Cited by 3Diabetes, Cardiovascular Risks, and LipoproteinsBody Composition Measurement TechniquesHIV-related health complications and treatments

Skeletal Muscle Mass is Associated with HDL Cholesterol Levels and the Ratio of LDL to HDL Cholesterol in Young Men: A Pilot Study

Open access
Minje Ji, Yeonhwi Kim, Sewon Lee·2022·Journal of Men's Health

Abstract

Background: It is unclear whether greater skeletal muscle mass is beneficial for improving cardiometabolic health in young individuals. Our purpose was to investigate the association between skeletal muscle mass and cardiometabolic risk factors in young males. Methods: Data were collected from thirty-seven young males (23.2 ± 0.3 years). Participants were categorized based on skeletal muscle mass (skeletal muscle index-percentile score, SMI-PS) assessed by bioelectrical impedance analysis. They were divided into two group: standard skeletal muscle mass group (SMG, n = 17, SMI-PS = 102.2 ± 1.0%), high skeletal muscle mass group (HMG, n = 20, SMI-PS = 120.5 ± 1.8%). Arterial stiffness assessed by brachial-ankle pulse wave velocity (baPWV) and blood parameters including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), fasting glucose (FG) and hemoglobin A1c (HbA1c) were assessed. Results: The level of HDL-C in HMG was significantly higher compared to SMG (p < 0.001), whereas the ratio of LDL-C to HDL-C in HMG was significantly lower compared to SMG (p < 0.001). However, no changes in baPWV, TC, LDL-C, TG, FG, and HbA1c were found between groups. Interestingly, there was a positive correlation between SMI-PS and HDL-C (r = 0.469, p = 0.003), whereas there was a negative correlation between SMI-PS and LDL-C/HDL-C (r = –0.38, p = 0.02). Conclusions: This study suggests that an increase in skeletal muscle mass may have an additive benefit on improving lipid components through the increased HDL-C level and decreased the ratio of LDL-C to HDL-C in young men.

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 · 10.31083/j.jomh1808171

Cites

42 of 42 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?

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: 10

  1. Lexell J, Taylor CC, Sjöström M. What is the cause of the ageing atrophy? Total number, size and proportion of different fiber types studied in whole vastus lateralis muscle from 15-to 83- year-old men. Journal of the Neurological Sciences. 1988; 84: 275-294.
  2. Jensen GL. Inflammation: Roles in Aging and Sarcopenia. Jour- nal of Parenteral and Enteral Nutrition. 2008; 32: 656-659.
  3. Loria CM, Liu K, Lewis CE, Hulley SB, Sidney S, Schreiner PJ, et al. Early adult risk factor levels and subsequent coronary artery calcification: the CARDIA Study. Journal of the Ameri- can College of Cardiology. 2007; 49: 2013-2020.
  4. Phillips SM. Physiologic and molecular bases of muscle hy- pertrophy and atrophy: impact of resistance exercise on hu- man skeletal muscle (protein and exercise dose effects). Applied Physiology, Nutrition and Metabolism. 2009; 34: 403-410.
  5. American College of Sports Medicine. American College of Sports Medicine position stand. Progression models in resis- tance training for healthy adults. Medicine and Science in Sports and Exercise. 2009; 41: 687-708.
  6. Kim TN, Park MS, Lee EJ, Chung HS, Yoo HJ, Kang HJ, et al. The association of low muscle mass with soluble receptor for ad- vanced glycation end products (sRAGE): the Korean Sarcopenic Obesity Study (KSOS). Diabetes/Metabolism Research and Re- views. 2018; 34: e2974.
  7. Suwa M, Nakano H, Radak Z, Kumagai S. Endurance exer- cise increases the SIRT1 and peroxisome proliferator-activated receptor gamma coactivator-1alpha protein expressions in rat skeletal muscle. Metabolism. 2008; 57: 986-998.
  8. Benetos A, Safar M, Rudnichi A, Smulyan H, Richard JL, Ducimetieère P, et al. Pulse pressure: a predictor of long-term cardiovascular mortality in a French male population. Hyperten- sion. 1997; 30: 1410-1415.
  9. Urbina EM, Kieltkya L, Tsai J, Srinivasan SR, Berenson GS. Im- pact of Multiple Cardiovascular Risk Factors on Brachial Artery Distensibility in Young Adults: The Bogalusa Heart Study. American Journal of Hypertension. 2005; 18: 767-771.
  10. Gomez-Delgado F, Katsiki N, Lopez-Miranda J, Perez-Martinez P. Dietary habits, lipoprotein metabolism and cardiovascular disease: from individual foods to dietary patterns. Critical Re- views in Food Science and Nutrition. 2021; 61: 1651-1669.

Cited by

Sorted by citations

Authors
Ji, M., Kim, Y., & Lee, S.
Affiliations
Incheon National University (KR)
Corresponding author
Sewon Lee
Venue
Journal of Men's Health
Publisher
MRE Press
Published
2022
Volume
18
Issue
8
Pages
1
ISSN
  • 1875-6859 (ISSN-L)
  • 1875-6867
OpenAlex
W4291000510
Cited by
3
References
41
Citations by year
2025: 2 · 2024: 1
FWCI
0.56
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Men s Health (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Korean Society for the Study of Obesity
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Emergency Medicine › HIV-related health complications and treatments
Keywords
skeletal muscle mass, HDL cholesterol, LDL/HDL ratio, cardiometabolic risk factors, arterial stiffness, pulse wave velocity, lipid profile, young men, skeletal muscle index, bioelectrical impedance analysis

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