| Literature DB >> 36078751 |
Bojana Vidović1, Bojana Đuričić1, Marina Odalović2, Andrijana Milošević Georgiev2, Ivana Tadić2.
Abstract
The rising popularity of dietary supplements as a part of self-care practice increases interest in monitoring their usage in the general and specific population groups. This study investigated the prevalence and patterns of dietary supplement use among Belgrade University undergraduate students and its variations across different academic study fields. Of the 914 online survey students, 55.7% used dietary supplements during the past year. Female gender, eating behavior, and academic field were significant predictors of dietary supplement use. For all students, the most commonly used dietary supplements were vitamins and minerals, alone or in combination. Magnesium, vitamin C, and B vitamins were the most frequently supplemented micronutrients. The reasons for using, place of purchase, and source of information regarding dietary supplements significantly varied among students of different fields of study. Adverse effects related to dietary supplement use, including gastrointestinal symptoms, skin flushing, dizziness, and heart palpitation, were reported in 4.5% of students. Insufficient knowledge about these products was self-reported by 16.5% of users, more common among non-medical students. Thus, public health interventions are needed to improve students' knowledge regarding rational and safe dietary supplement use.Entities:
Keywords: dietary supplements; knowledge; prevalence; students; university
Mesh:
Substances:
Year: 2022 PMID: 36078751 PMCID: PMC9518540 DOI: 10.3390/ijerph191711036
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Sociodemographic, anthropometric, and lifestyle characteristics of students.
| Characteristics | Medical | Social Sciences and Humanities | Technology | Natural and Formal Sciences | All |
|---|---|---|---|---|---|
| N (% of all students) | 383 (41.9) | 174 (19.0) | 227 (24.9) | 130 (14.2) | 914 (100.0) |
| Gender * | |||||
| Female | 319 (83.3) | 136 (78.2) | 164 (72.3) | 104 (80.0) | 723 (79.1) |
| Male | 64 (16.7) | 38 (21.8) | 63 (27.8) | 26 (20.0) | 191 (20.9) |
| Year of study °,** | |||||
| 1st | 24 (6.4) | 22 (13.1) | 29 (13.2) | 20 (15.6) | 95 (10.6) |
| 2nd | 55 (14.6) | 33 (19.6) | 31 (14.1) | 27 (21.1) | 146 (16.4) |
| 3rd | 52 (13.8) | 39 (23.2) | 58 (26.4) | 30 (23.4) | 179 (20.1) |
| 4th | 94 (25.0) | 41 (24.4) | 68 (30.9) | 34 (26.6) | 237 (26.6) |
| 5th | 100 (26.6) | 28 (16.7) | 25 (11.4) | 14 (10.9) | 167 (18.7) |
| 6th | 51 (13.6) | 5 (2.9) | 9 (4.1) | 3 (2.3) | 68 (7.6) |
| BMI categories °,† | |||||
| Underweight | 26 (6.9) | 11 (6.6) | 21 (9.5) | 7 (5.5) | 65 (7.3) |
| Normal | 292 (77.7) | 124 (73.8) | 162 (73.3) | 96 (75.6) | 674 (75.6) |
| Overweight | 51 (13.6) | 27 (16.1) | 32 (14.5) | 18 (14.2) | 128 (14.3) |
| Obese | 7 (1.9) | 6 (3.6) | 6 (2.7) | 6 (4.7) | 25 (2.8) |
| Smoking status † | |||||
| Current smoker | 54 (14.1) | 32 (18.4) | 41 (18.1) | 20 (15.4) | 147 (16.1) |
| Occasional smoker | 41 (10.7) | 22 (12.6) | 24 (10.6) | 9 (6.9) | 96 (10.5) |
| Never smoker | 272 (71.0) | 109 (62.6) | 153 (67.4) | 96 (73.9) | 630 (68.9) |
| Ex-smoker | 16 (4.2) | 11 (6.3) | 9 (3.9) | 5 (3.9) | 41 (4.5) |
| Eating behavior † | |||||
| Regular meals | 276 (72.1) | 122 (70.1) | 160 (70.5) | 79 (60.8) | 637 (69.7) |
| Occasionally regular meals | 60 (15.7) | 29 (16.7) | 42 (18.5) | 30 (23.1) | 161 (17.6) |
| Irregular meals | 47 (12.3) | 23 (13.2) | 25 (11.0) | 21 (16.2) | 116 (12.7) |
| Dietary supplement use ** | |||||
| User | 261 (68.2) | 88 (50.6) | 116 (51.1) | 44 (33.9) | 509 (55.7) |
| Not user | 122 (31.9) | 86 (49.4) | 111 (48.9) | 86 (66.2) | 405 (44.3) |
n-number of students; BMI-body mass index; ° Data on the year of the study and BMI categories were missing for 22 students. * Statistically significant differences between students of different academic fields (p < 0.05). ** Statistically significant differences between students of different academic fields (p < 0.001). † No statistically significant differences in frequencies between students of different scientific fields (Chi-square test).
