Table 1. Distribution of Screen Time according different variable .
|
Screen Time N (%) |
Using Cell phone & tablet N (%) |
|
| Sex | ||
| Male | 472(50.80) | 211(22.71) |
| Female | 713(45.21) | 267(16.93) |
| Physical Activity | ||
| Inadequate PA | 440(42.92) | 175(17.07) |
| Adequate PA | 745(50.30) | 303(20.45) |
| weight | ||
| Low/Normal | 860(45.21) | 357(18.76) |
| Obese Overweight | 325(53.80) | 121(20.03) |
| Mother Education | ||
| Illiterate | 200(42.28) | 77(16.27) |
| Elementary | 295(46.09) | 118(18.43) |
| Guidance | 191(47.16) | 76(18.76) |
| High school | 284(51.82) | 122(22.26) |
| Academic | 215(49.08) | 85(19.40) |
| Education Father | ||
| Uneducated | 93(42.66) | 27(12.38) |
| Elementary | 220(43.91) | 85(16.96) |
| Guidance | 189(45) | 94(22.38) |
| High school | 270(47.78) | 101(17.87) |
| Academic | 409(51.44) | 171(21.50) |
| SES | ||
| Poorest SES | 454(40.53) | 160(14.28) |
| Poor SES | 218(46.88) | 68(14.62) |
| Middle SES | 198(55.61) | 94(26.40) |
| Rich SES | 178(56.50) | 83(26.34) |
| Richest SES | 137(54.80) | 73(29.20) |
| Mother Age | ||
| 30< | 87(49.71) | 42(24) |
| 30-39 | 748(47.52) | 302(19.18) |
| 40< | 350(46.35) | 134(17.74) |
| Father Age | ||
| 30< | 456(47.01) | 189(19.48) |
| 30-39 | 607(47.34) | 241(18.79) |
| 40< | 116(47.54) | 46(18.85) |
| Residential Area | ||
| 1th | 132(37.18) | 43(12.11) |
| 2th | 280(46.35) | 124(20.52) |
| 3th | 430(48.69) | 172(19.47) |
| 4th | 185(49.59) | 68(18.23) |
| 5th | 158(54.29) | 71(24.39) |
| Age | ||
| 10 | 189(50.53) | 71(18.98) |
| 11 | 492(47.12) | 194(18.58) |
| 12 | 504(46.32) | 213(19.57) |
SES socioeconomic statue, residential areas are classified by socioeconomic status from the lowest to the highest