Evidence map›Paper›PMID 34819149›Full record

ArticleBMC sports science, medicine & rehabilitation2021

Bodybuilding, dietary supplements and hormones use: behaviour and determinant analysis in young bodybuilders.

Paolo Montuori, Ilaria Loperto, Carmine Paolo, Davide Castrianni, Raffaele Nubi, Elvira De Rosa, Raffaele Palladino, Maria Triassi

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Poisoning with Thyroid Hormones Used Illegally-Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. The Use of Anabolic Steroids by Bodybuilders in the State of Sergipe, Brazil.European journal of investigation in health, psychology and education · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Premature Death in Bodybuilders: What Do We Know?Sports medicine (Auckland, N.Z.) · 2023
    Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Paolo Montuori *Department of Public Health, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
Ilaria Loperto *Department of Public Health, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy. ilaria.loperto@gmail.com.
Carmine PaoloDepartment of Public Health, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
Davide CastrianniDepartment of Public Health, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
Raffaele NubiDepartment of Public Health, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
Elvira De RosaDepartment of Public Health, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
Raffaele PalladinoDepartment of Public Health, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
Maria TriassiDepartment of Public Health, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong athletes, bodybuilders are more predisposed to the use of dietary supplements (DS) and hormones (H) to increase in adaptations to physical training and performance. The purpose of the study was to identify social, psychological, and organisational factors that are associated with the use of food supplements and hormones in young bodybuilders of the metropolitan area of Naples.

methods107 athletes, practicing bodybuilding, were consecutively recruited in 30 gyms, randomly selected in the metropolitan area of Naples. Athletes were administered an anonymous questionnaire. The questionnaire consists of 5 sections (socio-demographic, frequency and reasons for bodybuilding, knowledge, attitudes and behaviours). Descriptive statistics were performed using T-test and Chi-square statistics. A score was created for knowledge, attitudes, behaviours. Multivariable logistic regression models were employed to assess association between each score and the use of DS and H. Statistical analyses were carried out using STATA 15.

results81.31% of the subjects reported to use DS while 35.51% H. Females are less likely to practise bodybuilding frequently than males (OR 0.18 (95% CI 0.05-0.69), p = 0.01). Subjects who have attended high school or university have a lower probability of taking DS (OR 0.17 (95% CI 0.04-0.65), p = 0.01). H users also use supplements more frequently (OR 61.21 (95% CI 3.99-939.31), p < 0.001). Those who scored higher on knowledge scores are more likely to take DS (OR 1.53 (95% CI 1.11-2.12), p < 0.001). Attitudes are correlated with the use of DS; those who scored higher were less likely to use DS (OR 0.77 (95% CI 0.30-0.98), p = 0.03). People who use DS are 30 times more likely to use H at the same time (OR 30.25 (95% CI 2.51-365.24), p < 0.001). Subjects who have a higher score for knowledge and attitudes are less likely to use H (OR 0.68 (95% CI 0.54-0.87), p < 0.001, OR 0.75 (95% CI 0.62-0.90), p < 0.001).

conclusionsPrevalence of H and DS' use, although lower than reported in the literature, is a worrying public health problem. Better knowledge can lead to an informed use. Gym instructors should be trained to provide accurate and scientifically sound information. Health professionals should combine their expertise to provide more comprehensive guidance to the exercisers.

Indexed as

AthletesBodybuildingDietDietary supplementsGyms

Identifiers

PMID34819149
PMCPMC8613966

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.