| Literature DB >> 17997853 |
Andrea Petróczi1, Declan P Naughton, Jason Mazanov, Allison Holloway, Jerry Bingham.
Abstract
BACKGROUND: Athletes are expected to consider multiple factors when making informed decision about nutritional supplement use. Besides rules, regulations and potential health hazards, the efficacy of different nutritional supplements in performance enhancement is a key issue. The aim of this paper was to find evidence for informed decision making by investigating the relationship between specific performance-related reasons for supplement use and the reported use of nutritional supplements.Entities:
Year: 2007 PMID: 17997853 PMCID: PMC2214727 DOI: 10.1186/1550-2783-4-19
Source DB: PubMed Journal: J Int Soc Sports Nutr ISSN: 1550-2783 Impact factor: 5.150
Figure 1Supplements used and performance-related reasons for use by respondents who take supplements (n = 520), expressed as percentage of the sample. Respondents could select more than one reason or supplement thus the accumulated % exceeds 100%.
Summary of pairwise associations between reason for use and type of supplements used (all athletes who use supplements n = 520)
| 97.076 (< .001) | NA | 49.140 (< .001) | NA | |
| NA | 0.230 (.632) | NA | 35.004 (<.001) | |
| NA | NA | 4.062a (.044) | NA | |
| 97.823 (.001) | NA | 31.180 (.001) | NA | |
| NA | 38.761 (.001) | 25.192 (.001) | NA | |
| NA | NA | 1.577 (.209) | 0.005 (.944) |
a expected association from anecdotal effect. Each cell displays the χ2 coefficient and the corresponding p-values in parentheses (NA = no association expected).
Summary of strength of pairwise associations between reason to use and type of supplements used (all athletes who use supplements n = 520).
| .432 (< .001) | NA | .307 (< .001) | NA | |
| NA | .021(.632) | NA | .259 (< .001) | |
| NA | NA | .088a (.044) | NA | |
| .434 (< .001) | NA | .245 (< .001) | NA | |
| .273 (< .001) | .220 (< .001) | NA | ||
| NA | NA | .055 (.209) | .003 (.944) |
a expected association from anecdotal effect. Each cell displays the ϕ coefficient and the corresponding p-values in parentheses (NA = no association expected).
Relative percentage of congruent answers by 'maintaining strength' and 'enhancing endurance' as rationales for supplement use and supplement used by all athletes who reported the use of nutritional supplements (n = 520)
| 124 | 62.6% | 64 | 19.9% | ||||||
| 74 | 37.4% | 258 | 80.1% | ||||||
| 198 | 100.0% | 322 | 100.0% | ||||||
| 33 | 31.7% | 122 | 29.3% | ||||||
| 71 | 68.3% | 294 | 70.7% | ||||||
| 104 | 100.0% | 416 | 100.0% | ||||||
| 111 | 56.1% | 48 | 14.9% | ||||||
| 87 | 43.9% | 274 | 85.1% | ||||||
| 198 | 100.0% | 322 | 100.0% | ||||||
| 49 | 47.1% | 75 | 18.0% | ||||||
| 55 | 52.9% | 341 | 82.0% | ||||||
| 104 | 100.0% | 416 | 100.0% | ||||||
Relative percentage of congruent answers by 'ability to train longer' and 'doctors' advice' as rationale for supplement use and supplement used by all athletes who reported the use of nutritional supplements (n = 520)
| 51 | 73.9% | 137 | 30.4% | ||||||
| 18 | 26.1% | 314 | 69.6% | ||||||
| 69 | 100.0% | 451 | 100.0% | ||||||
| 64 | 50.8% | 91 | 23.1% | ||||||
| 62 | 49.2% | 303 | 76.9% | ||||||
| 126 | 100.0% | 394 | 100.0% | ||||||
| 10 | 14.5% | 33 | 7.3% | ||||||
| 59 | 85.5% | 418 | 92.7% | ||||||
| 69a | 100.0% | 451a | 100.0% | ||||||
| 41 | 59.4% | 118 | 26.2% | ||||||
| 28 | 40.6% | 333 | 73.8% | ||||||
| 69 | 100.0% | 451 | 100.0% | ||||||
| 33 | 47.8% | 91 | 20.2% | ||||||
| 36 | 52.2% | 360 | 79.8% | ||||||
| 69 | 100.0% | 451 | 100.0% | ||||||
| 53 | 76.8% | 313 | 69.4% | 89 | 70.6% | 277 | 70.3% | ||
| 16 | 23.2% | 138 | 30.6% | 37 | 29.4% | 117 | 29.7% | ||
| 69 | 100.0% | 451 | 100.0% | 126 | 100.0% | 394 | 100.0% | ||
a expected association from anecdotal effect.
Figure 2Strength of associations (expressed as phi coefficients) for the selected 9 pairs. Strength of associations are categorized as strong (ϕ > .7), intermediate (.7 < ϕ > .3) and weak (ϕ < .3).