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

Table 4.

Logistic regression analysis to assess changes in the association of SBB and previously diagnosed T2DM + no previous T2DM diagnosis with HbA1c > 6.5% (48 mmol/mol) by indices of adiposity

Predictor variablesa Diagnosed T2DM + no previous T2DM diagnosis with HbA1c > 6.5% (48 mmol/mol) (230 cases and 4957 non-cases)
OR 95% CI p Relative changes in OR by indices of adiposityb (%)
SSB 1–3 (referent) 1
SSB 4–6 1.34 0.66–2.70 0.416
SSB 7–9 1.93 1.01–3.69 0.046 0
SSB 1–3 + BMI (referent) 1
SSB 4–6 + BMI 1.44 0.71–2.94 0.314
SSB 7–9 + BMI 2.00 1.04–3.87 0.038 + 3.6
SSB 1–3 + WC (referent) 1
SSB 4–6 + WC 1.36 0.67–2.77 0.398
SSB 7–9 + WC 2.02 1.05–3.90 0.035 + 4.7
SSB 1–3 + TATM (referent) 1
SSB 4–6 + TATM 1.40 0.69–2.85 0.354
SSB 7–9 + TATM 1.84 0.96–3.54 0.069 − 4.7
SSB 1–3 + BF% (referent) 1
SSB 4–6 + BF% 1.20 0.59–2.45 0.611
SSB 7–9 + BF% 1.46 0.76–2.82 0.258 − 24.4

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

bFor calculations of attenuation, see footnote in Table 3