The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Fructose consumption and consequences for glycation, plasma triacylglycerol, and body weight: meta-analyses and meta-regression models of intervention studies
Open accessAbstract
BACKGROUND: The glycemic response to dietary fructose is low, which may improve concentrations of glycated hemoglobin (HbA(1c), a marker of dysglycemia). Meanwhile, adverse effects on plasma triacylglycerol (a marker of dyslipidemia) and body weight have been questioned. Such effects are reported inconsistently. OBJECTIVE: We aimed to evaluate the effect of fructose on these health markers, particularly examining treatment dose and duration, and level of glycemic control. DESIGN: A literature search was conducted for relevant randomized and controlled intervention studies of crystalline or pure fructose (excluding high-fructose corn syrup), data extraction, meta-analyses, and modeling using meta-regression. RESULTS: Fructose intake < 90 g/d significantly improved HbA(1c) concentrations dependent on the dose, the duration of study, and the continuous severity of dysglycemia throughout the range of dysglycemia. There was no significant change in body weight at intakes <100 g fructose/d. Fructose intakes of <50 g/d had no postprandially significant effect on triacylglycerol and those of or=100 g fructose/d, the effect on fasting triacylglycerol depended on whether sucrose or starch was being exchanged with fructose, and the effect was dose-dependent but was less with increasing duration of treatment. Different health types and sources of bias were examined; they showed no significant departure from a general trend. CONCLUSIONS: The meta-analysis shows that fructose intakes from 0 to >or=90 g/d have a beneficial effect on HbA(1c). Significant effects on postprandial triacylglycerols are not evident unless >50 g fructose/d is consumed, and no significant effects are seen for fasting triacylglycerol or body weight with intakes of
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Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Assessing the quality of reports of randomized clinical trials: Is blinding necessary?
Jadad, A. R., Moore, R. A., Carroll, D., Jenkinson, C., Reynolds, D. J. M., Gavaghan, D. J., & McQuay, H. J. (1996) · Controlled Clinical Trials · doi:10.1016/0197-2456(95)00134-4 · Cited by 17,582
Stratton, I. M. (2000) · BMJ · doi:10.1136/bmj.321.7258.405 · Cited by 9,059
Grading quality of evidence and strength of recommendations
(2004) · BMJ · doi:10.1136/bmj.328.7454.1490 · Cited by 8,477
Trumbo (2001) · doi:10.1016/s0002-8223(01)00078-5 · Cited by 4,852
Systematic Reviews in Health Care : Meta-Analysis in Context
Egger, M., Smith, G. D., & Altman, D. G. (2000) · Cited by 2,312
Nordestgaard, B. G., Benn, M., Schnohr, P., & Tybjærg-Hansen, A. (2007) · JAMA · doi:10.1001/jama.298.3.299 · Cited by 2,058
Consumption of high-fructose corn syrup in beverages may play a role in the epidemic of obesity
Bray, G. A., Nielsen, S. J., & Popkin, B. M. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.4.537 · Cited by 1,990
Bantle (2008) · doi:10.2337/dc08-s061 · Cited by 1,795
Cited by
Garvey, W. T., Mechanick, J. I., Brett, E. M., Garber, A. J., Hurley, D. L., Jastreboff, A. M., Nadolsky, K., Pessah-Pollack, R., & Plodkowski, R. (2016) · Endocrine Practice · doi:10.4158/ep161365.gl · Cited by 1,914
Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association
Miller, M., Stone, N. J., Ballantyne, C., Bittner, V., Criqui, M. H., Ginsberg, H. N., Goldberg, A. C., Howard, W. J., Jacobson, M. S., Kris-Etherton, P. M., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182160726 · Cited by 1,871
Te Morenga, L., Mallard, S., & Mann, J. (2012) · BMJ · doi:10.1136/bmj.e7492 · Cited by 1,629
Metabolic Effects of Fructose and the Worldwide Increase in Obesity
Tappy, L., & Lê, K.-A. (2010) · Physiological Reviews · doi:10.1152/physrev.00019.2009 · Cited by 1,256
Nutrition therapy recommendations for the management of adults with diabetes
Evert, A. B., Boucher, J. L., Cypress, M., Dunbar, S. A., Franz, M. J., Mayer-Davis, E. J., Neumiller, J. J., Nwankwo, R., Verdi, C. L., Urbanski, P., et al. (2013) · Diabetes Care · doi:10.2337/dc13-2042 · Cited by 1,129
Metadata
- Authors
- Livesey, G., & Taylor, R.
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 88
- Issue
- 5
- Pages
- 1419-1437
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2139136899
- Cited by
- 265
- References
- 82
- FWCI
- 7.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Livesey, G., & Taylor, R. (2008). Fructose consumption and consequences for glycation, plasma triacylglycerol, and body weight: meta-analyses and meta-regression models of intervention studies. The American Journal of Clinical Nutrition. https://doi.org/10.3945/ajcn.2007.25700
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