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. 2019 Sep 1;16(17):3198. doi: 10.3390/ijerph16173198

Table 1.

Participant Profile (n = 294).

Feature Options Frequency (%)
Gender Male (coded as 1) 149 (50.68%)
Female (coded as 0) 145 (49.32%)
Age Below 18 13 (4.42%)
18–25 124 (42.18%)
26–35 108 (36.73%)
36–45 35 (11.9%)
46–55 9 (3.07%)
Over 56 5 (1.7%)
Occupation Student 96 (32.66%)
Government employee 25 (8.5%)
State-owned enterprise employee 57 (19.39%)
Private enterprises employee 80 (27.21%)
Freelancer 30 (10.2%)
Other 6 (2.04%)
Educational level Associate degree or below 42 (14.28%)
Bachelor degree 121 (41.16%)
Master’s degree 117 (39.8%)
Doctorate degree 14 (4.76%)
Monthly Income Below CNY 2000 87 (29.59%)
CNY 2001–4000 54 (18.37%)
CNY 4001–6000 68 (23.13%)
CNY 6001–8000 55 (18.71%)
Above CNY 8001 30 (10.2%)