Evidence map›Paper›PMID 26231751›Full record

ArticleBMC medical genetics2015

Sex-specific genetic effects in physical activity: results from a quantitative genetic analysis.

Vincent P Diego, Raquel Nichele de Chaves, John Blangero, Michele Caroline de Souza, Daniel Santos, Thayse Natacha Gomes, Fernanda Karina dos Santos, Rui Garganta, Peter T Katzmarzyk, José A R Maia

Abstract read
In one paragraph

Article in BMC medical genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Genetic confounding in the association of early motor development with childhood and adolescent exercise behavior.The international journal of behavioral nutrition and physical activity · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Familial Aggregation and Heritability of Obstructive Sleep Apnea Using Children Probands.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019
    Article
  10. Article
  11. Review
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

10 authors.

Vincent P DiegoUniversity of Texas Rio Grande Valley, School of Medicine, South Texas Diabetes and Obesity Institute, Brownsville, Texas. Diego@uthscsa.edu.
Raquel Nichele de ChavesAcademic Department of Physical Education, Federal University of Technology - Parana, Curitiba - PR, Brazil. raquelchaves@utfpr.edu.br.
John BlangeroUniversity of Texas Rio Grande Valley, School of Medicine, South Texas Diabetes and Obesity Institute, Brownsville, Texas. Blangero@uthscsa.edu.
Michele Caroline de SouzaCIFI²D, Kinanthropometry Lab, Faculty of Sport, University of Porto, Porto, Portugal Faculty of Sports, University of Porto, Porto, Portugal. mcsouza85@hotmail.com.
Daniel SantosCIFI²D, Kinanthropometry Lab, Faculty of Sport, University of Porto, Porto, Portugal Faculty of Sports, University of Porto, Porto, Portugal. d.monteiro.santos13@gmail.com.
Thayse Natacha GomesCIFI²D, Kinanthropometry Lab, Faculty of Sport, University of Porto, Porto, Portugal Faculty of Sports, University of Porto, Porto, Portugal. thayse_natacha@hotmail.com.
Fernanda Karina dos SantosCIFI²D, Kinanthropometry Lab, Faculty of Sport, University of Porto, Porto, Portugal Faculty of Sports, University of Porto, Porto, Portugal. fernandak.santos@hotmail.com.
Rui GargantaCIFI²D, Kinanthropometry Lab, Faculty of Sport, University of Porto, Porto, Portugal Faculty of Sports, University of Porto, Porto, Portugal. ruigarg@fade.up.pt.
Peter T KatzmarzykPennington Biomedical Research Center, Baton Rouge, USA. peter.katzmarzyk@pbrc.edu.
José A R MaiaCIFI²D, Kinanthropometry Lab, Faculty of Sport, University of Porto, Porto, Portugal Faculty of Sports, University of Porto, Porto, Portugal. jmaia@fade.up.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study is to present a model to estimate sex-specific genetic effects on physical activity (PA) levels and sedentary behaviour (SB) using three generation families.

methodsThe sample consisted of 100 families covering three generations from Portugal. PA and SB were assessed via the International Physical Activity Questionnaire short form (IPAQ-SF). Sex-specific effects were assessed by genotype-by-sex interaction (GSI) models and sex-specific heritabilities. GSI effects and heterogeneity were tested in the residual environmental variance. SPSS 17 and SOLAR v. 4.1 were used in all computations.

resultsThe genetic component for PA and SB domains varied from low to moderate (11% to 46%), when analyzing both genders combined. We found GSI effects for vigorous PA (p = 0.02) and time spent watching television (WT) (p < 0.001) that showed significantly higher additive genetic variance estimates in males. The heterogeneity in the residual environmental variance was significant for moderate PA (p = 0.02), vigorous PA (p = 0.006) and total PA (p = 0.001). Sex-specific heritability estimates were significantly higher in males only for WT, with a male-to-female difference in heritability of 42.5 (95% confidence interval: 6.4, 70.4).

conclusionsLow to moderate genetic effects on PA and SB traits were found. Results from the GSI model show that there are sex-specific effects in two phenotypes, VPA and WT with a stronger genetic influence in males.

Indexed as

Sex CharacteristicsAnalysis of VarianceCross-Sectional StudiesFemaleHumansInheritance PatternsLikelihood FunctionsMaleModels, GeneticMotor ActivityPortugalSedentary BehaviorSurveys and Questionnaires

Identifiers

PMID26231751
PMCPMC4557754

What OpenQuestion holds

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LicenceCC BY
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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.