Copyright: ©Author(s) 2026.
World J Diabetes. Oct 15, 2026; 17(10): 123878
Published online Oct 15, 2026. doi: 10.4239/wjd.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
| Item | Crude | Model 1 | Model 2 | |||
| OR (95%CI) | P value | OR (95%CI) | P value | OR (95%CI) | P value | |
| Men | ||||||
| HFF | ||||||
| Q1 ≤ 13.30 | 1.00 (ref) | 1.00 (ref) | 1.00 (ref) | |||
| Q2: 13.30-21.30 | 3.50 (1.27-9.64) | 0.015 | 3.32 (1.17-9.40) | 0.024 | 3.45 (1.18-10.13) | 0.024 |
| Q3 > 21.30 | 6.50 (2.17-19.44) | 0.001 | 5.85 (1.89-18.16) | 0.002 | 5.24 (1.64-16.73) | 0.005 |
| VAT | ||||||
| Q1 ≤ 0.26 | 1.00 (ref) | 1.00 (ref) | 1.00 (ref) | |||
| Q2: 0.26-0.33 | 2.14 (0.79-5.83) | 0.135 | 1.80 (0.62-5.18) | 0.278 | 1.59 (0.54-4.70) | 0.406 |
| Q3 > 0.33 | 11.67 (3.28-41.49) | < 0.001 | 8.54 (2.07-35.31) | 0.003 | 6.56 (1.55-27.86) | 0.011 |
| SAT | ||||||
| Q1 ≤ 0.24 | 1.00 (ref) | 1.00 (ref) | 1.00 (ref) | |||
| Q2: 0.24-0.35 | 0.18 (0.05-0.65) | 0.008 | 0.20 (0.05-0.75) | 0.017 | 0.21 (0.05-0.79) | 0.207 |
| Q3 > 0.35 | 0.09 (0.02-0.31) | < 0.001 | 0.11 (0.03-0.49) | 0.004 | 0.13 (0.03-0.60) | 0.008 |
| Women | ||||||
| HFF | ||||||
| Q1 ≤ 8.30 | 1.00 (ref) | 1.00 (ref) | 1.00 (ref) | |||
| Q2: 8.30-17.50 | 1.90 (0.70-5.16) | 0.211 | 2.12 (0.76-5.93) | 0.153 | 2.08 (0.73-5.96) | 0.173 |
| Q3 > 17.50 | 5.02 (1.79-14.05) | 0.002 | 5.67 (1.95-16.49) | 0.001 | 6.45 (2.12-19.63) | 0.001 |
| VAT | ||||||
| Q1 ≤ 0.20 | 1.00 (ref) | 1.00 (ref) | 1.00 (ref) | |||
| Q2: 0.20-0.26 | 1.28 (0.48-3.41) | 0.619 | 1.25 (0.47-3.36) | 0.653 | 1.25 (0.45-3.44) | 0.667 |
| Q3 > 0.26 | 3.08 (1.13-8.41) | 0.028 | 3.02 (1.10-8.29) | 0.032 | 3.29 (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)
| Variable | Men | 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 ± 8.94 | 32.46 ± 9.16 | 37.17 ± 8.43b | < 0.001 | 29.56 ± 7.89 | 33.37 ± 6.46a | 30.46 ± 9.57 | 0.130 |
| BMI | 35.34 ± 4.60 | 34.80 ± 4.41 | 33.32 ± 6.30 | 0.252 | 32.26 ± 4.19 | 34.69 ± 4.85a | 33.19 ± 4.82 | 0.080 |
| FPG (mmol/L) | 5.10 (4.85-5.36) | 5.99 (5.60-6.37)b | 7.61 (6.69-8.87)b,d | < 0.001 | 5.08 (4.87-5.38) | 5.53 (5.14-5.91)b | 6.72 (5.04-7.46)b | < 0.001 |
