Association between type 2 diabetes and skeletal muscle quality assessed by abdominal computed tomography scan
Aim To examine the association between type 2 diabetes and the amount and quality of trunk muscle as assessed by computed tomography (CT) scan. Materials and methods A total of 20,986 subjects (13,007 men and 7979 women) who underwent abdominal CT scan as part of a routine health check‐up were inclu...
Gespeichert in:
Veröffentlicht in: | Diabetes/metabolism research and reviews 2022-05, Vol.38 (4), p.e3513-n/a |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Aim
To examine the association between type 2 diabetes and the amount and quality of trunk muscle as assessed by computed tomography (CT) scan.
Materials and methods
A total of 20,986 subjects (13,007 men and 7979 women) who underwent abdominal CT scan as part of a routine health check‐up were included. The total abdominal muscle area (TAMA) measured at the third lumbar vertebrae was classified into skeletal muscle area (SMA), and intermuscular adipose tissue area. SMA was divided into good quality muscles (normal attenuation muscle area [NAMA]) and poor quality muscles (low attenuation muscle area). NAMA/TAMA index was calculated.
Results
Subjects with type 2 diabetes had higher values of TAMA and SMA but significantly lower values of NAMA and NAMA/TAMA index. Compared with those in the lowest quartile of NAMA/TAMA index, subjects in the highest quartile had metabolically favourable laboratory findings, a lower prevalence of type 2 diabetes (Q1 vs. Q4: 19.3% vs. 9.5% in men, 12.3% vs. 3.0% in women) and inverse association with type 2 diabetes (odds ratio for Q2, Q3, and Q4: 0.87, 0.78, and 0.75 in men; 0.82, 0.70, and 0.68 in women) after multivariable adjustment.
Conclusions
The amount of good quality muscle on CT scan was associated with a lower prevalence of type 2 diabetes. |
---|---|
ISSN: | 1520-7552 1520-7560 |
DOI: | 10.1002/dmrr.3513 |