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. 2018 May 15;58(4):1703–1710. doi: 10.1007/s00394-018-1716-z

Table 3.

Logistic regression analysis to assess relative changes in the association of SBB and previously diagnosed T2DM by indices of adiposity

Predictor variablesa Diagnosed T2DM (n = 172 cases and 5015 non-cases)
OR 95% CI p Relative changes in OR by indices of adiposityb (%)
SSB 1–3 (referent) 1
SSB 4–6 1.19 0.48–2.96 0.707
SSB 7–9 2.56 1.12–5.83 0.026 0
SSB 1–3 + BMI (referent) 1
SSB 4–6 + BMI 1.28 0.51–3.22 0.594
SSB 7–9 + BMI 2.67 1.16–6.14 0.021 + 4.3
SSB 1–3 + WC (referent) 1
SSB 4–6 + WC 1.21 0.48–3.04 0.683
SSB 7–9 + WC 2.70 1.07–5.60 0.020 + 5.5
SSB 1–3 + TATM (referent) 1
SSB 4–6 + TATM 1.25 0.50–3.12 0.639
SSB 7–9 + TATM 2.45 1.07–5.63 0.035 − 4.3
SSB 1–3 + BF% (referent) 1
SSB 4–6 + BF% 1.07 0.43–2.68 0.885
SSB 7–9 + BF% 1.96 0.85–4.49 0.114 − 23.4

All models were adjusted for age, sex, social class, education attainment, smoking status, alcohol consumption and physical activity level

aFor SSB, category 1–3 indicates lowest = “less often/never”, 1–3 times/month or once/week; category 4–6 indicates intermediate = 2–4 or 5–6 times/week or once/day, and category 7–9 indicates highest intake = 2–3, 4–5 or ≥ 6/day. Indices of adiposity and age were entered as continuous variables

bRelative changes in OR by indices of adiposity were calculated by dividing (the difference between OR after adiposity adjustment and OR before adiposity adjustment) over OR before adiposity adjustment × 100%, e.g. to calculate changes by BF%: [(1.96–2.56)/2.56] × 100% = − 23.4%