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. 2017 Jan 28;40(4):zsx014. doi: 10.1093/sleep/zsx014

Table 3.

Results from linear regression models for associations between 4 different sleep timing variables and 5 metabolic health measures (n = 13429).

BMI, kg/m2, Regression coefficient (SE) Log of fasting glucose, Regression coefficient (SE) Log of HOMA− Insulin Resistance, Regression coefficient (SE) 2−hr glucose, mg/dl, Regression coefficient (SE) HbA1c, Regression coefficient (SE)
Weekly bedtimeb (per clock hour) −0.0895 (0.046) Diabetesc: 0.0266 (0.009)d
No diabetes: 0.0010 (0.001)
0.0128 (0.007) −0.4410 (0.218)e Diabetes: 0.0691 (0.0363)
No diabetes: −0.0066 (0.0036)
Weekly wake timeb (per clock hour) −0.0008 (0.046) 0.0026 (0.001)e 0.0133 (0.007) −0.1250 (0.212) 0.0032 (0.005)
Weekly sleep midpointf (per clock hour) −0.0664 (0.041) Diabetesc: 0.0232 (0.009)e
No diabetes: 0.0012 (0.001)
0.0145 (0.006)e −0.3283 (0.235) 0.0008 (0.005)
Chronotypef (per clock hour) −0.0120 (0.035) 0.0017 (0.001) 0.0118 (0.005)e −0.1740 (0.186) 0.0008 (0.004)

aResults are stratified by individuals without diabetes and those with diabetes but who are not taking medication only when interaction terms were significant.

bAdjusted for age, sex, Hispanic/Latino background group, study site, income, education, household size, years in US ( < 10 vs ≥10 y), marital status, sleep duration, AHI category ( < 15 vs ≥15), diabetes, employment/shift work status.

cThe effect by diabetes status based on the model with interaction term.

d p < 0.01.

e p < .05.

fAdjusted for age, sex, Hispanic/Latino background group, study site, income, education, household size, years in US ( < 10 vs. ≥10 years), marital status, AHI category ( <15 vs. ≥15), diabetes, employment/shift work status.

g p < .001.