4.5 Article

Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses

Journal

BMJ-BRITISH MEDICAL JOURNAL
Volume 364, Issue -, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmj.l1042

Keywords

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Funding

  1. Norwegian Cancer Society [5769155-2015]
  2. Research Council of Norway Gaveforsterkning
  3. Research Council of Norway [250335]
  4. Sir Henry Dale Fellowship - Wellcome Trust [204623/Z/16/Z]
  5. Sir Henry Dale Fellowship - Royal Society [204623/Z/16/Z]
  6. UK Medical Research Council [MR/L003120/1]
  7. British Heart Foundation [RG/13/13/30194]
  8. National Institute for Health Research (Cambridge Biomedical Research Centre at the Cambridge University Hospitals NHS Foundation Trust)
  9. MRC [MC_UU_00002/7] Funding Source: UKRI

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OBJECTIVE To investigate the shape of the causal relation between body mass index (BMI) and mortality. DESIGN Linear and non-linear mendelian randomisation analyses. SETTING Nord-Trondelag Health (HUNT) Study (Norway) and UK Biobank (United Kingdom). PARTICIPANTS Middle to early late aged participants of European descent: 56 150 from the HUNT Study and 366 385 from UK Biobank. MAIN OUTCOME MEASURES All cause and cause specific (cardiovascular, cancer, and non-cardiovascular non-cancer) mortality. RESULTS 12 015 and 10 344 participants died during a median of 18.5 and 7.0 years of follow-up in the HUNT Study and UK Biobank, respectively. Linear mendelian randomisation analyses indicated an overall positive association between genetically predicted BMI and the risk of all cause mortality. An increase of 1 unit in genetically predicted BMI led to a 5% (95% confidence interval 1% to 8%) higher risk of mortality in overweight participants (BMI 25.0-29.9) and a 9% (4% to 14%) higher risk of mortality in obese participants (BMI = 30.0) but a 34% (16% to 48%) lower risk in underweight (BMI < 18.5) and a 14% (-1% to 27%) lower risk in low normal weight participants (BMI 18.5-19.9). Non-linear mendelian randomisation indicated a J shaped relation between genetically-predicted BMI and the risk of all cause mortality, with the lowest risk at a BMI of around 22-25 for the overall sample. Subgroup analyses by smoking status, however, suggested an always-increasing relation of BMI with mortality in never smokers and a J shaped relation in ever smokers. CONCLUSIONS The previously observed J shaped relation between BMI and risk of all cause mortality appears to have a causal basis, but subgroup analyses by smoking status revealed that the BMI-mortality relation is likely comprised of at least two distinct curves, rather than one J shaped relation. An increased risk of mortality for being underweight was only evident in ever smokers.

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