Table 2

Adjusted linear regression models showing the associations between continuous measures of total accumulated moderate-to-vigorous-intensity physical activity (MVPA) time and body mass index (BMI) with glycated haemoglobin (HbA1c)

Adjusted linear regression modelHbA1c (dual units)MVPA (30 min/day)BMI (1 kg/m2)
Beta (99% CI)*p ValueBeta (99% CI)†p Value
Model 1(mmol/mol) (%)−0.9 (−1.4 to −0.4)
−0.08 (−0.13 to −0.04)
<0.0010.2 (0.1 to 0.3)
0.02 (0.01 to 0.03)
<0.001
Model 2(mmol/mol) (%)−0.7 (−1.2 to −0.2)
−0.07 (−0.11 to −0.02)
<0.0010.2 (0.1 to 0.3)
0.02 (0.01 to 0.03)
<0.001
  • All analyses controlled for primary sampling units, clustering and survey weights. Bold indicates statistical significance at p<0.01. Model 1 adjusted for: age, ethnicity, income, sex, any prescribed medication and accelerometer wear-time. Model 2 additionally adjusted for BMI (for MVPA analysis) and MVPA (for BMI analysis).

  • *Beta coefficients represent the average difference in HbA1c (mmol/mol) (%) for each 30 min/day increment in MVPA.

  • †Beta coefficients represent the average difference in HbA1c (mmol/mol) (%) for each 1 kg/m2 increment in BMI.