Table 4.
Results of the binary logistic regression.
| Number of Cases | Characteristics of the Respondent (Independent Variable) | Level of Attribute | Would Buy Functional Food to Avoid the Specified Disease (Dependent Variable) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| B | SE | Wald | Sig. | Exp(B) | 95% CI for EXP (B) | ||||
| Lower | Upper | ||||||||
| High cholesterol level | |||||||||
| 289 | Constant | −0.752 | 0.189 | 15.773 | 0.000 | 0.471 | |||
| Age | 36–50 | 0.919 | 0.346 | 7.056 | 0.008 | 2.508 | 1.273 | 4.942 | |
| Cancer-related diseases | |||||||||
| 498 | Constant | −0.745 | 0.371 | 4.024 | 0.045 | 0.475 | |||
| Gender | Men | −0.469 | 0.208 | 5.108 | 0.024 | 0.626 | 0.416 | 0.940 | |
| Level of education | College/university | 0.992 | 0.356 | 7.749 | 0.005 | 2.697 | 1.341 | 5.423 | |
| Grocery shopper | Another person | −0.862 | 0.296 | 8.498 | 0.004 | 0.422 | 0.236 | 0.754 | |
| Skin diseases | |||||||||
| 293 | Constant | −0.455 | 0.251 | 3.301 | 0.069 | 0.634 | |||
| Grocery shopper | Another person | −0.743 | 0.362 | 4.205 | 0.040 | 0.476 | 0.234 | 0.968 | |
| Shared | −0.797 | 0.321 | 6.170 | 0.013 | 0.451 | 0.240 | 0.845 | ||
| Memory lapse/concentration problems | |||||||||
| 284 | Constant | −1.871 | 0.483 | 15.006 | 0.000 | 0.154 | |||
| Age | 25–35 | 0.875 | 0.359 | 5.933 | 0.015 | 2.399 | 1.186 | 4.852 | |
| Level of education | College/university | 1.004 | 0.494 | 4.132 | 0.042 | 2.728 | 1.037 | 7.181 | |
| Digestion problems | |||||||||
| 291 | Constant | −1.103 | 0.396 | 7.758 | 0.005 | 0.332 | |||
| Age | 36–50 | 1.055 | 0.362 | 8.478 | 0.004 | 2.872 | 1.412 | 5.844 | |
| 50+ | 0.940 | 0.332 | 8.013 | 0.005 | 2.559 | 1.335 | 4.906 | ||
| Migraine | |||||||||
| 224 | Constant | −0.927 | 0.197 | 22.183 | 0.000 | 0.396 | |||
| Gender | Men | −1.129 | 0.376 | 9.022 | 0.003 | 0.323 | 0.155 | 0.675 | |
| Diabetes | |||||||||
| 375 | Constant | −1.247 | 0.240 | 26.923 | 0.000 | 0.287 | |||
| Age | 36–50 | 0.997 | 0.330 | 9.121 | 0.003 | 2.710 | 1.419 | 5.177 | |
| Place of living | Another city | 0.509 | 0.252 | 4.074 | 0.044 | 1.664 | 1.015 | 2.729 | |
| Village | 0.984 | 0.357 | 7.588 | 0.006 | 2.674 | 1.328 | 5.385 | ||
| Joint diseases | |||||||||
| 329 | Constant | 0.118 | 0.402 | 0.086 | 0.770 | 1.125 | |||
| Level of education | Secondary technical school/secondary school diploma | −0.981 | 0.408 | 5.783 | 0.016 | 0.375 | 0.168 | 0.834 | |
| Grocery shopper | Another person | −0.956 | 0.379 | 6.351 | 0.012 | 0.384 | 0.183 | 0.809 | |
| Osteoporosis | |||||||||
| 333 | Constant | −1.495 | 0.345 | 18.827 | 0.000 | 0.224 | |||
| Gender | Men | −0.518 | 0.254 | 4.161 | 0.041 | 0.596 | 0.362 | 0.980 | |
| Age | 36–50 | 1.087 | 0.347 | 9.816 | 0.002 | 2.966 | 1.502 | 5.856 | |
| I pay attention to healthy eating | Important | 0.875 | 0.345 | 18.827 | 0.012 | 2.398 | 1.209 | 4.758 | |
| Weakened immune system | |||||||||
| 431 | Constant | −1.881 | 0.439 | 18.325 | 0.000 | 0.152 | |||
| Gender | Men | −0.472 | 0.213 | 4.925 | 0.026 | 0.624 | 0.411 | 0.946 | |
| Age | 36–50 | 0.938 | 0.314 | 8.916 | 0.003 | 2.554 | 1.380 | 4.727 | |
| Level of education | College/university | 1.355 | 0.381 | 12.656 | 0.000 | 3.875 | 1.837 | 8.174 | |
| I pay attention to healthy eating | Important | 0.616 | 0.266 | 5.358 | 0.021 | 1.852 | 1.099 | 3.121 | |