| Literature DB >> 19077317 |
Andrea Petróczi1, Declan P Naughton, Gemma Pearce, Richard Bailey, Andrew Bloodworth, Michael McNamee.
Abstract
BACKGROUND: The objective was to study nutritional supplement use among young elite UK athletes to establish whether a rationale versus practice incongruence exists, and to investigate the sources of information. Survey data were analysed for association between supplements used and motives for using such substances among young athletes along with the sources of advice and literature precedents on supplement effects.Entities:
Year: 2008 PMID: 19077317 PMCID: PMC2654424 DOI: 10.1186/1550-2783-5-22
Source DB: PubMed Journal: J Int Soc Sports Nutr ISSN: 1550-2783 Impact factor: 5.150
Summary of pairwise associations between health maintenance reasons for use and type of supplements used.
| χ2 = 3.684 | χ2 = .060 | χ2 = 21.763 | |||
| ϕ = .096 | ϕ = .012 | NA | NA | ϕ = .233 | |
| (.055) | (.806) | ||||
| χ2 = .726 | NA | ||||
| ϕ = .042 | NA | NA | NA | ||
| (.394) | |||||
| χ2 = 4.417 | χ2 = .021 | χ2 = .261 | |||
| ϕ = .105 | ϕ = .007 | NA | ϕ = .015 | NA | |
| (.036) | (.886) | (.610) | |||
| NA | χ2 = .568 | ||||
| ϕ = .038 | NA | NA | NA | ||
| (.451) | |||||
| χ2 = 0.593 | χ2 = 17.866 | ||||
| ϕ = -.038 | NA | ϕ = .211 | NA | NA | |
| (.441) | (< .001) | ||||
| χ2 = 1.957 | |||||
| NA | ϕ = .038 | NA | NA | NA | |
| (.162) | |||||
| χ2 = 3.255 | |||||
| NA | NA | ϕ = .090 | NA | NA | |
| (.071) | |||||
| χ2 = 1.995 | |||||
| NA | ϕ = -.070 | NA | NA | NA | |
| (.158) | |||||
| χ2 = 4.765 | χ2 = .137 | ||||
| NA | ϕ = -.109 | ϕ = -.018 | NA | NA | |
| (.029) | (.711) |
a melatonin excluded from the analysis owing to insufficient data (n = 4)
b expected association from anecdotal effect.
Each cell displays the χ2 coefficient, ϕ and the corresponding p-values in parentheses (NA = no association expected).
Strength of pairwise associations between performance enhancing reasons to use and type of supplements used.
| χ2 = 6.430 | |||
| NA | NA | ϕ = .126 | |
| (.011) | |||
| χ2 = 5.275 | |||
| NA | ϕ = .115 | NA | |
| (.022) | |||
| χ2 = 4.518 | |||
| NA | NA | ϕ = .106 | |
| (.034) | |||
| NA | |||
| χ2 = 11.170 | χ2 = 2.536 | ||
| NA | ϕ = 0.167 | ϕ = .079 | |
| (.001) | (.111) | ||
| NA | NA | ||
| NA | |||
a melatonin excluded from the analysis owing to insufficient data (n = 4); performance enhancing effect is not expected for multivitamin and echinacea
b expected association from anecdotal effect.
Figure 1Supplement use reported by young (age 12–21) elite athletes; n = 403 (all athletes) and n = 194 (supplement users); each equates to 100%.
Figure 2Reasons for supplement use reported by young (age 12–21) elite athletes; n = 403 (all athletes) and n = 194 (supplement users) each equates to 100%.
Relative percentage of congruent answers by rationale for supplement use and supplement used by athletes.
| 68 | 48.6% | 18 | 6.9% | ||||||
| 72 | 51.4% | 244 | 93.1% | ||||||
| 140 | 100.0% | 262 | 100.0% | ||||||
| 48 | 34.3% | 6 | 2.3% | ||||||
| 92 | 65.7% | 256 | 97.7% | ||||||
| 140 | 100.0% | 262 | 100.0% | ||||||
| 74 | 69.2% | 94 | 31.9% | ||||||
| 33 | 30.8% | 201 | 68.1% | ||||||
| 107 | 100.0% | 295 | 100.0% | ||||||
Figure 3Source of information regarding the supplements reported, expressed as ratio between the number of sources and incidents reported.
Figure 4Source of advice selected for taking creatine (54), energy drinks (168) and whey protein (86) among supplement user young athletes (n = 194).