Table 4.

Significant factors associated with anxiety: results from a linear mixed-effects regression model. Summary of significant variables and their associations with anxiety 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 anxiety, while lower values indicate a stronger negative association.

	Value	Std.Error	DF	t-Value	p-Value
(Intercept)	11.007	0.764	773	14.415	<0.001
Education: no college degree [Ref: College Degree]	0.744	0.266	610	2.795	0.005
Sex at birth: male [Ref: Female]	−0.398	0.276	610	−1.439	0.151
Age	−0.035	0.012	610	−2.855	0.005
Race: Non-white [Ref: white]	−0.027	0.345	610	−0.078	0.938
Race: Native Hawaiian or Pacific Islander [Ref: white]	0.667	2.258	610	0.295	0.768
BMI	0.021	0.016	610	1.264	0.207
Hispanic, LatinX, or Spanish origin: yes [Ref: No]	0.196	0.452	610	0.434	0.665
Study week	−0.445	0.087	773	−5.126	<0.001
Sleep A (Arm 1)	0.388	0.329	610	1.179	0.239
Sleep B (Arm 2)	0.577	0.326	610	1.769	0.078
Study week: Sleep A (Arm 1)	−0.259	0.127	773	−2.044	0.041
Study week: Sleep B (Arm 2)	−0.066	0.123	773	−0.537	0.592