan statistic was used to identify geospatial clusters of soda and other sugary drinks in unadjusted models and models adjusted for age, gender, and race/ethnicity. There was no statistically significant clustering of soda consumption in the unadjusted model. In contrast, a cluster of non-soda SSB consumption emerged in the middle of Boston (relative risk = 1.20, p = .005), indicating that adolescents within the cluster had a 20% higher probability of reporting non-soda SSB intake than outside the cluster. The cluster was no longer significant in the adjusted model, suggesting spatial variation in non-soda SSB drink intake correlates with the geographic distribution of students by race/ethnicity, age, and gender.
authors.affiliation: a Department of Population Health, New York University School of Medicine , New York , NY , USA.
authors.forename: Kosuke
authors.identifier: http://orcid.org/0000-0002-4920-2856
authors.initials: K
authors.lastname: Tamura
authors.affiliation: a Department of Population Health, New York University School of Medicine , New York , NY , USA.|b College of Global Public Health , New York University , New York , NY , USA.
authors.forename: Dustin T
authors.initials: DT
authors.lastname: Duncan
authors.affiliation: a Department of Population Health, New York University School of Medicine , New York , NY , USA.
authors.forename: Jessica K
authors.initials: JK
authors.lastname: Athens
authors.affiliation: a Department of Population Health, New York University School of Medicine , New York , NY , USA.|b College of Global Public Health , New York University , New York , NY , USA.
authors.forename: Marie A
authors.initials: MA
authors.lastname: Bragg
authors.affiliation: c Department of Geography , University at Buffalo, State University of New York , Buffalo , NY , USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Rienti
authors.affiliation: c Department of Geography , University at Buffalo, State University of New York , Buffalo , NY , USA.
authors.forename: Jared
authors.initials: J
authors.lastname: Aldstadt
authors.affiliation: b College of Global Public Health , New York University , New York , NY , USA.|d Center for the Promotion of Research Involving Innovative Statistical Methodology (PRIISM), New York University , New York , NY , USA.
authors.forename: Marc A
authors.initials: MA
authors.lastname: Scott
authors.affiliation: a Department of Population Health, New York University School of Medicine , New York , NY , USA.|e Wagner Graduate School of Public Service , New York University , New York , NY , USA.
authors.forename: Brian
authors.initials: B
authors.lastname: Elbel
mesh_terms: D000293:Adolescent; D001628:Beverages / Q000032:analysis*; D001835:Body Weight; D001900:Boston; D016000:Cluster Analysis; D004032:Diet; D000073417:Dietary Sugars / Q000008:administration & dosage*; D005260:Female; D006801:Humans; D008297:Male; D009749:Nutrition Surveys; D064427:Nutritive Sweeteners / Q000008:administration & dosage*; D057566:Self Report; D062206:Spatial Analysis; D013334:Students; D055815:Young Adult
chemical_list: D000073417:Dietary Sugars; D064427:Nutritive Sweeteners
keywords: Geospatial clustering; adolescents; spatial scan statistic; sugary drink intake