학술논문
Body mass index and all cause mortality in HUNT and UK Biobank studies : linear and non-linear mendelian randomisation analyses
Document Type
research-article
Author
Source
BMJ: British Medical Journal,
Subject
Language
English
ISSN
09598138
17561833
17561833
Abstract
To investigate the shape of the causal relation between body mass index (BMI) and mortality.
Linear and non-linear mendelian randomisation analyses.
Nord-Trøndelag Health (HUNT) Study (Norway) and UK Biobank (United Kingdom).
Middle to early late aged participants of European descent: 56 150 from the HUNT Study and 366 385 from UK Biobank.
All cause and cause specific (cardiovascular, cancer, and non-cardiovascular non-cancer) mortality.
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
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.
Linear and non-linear mendelian randomisation analyses.
Nord-Trøndelag Health (HUNT) Study (Norway) and UK Biobank (United Kingdom).
Middle to early late aged participants of European descent: 56 150 from the HUNT Study and 366 385 from UK Biobank.
All cause and cause specific (cardiovascular, cancer, and non-cardiovascular non-cancer) mortality.
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
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.