Logistic regression analysis (Nagelkerke R2 and Exp (B) with 95% Confidence Interval) with different user types as the dependent variables.

*pppaCalculations of percentages for non-Internet users based on the total number of respondents (N = 2,400); calculations of percentages for other user types based on the number of Internet users (n = 1,589).bAccording to the subcategories in Table 1, numbers were used to order corresponding variables of gender (1 = male, 2 = females), age (1 = 14–24 years, 2 = 25–34 years, 3 = 35–44 years, 4 = 45–60 years), income (i.e., monthly salary, 1 = no income, 2 = less than 1000 CNY, 3 = 1000–2999 CNY, 4 = 3000–4999 CNY, 5 = 5000–6999 CNY, 6 = 7000 CNY or above), education (1 = primary school or below, 2 = middle school, 3 = high school, 4 = secondary school, 5 = associate, 6 = bachelor, 7 = master or above) and city (1 = Beijing, 2 = Shanghai, 3 = Guangzhou, 4 = Chengdu, 5 = Shenyang, 6 = Wuhan, 7 = Xi’an, 8 = Fuzhou).cThe mode category of reported online time were (0, 4) h/D for both workday and weekend.dThe mode category of reported online time were (4, 10) h/D for both workday and weekend.