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Sugar-Sweetened Beverages and Weight Gain in 2- to 5-Year-Old Children
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BACKGROUND AND OBJECTIVE: Although sugar-sweetened beverage (SSB) consumption has been tightly linked to weight status among older children, the data regarding these relationships in children aged 2 to 5 years have been mixed. Our objective was to evaluate longitudinal and cross-sectional relationships between SSB consumption and weight status among children aged 2 to 5 years. METHODS: We assessed SSB consumption and BMI z scores among 9600 children followed in the Early Childhood Longitudinal Survey—Birth Cohort, using linear and logistic regression and adjusting for race/ethnicity, socioeconomic status, mother’s BMI, and television viewing. RESULTS: Higher rates of SSB consumption were associated with higher BMI z scores among children age 4 (P < .05) and 5 (P < .001) but not yet at 2 years. Children aged 5 years who drank SSB regularly (compared with infrequent/nondrinkers) had a higher odds ratio for being obese (1.43, confidence interval 1.10–1.85, P < .01). In prospective analysis, children drinking SSB at 2 years (compared with infrequent/nondrinkers) had a greater subsequent increase in BMI z score over the ensuing 2 years (P < .05). CONCLUSIONS: Similar to what is seen among older children, children aged 2 to 5 years drinking SSB demonstrate both prospective and cross-sectional correlations with higher BMI z score. Pediatricians and parents should discourage SSB consumption to help avoid potential unhealthy weight gain in young children. From a public health standpoint, strong consideration should be made toward policy changes leading to decreases in SSB consumption among children.
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“For example, among a nationally representative survey of 2 to 5 year olds in the U.S., children who consumed more than one SSB serving (serving = 8 fluid ounces) per day at 2 years old had a significantly greater increase in BMI z-score over the next 2 years compared to infrequent/non SSB drinkers [38].”
From The negative impact of sugar-sweetened beverages on children’s health: an update of the literature (2018) · cites this paper as [38]
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Metadata
- Authors
- DeBoer, M. D., Scharf, R. J., & Demmer, R. T.
- Affiliations
- Divisions of Pediatric Endocrinology and
- University of Virginia (US)
- Columbia University (US)
- Venue
- Pediatrics
- Publisher
- American Academy of Pediatrics (AAP)
- Published
- 2013-09-01
- Volume
- 132
- Issue
- 3
- Pages
- 413-420
- ISSN
- 0031-4005 (ISSN-L)
- 1098-4275
- PMC
- PMC3876761
- OpenAlex
- W2137870987
- Cited by
- 176
- References
- 42
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 11 · 2022: 10 · 2021: 10 · 2020: 20 · 2019: 19 · 2018: 20 · 2017: 22 · 2016: 16 · 2015: 20 · 2014: 17 · 2013: 4
- FWCI
- 19.38
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- PEDIATRICS (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (K08HD060739)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- sugar-sweetened beverages, childhood obesity, weight gain, BMI z-score, toddlers, preschool children, Early Childhood Longitudinal Study, beverage consumption, television viewing, socioeconomic status, race and ethnicity
- MeSH terms
- Age Factors, Beverages, Child, Preschool, Cross-Sectional Studies, Health Surveys, Humans, Longitudinal Studies, Obesity, Risk Factors, United States, Cohort Studies, Weight Gain, Body Mass Index, Dietary Sucrose, Overweight
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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