Table 5.

The independent associations of age, gender, and race or ethnicity and their respective interactions by sexual minority status with willingness to use digital health tools for public health screening and tracking (latent variable) in separate structural equation models in a national probability sample of sexual minority people (N=1928).

Variable				Structural equation models
			b a		95% CI		R2b			RMSEAc			CFId			SRMRe
Age (years)									0.02			0.03			1.00			0.01
	Age groupf		–0.02		–0.06 to 0.02
	Sexual minority (reference: heterosexual)		0.28		–0.32 to 0.88
	Age group × sexual minority		0.06		–0.10 to 0.22
Gender									0.02			0.00			1.00			0.01
	Female (reference: male)		0.05		–0.08 to 0.19
	Sexual minority		0.58		0.25 to 0.91
	Female × sexual minority		–0.19		–0.68 to 0.31
Race or ethnicity
	Race or ethnicity (reference: White or European American)							0.05			0.01			1.00			0.01
		Black or African American	0.41		0.19 to 0.62
		Hispanic or Latino	0.36		0.18 to 0.55
		Other race or ethnicity	0.54		0.31 to 0.77
Sexual minority				0.61		0.28 to 0.94
Race or ethnicity × sexual minority
	Black/African American × sexual minority		–0.35		–1.05 to 0.35
	Hispanic or Latino × sexual minority		–0.21		–0.77 to 0.35
	Other race or ethnicity × sexual minority		–0.75		–1.57 to 0.07

^ab=unstandardized regression coefficient.

^bR²=coefficient of determination.

^cRMSEA: root-mean-square standard error of approximation.

^dCFI: comparative fit index.

^eSRMR: standardized root-mean-square residual.

^fAge group is an ordinal variable with levels as follows: (1) 18-24 years, (2) 25-34 years, (3) 35-44 years, (4) 45-54 years, (5) 55-64 years, (6) 65-74 years, and (7) ≥75 years.