| Literature DB >> 35209960 |
Christine Sundgot-Borgen1,2, Therese Fostervold Mathisen3, Monica Klungland Torstveit4, Jorunn Sundgot-Borgen5.
Abstract
BACKGROUND: Use of dietary supplements (DS) and muscle enhancing dietary supplements (MEDS) is frequent among students despite the lack of evidence of effects and health risks related to consumption. We need to increase our understanding of students' motivation, examine potential gender differences, and explore explanatory factors, to address preventive measures related to use. Therefore, this study aimed to explore the frequency of, and the reasons for, DS use among university students, as well as explanatory factors for use of MEDS.Entities:
Keywords: Body idealization; Dietary supplements; Exercise science; Internalization; Muscle enhancing supplements; Students
Year: 2022 PMID: 35209960 PMCID: PMC8867755 DOI: 10.1186/s40795-022-00510-1
Source DB: PubMed Journal: BMC Nutr ISSN: 2055-0928
Participant characteristics presented as means (M) and standard deviation (sd) or total numbers (%)
| M (sd) | M (sd) | |||||
|---|---|---|---|---|---|---|
| Age | 335 | 24.60 (4.83) | 666 | 24.02 (4.71) | .068 | |
| BMI (kg × m2) | 334 | 24.55 (3.31) | 661 | 24.00 (4.32) | 0.14 | |
| Immigration status | 334 | 32 (9.6%) | 666 | 63 (9.5%) | .951 | |
| Study program | ||||||
| Exercise science | 333 | 220 (66.1%) | 660 | 297 (45.0%) | | 0.20 |
| Other sciences | 333 | 113 (33.9%) | 660 | 363 (55.0%) | | 0.20 |
| PA, h/wk | 307 | 9.18 (6.03) | 588 | 7.19 (5.83) | | 0.34 |
| Exercise sessions/wk | 307 | 6.00 (2.80) | 589 | 5.23 (2.59) | | 0.29 |
| Organized sports members | 307 | 137 (44.6%) | 587 | 185 (31.5%) | | 0.13 |
| Fitness center members | 307 | 217 (70.7%) | 587 | 438 (74.6%) | .207 | |
| 311 | 3.12 (0.96) | 599 | 3.06 (0.92) | - | ||
| 311 | 2.25 (0.98) | 599 | 4.08 (0.61) | - | ||
| 311 | 3.41 (0.96) | 599 | 2.87 (1.03) | - | ||
Age: years of age. BMI: body mass index (kg/m2). SATAQ-4R: Social attitudes towards appearance questionnaire-4 revised. *SATAQ-4R includes male and female specific items, and gender differences are therefore not evaluated. PA h/wk: physical activity hours per week. Immigration status: the student and/or both parents have immigrated. A p-value of ≤0.05 is set as statistically significant when comparing two groups. g: Hedges’ g represents the effect size for numerical data and φ: Phi-coefficient represents effect size for categorical data and are only presented where there is a significant group difference
Frequency of dietary supplement use among students shown as total number (N) and percentage (%)
| DS | 130 (42.3%) | 232 (39.5%) | .414 | |
| Vitamins and/or minerals | 79 (23.6%) | 194 (29.1%) | .063 | |
| MEDS | 82 (24.5%) | 68 (10.2%) | (0.19) | |
| Protein supplements | 64 (19.1%) | 60 (9.0%) | (0.15) | |
| Creatin | 50 (15%) | 16 (2.4%) | (0.24) | |
| Amino acids | 10 (3%) | 9 (1.4%) | .074 | |
| Sports productsa | 47 (14.0%) | 51 (7.7%) | (0.10) | |
| Dieting aids | 4 (1.2%) | 8 (1.2%) | *** | |
| Herbal products | 6 (1.8%) | 8 (1.2%) | *** | |
| Illegal supplementsb | 1 (0.3%) | 2 (0.3%) | *** |
