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Observational Study
Copyright: ©Author(s) 2026.
World J Diabetes. Oct 15, 2026; 17(10): 123878
Published online Oct 15, 2026. doi: 10.4239/wjd.123878
Table 1 Binary logistic regression analysis of risk factors for impaired glucose metabolism in both sexes
ItemCrude
Model 1
Model 2
OR (95%CI)
P value
OR (95%CI)
P value
OR (95%CI)
P value
Men
HFF
Q1 ≤ 13.301.00 (ref)1.00 (ref)1.00 (ref)
Q2: 13.30-21.303.50 (1.27-9.64)0.0153.32 (1.17-9.40)0.0243.45 (1.18-10.13)0.024
Q3 > 21.306.50 (2.17-19.44)0.0015.85 (1.89-18.16)0.0025.24 (1.64-16.73)0.005
VAT
Q1 ≤ 0.261.00 (ref)1.00 (ref)1.00 (ref)
Q2: 0.26-0.332.14 (0.79-5.83)0.1351.80 (0.62-5.18)0.2781.59 (0.54-4.70)0.406
Q3 > 0.3311.67 (3.28-41.49)< 0.0018.54 (2.07-35.31)0.0036.56 (1.55-27.86)0.011
SAT
Q1 ≤ 0.241.00 (ref)1.00 (ref)1.00 (ref)
Q2: 0.24-0.350.18 (0.05-0.65)0.0080.20 (0.05-0.75)0.0170.21 (0.05-0.79)0.207
Q3 > 0.350.09 (0.02-0.31)< 0.0010.11 (0.03-0.49)0.0040.13 (0.03-0.60)0.008
Women
HFF
Q1 ≤ 8.301.00 (ref)1.00 (ref)1.00 (ref)
Q2: 8.30-17.501.90 (0.70-5.16)0.2112.12 (0.76-5.93)0.1532.08 (0.73-5.96)0.173
Q3 > 17.505.02 (1.79-14.05)0.0025.67 (1.95-16.49)0.0016.45 (2.12-19.63)0.001
VAT
Q1 ≤ 0.201.00 (ref)1.00 (ref)1.00 (ref)
Q2: 0.20-0.261.28 (0.48-3.41)0.6191.25 (0.47-3.36)0.6531.25 (0.45-3.44)0.667
Q3 > 0.263.08 (1.13-8.41)0.0283.02 (1.10-8.29)0.0323.29 (1.17-9.29)0.024
Table 2 Baseline characteristics of the participants grouped by glucose metabolism status in both sexes, mean ± SD/median (interquartile range)
VariableMen
Women
NGT (n = 39)
IGT (n = 26)
DM (n = 35)
ANOVA/Kruskal-Wallis test (P value)
NGT (n = 54)
IGT (n = 27)
DM (n = 24)
ANOVA/Kruskal-Wallis test (P value)
Age (years)28.95 ± 8.9432.46 ± 9.1637.17 ± 8.43b< 0.00129.56 ± 7.8933.37 ± 6.46a30.46 ± 9.570.130
BMI35.34 ± 4.6034.80 ± 4.4133.32 ± 6.300.25232.26 ± 4.1934.69 ± 4.85a33.19 ± 4.820.080
FPG (mmol/L)5.10 (4.85-5.36)5.99 (5.60-6.37)b7.61 (6.69-8.87)b,d< 0.0015.08 (4.87-5.38)5.53 (5.14-5.91)b6.72 (5.04-7.46)b< 0.001
2hPG (mmol/L)5.74 (5.27-7.13)8.88 (8.04-10.16)b13.19 (12.06-17.09)b,d< 0.0016.51 (6.06-7.19)8.70 (8.30-9.23)b12.48 (11.96-15.50)b< 0.001
TC (mmol/L)4.80 (4.30-5.49)5.39 (4.74-5.78)4.92 (4.44-5.64)0.1534.72 (4.31-5.51)4.73 (4.33-5.84)4.78 (4.15-5.25)0.648
TG (mmol/L)1.42 (1.16-2.07)1.91 (1.61-2.87)2.1 (1.56-3.61)b0.0051.19 (0.93-1.59)1.66 (1.28-2.19)b1.40 (1.11-2.25)0.006
LDL-C (mmol/L)3.08 (2.55-3.58)3.23 (2.90-3.71)2.94 (2.64-3.43)0.2052.82 (2.65-3.27)2.88 (2.63-3.54)3.05 (2.44-3.32)0.765
HDL-C (mmol/L)1.23 (1.07-1.35)1.09 (1.00-1.34)1.08 (0.88-1.20)a0.0271.29 (1.04-1.46)1.13 (0.94-1.22)1.05 (0.94-1.13)b0.004
DIearly8.98 (6.35-12.46)2.97 (1.85-4.58)b0.73 (0.37-2.17)b,d< 0.0018.73 (5.56-10.82)5.01 (3.50-7.31)a1.63 (1.01-5.18)b< 0.001
HOMA-IR5.82 (3.55-8.22)7.46 (6.08-11.48)9.29 (5.31-15.65)a0.0104.40 (2.85-7.68)6.03 (4.48-8.56)6.98 (4.65-10.21)0.038
Hypertension67140.0597770.172
Dyslipidemia1011a20c0.022111090.160
Table 3 Fat distribution variables based on quantitative-computed tomography measurements, mean ± SD/median (interquartile range)
Variable
NGT
IGT
DM
ANOVA/Kruskal-Wallis test (P value)
Menn = 39n = 26n = 35
HFF12.6 (10.00-21.60)21.15 (17.05-26.9)b16.80 (13.13-24.48)0.006
VAT0.25 ± 0.070.30 ± 0.08a0.32 ± 0.07b< 0.001
SAT0.34 ± 0.090.30 ± 0.100.23 ± 0.08b,d< 0.001
TAT0.59 ± 0.070.60 ± 0.110.55 ± 0.100.111
MFF0.05 (0.03-0.08)0.06 (0.03-0.10)0.05 (0.04-0.08)0.620
PFF15.30 (11.10-19.80)14.00 (11.58-17.80)17.25 (12.83-22.93)0.468
Womenn = 54n = 27n = 24
HFF9.95 (5.58-15.08)14.80 (7.83-22.50)23.70 (12.55-29.13)b< 0.001
VAT0.22 ± 0.060.24 ± 0.050.25 ± 0.06a0.060
SAT0.39 ± 0.090.38 ± 0.090.36 ± 0.080.644
TAT0.61 ± 0.100.62 ± 0.090.62 ± 0.100.761
MFF0.06 (0.03-0.10)0.07 (0.06-0.11)0.07 (0.05-0.09)0.259
PFF15.50 (13.40-18.60)15.50 (13.23-18.40)17.40 (12.10-19.60)0.548
Table 4 Correlation between fat depots and -cell function
Fat depotMen
Women
ρ
P value
ρ
P value
HFF-0.2320.032-0.1130.271
VAT-0.386< 0.001-0.2520.015
SAT0.357< 0.0010.0930.375
TAT0.0490.661-0.0730.487
MFF-0.0950.389-0.0950.357
PFF0.0540.6280.0060.956


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