Characteristics of frequent users of selected information and communication technology (ICT) type (at least once a week), showing high/some interest in receiving information and asking physicians about asthma
| Interest in receiving information through ICT type | Interest in asking questions to physicians through ICT type | |
| SMS (n=348) | ||
| Sex # | ||
| Female | 2.61 (1.78–3.79) | 2.55 (1.76–3.69) |
| Weekly SMS use¶ | 1.81 (1.27–2.60) | 2.57 (1.78–3.69) |
| Facebook (n=307) | ||
| Age+ | ||
| Young | 2.75 (1.51–5.00) | 3.69 (2.05–6.65) |
| Adult | 2.90 (1.88–4.48) | 2.45 (1.58–3.80) |
| Education level§ | ||
| University/postgraduate | 3.22 (1.66–6.26) | 2.05 (1.11–3.78) |
| Weekly Facebook use | 12.58 (7.73–20.47) | 12.04 (7.34–19.75) |
| E-mail (n=287) | ||
| Age+ | ||
| Adult | 1.63 (1.08–2.45) | 1.67 (1.11–2.49) |
| Education level§ | ||
| University/postgraduate | 11.73 (6.06–22.69) | 8.66 (4.61–16.25) |
| Weekly E-mail use | 12.04 (8.06–17.98) | 13.48 (8.90–20.43) |
Data are presented as OR (95% CI). The regression analysis was adjusted for variables such as age, sex, educational level and duration of time with asthma since diagnosis. Regression analyses using weekly ICT types were performed separately (non-adjusted). All values displayed are significant at the 0.05 significance level. SMS: short message service. #: reference sex is male; ¶: reference ICT use is less than once a week; +: reference age category is old adult; §: reference educational level category is no education/elementary.