Sugar-Sweetened Beverage Intake Trends in US Adolescents and Their Association with Insulin Resistance-Related Parameters
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The purpose of this study was to evaluate current sugar-sweetened beverage (SSB) consumption trends and their association with insulin resistance-related metabolic parameters and anthropometric measurements by performing a cross-sectional analysis of the NHANES data during the years 1988–1994 and 1999–2004. Main outcome measures included SSB consumption trends, a homeostasis model assessment of insulin resistance, blood pressure, waist circumference, body mass index, and fasting concentrations of total cholesterol, HDL-cholesterol, LDL-cholesterol, and triglycerides. Although overall SSB consumption has increased, our data suggest that this increase was primarily due to an increase in the amount of SSBs consumed by males in the high-SSB intake group alone. Multivariate linear regression analyses also showed that increased SSB consumption was independently associated with many adverse health parameters. Factors other than SSB consumption must therefore be contributing to the increasing prevalence of obesity and metabolic syndrome in the majority of US children.
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Among 12 to 19 year olds in the 1999-2004 NHANES, each additional SSB serving (250 g) consumed per day was associated with a 0.93-percentile increase in BMI z-score.
“For example, among 12 to 19 year olds in the 1999–2004 National Health and Nutritional Examination Survey (NHANES), each additional SSB serving (250 g) consumed per day was associated with a 0.93-percentile increase in Body Mass Index (BMI) z-score [34].”
From The negative impact of sugar-sweetened beverages on children’s health: an update of the literature (2018) · cites this paper as [34]
Among 12-19 year olds in NHANES, each additional SSB serving (250 g) consumed per day was associated with a 5% increase in HOMA-IR.
“For example, among 12–19 year olds in NHANES, each additional SSB serving (250 g) consumed per day was associated with a 5% increase in HOMA-IR (a marker of insulin resistance which is calculated using fasting glucose and insulin levels) [55].”
From The negative impact of sugar-sweetened beverages on children’s health: an update of the literature (2018) · cites this paper as [55]
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Addressing Sugar-Sweetened Beverages and Their Impact on Pediatric Oral and Systemic Health
Watanabe, M. K., Wong, E., Rapisura, K. P., & Parado, T. J. (2020) · Journal of the California Dental Association · doi:10.1080/19424396.2020.12222635
d-Threitol alleviates symptoms of diabetes in db/db mice by reducing hepatic ceramide levels
Li, Q., Xu, S., Li, T., Lin, C. S. K., & Cheng, H. (2026) · Journal of Functional Foods · doi:10.1016/j.jff.2026.107261
- Authors
- Bremer, A. A., Auinger, P., & Byrd, R. S.
- Affiliations
- University of California Davis Medical Center (US)
- University of Rochester Medicine (US)
- Corresponding author
- Bremer, Andrew A.
- Venue
- Journal of Nutrition and Metabolism
- Publisher
- Wiley
- Published
- 2010
- Volume
- 2010
- Pages
- 1-8
- ISSN
- 2090-0724 (ISSN-L)
- 2090-0732
- PMC
- PMC2911593
- OpenAlex
- W2001464035
- Cited by
- 55
- References
- 49
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2022: 4 · 2021: 6 · 2020: 5 · 2019: 3 · 2018: 6 · 2017: 1 · 2016: 2 · 2015: 3 · 2014: 4 · 2013: 5 · 2012: 5
- FWCI
- 4.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Nutrition and Metabolism (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Center for Research Resources (KL2 RR024144, UL1 RR024146)
- 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, adolescent beverage consumption, insulin resistance, HOMA, metabolic syndrome, obesity, waist circumference, body mass index, blood pressure, lipid profile, triglycerides, NHANES
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