Reasons for using/not using dietary supplements among students #.
| Reason | Medical Sciences | Social Sciences | Technology | Natural and Formal Sciences | Dietary Supplement Users/Not Users (%) |
|---|---|---|---|---|---|
| For using * | |||||
| Prevention of nutrition deficiencies * | 99 (28.7) | 18 (15.8) | 34 (21.2) | 16 (27.1) | 167 (24.6) |
| Disease prevention | 39 (11.3) | 16 (14.0) | 19 (11.9) | 7 (11.9) | 81 (11.9) |
| General well-being | 200 (58.0) | 71 (62.3) | 99 (61.9) | 33 (55.9) | 403 (59.5) |
| Other | 7 (2.0) | 9 (7.9) | 8 (5.0) | 3 (5.1) | 27 (4.0) |
| For not using | |||||
| Do not believe they are necessary ** | 100 (73.0) | 57 (53.3) | 72 (55.0) | 69 (61.1) | 298 (61.1) |
| Not enough information on dietary supplements ** | 20 (14.6) | 26 (24.3) | 36 (27.5) | 25 (22.1) | 107 (21.9) |
| Do not believe they are safe | 14 (10.2) | 18 (16.8) | 18 (13.7) | 15 (13.3) | 65 (13.3) |
| They are too expensive | 3 (2.2) | 6 (5.6) | 5 (3.8) | 4 (3.5) | 18 (3.7) |
# multiple responses; * p < 0.05; ** p < 0.01.
Figure 1Most common purposes for the use of dietary supplements by students concerning different academic fields (% of students).
Logistic regression analysis of independent predictors of dietary supplement use.
| Characteristic | cOR (CI) | aOR (CI) |
|---|---|---|
| Gender | ||
| Male | Reference | Reference |
| Female | 1.77 (1.28–2.44) * | 1.50 (1.04–2.15) * |
| Academic field | ||
| Medical sciences | Reference | Reference |
| Social sciences and Humanities | 0.48 (0.33–0.69) ** | 0.50 (0.34–0.73) ** |
| Technology and Engineering sciences | 0.49 (0.35–0.69) ** | 0.52 (0.37–0.73) ** |
| Natural and Formal sciences | 0.24 (0.16–0.37) ** | 0.25 (0.16–0.38) ** |
| BMI | ||
| Normal | Reference | Reference |
| Underweight | 1.24 (0.73–2.09) | 1.18 (0.68–2.04) |
| Overweight | 0.60 (0.41–0.88) * | 0.69 (0.46–1.06) |
| Obese | 0.48 (0.21–1.09) | 0.77 (0.32–1.82) |
| Smoking | ||
| Non-smoker | Reference | Reference |
| Current smoker | 0.69 (0.48–0.98) * | 0.75 (0.51–1.11) |
| Occasional smoker | 1.06 (0.68–1.63) | 1.10 (0.69–1.75) |
| Ex-smoker | 1.07 (0.56–2.02) | 1.17 (0.60–2.29) |
| Eating behavior | ||
| Regular | Reference | Reference |
| Irregular meals | 0.64 (0.43–0.95) * | 0.64 (0.42–0.99) * |
| Occasionally regular meals | 0.60 (0.42–0.85) * | 0.64 (0.44–0.92) * |
Abbreviations: cOR—crude odds ratio; aOR—adjusted odds ratio; CI—confidence interval; BMI—body mass index; * p < 0.05; ** p < 0.001.
