Geospatial clustering in sugar-sweetened beverage consumption among Boston youth

Kosuke Tamura, Dustin T. Duncan, Jessica K. Athens, Marie A. Bragg, Michael Rienti, Jared Aldstadt, Marc A. Scott, Brian Elbel

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)719-725
Number of pages7
JournalInternational Journal of Food Sciences and Nutrition
Issue number6
StatePublished - Aug 18 2017


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

ASJC Scopus subject areas

  • Food Science


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