4.6 Article

Estimating the causal effect of BMI on mortality risk in people with heart disease, diabetes and cancer using Mendelian randomization

Journal

INTERNATIONAL JOURNAL OF CARDIOLOGY
Volume 330, Issue -, Pages 214-220

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.ijcard.2021.02.027

Keywords

Obesity; Mortality; Coronary heart disease

Funding

  1. University of Manchester's Health eResearch Centre (HeRC) - Medical Research Council (MRC) [MR/K006665/1]
  2. National Institute for Health Research (NIHR) Greater Manchester Patient Safety Translational Research Centre (NIHR Greater Manchester PSTRC)
  3. MRC-IEU [MC_UU_12013/9, MC_UU_12013/1, MC_UU_00011/1, MC_UU_12013/3, MC_UU_12013/4]
  4. MRC Methodology Research Fellowship [MR/N501906/1]
  5. Wellcome Trust [202802/Z/16/Z, 204813/Z/16/Z]
  6. Cancer Research UK programme [C18281/A19169]
  7. Elizabeth Blackwell Institute for Health Research
  8. University of Bristol
  9. MRC [MC_UU_00011/2, MR/K006665/1] Funding Source: UKRI

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Observational data have shown that being overweight or obese is associated with a lower risk of death compared to being normal weight, a phenomenon known as the obesity paradox. However, Mendelian randomization analysis in this study revealed a positive linear causal effect of BMI on mortality risk, supporting the idea that intentional weight loss towards the normal BMI range could reduce mortality risk in the general population, including individuals with coronary heart disease.
Background: Observational data have reported that being overweight or obese, compared to being normal weight, is associated with a tower risk for death - the obesity paradox. We used Mendelian randomization (MR) to estimate causal effects of body mass index (BMI) on mortality risks in people with coronary heart disease (CHD), type 2 diabetes mellitus (T2DM) or malignancy in whom this paradox has been often reported. Methods: We studied 457,746 White British UK Biobank participants including three subgroups with T2DM (n = 19,737), CHD (n = 21,925) or cancer (n = 42,612) at baseline and used multivariable-adjusted Cox models and MR approaches to describe relationships between BMI and mortality risk. Results: Observational Cox models showed J-shaped relationships between BMI and mortality risk including within disease subgroups in which the BMI values associated with minimum mortality risk were within overweight/obese ranges (26.5-32.5 kg/m(2)). In all participants, MR analyses showed a positive linear causal effect of BMI on mortality risk (HR for mortality per unit higher BMI: 1.05; 95% CI: 1.03-1.08), also evident in people with CHD (HR: 1.08; 95% CI: 1.01-1.14). Point estimates for hazard ratios across all BMI values in participants with T2DM and cancer were consistent with overall positive linear effects but confidence intervals included the null. Conclusion: These data support the idea that population efforts to promote intentional weight loss towards the normal BMI range would reduce, not enhance, mortality risk in the general population including, importantly, individuals with CHD. (C) 2021 Published by Elsevier B.V.

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