Skewness in Body fat Distribution Pattern Links to Specific Cardiometabolic Disease Risk Profiles
© The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society..
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® 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).
| Errataetall: |
ErratumIn: J Clin Endocrinol Metab. 2024 Mar 13;:. - PMID 38477621 |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:109 |
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| Enthalten in: |
The Journal of clinical endocrinology and metabolism - 109(2024), 3 vom: 20. Feb., Seite 783-791 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Linge, Jennifer [VerfasserIn] |
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| Links: |
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| Themen: |
Fat distribution pattern |
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| Anmerkungen: |
Date Completed 21.02.2024 Date Revised 13.03.2024 published: Print ErratumIn: J Clin Endocrinol Metab. 2024 Mar 13;:. - PMID 38477621 Citation Status MEDLINE |
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| doi: |
10.1210/clinem/dgad570 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 500 | |a Date Revised 13.03.2024 | ||
| 500 | |a published: Print | ||
| 500 | |a ErratumIn: J Clin Endocrinol Metab. 2024 Mar 13;:. - PMID 38477621 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. | ||
| 520 | |a 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 | ||
| 520 | |a METHODS: Magnetic resonance images of 40 174 participants were analyzed for VAT, aSAT, and LF using AMRA® 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) | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a UK Biobank | |
| 650 | 4 | |a fat distribution pattern | |
| 650 | 4 | |a liver fat | |
| 650 | 4 | |a magnetic resonance imaging | |
| 650 | 4 | |a subcutaneous adipose tissue | |
| 650 | 4 | |a visceral adipose tissue | |
| 700 | 1 | |a Cariou, Bertrand |e verfasserin |4 aut | |
| 700 | 1 | |a Neeland, Ian J |e verfasserin |4 aut | |
| 700 | 1 | |a Petersson, Mikael |e verfasserin |4 aut | |
| 700 | 1 | |a Rodríguez, Ángel |e verfasserin |4 aut | |
| 700 | 1 | |a Dahlqvist Leinhard, Olof |e verfasserin |4 aut | |
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