Table 4.

Results from linear regression models for associations between sleep timing variables and metabolic health measures (n = 13429) stratified by age-groups^a: ( < 35, 36– < 55, 56– < 70, > = 70) for models in which interaction term by age was significant.

	Age Groups	BMI, kg/m2, Regression coefficient (SE)	Log of fasting glucose, Regression coefficient (SE)	HbA1c, Regression coefficient (SE)
Weekly bedtimeb (per clock hour)	≤35 years	Interaction term not significant	−0.0002 (0.001)	Interaction term not significant
	36–55 years		0.003 (0.002)c
	56– < 70 years		0.009 (0.004)c
	≥70 years		0.007 (0.007)
Weekly wake timeb (per clock hour)	≤35 years	−0.122 (0.065)	Interaction term not significant	−0.007 (0.004)c
	36–55 years	0.079 (0.058)		0.003 (0.007)
	56– < 70 years	0.144 (0.113)		0.030 (0.012)d
	≥70 years	0.157 (0.193)		−0.013 (0.029)
Weekly sleep midpointe (per clock hour)	≤35 years	−0.142 (0.068)c	−0.0002 (0.001)	−0.010 (0.004)d
	36–55 years	−0.006 (0.067)	0.003 (0.002)	0.002 (0.008)
	56– < 70 years	−0.043 (0.055)	0.011 (0.006)	0.026 (0.016)
	≥70 years	0.100 (0.223)	0.006 (0.008)	−0.014 2(0.032)
Chronotypee (per clock hour)	≤35 years	Interaction term not significant	−0.0001 (0.001)	−0.005 (0.003)
	36–55 years		0.0005 (0.002)	−0.002 (0.007)
	56– < 70 years		0.0124 (0.005)c	0.032 (0.017)
	≥70 years		0.0053 (0.008)	−0.017 (0.031)

^aThe effect by age group based on the model with interaction term

^bAdjusted for age groups, 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.

^c p < .05.

^d p < 0.01.

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

^f p < .001.