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Published on: August 12, 2016
Demographic Groups Likely Affected by Regulating Sugar-Sweetened Beverage Portion Sizes
Natalie R Smith1, Anna H Grummon2, Leah M Frerichs3
1Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina; Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina.
Portion-size regulations for sugar-sweetened beverages disproportionately affect younger, male, and less-educated adults. Broader regulations encompassing more food sources will impact larger population segments.
Area of Science:
- Public Health
- Nutrition Policy
- Obesity Prevention
Background:
- Sugar-sweetened beverages (SSBs) are a significant contributor to the obesity epidemic.
- Current portion-size regulations for SSBs typically cap container volumes at 16 fluid ounces.
- The demographic impact of these regulations remains largely unexamined.
Purpose of the Study:
- To evaluate the demographic groups most likely to be affected by hypothetical national portion-size regulations for SSBs.
- To model the impact of regulations based on existing policies from New York City and California.
Main Methods:
- Utilized data from the National Health and Nutrition Examination Survey (2013–2016) for adults aged 18–65.
- Defined 'affected' individuals as those consuming SSBs exceeding 16 fluid ounces from regulated sources.
- Analyzed demographic associations (age, sex, race/ethnicity, education, income) using logistic regression.
Main Results:
- Portion-size regulations could affect 8.87% (NYC scope) to 14.71% (CA scope) of adults.
- Younger adults (<35 years), males, and those without a college degree were disproportionately affected (p<0.05).
- Broader policy scopes (including convenience stores) showed a larger impact across demographic groups.
Conclusions:
- Portion-size regulations for SSBs are likely to have a greater impact on younger, male, and less-educated populations.
- The scope of food sources included in regulations significantly influences the magnitude of their effect.
- Policy design should consider these demographic disparities for equitable public health outcomes.
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