The most common types of dietary supplements, vitamins, and minerals used among students.
| Dietary | Medical Sciences | Social Sciences and | Technology and | Natural and | In Total |
|---|---|---|---|---|---|
| Types of dietary supplements † | |||||
| Vitamins | 148 (25.4) | 60 (28.6) | 80 (29.1) | 39 (30.9) | 327 (27.4) |
| Minerals | 115 (19.8) | 46 (21.9) | 65 (23.6) | 28 (22.2) | 254 (21.3) |
| Combination of vitamins | 134 (23.0) | 32 (15.2) | 41 (14.9) | 21 (16.7) | 228 (19.1) |
| Probiotics | 65 (11.2) | 15 (7.1) | 24 (8.7) | 12 (9.5) | 116 (9.7) |
| Proteins and Amino acids | 40 (6.7) | 21 (10.0) | 26 (9.5) | 9 (7.1) | 96 (8.1) |
| Fish oil supplements | 32 (5.5) | 14 (6.7) | 18 (6.6) | 9 (7.1) | 73 (6.1) |
| Herbal supplements | 40 (6.7) | 14 (6.7) | 11 (4.0) | 5 (3.9) | 70 (5.9) |
| Creatine | 8 (1.4) | 8 (3.8) | 10 (3.6) | 3 (2.4) | 29 (2.4) |
| Vitamins † | |||||
| A | 19 (4.2) | 4 (2.9) | 7 (3.3) | 2 (1.7) | 32 (3.4) |
| D | 33 (7.2) | 8 (5.7) | 15 (7.1) | 12 (10.0) | 68 (7.3) |
| E | 19 (4.2) | 7 (5.0) | 8 (3.8) | 3 (2.5) | 37 (3.9) |
| C | 139 (30.4) | 37 (26.4) | 63 (29.7) | 27 (22.5) | 266 (28.6) |
| B6 (Pyridoxine) | 21 (4.6) | 14 (10.0) | 10 (4.7) | 10 (8.3) | 55 (5.9) |
| B7 (Biotin) | 11 (2.4) | 0 (0.0) | 4 (1.9) | 4 (3.3) | 19 (2.1) |
| B9 (Folic acid) | 24 (5.3) | 2 (1.4) | 6 (2.8) | 8 (6.7) | 40 (4.3) |
| B12 (Cyanocobalamin) | 24 (5.3) | 12 (8.6) | 12 (5.7) | 8 (6.7) | 56 (6.0) |
| B complex | 92 (20.1) | 29 (20.7) | 47 (22.2) | 28 (23.3) | 196 (21.1) |
| Multivitamins | 71 (15.5) | 26 (18.6) | 40 (18.9) | 18 (15.0) | 155 (16.7) |
| Other | 4 (0.9) | 1 (0.7) | - | - | 5 (0.5) |
| Minerals † | |||||
| Magnesium | 143 (40.4) | 47 (46.1) | 67 (36.0) | 36 (36.7) | 293 (39.6) |
| Zinc | 86 (24.3) | 16 (15.7) | 39 (20.9) | 21 (21.4) | 162 (21.9) |
| Calcium | 32 (9.0) | 9 (8.8) | 21 (11.3) | 14 (14.3) | 76 (10.3) |
| Iron | 26 (7.3) | 13 (12.8) | 21 (11.3) | 12 (12.2) | 72 (9.7) |
| Selenium | 28 (7.9) | 5 (4.9) | 22 (11.8) | 9 (9.2) | 64 (8.7) |
| Chromium | 6 (1.7) | 0 (0.00) | 4 (2.2) | 2 (2.0) | 12 (1.6) |
| Minerals combination | 32 (9.0) | 12 (11.8) | 12 (6.5) | 3 (3.1) | 59 (7.9) |
| Other | 1 (0.3) | - | - | 1 (1.0) | 2 (0.3) |
† No statistically significant differences in frequencies among students of different academic fields (Chi-square test).
Practice and students’ knowledge related to dietary supplements use.
