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Table 4 Associations with low-, moderate- and high-risk hs-CRP levels

From: Abdominal obesity in type 1 diabetes associated with gender, cardiovascular risk factors and complications, and difficulties achieving treatment targets: a cross sectional study at a secondary care diabetes clinic

   Hs-CRP risk levels
All (With CRP) Low (<  1 mg/l) Moderate (1 to ≤3 mg/l) High (> 3.0 to ≤ 8.9 mg/l)   Increasing hs-CRP risk levels
N = 171 N = 107 N = 44 N = 20   N = 171
N (%) or median (q1, q3) P a COR (CI) P b AOR (CI) P b
Gender Women 66 (39) 35 (33) 19 (43) 12 (60) 0.017 2.0 (1.1–3.8) 0.023 NS
Men 105 (61) 72 (67) 25 (57) 8 (40)
Age 42 (30, 50) 42 (31, 50) 40 (27, 51) 42 (29, 53) 0.73 c 1.00 (0.97–1.02) 0.72 NS
Abdominal obesity 22 (13) 7 (6) 5 (11) 10 (50) < 0.001 7.0 (2.8–17.9) < 0.001 5.3 (2.1–13.6) < 0.001
HbA1c > 70 mmol/mol 51 (30) 27 (25) 11 (25) 13 (65) 0.004 2.2 (1.2–4.3) 0.016 NS
TC (mmol/l) 4.6 (4.1, 5.2) 4.5 (4.0, 5.1) 4.8 (4.1, 5.4) 4.8 (4.4, 6.0) 0.035 c 1.5 (1.2–2.0) 0.002 NS
Triglycerides (mmol/l) 0.9 (0.7, 5.2) 0.8 (0.6, 1.1) 1.0 (0.7, 1.4) 1.3 (0.9, 2.4) < 0.001 c 3.2 (1.9–5.7) < 0.001 2.82 (1.68–4.93) < 0.001
HDL (mmol/l) 1.5 (1.3, 1.8) 1.6 (1.3, 1.8) 1.6 (1.3, 1.7) 1.4 (1.1, 1.7) 0.32 c 0.6 (0.2–1.4) 0.21 NS
LDL (mmol/l) 2.9 (2.3, 3.3) 2.7 (2.2, 3.2) 2.9 (2.4, 3.6) 3.2 (2.8, 3.6) 0.010 c 1.7 (1.2–2.4) 0.002 NS
SBP (mm Hg) 120 (115, 130) 120 (115, 130) 120 (110, 130) 128 (120, 134) 0.16 c 1.02 (0.99–1.05) 0.15 NS
DBP (mm Hg) 70 (70, 75) 70 (65, 75) 70 (66, 80) 75 (70, 78) 0.036 c 1.07 (1.02–1.12) 0.003 NS
LLD 82 (48) 50 (47) 21 (48) 11 (55) 0.55 1.2 (0.6–2.2) 0,60 NS
AHD 51 (30) 31 (29) 14 (32) 6 (30) 0.82 1.1 (0.6–2.1) 0.78 NS
Smoking d 18 (10) 11 (10) 5 (12) 2 (10) 0.96
Physical inactivity e 22 (13) 10 (10) 10 (23) 2 (10) 0.28
CV complications 7 (4) 4 (4) 0 3 (15) 0.16 2.3 (0.4–12.1) 0.30 NS
  1. NS Non-significant
  2. a Linear-by-linear Association (Exact 2-sided) unless indicated. b Ordinal regression analyses. c Kruskal-Wallis test. Missing values: d n = 2; e n = 3. d, e Not included in the ordinal regression analyses