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. 2020 Feb 14;17(4):1242. doi: 10.3390/ijerph17041242

Table 4.

Multivariate regression models predicting health outcomes according to different instruments.

Independent Variable Health Behaviours # Patient-Provider Communication & Health Status &
Total * Beijing Melbourne Total * Beijing Melbourne Total * Beijing Melbourne
β 95% CI β 95% CI β 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI
Health literacy
HLAT-8 0.06 0.01, 0.10 0.06 0.00, 0.11 0.08 −0.02, 0.17 1.07 1.04, 1.11 1.07 1.03, 1.10 1.10 1.01, 1.20 1.03 1.00, 1.06 1.03 0.99, 1.06 1.08 0.98, 1.19
NVS 0.06 −0.09, 0.20 0.10 −0.07, 0.26 −0.19 −0.50, 0.11 1.04 0.95, 1.15 1.08 0.98, 1.19 0.78 0.58, 1.05 1.00 0.90, 1.11 1.01 0.91, 1.12 0.82 0.51, 1.29
HLS-47 0.07 0.04, 0.10 0.06 0.02, 0.09 0.15 0.08, 0.23 1.03 1.01, 1.05 1.03 1.01, 1.05 1.08 1.01, 1.15 1.03 1.01, 1.05 1.03 1.01, 1.05 1.05 0.96, 1.15

β: unstandardized coefficient; CI, Confidence Interval; HLAT, the eight-item Health Literacy Assessment Tool; HLS-47, the 47-item Health Literacy Survey; NVS, the Newest Vital Sign; OR, Odds Ratio. # Separate multiple linear regression models were conducted to predict health behaviours according to each health literacy instrument; & Separate multiple logistic regression models were conducted to predict patient-provider communication and health status according to each health literacy instrument; * Location was additionally added as a controlling variable. All models were conducted, controlling for gender, year level, family composition, family affluence level, self-efficacy, social support, school environment and community environment. Bold values are those with p value less than 0.05.