Table 2. Odds ratios (95% CI) for reporting suboptimal lifestyle behaviours among those of Lebanese ethnicity relative to those of Australian ethnicity.
| Australian ethnicity (ref.) | Lebanese ethnicity | |||
|---|---|---|---|---|
| Lebanese-born | Australian-born | Born in other countries | ||
| Physical activity | ||||
| Model 1a | 1.00 | 2.34 (1.87, 2.93) p<0.001 | 0.75 (0.55, 1.02) p = 0.063 | 2.30 (1.38, 3.83) p = 0.001 |
| Model 2b | 1.00 | 2.42 (1.93, 3.04) p<0.001 | 0.77 (0.56, 1.05) p = 0.096 | 2.38 (1.42, 3.98) p = 0.001 |
| Model 3c | 1.00 | 2.20 (1.75, 2.76) p<0.001 | 0.78 (0.57, 1.06) p = 0.115 | 2.52 (1.50, 4.22) p<0.001 |
| Model 4d | 1.00 | 2.03 (1.62, 2.55) p<0.001 | 0.78 (0.57, 1.06) p = 0.115 | 2.44 (1.45, 4.09) p = 0.001 |
| ICC for Model 1: 0.014 (0.010, 0.021) | ||||
| Sitting time | ||||
| Model 1a | 1.00 | 0.65 (0.49, 0.85) p = 0.002 | 0.85 (0.65, 1.11) p = 0.238 | 0.82 (0.46, 1.45) p = 0.491 |
| Model 2b | 1.00 | 0.61 (0.47, 0.80) p<0.001 | 0.81 (0.62, 1.07) p = 0.138 | 0.81 (0.46, 1.45) p = 0.485 |
| Model 3c | 1.00 | 0.71 (0.54, 0.94) p = 0.015 | 0.79 (0.60, 1.04) p = 0.095 | 0.77 (0.43, 1.37) p = 0.373 |
| Model 4d | 1.00 | 0.65 (0.50, 0.85) p = 0.002 | 0.78 (0.59, 1.02) p = 0.071 | 0.72 (0.40, 1.28) p = 0.262 |
| ICC for Model 1: 0.029 (0.023, 0.037) | ||||
| Vegetable consumption | ||||
| Model 1a | 1.00 | 1.21 (0.92, 1.60) p = 0.178 | 0.91 (0.70, 1.20) p = 0.521 | 1.60 (0.79, 3.26) p = 0.191 |
| Model 2b | 1.00 | 1.12 (0.85, 1.49) p = 0.422 | 0.92 (0.70, 1.21) p = 0.544 | 1.60 (0.78, 3.27) p = 0.197 |
| Model 3c | 1.00 | 1.21 (0.91, 1.60) p = 0.196 | 0.90 (0.68, 1.18) p = 0.430 | 1.50 (0.74, 3.07) p = 0.262 |
| Model 4d | 1.00 | 1.17 (0.88, 1.56) p = 0.270 | 0.89 (0.67, 1.17) p = 0.391 | 1.45 (0.71, 2.96) p = 0.308 |
| ICC for Model 1: 0.014 (0.010, 0.020) | ||||
| Fruit consumption | ||||
| Model 1a | 1.00 | 0.58 (0.46, 0.73) p<0.001 | 0.73 (0.58, 0.92) p = 0.009 | 0.49 (0.29, 0.86) p = 0.012 |
| Model 2b | 1.00 | 0.54 (0.42, 0.68) p<0.001 | 0.73 (0.58, 0.93) p = 0.012 | 0.48 (0.28, 0.84) p = 0.010 |
| Model 3c | 1.00 | 0.48 (0.38, 0.61) p<0.001 | 0.74 (0.58, 0.94) p = 0.014 | 0.49 (0.28, 0.86) p = 0.013 |
| Model 4d | 1.00 | 0.48 (0.38, 0.61) p<0.001 | 0.74 (0.58, 0.94) p = 0.015 | 0.50 (0.29, 0.88) p = 0.016 |
| ICC for Model 1: 0.007 (0.005, 0.010) | ||||
| Red meat consumption | ||||
| Model 1a | 1.00 | 0.90 (0.72, 1.11) p = 0.312 | 1.04 (0.83, 1.31) p = 0.715 | 1.02 (0.62, 1.67) p = 0.941 |
| Model 2b | 1.00 | 0.89 (0.72, 1.11) p = 0.298 | 1.06 (0.84, 1.34) p = 0.605 | 1.02 (0.62, 1.68) p = 0.935 |
