Observational studyPediatric diabetes2020
Dietary strategies to manage diabetes and glycemic control in youth and young adults with youth-onset type 1 and type 2 diabetes: The SEARCH for diabetes in youth study.
Observational study in Pediatric diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
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Who cites it
7 citing papers in PubMed.
- Association between Baltic sea diet and healthy Nordic diet index with risk of type 2 diabetes mellitus: a case-control study.Frontiers in endocrinology · 2025Article
- Influence of disease course and comprehensive management on blood glucose level in children and adolescents with type 2 diabetes mellitus.Journal of diabetes investigation · 2024Article
- Experiences With Outpatient Nutrition Services Among Caregivers of Youth With Type 1 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2024Article
- Diabetic kidney disease in children and adolescents: an update.Pediatric nephrology (Berlin, Germany) · 2022Review
- Article
- Association of Insulin Regimen and Estimated Body Fat Over Time among Youths and Young Adults with Type 1 Diabetes: The SEARCH for Diabetes in Youth Study.Journal of diabetes research · 2022Article
- Twenty years of pediatric diabetes surveillance: what do we know and why it matters.Annals of the New York Academy of Sciences · 2021Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
aimsExamine associations of dietary strategies used to manage diabetes over time with hemoglobin A1c in youth-onset type 1 or type 2 diabetes.
methodsThe SEARCH for Diabetes in Youth observational study assessed dietary strategies used by 1814 participants with diabetes (n = 1558 type 1, n = 256 type 2) at two to three research visits over 5.5 years (range 1.7-12.2). Participants reported often, sometimes, or never using 10 different dietary strategies, and use over time was categorized into five mutually exclusive groups: often using across visits; started using at later visits; sometimes using across visits; stopped using at later visits; or never using across visits. General multivariable linear models evaluated most recent A1c by use category for each strategy.
resultsIn type 1 diabetes, A1c was lower among those who starting tracking calories (-0.4%, Tukey P < .05), often counted carbs (-0.8%, Tukey P < .001), or sometimes chose low glycemic index foods (-0.5%, Tukey P = .02) vs those with less use, while participants who never drank more milk had the lowest A1c (-0.5%, Tukey P = .04). In type 2 diabetes, A1c was lower among those who often limited high fat foods (-2.0%, Tukey P = .02) or started counting carbohydrates (-1.7%, Tukey P = .07) than those who did so less.
conclusionsFor several dietary strategies, more frequent use over time was related to lower A1c in youth-onset type 1 and type 2 diabetes, suggesting these strategies can likely support diabetes management for this population. Investigation into factors predicting receipt of advice for specific strategies and corresponding impact on intake might be considered.
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