Possible sarcopenia, sarcopenic obesity phenotypes and their association with diabetes: Evidence from LASI wave-1 (2017-18)
Abstract
Aims To assess the prevalence of possible sarcopenia and sarcopenic obesity phenotypes and investigate their association with self-reported diabetes among community-dwelling individuals aged 45 or above.Methods Utilizing data from 62,899 individuals in LASI wave-1 (2017-18), the assessment of possible sarcopenia was done on two critical parameters: muscle (handgrip) strength and physical performance (gait speed), following the 2019 guidelines from the Asian working group on sarcopenia (AWGS). BMI, WC, WHR, and WHtR defined sarcopenic obesity phenotypes. Binary logistic regression analysis explored the association of possible sarcopenia and sarcopenic obesity phenotypes with self-reported diabetes.Results The prevalence of possible sarcopenia and sarcopenic obesity defined by BMI was found to be 44.4 % and 10.6 %, respectively. Individuals with possible sarcopenia exhibited a 1.18 times higher likelihood of developing self-reported diabetes (p < 0.001), while those with sarcopenic obesity by BMI had significantly elevated odds (1.94, 95 % CI 1.81-2, p < 0.001) for self-reported diabetes.Conclusions Sarcopenia and sarcopenic obesity phenotypes may increase the risk of developing diabetes as we age. Therefore, it is imperative to formulate targeted preventive and therapeutic strategies to combat sarcopenia and diabetes among the aging population.
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The prevalence of sarcopenia among individuals with type 2 diabetes ranges from 7% to 29%, depending on diagnostic criteria and study population, with higher rates in older adults and those with long-standing disease.
“The prevalence of sarcopenia among individuals with T2D ranges from 7% to 29%, depending on the diagnostic criteria and study population, with higher rates observed in older adults and in patients with long-standing disease [1].”
From Muscle loss and GLP-1R agonists use (2025) · cites this paper as [1]
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Self-citation
- Authors
- Kaur, I., Das, S., Chandel, S., & Chandel, S.
- Affiliations
- University of Delhi (IN)
- Corresponding author
- Chandel, Shivangi
- Chandel, Shivani
- Venue
- Diabetes & Metabolic Syndrome: Clinical Research & Reviews
- Publisher
- Elsevier BV
- Published
- 2025-02
- Volume
- 19
- Issue
- 2
- Pages
- 103185
- ISSN
- 1871-4021 (ISSN-L)
- OpenAlex
- W4406275730
- Semantic Scholar
- 41770ea237092a8a25795ad9df8ad1f5250e7307
- Cited by
- 13
- References
- 79
- Citations by year
- 2026: 7 · 2025: 6
- FWCI
- 7.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (publishedVersion)
- PubMed (publishedVersion)
- 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 › Geriatrics and Gerontology › Frailty in Older Adults
- Keywords
- sarcopenia, sarcopenic obesity, diabetes mellitus, grip strength, walking speed, body mass index, waist-to-hip ratio, waist-to-height ratio, Asian Working Group for Sarcopenia, older adults, prevalence, diabetes risk
- MeSH terms
- Aged, Aged, 80 and over, Cross-Sectional Studies, Diabetes Mellitus, Female, Follow-Up Studies, Humans, Male, Middle Aged, Obesity, Phenotype, Prognosis, Risk Factors, Body Mass Index, Prevalence, Hand Strength, Sarcopenia
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 ›
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