Table 3.

Significant factors associated with sleep disturbance: results from a linear mixed-effects regression model. Summary of significant variables and their associations with sleep disturbance based on a linear mixed-effects regression model. The model was used to assess the differences in the change in the variables of interest between each active product arm versus placebo. The table presents the beta coefficients (β), standard errors (Std.Error), degrees of freedom (DF), t-values, and p-values for each variable. Higher values indicate a stronger positive association with sleep disturbance, while lower values indicate a stronger negative association.

	Value	Std.Error	DF	t-Value	p-Value
(Intercept)	24.725	1.367	1238	18.089	<0.001
Education	1.846	0.477	610	3.872	<0.001
Sex at Birth	−0.075	0.492	610	−0.153	0.879
Age	−0.018	0.022	610	−0.822	0.411
Race: non-white	−0.933	0.615	610	−1.517	0.130
Race: Native Hawaiian or Pacific Islander	3.028	3.833	610	0.790	0.430
BMI	0.070	0.029	610	2.408	0.016
Hispanic, LatinX, or Spanish origin	0.152	0.830	610	0.184	0.854
Study week	−1.339	0.150	1238	−8.919	<0.001
TreatSleep A (Arm 1)	0.424	0.592	610	0.715	0.475
TreatSleep B (Arm 2)	0.458	0.586	610	0.781	0.435
Study week: TreatSleep A (Arm 1)	−0.639	0.212	1238	−3.010	0.003
Study week: TreatSleep B (Arm 2)	−0.236	0.208	1238	−1.133	0.257