Table 4.

Regression models examining weekend catchup sleep and mean GPA and Absences, Effects of Sleep on Education and Health Outcomes Among Adolescents. 9^th grade students, 2019–2020 school year (N = 430).

	GPA (Linear regression)				Absences (Poisson regression)
	Unadjusted		Adjusteda		Unadjusted			Adjusted
	b	95% CI	b	95% CI	b	OR	95% CI	b	OR	95% CI
Intercept	84.9	(83.5. 86.4)	83.1	(80.7. 85.4)	1.5	4.5	(4.2.4.8)	2.0	7.4	(6.4.8.6)
Weekend catchup sleep	−0.O4	(−0.5. 0.4)	−0.1	(−0.5. 0.4)	0.1	1.1	(1.0.1.08)	0.O4	1.04	(1.02.1.07)
Race/Ethnicity b
Asian			5.4	(1.6, 9.2)				−0.6	0.5	(0.4,0.7)
Black			−2.4	(−4.8, −0.2)				−0.2	0.8	(0.7. 0.9)
Hispanic			1.3	(−0.8, 3.6)				−0.6	0.6	(0.5. 0.64)
Multiracial			−3.5	(−7.3, 0.1)				−0.3	0.7	(0.6. 0.9)
White			Ref	-				Ref	-	-
FRL Eligible c
No			3.5	(1.9, 5.2)				−0.3	0.7	(0.6,0.8)
Yes			Ref	-				Ref	-	-
Gender
Female			3.4	(1.9, 5.0)				0.1	1.2	(1.1,1.3)
Male			Ref	-
Parental Education
< High school			Ref	-				Ref
High school graduate			−1.1	(−3.8, 1.7)				−0.2	0.8	(0.7,0.9)
Some college			2.2	(−0.7, 5.0)				−0.3	0.7	(0.6,0.8)
College or greater			3.2	(0.5, 5.7)				−0.4	0.7	(0.6,0.8)

OR: Odds Ratio.

^*p < 0.05.

^aAdjusted for race/ethnicity, free/reduced lunch, gender, parental education.

^bSchool-reported race/ethnicity.

^cFree/reduced lunch eligible.