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. 2019 Nov 1;8(11):1813. doi: 10.3390/jcm8111813

Table 4.

Association of betaine as a continuous variable and according to tertiles with the development of T2DM.

Betaine as Continuous Variable (2log) Tertiles of Betaine
T1 T2 T3
HR (95% CI) p HR (95% CI) p HR (95% CI) p
Diabetes, no. of events (%) 224 (5.2%) 93 (6.4%) 74 (5.1%) 57 (3.9%)
Crude 0.79 (0.59–1.05) 0.10 1.00 (ref) 0.78 (0.57–1.05) 0.10 0.61 (0.44–0.85) 0.004
Model 1 0.60 (0.46–0.79) <0.001 1.00 (ref) 0.64 (0.47–0.88) 0.005 0.45 (0.32–0.64) <0.001
Model 2 0.59 (0.45–0.78) <0.001 1.00 (ref) 0.61 (0.45–0.84) 0.002 0.42 (0.29–0.59) <0.001
Model 3 0.63 (0.47–0.85) 0.002 1.00 (ref) 0.68 (0.50–0.94) 0.02 0.47 (0.33–0.66) <0.001
Model 4 0.69 (0.46–1.02) 0.06 1.00 (ref) 0.65 (0.43–0.96) 0.03 0.50 (0.32–0.80) 0.004

Abbreviations: eGFR, estimated glomerular filtration rate; T2DM, type 2 diabetes mellitus. Association between betaine and development of diabetes in 4336 (224 cases) subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study as a continuous variable (2log-transformed) and according to tertiles (T1-T3). Hazard ratios and 95% confidence intervals were derived from Cox proportional hazards regression models. The eGFR is based on creatinine–cystatin C equation; Model 1: Adjustment for age and sex; Model 2: Model 1+ adjustment for eGFR; Model 3: Model 2 + adjustment for body mass index and smoking; Model 4: Model 3 + adjustment for ethnicity, fasting glucose, total cholesterol, high-density lipoprotein cholesterol, triglycerides, C-reactive protein, and use of lipid-lowering drugs.