| Model 3c | 1.00 | 0.88 (0.71, 1.09) p = 0.249 | 1.05 (0.83, 1.32) p = 0.693 | 1.02 (0.62, 1.68) p = 0.940 |
| Model 4d | 1.00 | 0.90 (0.72, 1.11) p = 0.319 | 1.05 (0.84, 1.33) p = 0.685 | 1.04 (0.63, 1.71) p = 0.873 |
| ICC for Model 1: 0.004 (0.002, 0.007) | ||||
| Processed meat consumption | ||||
| Model 1a | 1.00 | 0.29 (0.24, 0.37) p<0.001 | 0.82 (0.63, 1.07) p = 0.148 | 0.76 (0.43, 1.32) p = 0.327 |
| Model 2b | 1.00 | 0.26 (0.21, 0.33) p<0.001 | 0.88 (0.67, 1.15) p = 0.351 | 0.76 (0.43, 1.34) p = 0.338 |
| Model 3c | 1.00 | 0.23 (0.18, 0.29) p<0.001 | 0.91 (0.70, 1.19) p = 0.490 | 0.81 (0.45, 1.44) p = 0.467 |
| Model 4d | 1.00 | 0.23 (0.18, 0.29) p<0.001 | 0.92 (0.70, 1.20) p = 0.525 | 0.83 (0.47, 1.48) p = 0.526 |
| ICC for Model 1: 0.015 (0.011, 0.021) | ||||
| Alcohol consumption | ||||
| Model 1a | 1.00 | 0.12 (0.06, 0.24) p<0.001 | 0.44 (0.29, 0.66) p<0.001 | 0.60 (0.27, 1.32) p = 0.204 |
| Model 2b | 1.00 | 0.10 (0.05, 0.20) p<0.001 | 0.47 (0.31, 0.71) p<0.001 | 0.56 (0.25, 1.25) p = 0.156 |
| Model 3c | 1.00 | 0.10 (0.05, 0.20) p<0.001 | 0.46 (0.30, 0.70) p<0.001 | 0.55 (0.24, 1.23) p = 0.146 |
| Model 4d | 1.00 | 0.10 (0.05, 0.20) p<0.001 | 0.46 (0.30, 0.71) p<0.001 | 0.57 (0.25, 1.28) p = 0.171 |
| ICC for Model 1: 0.016 (0.011, 0.024) | ||||
| Smoking status | ||||
| Model 1a | 1.00 | 3.11 (2.35, 4.12) p<0.001 | 1.18 (0.78, 1.79) p = 0.429 | 1.13 (0.45, 2.84) p = 0.798 |
| Model 2b | 1.00 | 2.99 (2.25, 3.98) p<0.001 | 1.06 (0.70, 1.61) p = 0.792 | 1.13 (0.44, 2.85) p = 0.803 |
| Model 3c | 1.00 | 2.45 (1.83, 3.26) p<0.001 | 1.06 (0.70, 1.62) p = 0.775 | 1.25 (0.49, 3.20) p = 0.636 |
| Model 4d | 1.00 | 2.29 (1.72, 3.06) p<0.001 | 1.08 (0.71, 1.65) p = 0.706 | 1.32 (0.52, 3.37) p = 0.563 |
| ICC for Model 1: 0.037 (0.026, 0.052) | ||||
| Sleep duration | ||||
| Model 1a | 1.00 | 1.93 (1.54, 2.42) p<0.001 | 1.41 (1.10, 1.82) p = 0.008 | 1.11 (0.62, 1.98) p = 0.728 |
| Model 2b | 1.00 | 2.00 (1.59, 2.51) p<0.001 | 1.49 (1.15, 1.93) p = 0.002 | 1.13 (0.63, 2.03) p = 0.677 |
| Model 3c | 1.00 | 1.70 (1.35, 2.14) p<0.001 | 1.53 (1.19, 1.98) p = 0.001 | 1.22 (0.68, 2.20) p = 0.502 |
| Model 4d | 1.00 | 1.60 (1.27, 2.02) p<0.001 | 1.54 (1.19, 1.99) p = 0.001 | 1.21 (0.67, 2.18) p = 0.522 |
| ICC for Model 1: 0.008 (0.005, 0.013) | ||||
Note. Odds ratios with 95% Confidence Intervals
a Model 1: Unadjusted
b Model 2: Age and gender
c Model 3: Model 2 + educational qualifications, employment status, and marital status
d Model 4: Model 3 + Socio-Economic Index for Areas and Accessibility/Remoteness Index of Australia
ICC: Intra-class correlation coefficient