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. 2016 Sep 30;13(10):975. doi: 10.3390/ijerph13100975

Table 5.

Multiple−linear regression analysis of factors of health knowledge and behavior among the elderly in sample areas.

Influencing Factors of Health Knowledge Influencing Factors of Health Behaviors
Characteristic Variables Unstandardized Coefficients Standardized Coefficients t Value p 95% Confidence Unstandardized Coefficients Standardized Coefficients t Value p 95% Confidence
B SE Beta Lower Upper B SE Beta Lower Upper
Constant 5.515 0.285 19.343 0.000 *** 4.956 6.074 20.199 0.448 45.079 0.000 *** 19.320 21.078
Henan −0.036 0.150 −0.007 −0.243 0.808 −0.330 0.257 −0.408 0.235 −0.044 −1.733 0.083 −0.869 0.054
Zhejiang 0.484 0.155 0.096 3.113 0.002 ** 0.179 0.788 4.254 0.244 0.459 17.427 0.000 *** 3.775 4.733
66–70 −0.067 0.187 −0.013 −0.360 0.719 −0.433 0.299 0.406 0.293 0.043 1.383 0.167 −0.170 0.981
71–75 0.029 0.196 0.005 0.148 0.882 −0.355 0.413 0.436 0.308 0.043 1.417 0.157 −0.167 1.039
76–80 −0.311 0.203 −0.052 −1.528 0.127 −0.710 0.088 −0.218 0.320 −0.020 −0.682 0.495 −0.845 0.409
Above 80 −1.278 0.242 −0.164 −5.274 0.000 ** −1.753 −0.803 −1.324 0.381 −0.092 −3.477 0.001 ** −2.071 −0.577
Primary school −0.005 0.127 −0.001 −0.043 0.966 −0.254 0.243 0.184 0.199 0.020 0.924 0.356 −0.207 0.575
Junior high school 0.914 0.175 0.130 5.214 0.000 *** 0.570 1.258 1.151 0.275 0.089 4.179 0.000 *** 0.611 1.691
Senior high school 1.529 0.376 0.096 4.066 0.000 *** 0.792 2.267 2.182 0.591 0.075 3.693 0.000 *** 1.023 3.341
College 1.882 0.551 0.081 3.417 0.001 ** 0.802 2.963 3.267 0.866 0.077 3.773 0.000 *** 1.569 4.965
Migrant-workers 1.689 0.279 0.149 6.062 0.000 *** 1.143 2.236 −2.259 0.438 −0.108 −5.157 0.000 *** −3.118 −1.400
The self-employed 1.144 0.310 0.088 3.686 0.000 *** 0.535 1.753 0.810 0.488 0.034 1.660 0.097 −0.147 1.767
Retirees −0.099 0.183 −0.013 −0.544 0.587 −0.457 0.259 0.651 0.287 0.047 2.270 0.023 * 0.088 1.214
Others 0.282 0.249 0.027 1.135 0.257 −0.206 0.771 0.158 0.391 0.008 0.404 0.686 −0.609 0.925
Distance from home to healthcare institutions −0.675 0.158 −0.103 −4.263 0.000 *** −0.986 −0.364 −1.280 0.249 −0.107 −5.146 0.000 *** −1.768 −0.792
5001–10,000 RMB 0.047 0.188 0.007 0.249 0.803 −0.322 0.416 −0.332 0.296 −0.027 −1.122 0.262 −0.911 0.248
10,001–15,000 RMB −0.001 0.168 0.000 −0.008 0.994 −0.331 0.329 −0.135 0.264 −0.013 −0.510 0.610 −0.653 0.384
15,001–20,000 RMB 0.167 0.236 0.019 0.708 0.479 −0.296 0.630 0.348 0.371 0.021 0.938 0.348 −0.380 1.076
>20,000 RMB 0.536 0.158 0.106 3.382 0.001 ** 0.225 0.847 0.306 0.249 0.033 1.230 0.219 −0.182 0.795

Note: The p value was calculated by ANOVA analysis, * p < 0.05, ** p < 0.01, *** p < 0.001.