Skewness in Body fat Distribution Pattern Links to Specific Cardiometabolic Disease Risk Profiles
An erratum to this article was published (J Clin Endocrinol Metab, 17 May 2024 ↗)
Authors' conclusion
High VAT in relation to BMI (z-VAT > 0) was consistently linked to both T2D and CVD; z-LF > 0 was linked to T2D only. Skewed fat distribution patterns showed elevated risk for CVD (z-VAT > 0 and z-LF < 0 and z-VAT > 0 and z-aSAT < 0) and T2D (z-VAT > 0 and z-aSAT < 0).
Study context
- Population
- UK Biobank participants with MRI of visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (aSAT) and liver fat (LF); participants without prevalent T2D/cardiovascular disease (CVD) analysed35,138 without prevalent T2D/CVD
- Participants
- 40,174 participants
- Exposure
- Fat distribution z-scores (z-VAT, z-aSAT, z-LF) and their balance patterns, in relation to incident T2D and CVD
- Outcome
- Incident T2D and CVD
Methodological detailsUK Biobank, MRI-based fat z-scores independent of body mass index (BMI), Cox regression (crude and adjusted)
- UK Biobank
- MRI-based fat z-scores independent of BMI
- Cox regression (crude and adjusted)
Main finding
As reported in the abstract
Incident T2D
- z-LF, HR
- 1.74 [1.52-1.98], P < .001 (95% CI)
- z-VAT, HR
- 1.70 [1.49-1.95], P < .001 (95% CI)
- z-VAT > 0 and z-LF > 0, HR
- 4.61 [2.98-7.12], P < .001 (95% CI)
- z-VAT > 0 and z-aSAT < 0, HR
- 4.48 [2.85-7.06], P < .001 (95% CI)
- z-LF > 0 and z-aSAT < 0, HR
- 2.69 [1.76-4.12], P < .001 (95% CI)
Observational data: associations, not effects.
Further findings
Incident CVD
- z-VAT, HR (95% CI); remained significant after adjustment for sex, age, BMI and lifestyle
- 1.22 [1.16-1.28], P < .001
- z-VAT > 0 and z-LF < 0, HR
- 1.53 [1.34-1.76], P < .001 (95% CI)
- z-VAT > 0 and z-aSAT < 0, HR
- 1.54 [1.34-1.76], P < .001 (95% CI)
- Adjusted for sex, age and BMI, only z-VAT > 0 and z-LF < 0 remained significant
Original publication
Skewness in Body fat Distribution Pattern Links to Specific Cardiometabolic Disease Risk Profiles. J Clin Endocrinol Metab. Published 5 October 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →