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

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-Trøndelag Health (HUNT) Study (Norway) and UK Biobank (United Kingdom). PARTICIPANTS: Middle to early late aged partic...

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Autores principales: Sun, Yi-Qian, Burgess, Stephen, Staley, James R, Wood, Angela M, Bell, Steven, Kaptoge, Stephen K, Guo, Qi, Bolton, Thomas R, Mason, Amy M, Butterworth, Adam S, Di Angelantonio, Emanuele, Vie, Gunnhild Å, Bjørngaard, Johan H, Kinge, Jonas Minet, Chen, Yue, Mai, Xiao-Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434515/
https://www.ncbi.nlm.nih.gov/pubmed/30957776
http://dx.doi.org/10.1136/bmj.l1042
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author Sun, Yi-Qian
Burgess, Stephen
Staley, James R
Wood, Angela M
Bell, Steven
Kaptoge, Stephen K
Guo, Qi
Bolton, Thomas R
Mason, Amy M
Butterworth, Adam S
Di Angelantonio, Emanuele
Vie, Gunnhild Å
Bjørngaard, Johan H
Kinge, Jonas Minet
Chen, Yue
Mai, Xiao-Mei
author_facet Sun, Yi-Qian
Burgess, Stephen
Staley, James R
Wood, Angela M
Bell, Steven
Kaptoge, Stephen K
Guo, Qi
Bolton, Thomas R
Mason, Amy M
Butterworth, Adam S
Di Angelantonio, Emanuele
Vie, Gunnhild Å
Bjørngaard, Johan H
Kinge, Jonas Minet
Chen, Yue
Mai, Xiao-Mei
author_sort Sun, Yi-Qian
collection PubMed
description 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-Trøndelag 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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spelling pubmed-64345152019-04-08 Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses Sun, Yi-Qian Burgess, Stephen Staley, James R Wood, Angela M Bell, Steven Kaptoge, Stephen K Guo, Qi Bolton, Thomas R Mason, Amy M Butterworth, Adam S Di Angelantonio, Emanuele Vie, Gunnhild Å Bjørngaard, Johan H Kinge, Jonas Minet Chen, Yue Mai, Xiao-Mei BMJ Research 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-Trøndelag 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. BMJ Publishing Group Ltd. 2019-03-26 /pmc/articles/PMC6434515/ /pubmed/30957776 http://dx.doi.org/10.1136/bmj.l1042 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Sun, Yi-Qian
Burgess, Stephen
Staley, James R
Wood, Angela M
Bell, Steven
Kaptoge, Stephen K
Guo, Qi
Bolton, Thomas R
Mason, Amy M
Butterworth, Adam S
Di Angelantonio, Emanuele
Vie, Gunnhild Å
Bjørngaard, Johan H
Kinge, Jonas Minet
Chen, Yue
Mai, Xiao-Mei
Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses
title Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses
title_full Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses
title_fullStr Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses
title_full_unstemmed Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses
title_short Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses
title_sort body mass index and all cause mortality in hunt and uk biobank studies: linear and non-linear mendelian randomisation analyses
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434515/
https://www.ncbi.nlm.nih.gov/pubmed/30957776
http://dx.doi.org/10.1136/bmj.l1042
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