From: The impact of internet use on health among older adults in China: a nationally representative study
Variables | 2014 | 2016 | 2018 | 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
N | mean | sd | N | mean | sd | N | mean | sd | N | mean | sd | |
health | 7,127 | 2.465 | 1.206 | 6,979 | 2.404 | 1.182 | 6,359 | 2.490 | 1.230 | 3,214 | 2.623 | 1.257 |
poormental | 7,127 | 9.079 | 3.636 | 6,979 | 9.579 | 3.531 | 6,359 | 9.864 | 3.512 | 3,214 | 9.789 | 3.592 |
frequency | 7,127 | 0.316 | 1.954 | 6,979 | 0.608 | 2.757 | 6,359 | 1.238 | 3.961 | 3,214 | 1.856 | 6.009 |
urban | 7,127 | 0.485 | 0.500 | 6,979 | 0.480 | 0.500 | 6,359 | 0.479 | 0.500 | 3,214 | 0.470 | 0.499 |
age | 7,127 | 67.98 | 6.769 | 6,979 | 68.42 | 6.708 | 6,359 | 68.73 | 6.114 | 3,214 | 68.91 | 5.677 |
male | 7,127 | 0.516 | 0.500 | 6,979 | 0.514 | 0.500 | 6,359 | 0.519 | 0.500 | 3,214 | 0.517 | 0.500 |
mate | 7,127 | 0.795 | 0.404 | 6,979 | 0.801 | 0.399 | 6,359 | 0.815 | 0.389 | 3,214 | 0.825 | 0.380 |
insurance | 7,127 | 0.939 | 0.240 | 6,979 | 0.932 | 0.252 | 6,359 | 0.930 | 0.256 | 3,214 | 0.906 | 0.292 |
income | 7,127 | 2,186 | 7,237 | 6,979 | 501.8 | 4,190 | 6,359 | 1,991 | 9,171 | 3,214 | 2,540 | 13,034 |
edu | 7,127 | 4.211 | 4.489 | 6,979 | 4.386 | 4.533 | 6,359 | 1.971 | 1.117 | 3,214 | 5.272 | 4.691 |
smoke | 7,127 | 0.159 | 0.366 | 6,979 | 0.159 | 0.365 | 6,359 | 0.178 | 0.383 | 3,214 | 0.157 | 0.364 |
nap | 7,127 | 0.591 | 0.492 | 6,979 | 0.569 | 0.495 | 6,359 | 0.648 | 0.478 | 3,214 | 0.700 | 0.458 |
BMI | 7,127 | 0.558 | 0.497 | 6,979 | 0.533 | 0.499 | 6,359 | 0.531 | 0.499 | 3,214 | 0.530 | 0.499 |
offspring | 4,750 | 2.376 | 1.336 | 5,341 | 2.296 | 1.282 | 6,359 | 2.300 | 1.300 | 2,957 | 2.121 | 1.239 |
discomfort | 7,127 | 0.411 | 0.492 | 6,979 | 0.404 | 0.491 | 6,359 | 0.423 | 0.494 | 3,214 | 0.357 | 0.479 |
disease | 7,127 | 0.306 | 0.461 | 6,979 | 0.310 | 0.462 | 6,359 | 0.312 | 0.463 | 3,214 | 0.301 | 0.459 |