Skip to main content
. 2020 Jun 15;55(2):144–154. doi: 10.1093/abm/kaaa040

Table 4.

Associations of predictors and covariates with proxies of sleep behavior as the dependent variable

TST Onset latency Nighttime awakenings
β (SE) p β (SE) p β (SE) p
Glycemic variability
 Intercept 540.42 (82.94) <.0001 31.19 (15.50) .05 42.25 (14.77) .01
 GV 0.53 (0.31) .09 0.13 (0.06) .03 0.08 (0.05) .16
 Weekday 63.98 (36.21) .08 −8.83 (6.71) .19 9.34 (5.96) .12
 GV × Weekday −0.65 (0.37) .08 0.13 (0.07) .07 1.72 (0.94) .01
Average blood glucose
 Intercept 614.47 (96.04) <.0001 10.88 (17.77) .55 52.36 (17.14) .01
 BP 0.07 (0.29) .81 −0.06 (0.05) .32 0.01 (0.05) .98
 WP −0.09 (0.24) .71 −0.06 (0.04) .18 −0.06 (0.04) .13
 Weekday 0.81 (12.61) .95 2.19 (2.33) .35 −0.26 (0.22) .91
 WP avg BG × Weekday −0.02 (0.29) .95 0.04 (0.06) .48 0.06 (0.05) .26

Bolded values indicate beta weights with p < .05. All models controlled for age, number of blood glucose checks, hemoglobin A1c, and the number of minutes each child engaged in moderate-to-vigorous physical activity. The variable “Weekday” was coded as a dichotomous variable such that weekdays ( Monday, Tuesday, Wednesday, and so forth) were coded as 1 and weekend days (i.e., Sunday and Saturday) were coded as 0.

BP between person; GV glycemic variability; TST total sleep time; WP within person.