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Research Article| Volume 136, 155307, November 2022

Association between fat mass and mortality: analysis of Mendelian randomization and lifestyle modification

  • Author Footnotes
    1 Drs Jinbo Hu and Xiangjun Chen contribute equally and share the co-first authors.
    Jinbo Hu
    Footnotes
    1 Drs Jinbo Hu and Xiangjun Chen contribute equally and share the co-first authors.
    Affiliations
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China

    Departments of Nutrition and Epidemiology, Harvard TH Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA
    Search for articles by this author
  • Author Footnotes
    1 Drs Jinbo Hu and Xiangjun Chen contribute equally and share the co-first authors.
    Xiangjun Chen
    Footnotes
    1 Drs Jinbo Hu and Xiangjun Chen contribute equally and share the co-first authors.
    Affiliations
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
    Search for articles by this author
  • Jun Yang
    Affiliations
    Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Clayton, Victoria, Australia

    Department of Medicine, Monash University, Clayton, Victoria, Australia
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  • Edward Giovannucci
    Affiliations
    Departments of Nutrition and Epidemiology, Harvard TH Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA
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  • Dong Hoon Lee
    Affiliations
    Departments of Nutrition and Epidemiology, Harvard TH Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA
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  • Wenjin Luo
    Affiliations
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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  • Qingfeng Cheng
    Affiliations
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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  • Lilin Gong
    Affiliations
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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  • Zhihong Wang
    Affiliations
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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  • Qifu Li
    Correspondence
    Corresponding authors at: The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi St, Chongqing 400016, China.
    Affiliations
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
    Search for articles by this author
  • Shumin Yang
    Correspondence
    Corresponding authors at: The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi St, Chongqing 400016, China.
    Affiliations
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
    Search for articles by this author
  • Author Footnotes
    1 Drs Jinbo Hu and Xiangjun Chen contribute equally and share the co-first authors.
Published:September 01, 2022DOI:https://doi.org/10.1016/j.metabol.2022.155307

      Highlights

      • Mendelian randomization analyses indicated a causal association between genetically determined fat mass and mortality.
      • The association between anthropometric fat mass and all-cause mortality was manifested as J-shaped.
      • The elevated risk of mortality observed in people with low fat mass was modified by a high-risk lifestyle.

      Abstract

      Background

      The association between fat mass and mortality has been equivocally shown to be linear, J-shaped, and U-shaped. We aimed to clarify this relationship based on Mendelian randomization (MR) analysis and lifestyle modification.

      Methods

      This prospective analysis included 449,831 participants from UK Biobank. Linear MR analysis was used to estimate the linear relationship between fat mass and mortality. We assessed whole body fat mass by bioimpedance analysis at baseline and categorized subjects into five equal groups based on fat mass index (FMI). The association between FMI and mortality were investigated among whole population and in subgroups stratified by individual lifestyle factors, including diet, physical activity, smoking, alcohol, sleep and psychological health.

      Findings

      Linear MR analyses indicated a positive association between genetically predicted fat mass and all-cause mortality (HR 1.10, 95 % CI 1.08–1.12, P < 0.001). The association between FMI and all-cause mortality was manifested as J-shaped (HRs across FMI categories: 1.04, 1.00, 1.07, 1.21, 1.54), which was significantly modified by the number of low-risk lifestyle factors (P for interaction<0.001). When evaluating individual lifestyle factors, we observed a nonlinear relationship between FMI and all-cause mortality among participants who had high-risk lifestyle factors, while a linear relationship was observed among participants who had low-risk lifestyle factors, especially for those with adequate physical activity (HRs across FMI categories: 0.95, 1.00, 1.05, 1.17, 1.44) and who never smoked (0.96, 1.00, 1.03, 1.14, 1.51).

      Interpretation

      Genetically determined fat mass is causally and linearly associated with mortality. The J-shape association between anthropometric FMI and mortality is caused by high-risk lifestyle factors.

      Graphical abstract

      Abbreviations:

      BIA (bioimpedance analysis), BMI (body mass index), CVD (cardiovascular disease), CI (confidence interval), DXA (dual-energy X-ray absorptiometry), FMI (fat mass index), GWAS (genome-wide association studies), HR (hazard ratio), MR (mendelian randomization), PRS (polygenic risk score), SNPs (single nucleotide polymorphisms)

      Keywords

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