Table 4. Binary logistic regression model for the use of the Internet as a source of scoliosis related information.
Variables | No. of Internet use | Total no. | OR | P | |
---|---|---|---|---|---|
Gender | Female | 215 | 242 | 1.9 | 0.48 |
Male | 31 | 38 | 1 | ||
Age distribution of respondents | 20∼30 years | 60 | 63 | 2.1 | 0.27 |
30∼40 tears | 115 | 122 | 1.8 | 0.36 | |
Over 40 years | 71 | 95 | 1 | ||
Education | Primary school and below | 23 | 41 | 1 | |
Secondary school | 98 | 109 | 1.7 | 0.18 | |
High school | 79 | 84 | 2.4 | 0.09 | |
College and above | 46 | 46 | 3.8 | 0.041 | |
Family location | Urban | 174 | 184 | 3.4 | 0.027* |
Rural | 72 | 96 | 1 | ||
Visit type | First visit | 95 | 114 | 0.8 | 0.67 |
Follow up | 151 | 166 | 1 | ||
Prior corrective surgery | Yes | 68 | 75 | 1 | |
No | 178 | 205 | 0.84 | 0.35 | |
Internet access at home | Yes | 191 | 194 | 4.5 | 0.013* |
No | 55 | 86 | 1 | ||
Regular Internet user | Yes | 145 | 158 | 1.5 | 0.27 |
No | 101 | 122 | 1 |
*: P<0.05