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. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: Psychoneuroendocrinology. 2015 Aug 28;62:327–335. doi: 10.1016/j.psyneuen.2015.08.021

Table 2.

Percent change in HbA1c per 1 unit increase in the selected diurnal cortisol features*

Model 0
% (95% CI)
Model 1
% (95% CI)
Model 2
% (95% CI)
Model 3
% (95% CI)
Early Decline Slope
Non-Diabetes 0.7 (−1.3, 2.7) 0.6 (−1.4, 2.6) 0.1 (−1.8, 2.1) 0.04 (−1.9, 2.0)
Diabetes 7.5 (3.1, 12.1) 7.0 (2.7, 11.4) 6.3 (2.1, 10.6) 5.4 (1.3, 9.7)
Overall Decline Slope
Non-Diabetes 10.1 (−7.4, 31.0) 3.7 (−12.7, 23.2) 0.8 (−14.8, 19.2) 0.5 (−14.9, 18.7)
Diabetes 78.1 (27.1, 149.6) 65.0 (18.5, 129.7) 57.1 (13.8, 116.9) 54.7 (12.4, 112.9)
Bedtime Cortisol
Non-Diabetes 0.4 (−0.8, 1.7) 0.5 (−0.7, 1.7) 0.5 (−0.7, 1.7) 0.3 (−0.8, 1.5)
Diabetes 4.8 (2.2, 7.4) 4.6 (2.1, 7.2) 4.1 (1.7, 6.6) 4.0 (1.6, 6.5)
Total AUC (16-Hours) Cortisol
Non-Diabetes −0.1 (−1.7, 1.53) 0.4 (−1.2, 2.0) 0.7 (−0.9, 2.2) 0.5 (−1.0, 2.0)
Diabetes 7.2 (3.5, 11.0) 7.2 (3.5, 10.9) 6.9 (3.4, 10.6) 6.8 (3.3, 10.4)
a

Model 0: HbA1c association with cortisol feature (no additional adjustment; include interaction term of diabetes and cortisol feature).

b

Model 1: HbA1c association with cortisol feature (adjustment only for demographic variable; include interaction term of diabetes and cortisol feature).

c

Model 2: HbA1c association with cortisol feature (adjustment for demographic + waist circumference; include interaction term of diabetes and cortisol feature).

d

Model 3: HbA1c association with cortisol feature (adjustment for all variables; include interaction term of diabetes and cortisol feature).

*

the analyses focused on both diabetes and non-diabetes samples was based on log-transformed cortisol and HbA1c. The result of percent change by 1 unit change in the cortisol feature was derived by the exponentiation of the model coefficient estimates.

*

Statistically significant findings are in bold. The difference between non-diabetes and diabetes was calculated and was significant throughout all analyses.