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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-10 |
| Number of pages | 10 |
| Journal | International Journal of Food Sciences and Nutrition |
| DOIs | |
| State | Accepted/In press - Jan 9 2017 |
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Keywords
- adolescents
- Geospatial clustering
- spatial scan statistic
- sugary drink intake
ASJC Scopus subject areas
- Food Science
Cite this
Geospatial clustering in sugar-sweetened beverage consumption among Boston youth. / Tamura, Kosuke; Duncan, Dustin T.; Athens, Jessica K.; Bragg, Marie A.; Rienti, Michael; Aldstadt, Jared; Scott, Marc A.; Elbel, Brian.
In: International Journal of Food Sciences and Nutrition, 09.01.2017, p. 1-10.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Geospatial clustering in sugar-sweetened beverage consumption among Boston youth
AU - Tamura, Kosuke
AU - Duncan, Dustin T.
AU - Athens, Jessica K.
AU - Bragg, Marie A.
AU - Rienti, Michael
AU - Aldstadt, Jared
AU - Scott, Marc A.
AU - Elbel, Brian
PY - 2017/1/9
Y1 - 2017/1/9
N2 - 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.
AB - 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.
KW - adolescents
KW - Geospatial clustering
KW - spatial scan statistic
KW - sugary drink intake
UR - http://www.scopus.com/inward/record.url?scp=85009823712&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009823712&partnerID=8YFLogxK
U2 - 10.1080/09637486.2016.1276519
DO - 10.1080/09637486.2016.1276519
M3 - Article
SP - 1
EP - 10
JO - International Journal of Food Sciences and Nutrition
JF - International Journal of Food Sciences and Nutrition
SN - 0963-7486
ER -