Table 3.
Multivariate analyses for high Internet and cell phone use, Internet and cell phone use for health management, and preference for Internet and cell phone use for healthcare provider communicationa
High Internet and Cell Phone Useb | Internet and Cell Phone Use for Health Managementc | Preference for Internet and Cell Phone Use for Healthcare Provider Communication | |||||||
---|---|---|---|---|---|---|---|---|---|
AOR | 95% CI | P-value | AOR | 95% CI | p-value | AOR | 95% CI | p-value | |
Health Literacy Level | |||||||||
Adequate | 1.7 | 1.2–2.5 | 0.003 | 1.5 | 1.2–1.8 | 0.001 | 1.3 | 0.9–1.9 | 0.2 |
Marginal | 1.6 | 1.3–2.2 | <0.001 | 1.2 | 1.02–1.4 | 0.03 | 1.1 | 0.8–1.5 | 0.5 |
Low | 1.0 | Ref | Ref | 1.0 | Ref | Ref | 1.0 | Ref | Ref |
Language | |||||||||
English | 2.4 | 1.6–3.8 | <0.001 | 1.4 | 1.1–1.8 | 0.003 | 1.5 | 0.5–2.3 | 0.1 |
Spanish | 1.0 | Ref | Ref | 1.0 | Ref | Ref | 1.0 | Ref | Ref |
Incomed | |||||||||
≥$40,000 | 2.6 | 1.5–4.3 | <0.001 | 1.4 | 1.1–1.9 | 0.004 | 1.3 | 0.8–2.1 | 0.2 |
$20,000439,999 | 1.4 | 0.98–2.0 | 0.06 | 1.2 | 0.96–1.4 | 0.1 | 1.3 | 0.9–1.9 | 0.1 |
$10,000-$ 19,999 | 1.3 | 0.9–1.8 | 0.2 | 1.2 | 0.98–1.4 | 0.1 | 1.4 | 0.99–2.0 | 0.06 |
<$10,000 | 1.0 | Ref | Ref | 1.0 | Ref | Ref | 1.0 | Ref | Ref |
AOR, adjusted odds ratio. CI, confidence interval.
Adjusting for child age, parent age, race/ethnicity, language, country of birth, income, education, and site.
In adjusted analyses, younger age also associated with high Internet and cell phone use (p<0.001). Health literacy did not mediate language- or income-associated effects on high Internet and cell phone use; while Spanish language was associated with lower health literacy, and health literacy was associated with high Internet and cell phone use, the relationship between Spanish language and technology use was not attenuated by addition of health literacy to the model.
Health literacy did not mediate language- or income-associated effects on Internet and cell phone use for health management; while income was associated with lower health literacy, and health literacy was associated with use of Internet and cell phone for health management, the relationship between income and technology use for health management was not attenuated by addition of health literacy to the model.
Income unknown category was included in analyses; no statistically significant associations with dependent variables of interest were found.