TY - JOUR
T1 - Anthropometric and DXA-derived measures of body composition in relation to pre-diabetes among adults
AU - Mohammad, Anwar
AU - Ziyab, Ali H.
AU - Mohammad, Talal
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2023/10/3
Y1 - 2023/10/3
N2 - Introduction Abdominal obesity is the most common risk factor of pre-diabetes and diabetes. Currently, several types of indices are used for the determination of visceral fat-related abdominal obesity. To better understand the effect of the different adiposity indices, we sought to evaluate the association of different adiposity measurements, assessed using dual-energy X-ray absorptiometry (DXA), and pre-diabetes. Research design and methods This cross-sectional study included 1184 adults between 18 and 65 years who participated in the Kuwait Wellbeing Study. Anthropometry measurements included body mass index (BMI) and waist-to-hip ratio. Total body fat (TBF) mass, android fat mass, gynoid fat, and visceral adipose tissue (VAT) mass were measured using the Lunar iDXA. Pre-diabetes was defined as 5.7≤HbA1c%≤6.4. Adjusted prevalence ratios (aPRs) and 95% CIs were estimated. Area under the curve (AUC) was estimated for each adiposity measurement as predictor of pre-diabetes. Results A total of 585 (49.4%) males and 599 (50.6%) females were enrolled in the study. Increased BMI (aPR obese vs normal =1.59, 95% CI: 1.19 to 2.12), waist-to-hip ratio (aPR Q4 vs Q1 =1.25, 0.96 to 1.61), TBF (aPR Q4 vs Q1 =1.58, 1.20 to 2.07), android fat (aPR Q4 vs Q1 =1.67, 1.27 to 2.20), gynoid fat (aPR Q4 vs Q1 =1.48, 1.16 to 1.89), android-to-gynoid fat ratio (aPR Q4 vs Q1 =1.70, 1.27 to 2.28), and VAT mass (aPR Q4 vs Q1 =2.05, 1.49 to 2.82) were associated with elevated pre-diabetes prevalence. Gynoid fat was associated with pre-diabetes among males (aPR Q4 vs Q1 =1.71, 1.22 to 2.41), but not among females (aPR Q4 vs Q1 =1.27, 0.90 to 1.78). Moreover, in terms of AUC, VAT had the highest estimated AUC of 0.680, followed by android-to-gynoid fat ratio (AUC: 0.647) and android fat (AUC: 0.646). Conclusions Pre-diabetes prevalence increased as adiposity measurements increased, with VAT mass demonstrating the highest AUC for pre-diabetes.
AB - Introduction Abdominal obesity is the most common risk factor of pre-diabetes and diabetes. Currently, several types of indices are used for the determination of visceral fat-related abdominal obesity. To better understand the effect of the different adiposity indices, we sought to evaluate the association of different adiposity measurements, assessed using dual-energy X-ray absorptiometry (DXA), and pre-diabetes. Research design and methods This cross-sectional study included 1184 adults between 18 and 65 years who participated in the Kuwait Wellbeing Study. Anthropometry measurements included body mass index (BMI) and waist-to-hip ratio. Total body fat (TBF) mass, android fat mass, gynoid fat, and visceral adipose tissue (VAT) mass were measured using the Lunar iDXA. Pre-diabetes was defined as 5.7≤HbA1c%≤6.4. Adjusted prevalence ratios (aPRs) and 95% CIs were estimated. Area under the curve (AUC) was estimated for each adiposity measurement as predictor of pre-diabetes. Results A total of 585 (49.4%) males and 599 (50.6%) females were enrolled in the study. Increased BMI (aPR obese vs normal =1.59, 95% CI: 1.19 to 2.12), waist-to-hip ratio (aPR Q4 vs Q1 =1.25, 0.96 to 1.61), TBF (aPR Q4 vs Q1 =1.58, 1.20 to 2.07), android fat (aPR Q4 vs Q1 =1.67, 1.27 to 2.20), gynoid fat (aPR Q4 vs Q1 =1.48, 1.16 to 1.89), android-to-gynoid fat ratio (aPR Q4 vs Q1 =1.70, 1.27 to 2.28), and VAT mass (aPR Q4 vs Q1 =2.05, 1.49 to 2.82) were associated with elevated pre-diabetes prevalence. Gynoid fat was associated with pre-diabetes among males (aPR Q4 vs Q1 =1.71, 1.22 to 2.41), but not among females (aPR Q4 vs Q1 =1.27, 0.90 to 1.78). Moreover, in terms of AUC, VAT had the highest estimated AUC of 0.680, followed by android-to-gynoid fat ratio (AUC: 0.647) and android fat (AUC: 0.646). Conclusions Pre-diabetes prevalence increased as adiposity measurements increased, with VAT mass demonstrating the highest AUC for pre-diabetes.
KW - Adiposity
KW - Diabetes Mellitus, Type 2
KW - Epidemiology
KW - Fat
UR - https://www.scopus.com/pages/publications/85174040930
U2 - 10.1136/bmjdrc-2023-003412
DO - 10.1136/bmjdrc-2023-003412
M3 - Article
C2 - 37793678
AN - SCOPUS:85174040930
SN - 2052-4897
VL - 11
JO - BMJ open diabetes research & care
JF - BMJ open diabetes research & care
IS - 5
M1 - e003412
ER -