Geospatial clustering in sugar-sweetened beverage consumption among Boston youth. (18th August 2017)

• Record Type: Journal Article
• Authors: Tamura, Kosuke; Duncan, Dustin T.; Athens, Jessica K.; Bragg, Marie A.; Rienti, Michael; Aldstadt, Jared; Scott, Marc A.; Elbel, Brian
• Is Part Of: International journal of food sciences and nutrition. Volume 68:Number 6(2017)
• Page Start: 719
• Page End: 725
• Publication Date: 2017-08-18
• Subjects: Geospatial clustering -- spatial scan statistic -- sugary drink intake -- adolescents; Food -- Analysis -- Periodicals; Nutrition -- Periodicals; 641.3
• DOI: 10.1080/09637486.2016.1276519
• Languages: English
• ISSNs: 0963-7486

Abstract

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.