Table 2.
Knowledge level related to dietary supplements among study participants with different demographic characteristics.
| Demographic characteristics | Knowledge level | χ2/t | p- value | ||
|---|---|---|---|---|---|
| Low | Middle | High | |||
| Sample size | 355 (20.7) | 861 (50.2) | 498 (29.1) | ||
| Geographic area | 8.763 | 0.067 | |||
| North | 123 (17.6) | 353 (50.6) | 222 (31.8) | ||
| Middle | 139 (22.7) | 304 (49.6) | 170 (27.7) | ||
| South | 93 (23.1) | 204 (50.6) | 106 (26.3) | ||
| Birth date | 2.207 | 0.974 | |||
| 1960s | 21 (17.2) | 66 (54.1) | 35 (28.7) | ||
| 1970s | 46 (20.0) | 117 (50.9) | 67 (29.1) | ||
| 1980s | 75 (20.8) | 184 (51.1) | 101 (28.1) | ||
| 1990s | 97 (20.6) | 238 (50.4) | 137 (29.0) | ||
| 2000s | 116 (21.9) | 256 (48.3) | 158 (29.8) | ||
| Educational background | 8.174 | 0.226 | |||
| High school or below | 37 (21.0) | 90 (51.1) | 49 (27.8) | ||
| Associate degree | 115 (21.5) | 289 (51.6) | 156 (27.9) | ||
| Bachelor’s degree | 190 (22.0) | 418 (48.4) | 255 (29.6) | ||
| Master’s degree and above | 13 (11.3) | 64 (55.7) | 38 (33.0) | ||
| Occupation | 1.569 | 0.814 | |||
| Non-medical-related | 236 (19.9) | 603 (50.9) | 346 (29.2) | ||
| Medical marketing | 78 (22.4) | 169 (48.6) | 101 (29.0) | ||
| Medical research/teaching | 41 (22.7) | 89 (49.2) | 51 (28.2) | ||
| Yearly income (k) | 8.791 | 0.552 | |||
| <100 k | 123 (19.8) | 309 (49.7) | 190 (30.6) | ||
| 100-200 k | 74 (19.4) | 196 (51.4) | 111 (29.1) | ||
| >200-300 k | 40 (23.5) | 77 (45.3) | 53 (31.2) | ||
| >300-400 k | 19 (18.5) | 55 (53.4) | 29 (28.2) | ||
| >400-500 k | 22 (22.2) | 44 (44.4) | 33 (33.3) | ||
| >500 k | 77 (22.7) | 180 (53.1) | 82 (24.2) | ||
| Exercise habit | 12.225 | 0.016 | |||
| No | 104 (21.4) | 261 (53.6) | 122 (25.1) | ||
| Occasionally | 103 (19.1) | 251 (26.5) | 186 (34.4) | ||
| Yes | 148 (21.5) | 349 (50.8) | 190 (27.7) | ||
| Health self-efficacy | 0.257 | 0.880 | |||
| Low | 74 (20.0) | 186 (50.1) | 111 (29.9) | ||
| High | 281 (20.9) | 675 (50.3) | 387 (28.8) | ||