Table A.
Demographic and anthropometric characteristics.
| Total |
Web 1.0 |
Web 2.0 |
Logbook |
P Value | |||||
|---|---|---|---|---|---|---|---|---|---|
| Variable | N N | M(SD) or % | N | M(SD) or % | N | M(SD) or % | N | M(SD) or % | |
| Gender | |||||||||
| Male | 176 | 34.9% | 58 | 35.2% | 54 | 32.1% | 64 | 37.4% | |
| Female | 328 | 65.1% | 107 | 64.8% | 114 | 67.9% | 107 | 62.6% | 0.592 |
| Age | 504 | 50.8 (13.1) | 165 | 49.9 (13.5) | 168 | 50.6 (13.4) | 171 | 51.9 (12.3) | 0.381 |
| Age category | |||||||||
| 18-34 | 72 | 14.3% | 30 | 18.2% | 22 | 13.1% | 20 | 11.7% | |
| 35-44 | 90 | 17.9% | 24 | 14.5% | 37 | 22.0% | 29 | 17.0% | |
| 45-54 | 137 | 27.2% | 47 | 28.5% | 41 | 24.4% | 49 | 28.7% | 0.428 |
| 55-64 | 128 | 25.4% | 44 | 26.7% | 41 | 24.4% | 43 | 25.1% | |
| 65a | 77 | 15.3% | 20 | 12.1% | 27 | 16.1% | 30 | 17.5% | |
| Geographic location | |||||||||
| Western Sydney | 193 | 38.3% | 60 | 36.4% | 63 | 37.5% | 70 | 40.9% | |
| Rockhampton | 311 | 61.7% | 105 | 63.6% | 105 | 62.5% | 101 | 59.1% | 0.667 |
| Country of birth | |||||||||
| Australia | 398 | 79.0% | 134 | 81.2% | 135 | 80.4% | 129 | 75.4% | |
| Other | 106 | 21.0% | 31 | 18.8% | 33 | 19.6% | 42 | 24.6% | 0.372 |
| Highest education levela | |||||||||
| Higher Education | 171 | 33.9% | 55 | 33.3% | 57 | 33.9% | 59 | 34.5% | |
| Trade/Diploma | 193 | 38.3% | 61 | 37.0% | 63 | 37.5% | 69 | 40.4% | 0.908 |
| School Education | 140 | 27.8% | 49 | 29.7% | 48 | 28.6% | 43 | 25.1% | |
| Employment statusb | |||||||||
| Full time | 234 | 46.4% | 77 | 46.7% | 76 | 45.2% | 81 | 47.4% | |
| Part time/Casual | 111 | 22.0% | 38 | 23.0% | 36 | 21.4% | 37 | 21.6% | 0.975 |
| Other | 159 | 31.5% | 50 | 30.3% | 56 | 33.3% | 53 | 31.0% | |
| Occupational categoryc | |||||||||
| Professional | 159 | 31.5% | 50 | 30.3% | 54 | 32.1% | 55 | 32.2% | |
| White collar | 102 | 20.2% | 37 | 22.4% | 36 | 21.4% | 29 | 17.0% | 0.656 |
| Blue collar | 31 | 6.2% | 8 | 4.8% | 8 | 4.8% | 15 | 8.8% | |
| Other | 53 | 10.5% | 20 | 12.1% | 14 | 8.3% | 19 | 11.1% | |
| No response | 159 | 31.5% | 50 | 30.3% | 56 | 33.3% | 53 | 31.0% | |
| Weekly household income | |||||||||
| <$1000 | 140 | 27.8% | 46 | 27.9% | 50 | 29.8% | 44 | 25.7% | |
| $1000 to $1999 | 146 | 29.0% | 44 | 26.7% | 43 | 25.6% | 59 | 34.5% | 0.574 |
| $2000 to $5000a | 150 | 29.8% | 49 | 29.7% | 52 | 31.0% | 49 | 28.7% | |
| No response | 68 | 13.5% | 26 | 15.8% | 23 | 13.7% | 19 | 11.1% | |
| Height (m) | 504 | 1.67 (0.1) | 165 | 1.67 (0.1) | 168 | 1.67 (0.1) | 171 | 1.67 (0.1) | 0.884 |
| Weight (kg) | 504 | 81.9 (18.9) | 165 | 83.2 (18.5) | 168 | 78.5 (17.9) | 171 | 84.0 (19.9) | 0.014* |
| BMI (kg/m2) | 504 | 29.3 (5.9) | 165 | 29.7 (5.9) | 168 | 28.2 (5.5) | 171 | 30.1 (6.1) | 0.007* |
| BMI category | |||||||||
| Under/normal weight | 122 | 24.2% | 31 | 18.8% | 55 | 32.7% | 36 | 21.1% | |
| Overweight | 179 | 35.5% | 64 | 38.8% | 60 | 35.7% | 55 | 32.2% | 0.007* |
| Obese | 203 | 40.3% | 70 | 42.4% | 53 | 31.5% | 80 | 46.8% | |
| Waist category | |||||||||
| Healthy | 67 | 14.3% | 19 | 12.3% | 29 | 18.2% | 19 | 12.2% | |
| Risky | 101 | 21.5% | 36 | 23.4% | 33 | 20.8% | 32 | 20.5% | 0.480 |
| High Risk | 301 | 64.2% | 99 | 64.3% | 97 | 61.0% | 105 | 67.3% | |
| Waist girth (cm) | 469 | 99.9 (14.3) | 154 | 100.8 (14.3) | 159 | 98.1 (13.8) | 156 | 100.9 (14.8) | 0.146 |
*P < 0.05; M = mean, SD = standard deviation.
a
Highest Education: Higher education-bachelor, graduate diploma/certificate, postgraduate; Trade/Diploma-certificate, diploma, advanced diploma; School education-high school.
b
Employment: Other-unemployed, retired, student, home duties, pensioner.
c
Occupation: Professional–professional, manager; White collar-community and personal service workers, clerical and administrative, sales; Blue collar-technical and trades worker, operator, driver, manual labor; Other-taxi driver, telephone interviewer, cashier, grazier, multiple jobs.