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Int J Food Sci Nutr. 2017 Sep;68(6):719-725. doi: 10.1080/09637486.2016.1276519. Epub 2017 Jan 17.

Geospatial clustering in sugar-sweetened beverage consumption among Boston youth.

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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.
c Department of Geography , University at Buffalo, State University of New York , Buffalo , NY , USA.
d Center for the Promotion of Research Involving Innovative Statistical Methodology (PRIISM), New York University , New York , NY , USA.
e Wagner Graduate School of Public Service , New York University , New York , NY , USA.


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.


Geospatial clustering; adolescents; spatial scan statistic; sugary drink intake

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