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. 2020 Sep 18;22(9):e18663. doi: 10.2196/18663

Table 3.

Sociodemographic comparison between WeChat users and nonusers.

Characteristic All respondents (N=400) WeChat users P valuea
No (N=237) Yes (N=163)
Age, mean (SD) 46.87 (10.99) 50.42 (0.67) 41.70 (0.77) <.001b
Gender


.611

Male, n (%) 200 (50.00) 121 (51.05) 79 (48.47)


Female, n (%) 200 (50.00) 116 (48.95) 84 (51.53)
Marriage


.403

Single, n (%) 150 (37.50) 83 (35.02) 67 (41.10)

Married/cohabited, n (%) 172 (43.00) 104 (43.88) 68 (41.72)

Elsec, n (%) 78 (19.50) 50 (21.10) 28 (17.18)
Education


<.001b

Primary and below, n (%) 75 (18.75) 66 (27.85) 9 (5.52)

Middle and high, n (%) 271 (67.75) 158 (66.67) 113 (69.33)

College and above, n (%) 54 (13.50) 13 (5.49) 41 (25.15)
Employment


.001b

Unemployed, n (%) 358 (89.50) 222 (93.67) 136 (83.44)

Employed, n (%) 42 (10.50) 15 (6.33) 27 (16.56)

aDescriptive statistics were compared with chi-square tests for categorical variables (gender, marriage, education, and employment) and unpaired t test for continuous variable (age).

bSignificance at P<.05 or P<.01.

cElse include divorced, separated, and widowed.