Evidence map›Paper›PMID 18214693›Full record

ArticleEuropean journal of epidemiology2008

Genetic and environmental factors in familial clustering in physical activity.

André F Seabra, Denisa M Mendonça, Harald H H Göring, Martine A Thomis, José A Maia

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In one paragraph

Article in European journal of epidemiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Resemblance in accelerometer-assessed physical activity in families with children: the Lolland-Falster Health Study.The international journal of behavioral nutrition and physical activity · 2020
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  13. Twins and endocrinology.Indian journal of endocrinology and metabolism · 2014
    Review
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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

5 authors.

André F SeabraFaculty of Sports, University of Porto, Porto, Portugal. aseabra@fade.up.pt
Denisa M Mendonça
Harald H H Göring
Martine A Thomis
José A Maia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this study was to estimate the familial aggregation and quantify the contribution of genetic and environmental factors on physical activity (PA) habits of Portuguese families. The sample consisted of 2,375 nuclear families (parents and two offspring each) from different regions of Portugal with a total of 9,500 subjects. The assessment of PA was based on a psychometrically established questionnaire. This is a reliable and valid instrument to measure different PA indices (school/work, sport and leisure time). Familial aggregation was computed by factorial ANOVA. Familial correlations were calculated using FCOR in the SAGE software package. Heritability was estimated using variance-components methods implemented in the SOLAR software package. The main results are: (1) In all PA phenotypes, there was 1.34 to 1.99 times more variation in PA between families than within families, suggesting that PA aggregates in families (except work/school); (2) Subjects of the same generation tend to be more similar in their PA habits than subjects of different generations. (3) In all PA phenotypes studied, adjusted for the effects of multiple covariates, the proportion of phenotypic variance due to additive genetic factors ranged between 6% and 25%. In summary, there is substantial familial aggregation in PA, to which shared environmental factors appear to contribute somewhat more than shared genetic factors.

Indexed as

EnvironmentFamilyAdolescentAdultAge FactorsChildCluster AnalysisFemaleHumansMaleMiddle AgedMotor ActivityPhenotypePortugalSex Factors

Identifiers

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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.