Table 3.
Variables | Total | BMI |
Obesity |
p-value | ||
---|---|---|---|---|---|---|
Normal |
Overweight |
Obese |
aOR(95%CI) | |||
N = 241 | N = 186 | N = 100 | ||||
Smoking History | ||||||
Current smoker | 10 | 5(2.1%) | 3(1.6%) | 2(2.0%) | 0.94(0.18 to 4.98) | 0.983 |
Former smoker | 65 | 25(10.4%) | 31(16.7%) | 9(9.0%) | 0.85(0.38 to 1.90) | 0.843 |
Non-smokers | 452 | 211(87.5%) | 152(81.7%) | 89(89.0%) | 1.0 | |
Alcoholic intake | ||||||
Current intake | 266 | 128(53.1%) | 90(48.4%) | 48(48.0%) | 0.71(0.43 to 1.18) | 0.198 |
Former intake | 65 | 35(14.5%) | 19(10.2%) | 11(11.0%) | 0.60(0.27 to 1.29) | 0.262 |
No | 196 | 78 (32.4%) | 77(41.4%) | 41(41.0%) | 1.0 | |
Regular Exercise | ||||||
Yes | 131 | 42(17.4%) | 72(38.7%) | 17(17.0%) | 1.0 | |
No | 396 | 199(82.6%) | 114(61.3%) | 83(83.0%) | 1.01(0.55 to 1.91) | 0.6181 |
Sleep inhibitors usage | ||||||
current user | 85 | 37(15.4%) | 18(9.7%) | 30(30.0%) | 2.41(1.38 to 4.19) | 0.0025 |
former user | 10 | 5(2.1%) | 2(1.1%) | 3(3.0%) | 1.78(0.41 to 7.66) | 0.4252 |
No | 432 | 199(82.6%) | 166(89.2%) | 67(67.0%) | 1.0 | |
High calorie intake | ||||||
Yes | 481 | 216(89.6%) | 178(95.7%) | 87987.0%) | 0.77(0.37 to 1.58) | 0.5708 |
No | 46 | 25(10.4%) | 8(4.3%) | 13(13.0%) | 1.0 | |
Ate whilst driving | ||||||
Yes | 431 | 171(70.9%) | 176(94.6%) | 84(84.0%) | 2.15(1.17 to 3.93) | 0.0134 |
No | 96 | 70(29.1%) | 10(5.4%) | 16(16.0%) | 1.0 | |
Ate under stressful conditions | ||||||
Yes | 298 | 143(59.3%) | 89(45.4%) | 66(66.0%) | 1.33(0.81 to 2.16) | 0.2732 |
No | 229 | 98(40.7%) | 97(54.6%) | 34(34.0%) | 1.0 | |
Ate at late-night hours | ||||||
Yes | 215 | 115(47.8%) | 39(21.0%) | 61(61.0%) | 1.71(1.07 to 2.76) | 0.0320 |
No | 312 | 126(52.3%) | 147(79.0%) | 39(39.0%) | 1.0 |
Values are presented as frequency (percentage). p < 0.05 was considered as statistically significant level. aOR: adjusted odds ratio; CI: Confidence interval. Logistic regression was adjusted for age, ethnicity and family history of obesity. 1: reference category.