Triglyceride–Glucose Index as a Potential Indicator of Sarcopenic Obesity in Older People
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Purpose: This population-based cross-sectional study aimed to determine whether the triglyceride–glucose index (TyG index) is associated with sarcopenic obesity (SO) and whether it would be a helpful indicator of SO. Methods: A total of 3821 participants aged ≥ 60 years were selected for the study group, and 4919 participants aged 20–39 years were included as a reference group. The participants were allocated to sarcopenia, obesity, and SO groups depending on if their body mass index (BMI) was ≥25 kg/m2 and their sarcopenia index was ≤1 standard deviation (SD) lower than the mean of the reference group. The sex-specific differences and trends among the participants were analyzed by using the TyG index tertiles, and appropriate cut-off values of the TyG index for SO were calculated. Results: As the TyG index increased, BMI increased, but the sarcopenia index decreased in both sexes. Males and females in the middle and highest tertiles of the TyG index were 1.775 and 3.369, and they were 1.993 and 3.157 times more likely to have SO, respectively. The cut-off values of the TyG index for SO in males and females were ≥8.72 and 8.67, respectively. Conclusion: A high TyG index is positively associated with SO, and the TyG index may be considered a potential indicator of SO.
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SO might be influenced by multiple shared factors and pathophysiological pathways that affect both sarcopenia and obesity, including age, sedentary lifestyle, lack of muscle exercise, hormone levels, nutritional status, insulin resistance, systemic inflammation and others.
“SO might be influenced by multiple shared factors and pathophysiological pathways that affect both sarcopenia and obesity, including age, sedentary lifestyle, lack of muscle exercise, hormone levels, nutritional status, insulin resistance, systemic inflammation and others [14, 23, 24, 25, 26, 27].”
From Sarcopenic Obesity Phenotype Index (SOP <i>i</i> ): A Population‐Based Study (2025) · cites this paper as [27]
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Experimental — accuracy not yet measuredThis finding suggests that insulin resistance plays a key role in the pathogenesis of SO.
“This finding suggests that insulin resistance plays a key role in the pathogenesis of SO [27].”
From Sarcopenic Obesity Phenotype Index (SOP <i>i</i> ): A Population‐Based Study (2025) · cites this paper as [27]
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References 45 · Cited by 65
- Authors
- Kim, B., Kim, G., Lee, Y., Taniguchi, K., Isobe, T., & Oh, S.
- Affiliations
- Changwon National University (KR)
- Medical Research Institute, Pusan National University, Busan 46241, Republic of Korea
- Seoil University (KR)
- Department of Physical Therapy, AHRU Medical Care and Welfare Professional Training College, Tsuchiura 300-0032, Japan
- University of Tsukuba (JP)
- R Professional University Of Rehabilitation (JP)
- Corresponding author
- Oh, Sechang
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2023-01-20
- Volume
- 15
- Issue
- 3
- Pages
- 555
- ISSN
- 2072-6643 (ISSN-L)
- PMC
- PMC9920571
- OpenAlex
- W4317732896
- Cited by
- 65
- References
- 45
- Citations by year
- 2026: 19 · 2025: 24 · 2024: 16 · 2023: 6
- FWCI
- 11.54
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nutrients (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Research Foundation of Korea (NRF-2022R1l1A1A01063664, 22H03527)
- Ministry of Education, Culture, Sports, Science, and Technology, Japan (NRF-2022R1l1A1A01063664, 22H03527)
- 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
- triglyceride-glucose index, sarcopenic obesity, sarcopenia, obesity, older adults, insulin resistance, sarcopenia index, body mass index, sex differences, cut-off values
- MeSH terms
- Aged, Blood Glucose, Cross-Sectional Studies, Female, Glucose, Humans, Insulin Resistance, Male, Obesity, Risk Factors, Triglycerides, Biomarkers, Sarcopenia
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