Evidence map›Paper›PMID 34497352›Full record

ArticleInternational journal of obesity (2005)2022

Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable.

Elina Hyppönen, David Carslake, Diane J Berry, Chris Power, George Davey Smith

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

6 citing papers in PubMed.

  1. Observational
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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.

Elina HyppönenAustralian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, North Terrace, Adelaide, SA, 5000, Australia. elina.hypponen@unisa.edu.au.ORCID http://orcid.org/0000-0003-3670-9399
David CarslakeMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.ORCID http://orcid.org/0000-0003-2916-4546
Diane J BerryPopulation, Policy and Practice, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Chris PowerPopulation, Policy and Practice, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
George Davey SmithMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.

Funding

Medical Research Council G0601653Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/9Wellcome Trust 059480
6 · The paper itself

Abstract

objectiveHigh body mass index (BMI) is an important predictor of mortality but estimating underlying causality is hampered by confounding and pre-existing disease. Here, we use information from the offspring to approximate parental BMIs, with an aim to avoid biased estimation of mortality risk caused by reverse causality.

methodsThe analyses were based on information on 9674 offspring-mother and 9096 offspring-father pairs obtained from the 1958 British birth cohort. Parental BMI-mortality associations were analysed using conventional methods and using offspring BMI as a proxy, or instrument, for their parents' BMI.

resultsIn the conventional analysis, associations between parental BMI and all-cause mortality were U-shaped (P

conclusionsAnalyses using offspring BMI as a proxy for parental BMI suggest that the apparent adverse consequences of low BMI are considerably overestimated and adverse consequences of overweight are underestimated in conventional epidemiological studies.

Indexed as

Body Mass IndexAdultCorrelation of DataFathersFemaleGenetic Predisposition to DiseaseHumansMaleMortalityMothersParent-Child RelationsRisk FactorsUnited Kingdom

Identifiers

PMID34497352
PMCPMC7612209

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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.