Cited by 143Biochemical Analysis and Sensing TechniquesDiet, Metabolism, and DiseasePharmacology and Obesity Treatment

Nonnutritive sweeteners in weight management and chronic disease: a review

Open access
Sylvetsky, Allison C., Rother, Kristina I.·2018·Obesity

Abstract

Objective: The objective of this review was to critically review findings from recent studies evaluating the effects of nonnutritive sweeteners (NNSs) on metabolism, weight, and obesity‐related chronic diseases. Biologic mechanisms that may explain NNS effects will also be addressed. Methods: A comprehensive review of the relevant scientific literature was conducted. Results: Most cross‐sectional and prospective cohort studies report positive associations between NNS consumption, body weight, and health conditions, including type 2 diabetes, cardiovascular disease, and nonalcoholic fatty liver disease. Although findings in cellular and rodent models suggest that NNSs have harmful effects on metabolic health, most randomized controlled trials in humans demonstrate marginal benefits of NNS use on body weight, with little data available on other metabolic outcomes. Conclusions: NNS consumption is associated with higher body weight and metabolic disease in observational studies. In contrast, randomized controlled trials demonstrate that NNSs may support weight loss, particularly when used alongside behavioral weight loss support. Additional long‐term, well‐controlled intervention studies in humans are needed to determine the effects of NNSs on weight, adiposity, and chronic disease under free‐living conditions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/oby.22139

Cites

94 of 94 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [28]O’Connor L Imamura F Lentjes MA Khaw KT Wareham NJ Forouhi NG Prospective associations and population impact of sweet beverage intake and type 2 diabetes, and effects of substitutions with alternative beverages Diabetologia 2015 PMC4473082 25944371

Cited by

Sorted by citations

Authors
Sylvetsky, A. C., & Rother, K. I.
Affiliations
National Institutes of Health (US)
Corresponding author
Sylvetsky, Allison C.
Venue
Obesity
Publisher
Wiley
Published
2018-03-23
Volume
26
Issue
4
Pages
635-640
ISSN
  • 1930-7381 (ISSN-L)
  • 1930-739X
OpenAlex
W2794613736
Cited by
143
References
94
Citations by year
2026: 22 · 2025: 19 · 2024: 18 · 2023: 16 · 2022: 15 · 2021: 11 · 2020: 24 · 2019: 12 · 2018: 6
FWCI
1.70
Type
journal article
Language
en
Open access
Locations
  • Obesity (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • George Washington University
  • NIDDK
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Biochemical Analysis and Sensing Techniques
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
  • Health Sciences › Medicine › Pharmacology › Pharmacology and Obesity Treatment
Keywords
artificial sweeteners, weight management, type 2 diabetes, cardiovascular disease, non-alcoholic fatty liver disease, metabolic health, weight loss, adiposity, chronic disease
MeSH terms
Body Weight Maintenance, Body Weight, Chronic Disease, Female, Humans, Male, Obesity, Non-Nutritive Sweeteners

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review