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. 2017 Apr 3;7(4):e014456. doi: 10.1136/bmjopen-2016-014456

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 model HbA1c (dual units) MVPA (30 min/day)
BMI (1 kg/m2)
Beta (99% CI)* p Value Beta (99% CI)† p Value
Model 1 (mmol/mol) (%) −0.9 (−1.4 to −0.4)
−0.08 (−0.13 to −0.04)
<0.001 0.2 (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)
<0.001 0.2 (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.