| Variables | Medical Sciences | Social Sciences | Engineering and Technology | Natural and Formal Sciences | Dietary |
|---|---|---|---|---|---|
| Number of dietary supplements | |||||
| 1 | 84 (32.2) | 30 (34.1) | 45 (38.8) | 11 (25.0) | 170 (33.4) |
| 2 | 92 (35.2) | 30 (34.1) | 28 (24.1) | 23 (52.3) | 173 (34.0) |
| 3 | 47 (18.0) | 12 (13.6) | 21 (18.1) | 4 (9.1) | 84 (16.5) |
| ≥4 | 38 (14.6) | 16 (18.2) | 22 (18.9) | 6 (13.6) | 82 (16.1) |
| Form of dietary supplements | |||||
| Tablets | 163 (37.6) | 49 (32.0) | 74 (33.9) | 25 (33.3) | 311 (35.4) |
| Effervescent tablets | 91 (21.0) | 26 (17.0) | 43 (19.7) | 19 (25.3) | 179 (20.4) |
| Capsules | 73 (16.9) | 29 (19.0) | 34 (15.6) | 12 (16.0) | 148 (16.8) |
| Powder | 90 (20.8) | 37 (24.2) | 54 (24.8) | 16 (21.3) | 197 (22.4) |
| Liquids | 12 (2.8) | 8 (5.2) | 8 (3.7) | 2 (2.7) | 30 (3.4) |
| Other | 4 (0.9) | 4 (2.6) | 5 (2.3) | 1 (1.3) | 14 (1.6) |
| Place of purchase *** | |||||
| Pharmacy | 247 (85.5) | 67 (63.8) | 99 (75.0) | 41 (80.4) | 454 (78.7) |
| Supermarket/grocery store | 22 (7.6) | 15 (14.3) | 11 (8.3) | 8 (15.7) | 56 (9.7) |
| Fitness center | 12 (4.2) | 9 (8.6) | 14 (10.6) | 2 (3.9) | 37 (6.4) |
| Other | 8 (2.7) | 14 (13.3) | 8 (6.1) | 0 (0) | 30 (5.2) |
| Source of recommendation | |||||
| Doctor | 88 (26.2) | 40 (31.7) | 43 (23.4) | 18 (28.6) | 189 (26.7) |
| Pharmacist ** | 108 (32.1) | 15 (11.9) | 38 (20.7) | 17 (26.9) | 178 (25.1) |
| Nutritionist | 13 (3.9) | 2 (1.6) | 8 (4.3) | 3 (4.8) | 26 (3.7) |
| Fitness trainer | 22 (6.5) | 11 (8.7) | 17 (9.2) | 3 (4.8) | 53 (7.5) |
| Friend *** | 38 (11.3) | 30 (23.8) | 33 (17.9) | 16 (25.4) | 117 (16.5) |
| Media, Internet ** | 42 (12.5) | 23 (18.3) | 36 (19.6) | 5 (7.9) | 106 (14.9) |
| Other | 25 (7.4) | 5 (4.0) | 9 (4.9) | 1 (1.6) | 40 (5.6) |
| Use during a season | |||||
| Spring | 221 (45.9) | 79 (47.3) | 93 (42.9) | 29 (40.2) | 422 (45.0) |
| Summer | 18 (3.7) | 12 (7.2) | 17 (7.8) | 3 (4.2) | 50 (5.3) |
| Autumn | 46 (9.5) | 15 (9.0) | 37 (17.0) | 8 (11.1) | 106 (11.3) |
| Winter | 197 (40.9) | 61 (36.5) | 70 (32.3) | 32 (44.4) | 360 (38.4) |
| Self-reported knowledge on | |||||
| Very good | 49 (22.7) | 9 (10.2) | 18 (15.5) | 8 (18.2) | 84 (16.5) |
| Good | 113 (43.3) | 25 (28.4) | 36 (31.0) | 5 (11.4) | 179 (35.2) |
| Enough | 73 (27.9) | 32 (36.4) | 37 (31.9) | 20 (45.5) | 162 (31.8) |
| Not enough | 26 (9.9) | 22 (25.0) | 25 (21.6) | 11 (25.0) | 84 (16.5) |
| Beneficial effects | |||||
| Always | 86 (32.9) | 29 (32.9) | 38 (32.8) | 16 (36.4) | 169 (33.2) |
| Sometimes | 125 (47.9) | 41 (46.6) | 52 (44.8) | 18 (40.9) | 235 (46.2) |
| Never | 3 (1.1) | 0 (0) | 2 (1.72) | 1 (2.3) | 6 (1.8) |
| Unknown | 47 (18.0) | 18 (20.5) | 24 (20.7) | 9 (20.5) | 44 (18.6) |
| Experience of side effects | |||||
| Yes | 12 (4.6) | 4 (4.5) | 5 (4.3) | 2 (4.5) | 23 (4.5) |
| No | 249 (95.4) | 84 (95.5) | 111 (95.7) | 42 (95.5) | 486 (95.5) |
** p < 0.01; *** p < 0.001.