Cited by 268Nutrition and Health in AgingDiabetes, Cardiovascular Risks, and LipoproteinsBody Composition Measurement Techniques

Low skeletal muscle mass is associated with insulin resistance, diabetes, and metabolic syndrome in the Korean population: the Korea National Health and Nutrition Examination Survey (KNHANES) 2009–2010

Open access
Moon, Seong-Su·2014·Endocrine Journal

Abstract

Sarcopenia is an emerging risk factor for metabolic disorders. No study of the association of sarcopenia with insulin resistance, diabetes, and metabolic syndrome (MS) according to age group and obesity status in the general population has been reported. We investigated these associations in the Korean population. Participants included 4558 males and 5874 females, who were ≥20 years of age or older from the fourth and fifth Korea National Health and Nutritional Examination Surveys of the Korean population (2009 and 2010). Age was categorized according to three groups (20-39, 40-59, and ≥ 60 years). Obesity was defined according to body mass index. Sarcopenia was defined as the appendicular skeletal muscle mass (ASM) divided by weight (Wt) (%) of > 2SD below the sex-specific mean for young adults. Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated. After adjustment for confounding variables, sarcopenia showed a significant association with HOMA-IR in the non-obese group (P<0.001). Sarcopenia was found to be a risk factor for diabetes in the non-obese group (OR, 2.140; 95% CI, 1.549-2.956; P<0.001). Sarcopenia also showed an association with MS in the non-obese group (OR, 2.209; 95% CI, 1.679-2.906; P<0.001), but not in the obese-group. However, these results were not relevant to young age group. In conclusion, sarcopenia showed an association with insulin resistance, diabetes, and MS, in the non-obese population. Sarcopenia may be an early predictor for diabetes and MS susceptibility in the non-obese population, particularly in elderly people.

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 · 10.1507/endocrj.ej13-0244

Cites

39 of 39 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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Muscle atrophy may impair physiological functions including glucose regulation, hormone production, and cellular communication.

    “While impaired locomotion is certainly the hallmark concern of sarcopenia, muscle atrophy may impair other physiological functions including glucose regulation, hormone production, and cellular communication.”

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

Cited by

Sorted by citations

Authors
Moon, S.-S.
Affiliations
Dongguk University (KR)
Corresponding author
Moon, Seong-Su
Venue
Endocrine Journal
Published
2014
Volume
61
Issue
1
Pages
61-70
ISSN
  • 0918-8959 (ISSN-L)
  • 1348-4540
OpenAlex
W1981204987
Cited by
268
References
39
Citations by year
2026: 10 · 2025: 13 · 2024: 21 · 2023: 17 · 2022: 31 · 2021: 27 · 2020: 35 · 2019: 21 · 2018: 19 · 2017: 17 · 2016: 19 · 2015: 24 · 2014: 14
FWCI
13.19
Type
journal article
Language
en
Open access
Locations
  • Endocrine Journal (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Korean Diabetes Association
  • Dongguk University
Topics
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
Keywords
sarcopenia, skeletal muscle mass, insulin resistance, type 2 diabetes, metabolic syndrome, obesity, appendicular skeletal muscle mass, HOMA-IR, Korean population, older adults
MeSH terms
Adult, Age Factors, Aging, Body Composition, Diabetes Mellitus, Female, Humans, Insulin Resistance, Male, Middle Aged, Nutrition Surveys, Obesity, Risk Factors, Exercise, Body Mass Index, Muscle, Skeletal, Metabolic Syndrome, Sarcopenia, Republic of Korea

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