Association Between Obesity Severity and Bioelectrical Impedance Analysis-Derived Metabolic Age in Individuals with Type 2 Diabetes Mellitus
Background: Metabolic age (Met-Age), a bioelectrical impedance analysis (BIA)-derived index based on basal metabolic rate (BMR) and body composition, has been associated with cardiometabolic risk. However, its relationship with body mass index (BMI)-defined obesity severity in individuals with type 2 diabetes mellitus (T2DM) remains unclear. This study investigated the association between obesity severity and Met-Age and identified factors associated with Met-Age. Methods: In this retrospective observational study, 683 adults with T2DM were classified into five BMI categories: normal weight, overweight, and class I, II, and III obesity. Anthropometric, laboratory, and BIA-derived body composition data were analyzed using correlation and sex-stratified multivariable linear regression analyses. Results: Although chronological age did not differ significantly across groups, Met-Age increased progressively with increasing obesity severity (p < 0.001). The Jonckheere–Terpstra test confirmed a significant ordered increase in Met-Age across BMI categories. BMI, fat mass, and waist-to-height ratio (WHtR) also increased progressively with increasing obesity severity. In the multivariable regression analyses, chronological age and WHtR were positively associated with Met-Age in both sexes, whereas muscle mass showed a weak inverse association with Met-Age only in female participants. No significant correlations were found between Met-Age and fasting blood glucose (FBG) or hemoglobin A1c (HbA1c) levels (all p > 0.05). Conclusions: In individuals with T2DM, greater obesity severity was associated with higher BIA-derived Met-Age. WHtR was positively associated with Met-Age in both sexes, whereas muscle mass showed a weak inverse association among female participants. Met-Age may serve as a descriptive index reflecting body composition and metabolic characteristics; however, its incremental clinical value beyond BMI and WHtR remains unproven.
Authors
- Tufan Ulcay (ORCID: https://orcid.org/0000-0003-2203-3850)
- Birgül Deniz Doğan (ORCID: https://orcid.org/0000-0002-9197-2459)
- Hasan Esat Yücel (ORCID: https://orcid.org/0000-0001-7788-0227)
- Emre Uğuz (ORCID: https://orcid.org/0000-0001-7813-3290)
- Ruken Öncü
- Murat Doğan (ORCID: https://orcid.org/0000-0003-0776-3644)
- Muhammed Fırat Aladağ
- Gizem Çolak
- Saliha Demir (ORCID: https://orcid.org/0009-0007-9145-1294)
- Ebru Ceylan
- Cahit Ucar
Institutions
- Ahi Evran University (TR)
- Necmettin Erbakan University (TR)
Publication Details
- Journal
- Metabolites
- Published
- 2026-09-16
- DOI
- https://doi.org/10.3390/metabo16090681
- Primary Topic
- Body Composition Measurement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00