| 2hPG (mmol/L) | 5.74 (5.27-7.13) | 8.88 (8.04-10.16)b | 13.19 (12.06-17.09)b,d | < 0.001 | 6.51 (6.06-7.19) | 8.70 (8.30-9.23)b | 12.48 (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) | 0.153 | 4.72 (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)b | 0.005 | 1.19 (0.93-1.59) | 1.66 (1.28-2.19)b | 1.40 (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) | 0.205 | 2.82 (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)a | 0.027 | 1.29 (1.04-1.46) | 1.13 (0.94-1.22) | 1.05 (0.94-1.13)b | 0.004 |
| DIearly | 8.98 (6.35-12.46) | 2.97 (1.85-4.58)b | 0.73 (0.37-2.17)b,d | < 0.001 | 8.73 (5.56-10.82) | 5.01 (3.50-7.31)a | 1.63 (1.01-5.18)b | < 0.001 |
| HOMA-IR | 5.82 (3.55-8.22) | 7.46 (6.08-11.48) | 9.29 (5.31-15.65)a | 0.010 | 4.40 (2.85-7.68) | 6.03 (4.48-8.56) | 6.98 (4.65-10.21) | 0.038 |
| Hypertension | 6 | 7 | 14 | 0.059 | 7 | 7 | 7 | 0.172 |
| Dyslipidemia | 10 | 11a | 20c | 0.022 | 11 | 10 | 9 | 0.160 |
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) |
| Men | n = 39 | n = 26 | n = 35 | |
| HFF | 12.6 (10.00-21.60) | 21.15 (17.05-26.9)b | 16.80 (13.13-24.48) | 0.006 |
| VAT | 0.25 ± 0.07 | 0.30 ± 0.08a | 0.32 ± 0.07b | < 0.001 |
| SAT | 0.34 ± 0.09 | 0.30 ± 0.10 | 0.23 ± 0.08b,d | < 0.001 |
| TAT | 0.59 ± 0.07 | 0.60 ± 0.11 | 0.55 ± 0.10 | 0.111 |
| MFF | 0.05 (0.03-0.08) | 0.06 (0.03-0.10) | 0.05 (0.04-0.08) | 0.620 |
| PFF | 15.30 (11.10-19.80) | 14.00 (11.58-17.80) | 17.25 (12.83-22.93) | 0.468 |
| Women | n = 54 | n = 27 | n = 24 | |
| HFF | 9.95 (5.58-15.08) | 14.80 (7.83-22.50) | 23.70 (12.55-29.13)b | < 0.001 |
| VAT | 0.22 ± 0.06 | 0.24 ± 0.05 | 0.25 ± 0.06a | 0.060 |
| SAT | 0.39 ± 0.09 | 0.38 ± 0.09 | 0.36 ± 0.08 | 0.644 |
| TAT | 0.61 ± 0.10 | 0.62 ± 0.09 | 0.62 ± 0.10 | 0.761 |
| MFF | 0.06 (0.03-0.10) | 0.07 (0.06-0.11) | 0.07 (0.05-0.09) | 0.259 |
| PFF | 15.50 (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 depot | Men | Women | ||
| ρ | P value | ρ | P value | |
| HFF | -0.232 | 0.032 | -0.113 | 0.271 |
| VAT | -0.386 | < 0.001 | -0.252 | 0.015 |
| SAT | 0.357 | < 0.001 | 0.093 | 0.375 |
| TAT | 0.049 | 0.661 | -0.073 | 0.487 |
| MFF | -0.095 | 0.389 | -0.095 | 0.357 |
| PFF | 0.054 | 0.628 | 0.006 | 0.956 |
- Citation: Ma XL, Liu Y, Li BH, Zhao HC, Sun YP, Han HL, Yu WJ, Lin H, Mu WN, Liu YT. Associations of quantitative computed tomography measured abdominal and ectopic fat with impaired glucose metabolism in overweight/obese Chinese adults. World J Diabetes 2026; 17(10): 123878
- URL: https://www.wjgnet.com/1948-9358/full/v17/i10/123878.htm
- DOI: https://dx.doi.org/10.4239/wjd.123878