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DXA ‐Measured Visceral Adipose Tissue and Accelerated Biological Aging in Middle‐Aged Adults

Obesity·June 28
Endocrinology & MetabolismConfirms priorBiological AgingObesityVisceral AdiposityCross-Sectional StudyBody Composition ImagingAdultOlder Adult

Summary

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What was studied

This cross-sectional study examined whether DXA-measured visceral adipose tissue (VAT) mass is associated with two biological aging biomarkers — phenotypic age acceleration (PhenoAgeAccel) and leukocyte telomere length (LTL) — in 4,799 middle-aged adults (ages 45–69) from the Busselton Healthy Ageing Study, with sex-stratified analyses adjusting for age and lifestyle factors.

Key findings

Each 1-SD increase in VAT was linked to **1.40 years** greater PhenoAgeAccel in males (95% CI 1.20–1.60) and **1.92 years** in females (95% CI 1.74–2.10). In females only, higher VAT was associated with shorter LTL (−0.041 T/S ratio per 1 SD, 95% CI −0.069 to −0.013). Associations held after adjusting for other adiposity measures.

Study limitations

- Cross-sectional design prevents causal inference. - LTL was measured in only a subsample of 1,221 participants, limiting statistical power. - The cohort is predominantly one geographic population (Busselton, Australia), which may limit generalizability.

Clinical implications

DXA-quantified VAT appears to be a marker of accelerated biological aging beyond general adiposity — clinicians should consider VAT assessment, not just BMI or total body fat, when evaluating aging-related metabolic risk in middle-aged patients. The stronger association in females and the sex-specific LTL finding suggest that VAT reduction strategies may be especially relevant for women in this age group.

Related Questions

Explore related topics

How does visceral fat compare to BMI or waist circumference as a predictor of biological aging?What interventions most effectively reduce visceral adipose tissue in middle-aged adults?Does weight loss or exercise reverse phenotypic age acceleration in adults with high visceral fat?

Publication Details

Year
2026
Journal
Obesity
Sample Size
n=4,799
Source
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