Evidence map›Paper›PMID 20351737›Full record

ArticleInternational journal of obesity (2005)2010

No evidence of large differences in mother-daughter and father-son body mass index concordance in a large UK birth cohort.

S Leary, G Davey Smith, A Ness

Abstract read
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In one paragraph

Article in International journal of obesity (2005), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Disentangling the associations between parental BMI and offspring body composition using the four-component model.American journal of human biology : the official journal of the Human Biology Council · 2016
    Article
  4. Review
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  8. Review
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  12. Article
  13. Gender-assortative weight gain: reply to Leary, Smith and Ness.International journal of obesity (2005) · 2011
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

S LearyLifecourse Epidemiology and Population Oral Health Research Group, Department of Oral and Dental Science, University of Bristol, Bristol BS1 2LY, UK. s.d.leary@bristol.ac.uk
G Davey Smith
A Ness
University of Bristol · GBUniversity Of Bristol Dental Hospital · GB

Funding

Medical Research Council G9815508
6 · The paper itself

Abstract

It has recently been suggested that there are substantial differences in mother-daughter and father-son associations of body mass index and obesity among contemporary UK children, but much larger studies of older cohorts have failed to find evidence of substantial sex-specific effects. We have tested this hypothesis using the Avon Longitudinal Study of Parents and Children, a large contemporary cohort. Our analyses are based on 4654 complete parent-offspring trios (2323 with male offspring and 2331 with female offspring, all aged approximately 7.5 years). We found maternal body mass index to be a little more strongly associated with female than with male offspring body mass index (beta=0.18 (95% confidence interval 0.16-0.20) for females vs 0.13 (0.12, 0.15) for males). However, associations between paternal body mass index and male compared with female offspring were very similar (beta=0.16 (0.14, 0.19) for females vs 0.15 (0.12, 0.17) for males). Hence, our study suggests that there is no compelling reason to integrate the belief that there are large differences in parent-offspring body mass index associations with obesity prevention strategies.

Indexed as

Body Mass IndexNuclear FamilyAdultChildChild, PreschoolCohort StudiesFemaleHumansMaleObesitySex FactorsUnited Kingdom

Identifiers

PMID20351737
OpenAlexW2161294925

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.