DS dietary supplements; MEDS muscle enhancing dietary supplements. aStudents were asked about their use of sports product beyond protein and creatine supplementation (e.g. sports drinks, pre-workout, energy boosters, bars). bAmong different suggested illegal supplements that students could report use of, one male student reported use of growth hormones, while of the two female students reporting use of illegal supplements, central stimuli (n = 2), fat burners that were considered illegal (n = 1), sedatives (n = 1), and narcotics (n = 1), were reported. A p-value of ≤ 0.05 is set as statistically significant when comparing two groups. φ: Phi-coefficient is only presented where there is a significant group difference. *** group difference has not been investigated due to small sample size
Fig. 1Differences in self-reported reasons for dietary supplement use between male and female university students
Logistic regression presenting likelihood of using muscle enhancing dietary supplements in male university students
| Lower | Upper | |||||||
|---|---|---|---|---|---|---|---|---|
| Physical activity h/w | 0.08 | 0.03 | 6.08 | 1 | 1.09 | 1.02 | 1.16 | |
| Exercise sessions/w | 0.03 | 0.08 | 0.11 | 1 | .738 | 1.03 | 0.88 | 1.20 |
| Exercise to increase muscle mass | 0.68 | 0.26 | 6.69 | 1 | 1.96 | 1.18 | 3.27 | |
| Exercise to improve strength | 0.38 | 0.32 | 1.44 | 1 | .231 | 1.47 | 0.78 | 2.74 |
| Exercise to enhance endurance | -0.71 | 0.21 | 12.05 | 1 | 0.49 | 0.33 | 0.73 | |
| Exercise to change body shape | 0.12 | 0.17 | 1.41 | 1 | .235 | 1.22 | 0.88 | 1.69 |
| SATAQ Athletic | 0.13 | 0.24 | 0.29 | 1 | .588 | 1.14 | 0.71 | 1.84 |
| Study programa | -0.76 | 0.35 | 4.58 | 1 | 0.47 | 0.24 | 0.94 | |
| Fitness center member | 1.34 | 0.50 | 7.19 | 1 | 3.81 | 1.43 | 10.14 | |
| Participating in organized sport | 0.39 | 0.38 | 1.02 | 1 | .313 | 1.47 | 0.70 | 3.11 |
| Constant | -5.541 | 1.430 | 15.019 | 1 | .000 | 0.00 | ||
h/w hours per week. aBeing an exercise science student or not. OR above 1 represents a positive correlation, while < 1 represents a negative correlation between dependent and independent variable
Logistic regression presenting likelihood of using muscle enhancing dietary supplements in female university students
| Lower | Upper | |||||||
|---|---|---|---|---|---|---|---|---|
| Exercise sessions per week | 0.06 | 0.06 | 0.91 | 1 | .339 | 1.06 | 0.94 | 1.18 |
| Exercise to increase muscle mass | 0.55 | 0.26 | 4.40 | 1 | 1.74 | 1.04 | 2.91 | |
| Exercise to improve strength | 0.08 | 0.32 | 0.07 | 1 | .795 | 1.09 | 0.58 | 2.07 |
| Exercise to change body shape | 0.11 | 0.12 | 0.82 | 1 | .364 | 1.11 | 0.88 | 1.40 |
| SATAQ Athletic | 0.58 | 0.20 | 8.19 | 1 | 1.78 | 1.20 | 2.64 | |
| Fitness center member | 0.10 | 0.39 | 0.06 | 1 | .801 | 1.10 | 0.52 | 2.35 |
| Study programa | -0.13 | 0.30 | 0.20 | 1 | .656 | 0.88 | 0.49 | 1.57 |
| Constant | -7.39 | 1.31 | 31.69 | 1 | .000 | 0.00 | ||
aBeing an exercise science student or not. OR above 1 represents a positive correlation, while < 1 represents a negative correlation between dependent and independent variable