Evidence map›Paper›PMID 34561723›Full record

ArticleArchives of osteoporosis2021

Associations between nutrition, energy expenditure and energy availability with bone mass acquisition in dance students: a 3-year longitudinal study.

Tânia Amorim, Laura Freitas, George S Metsios, Thayse Natacha Gomes, Matthew Wyon, Andreas D Flouris, José Maia, Franklim Marques, Luísa Nogueira, Nuno Adubeiro and 1 more

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In one paragraph

Article in Archives of osteoporosis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

11 authors at 4 institutions in 3 countries.

Tânia AmorimThe Faculty of Education, Health and Wellbeing, University of Wolverhampton, Gorway Rd, Walsall, Wolverhampton, WS1 3BE, UK. tania_amorim@hotmail.com.
Laura FreitasResearch Centre for Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Porto, Portugal.
George S MetsiosThe Faculty of Education, Health and Wellbeing, University of Wolverhampton, Gorway Rd, Walsall, Wolverhampton, WS1 3BE, UK.
Thayse Natacha GomesCentre of Research, Education, Innovation and Intervention in Sport, Faculty of Sport, University of Porto, Porto, Portugal.
Matthew WyonThe Faculty of Education, Health and Wellbeing, University of Wolverhampton, Gorway Rd, Walsall, Wolverhampton, WS1 3BE, UK.
Andreas D FlourisFAME Laboratory, Department of Exercise Science, University of Thessaly, Trikala, Greece.
José MaiaCentre of Research, Education, Innovation and Intervention in Sport, Faculty of Sport, University of Porto, Porto, Portugal.
Franklim MarquesUCIBIO/REQUIMTE, Faculty of Pharmacy, University of Porto, Porto, Portugal.
Luísa NogueiraSchool of Health Technology of Porto, Polytechnic Institute of Porto, Porto, Portugal.
Nuno AdubeiroSchool of Health Technology of Porto, Polytechnic Institute of Porto, Porto, Portugal.
Yiannis KoutedakisThe Faculty of Education, Health and Wellbeing, University of Wolverhampton, Gorway Rd, Walsall, Wolverhampton, WS1 3BE, UK.
Universidade do Porto · PTUniversity of Thessaly · GRPolytechnic Institute of Porto · PTUniversity of Wolverhampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three years of study showed that female and male vocational dancers displayed lower bone mass compared to controls, at forearm, lumbar spine and femoral neck. Energy intake was found to positively predict bone mass accruals only in female dancers at femoral neck. Vocational dancers can be a risk population to develop osteoporosis. PURPOSE: To determine whether risk factors normally associated with low bone mass in athletic populations (i.e. nutrition intake, energy expenditure and energy availability) are significant predictors of bone mass changes in vocational dance students.

methodsThe total of 101 vocational dancers (63 females, 12.8 ± 2.2 years; 38 males, 12.7 ± 2.2 years) and 115 age-matched controls (68 females, 13.0 ± 2.1 years; 47 males, 13.0 ± 1.8 years) were monitored for 3 consecutive years. Bone mass parameters were measured annually at impact sites (femoral neck, FN; lumber spine, LS) and non-impact site (forearm) using DXA. Nutrition (3-day record), energy expenditure (accelerometer), energy availability and IGF-1 serum concentration (immunoradiometric assays) were also assessed.

resultsFemale and male vocational dancers had consistently reduced bone mass at all anatomical sites (p < 0.001) than controls. IGF-1 did not differ between male vocational dancers and controls, but female dancers showed it higher than controls. At baseline, calcium intake was significantly greater in female vocational dancers than controls (p < 0.05). Male vocational dancers' fat and carbohydrate intakes were significantly lower than matched controls (p < 0.001 and p < 0.05, respectively). Energy availability of both female and male vocational dancers was within the normal range. A significant group effect was found at the FN regarding energy intake (p < 0.05) in female dancers. No significant predictors were found to explain bone mass differences in males.

conclusionOur 3-year study revealed that both female and male vocational dancers displayed lower bone mass compared to controls, at both impact and non-impact sites. The aetiology of these findings may be grounded on factors different than those usually considered in athletic populations.

Indexed as

DancingAdolescentBone DensityChildEnergy MetabolismFemaleHumansLongitudinal StudiesMaleStudentsAthletic populationBalletBMCBMDFemale athlete triadFollow-up

Identifiers

PMID34561723
OpenAlexW3201382341

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.