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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.
Afiliación
  • Sun YQ; Department of Clinical and Molecular Medicine (IKOM), NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
  • Burgess S; MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge CB2 0SR, UK sb452@medschl.cam.ac.uk.
  • Staley JR; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Wood AM; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Bell S; MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
  • Kaptoge SK; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Guo Q; NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Bolton TR; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Mason AM; NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Butterworth AS; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Di Angelantonio E; NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Vie GÅ; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Bjørngaard JH; NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Kinge JM; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Chen Y; NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Mai XM; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
BMJ ; 364: l1042, 2019 03 26.
Article en En | MEDLINE | ID: mdl-30957776
ABSTRACT

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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Causas de Muerte Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: BMJ Asunto de la revista: MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Noruega

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Causas de Muerte Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: BMJ Asunto de la revista: MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Noruega