Evidence map›Paper›PMID 29769355›Full record

ArticleBMJ (Clinical research ed.)2018

Role of obesity in smoking behaviour: Mendelian randomisation study in UK Biobank.

Robert Carreras-Torres, Mattias Johansson, Philip C Haycock, Caroline L Relton, George Davey Smith, Paul Brennan, Richard M Martin

Abstract readValidation Study
In one paragraph

Article in BMJ (Clinical research ed.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 9 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

102 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  5. Maternal Cigarette Smoking and Cleft Lip and Palate: A Systematic Review and Meta-Analysis.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2022
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  18. A focusing framework for testing bi-directional causal effects in Mendelian randomization.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2025
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42 more citing papers are in PubMed but not listed here.

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

7 authors.

Robert Carreras-TorresSection of Genetics, International Agency for Research on Cancer, Lyon, France.
Mattias JohanssonSection of Genetics, International Agency for Research on Cancer, Lyon, France.
Philip C HaycockMedical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK.
Caroline L ReltonMedical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK.
George Davey SmithMedical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK.
Paul BrennanSection of Genetics, International Agency for Research on Cancer, Lyon, France gep@iarc.fr.
Richard M MartinDepartment of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Funding

Cancer Research UK 19169Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_12013/2World Health Organization 001
6 · The paper itself

Abstract

objectiveTo determine whether body mass index, body fat percentage, and waist circumference influence smoking status and intensity.

designMendelian randomisation study.

settingUK Biobank, with replication of results from the Tobacco and Genetics (TAG) consortium.

participantsEuropean descent participants from the UK Biobank cohort (n=372 791) and the TAG consortium (n=74 035).

main outcome measuresRisk of current and past smoking, number of cigarettes smoked per day, age of smoking initiation.

resultsThe Mendelian randomisation analysis indicated that each standard deviation increment in body mass index (4.6) increased the risk of being a smoker (odds ratio 1.18 (95% confidence interval 1.13 to 1.23), P<0.001). This association was replicated in the TAG consortium data (1.19 (1.06 to 1.33), P=0.003). Furthermore, each standard deviation increment in body mass index was estimated to increase smoking intensity by 0.88 cigarettes per day (95% confidence interval 0.50 to 1.26, P<0.001) in UK Biobank and 1.27 cigarettes per day in the TAG consortium (0.46 to 2.07, P=0.002). Similar results were also seen for body fat percentage and waist circumference in both UK Biobank and the TAG consortium data.

conclusionsThese results strongly suggest that higher adiposity influences smoking behaviour and could have implications for the implementation of public health interventions aiming to reduce the prevalence of these important risk factors.

Indexed as

Biological Specimen BanksMendelian Randomization AnalysisBody Mass IndexFemaleHumansMaleMiddle AgedObesityOdds RatioPrevalenceRisk FactorsSmokingUnited KingdomWaist Circumference

Identifiers

PMID29769355
PMCPMC5953237

What OpenQuestion holds

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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.