Table 4.
The independent associations of age, gender, and race and ethnicity 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=161).
| Variable | Structural equation models | |||||||||||||
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b a | 95% CI | R 2b | RMSEAc | CFId | SRMRe | ||||||||
| Age (years) | ||||||||||||||
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Age groupf | 0.04 | –0.12 to 0.21 | 0.01 | 0.17 | 0.99 | 0.04 | |||||||
| Gender | ||||||||||||||
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Female (reference: male) | –0.14 | –0.66 to 0.38 | 0.01 | 0.00 | 1.00 | 0.02 | |||||||
| Race or ethnicity | ||||||||||||||
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Race or ethnicity (reference: White or European American) | 0.01 | 0.00 | 1.00 | 0.03 | |||||||||
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Black or African American | 0.03 | –0.69 to 0.75 |
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Hispanic or Latino | 0.09 | –0.45 to 0.64 |
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Other race or ethnicity | –0.20 | –1.02 to 0.62 |
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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.