Cited by 452Nutrition and Health in AgingMuscle metabolism and nutritionMuscle Physiology and Disorders

The DOI matches its Crossref record; 144 of the 146 references it cites were found in a registry or an index; 66 of the 115 sources its claims cite were checked for support.

Preserving Healthy Muscle during Weight Loss

Open access
Cava, Edda, Yeat, Nai Chien, Mittendorfer, Bettina·2017·Advances in Nutrition

Abstract

Weight loss is the cornerstone of therapy for people with obesity because it can ameliorate or completely resolve the metabolic risk factors for diabetes, coronary artery disease, and obesity-associated cancers. The potential health benefits of diet-induced weight loss are thought to be compromised by the weight-loss-associated loss of lean body mass, which could increase the risk of sarcopenia (low muscle mass and impaired muscle function). The objective of this review is to provide an overview of what is known about weight-loss-induced muscle loss and its implications for overall physical function (e.g., ability to lift items, walk, and climb stairs). The currently available data in the literature show the following: 1 ) compared with persons with normal weight, those with obesity have more muscle mass but poor muscle quality; 2 ) diet-induced weight loss reduces muscle mass without adversely affecting muscle strength; 3 ) weight loss improves global physical function, most likely because of reduced fat mass; 4 ) high protein intake helps preserve lean body and muscle mass during weight loss but does not improve muscle strength and could have adverse effects on metabolic function; 5 ) both endurance- and resistance-type exercise help preserve muscle mass during weight loss, and resistance-type exercise also improves muscle strength. We therefore conclude that weight-loss therapy, including a hypocaloric diet with adequate (but not excessive) protein intake and increased phy…

Overview

Integrity signals

Registry

Crossref · 10.3945/an.116.014506

Cites

144 of 144 references verified0 citation errors · 0 not checkable

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Verification

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16 Partly supported · 9 Sources not found · 6 Own interpretation · 2 No full text of the sources · 1 Supported · 1 Supported so far · 1 Mixed support · 1 Not checked yet · accuracy not yet measured

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Metadata

Authors
Cava, E., Yeat, N. C., & Mittendorfer, B.
Affiliations
Washington University in St. Louis (US)
Corresponding author
Mittendorfer, Bettina
Venue
Advances in Nutrition
Publisher
Elsevier BV
Published
2017-05
Volume
8
Issue
3
Pages
511-519
ISSN
  • 2156-5376 (ISSN-L)
  • 2161-8313
OpenAlex
W2615166425
Cited by
452
References
146
Citations by year
2026: 90 · 2025: 87 · 2024: 81 · 2023: 45 · 2022: 62 · 2021: 37 · 2020: 26 · 2019: 14 · 2018: 5 · 2017: 5
FWCI
1.68
Type
journal article
Language
en
Open access
Locations
  • Advances in Nutrition (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
Funders
  • Rural Development Administration
  • National Institutes of Health (UL1TR000448, DK56341, TR000448, UL1TR002345)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK094483, P30DK056341)
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
  • Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
Keywords
weight loss, obesity, sarcopenia, lean body mass, muscle mass, muscle strength, physical function, protein intake, resistance training, endurance exercise, hypocaloric diet, fat mass, muscle quality
MeSH terms
Body Composition, Diet, Reducing, Dietary Proteins, Humans, Obesity, Weight Loss, Exercise, Body Mass Index, Muscle, Skeletal, Muscle Strength, Sarcopenia

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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.

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