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Skewness in Body fat Distribution Pattern Links to Specific Cardiometabolic Disease Risk Profiles
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. AMRA Med AB, Badhusgatan 5, SE-58222 Linkoping, Sweden.ORCID iD: 0000-0001-7399-8375
Nantes Univ, France.
Univ Hosp Cleveland Med Ctr, OH 44145 USA; Case Western Reserve Univ, OH 44145 USA.
AMRA Med AB, Badhusgatan 5, SE-58222 Linkoping, Sweden.
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2024 (English)In: Journal of Clinical Endocrinology and Metabolism, ISSN 0021-972X, E-ISSN 1945-7197, Vol. 09, no 3, p. 783-791Article in journal (Refereed) Published
Abstract [en]

Objective: Fat distribution pattern could help determine cardiometabolic risk profile. This study aimed to evaluate the association of balance/imbalance between visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (aSAT), and liver fat (LF) with incident type 2 diabetes (T2D) and cardiovascular disease (CVD) in the UK Biobank prospective cohort study.Methods: Magnetic resonance images of 40 174 participants were analyzed for VAT, aSAT, and LF using AMRA (R) Researcher. To assess fat distribution patterns independent of body mass index (BMI), fat z-scores (z-VAT, z-aSAT, z-LF) were calculated. Participants without prevalent T2D/CVD (N = 35 138) were partitioned based on balance between (1) z-VAT and z-LF (z-scores = 0 as cut-points for high/low), (2) z-VAT and z-aSAT, and (3) z-LF and z-aSAT. Associations with T2D/CVD were investigated using Cox regression (crude and adjusted for sex, age, BMI, lifestyle, arterial hypertension, statin treatment).Results: T2D was significantly associated with z-LF (hazard ratio, [95% CI] 1.74 [1.52-1.98], P < .001) and z-VAT (1.70 [1.49-1.95], P < .001). Both remained significant after full adjustment. For z-scores balance, strongest associations with T2D were z-VAT > 0 and z-LF > 0 (4.61 [2.98-7.12]), z-VAT > 0 and z-aSAT < 0 (4.48 [2.85-7.06]), and z-LF > 0 and z-aSAT < 0 (2.69 [1.76-4.12]), all P < .001. CVD was most strongly associated with z-VAT (1.22 [1.16-1.28], P < .001) which remained significant after adjustment for sex, age, BMI, and lifestyle. For z-scores balance, strongest associations with CVD were z-VAT > 0 and z-LF < 0 (1.53 [1.34-1.76], P < .001) and z-VAT > 0 and z-aSAT < 0 (1.54 [1.34-1.76], P < .001). When adjusted for sex, age, and BMI, only z-VAT > 0 and z-LF < 0 remained significant.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).

Place, publisher, year, edition, pages
ENDOCRINE SOC , 2024. Vol. 09, no 3, p. 783-791
Keywords [en]
fat distribution pattern; visceral adipose tissue; subcutaneous adipose tissue; liver fat; magnetic resonance imaging; UK Biobank
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:liu:diva-199253DOI: 10.1210/clinem/dgad570ISI: 001095952500001PubMedID: 37795945OAI: oai:DiVA.org:liu-199253DiVA, id: diva2:1813936
Available from: 2023-11-22 Created: 2023-11-22 Last updated: 2024-09-09

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