# Association of Triglyceride‐Glucose Index and Its Related Parameters With Handgrip Strength Asymmetry

**Authors:** Yuan Zhang, Yali Jing

PMC · DOI: 10.1002/jcsm.70165 · Journal of Cachexia, Sarcopenia and Muscle · 2026-02-01

## TL;DR

This study found that higher triglyceride-glucose index values are linked to greater handgrip strength asymmetry in older Chinese adults.

## Contribution

The study introduces new insights into how metabolic markers like TyG-WHtR and TyG-BMI relate to physical asymmetry in older populations.

## Key findings

- Higher TyG-WHtR is associated with increased odds of handgrip strength asymmetry.
- Lower TyG-BMI correlates with higher prevalence of severe handgrip asymmetry.
- TyG-WHtR shows the strongest association with handgrip asymmetry severity.

## Abstract

The purpose of this study was to explore the associations of the triglyceride‐glucose (TyG) index and its clinically relevant derivatives with handgrip strength asymmetry (HGS‐A) in a nationally representative cohort of older adults in China.

Here, we used the data of participants aged between 45 and 80 years who were from wave 2015 of the China Health and Retirement Longitudinal Study (CHARLS). HGS asymmetry was defined as the ratio of nondominant to dominant HGS, categorized into the following four groups: 0.9–1.1 (nonasymmetry), 0.80 ≤ ratio < 0.90 or 1.10 < ratio ≤ 1.20 (mild asymmetry), 0.70 ≤ ratio < 0.80 or 1.20 < ratio ≤ 1.30 (moderate asymmetry) and ratio < 0.70 or ratio > 1.30 (severe asymmetry). Multivariable logistic regression was adopted to assess the association of TyG, TyG‐body mass index (TyG‐BMI) and TyG‐waist‐to‐height ratio (TyG‐WHtR) with HGS asymmetry.

A total of 3521 middle‐aged and elderly individuals (mean age: 59.74 years; 47.9% male) were included, with the mean TyG of 8.733 ± 0.660, mean TyG‐BMI of 243.559 ± 31.120, mean TyG‐WHtR of 4.702 ± 0.733. The mean HGS ratio was 0.97 ± 0.16, and participants were classified into the following four groups: nonasymmetry (n = 2174), mild asymmetry (n = 972), moderate asymmetry (n = 237) and severe asymmetry (n = 138). Overall, the prevalence of HGS asymmetry was 38.26%. The prevalence of severe asymmetry increased across TyG quartiles from 3.7% to 4.5% (Q1–Q4, p = 0.018). TyG‐WHtR showed increasing prevalence of severe asymmetry from 4.9% to 5.1% across quartiles (p = 0.042). For TyG‐BMI, it exhibited an inverse relationship with severe asymmetry prevalence decreasing from 5.3% to 2.4%. Multivariable‐adjusted models confirmed that TyG‐WHtR demonstrated the strongest effect size with Q2 and Q3 associated with significantly increased odds of asymmetry (OR = 1.507 and 1.437, respectively). TyG‐BMI showed a protective effect with higher quartiles associated with reduced odds (Q2–Q4 OR range: 0.973–0.984).

Higher levels of TyG‐WHtR and lower levels of TyG‐BMI are both associated with a higher prevalence and severity of HGS asymmetry in middle‐aged and older Chinese adults.

## Full-text entities

- **Genes:** IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, SLC2A4 (solute carrier family 2 member 4) [NCBI Gene 6517] {aka GLUT4}, CST3 (cystatin C) [NCBI Gene 1471] {aka ADLDWA, ARMD11, HEL-S-2}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, CYGB (cytoglobin) [NCBI Gene 114757] {aka HGB, NOD, STAP}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, HGS (hepatocyte growth factor-regulated tyrosine kinase substrate) [NCBI Gene 9146] {aka HRS}
- **Diseases:** neuromuscular coordination defects (MESH:D009468), skeletal or muscle diseases (MESH:D005207), impaired muscle function symmetry (MESH:D009135), hip fracture (MESH:D006620), muscle atrophy (MESH:D009133), loss of muscle mass or strength (MESH:C536030), Obesity (MESH:D009765), frailty (MESH:D000073496), muscle strength asymmetry (MESH:C535862), hyperinsulinemia (MESH:D006946), sarcopenia (MESH:D055948), musculoskeletal decline (MESH:D009140), abdominal obesity (MESH:D056128), hypertension (MESH:D006973), HGS asymmetry (MESH:D005146), pain (MESH:D010146), adiposity (MESH:D018205), function decline (MESH:D060825), inflammation (MESH:D007249), metabolic (MESH:D008659), diabetes (MESH:D003920), IR (MESH:D007333), metabolic disturbances (MESH:D024821), nonalcoholic fatty liver disease (MESH:D065626), hyperinsulinemic (MESH:D044903), on neuromuscular function (MESH:D020879), weakness (MESH:D018908), malnutrition (MESH:D044342), cognitive decline (MESH:D003072), premature death (MESH:D003643), cardiovascular disease (MESH:D002318), neuromuscular and musculoskeletal disorders (MESH:D009139), injuries (MESH:D014947), falls (MESH:C537863), diseases (MESH:D004194), functional disability (MESH:D003291), muscular imbalance (MESH:D000137), metabolic dysregulation (MESH:D021081)
- **Chemicals:** creatinine (MESH:D003404), FPG (-), uric acid (MESH:D014527), calcium (MESH:D002118), lipid (MESH:D008055), Glucose (MESH:D005947), blood glucose (MESH:D001786), cholesterol (MESH:D002784), alcohol (MESH:D000438), TG (MESH:D014280)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]

## Full text

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## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC12862009/full.md

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Source: https://tomesphere.com/paper/PMC12862009