ReviewEuropean journal of clinical nutrition2017
Impact of dietary glycemic challenge on fuel partitioning.
Review in European journal of clinical nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Effects of a low carbohydrate diet on energy expenditure during weight loss maintenance: randomized trial.BMJ (Clinical research ed.) · 2018Trial
- Trial
- Carbohydrate-insulin model: does the conventional view of obesity reverse cause and effect?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- The carbohydrate-insulin model: a physiological perspective on the obesity pandemic.The American journal of clinical nutrition · 2021Article
- Endogenous versus exogenous carbohydrate oxidation measured by stable isotopes in pre-pubescent children plusMetabolism open · 2020Article
- Lipotoxicity in Kidney, Heart, and Skeletal Muscle Dysfunction.Nutrients · 2019Review
- Pathways and mechanisms linking dietary components to cardiometabolic disease: thinking beyond calories.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2018Review
- The Carbohydrate-Insulin Model of Obesity: Beyond "Calories In, Calories Out".JAMA internal medicine · 2018Review
- High orange juice consumption with or in-between three meals a day differently affects energy balance in healthy subjects.Nutrition & diabetes · 2018Article
- Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The 'carbohydrate-insulin theory of obesity' is used to justify popular health claims stating that carbohydrates make you fat or a high glycemic load and consumption of sugar-sweetened beverages (SSBs) and breakfast skipping increase fat gain. According to this theory, the elevated postprandial insulin secretion to a high glycemic challenge is blamed as a causal mechanism by directing nutrients away from oxidation in muscle towards storage in adipose tissue. Scientific evidence is however largely disagreeing with an adverse effect of postprandial hyperinsulinemia on fuel partitioning. Possible reasons for this disagreement are differences in insulin sensitivity and energy balance. Diet-induced hyperinsulinemia may lead to a higher fat storage only at a positive energy balance. A shift in fuel partitioning towards fat storage requires improved or maintained insulin sensitivity in adipose tissue when compared with skeletal muscle. This may be the case during refeeding (after weight loss), physical inactivity or in metabolically healthy obese subjects (relative to insulin-resistant subjects). The adverse effect of a high-glycemic diet, SSBs consumption or breakfast skipping on body weight is likely due to increased energy consumption rather than to increased fat storage.
Indexed as
Identifiers
27901033What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.