Bibliographic Details
| Title: |
Association of remnant cholesterol with sarcopenia in Korean adults: a nationwide population-based study using data from the KNHANES |
| Authors: |
Soo Yeon Jang, Soon-Young Hwang, Ahreum Jang, Kyeong Jin Kim, Ji Hee Yu, Nam Hoon Kim, Hye Jin Yoo, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi |
| Source: |
Frontiers in Endocrinology, Vol 15 (2024) |
| Publisher Information: |
Frontiers Media S.A., 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Diseases of the endocrine glands. Clinical endocrinology |
| Subject Terms: |
remnant cholesterol, dyslipidemia, sarcopenia, muscle mass, triglyceride-rich lipoproteins, Diseases of the endocrine glands. Clinical endocrinology, RC648-665 |
| More Details: |
BackgroundMounting evidence indicates the importance of the interplay between skeletal muscles and lipid metabolism. Remnant cholesterol (remnant-C) is considered one of the principal residual risk factors for cardiovascular disease and metabolic disorders; however, there are limited studies on the impact of remnant-C on sarcopenia.MethodsData from the Korea National Health and Nutrition Examination Surveys (KNHANES) between 2008 and 2011 were used in this nationwide population-based study. In total, 17,408 participants were enrolled in this study. The subjects were categorized into four groups according to the quartile of remnant-C values. We conducted multivariable logistic regression analysis to evaluate the association between remnant-C and muscle mass measured using dual-energy X-ray absorptiometry.ResultsA total of 1,791 participants (10.3%) presented low muscle mass, and there was a sequential increase in the percentage of low muscle mass across remnant-C quartiles (Q1, 5.2%; Q2, 8.7%; Q3, 11.5%; Q4, 15.7%). In the full adjusted model, those in the highest remnant-C quartile group showed significantly increased odds ratio (OR) for low muscle mass compared with those in the lowest remnant-C group after adjusting for various confounding factors (OR = 1.33, 95% confidence interval (CI) = 1.06–1.68, P |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1664-2392 |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fendo.2024.1391733/full; https://doaj.org/toc/1664-2392 |
| DOI: |
10.3389/fendo.2024.1391733 |
| Access URL: |
https://doaj.org/article/ae5af8bbdfac4b2690391b73984d20cd |
| Accession Number: |
edsdoj.5af8bbdfac4b2690391b73984d20cd |
| Database: |
Directory of Open Access Journals |
