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The effect of birth weight on body composition: Evidence from a birth cohort and a Mendelian randomization study

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  • Junxi Liu
  • Shiu Lun Au Yeung
  • Baoting He
  • Man Ki Kwok
  • Gabriel Matthew Leung
  • C Mary Schooling

Abstract

Background: Lower birth weight is associated with diabetes although the underlying mechanisms are unclear. Muscle mass could be a modifiable link and hence a target of intervention. We assessed the associations of birth weight with muscle and fat mass observationally in a population with little socio-economic patterning of birth weight and using Mendelian randomization (MR) for validation. Methods: In the population-representative “Children of 1997” birth cohort (n = 8,327), we used multivariable linear regression to assess the adjusted associations of birth weight (kg) with muscle mass (kg) and body fat (%) at ~17.5 years. Genetically predicted birth weight (effect size) was applied to summary genetic associations with fat-free mass and fat mass (kg) from the UK Biobank (n = ~331,000) to obtain unconfounded estimates using inverse-variance weighting. Results: Observationally, birth weight was positively associated with muscle mass (3.29 kg per kg birth weight, 95% confidence interval (CI) 2.83 to 3.75) and body fat (1.09% per kg birth weight, 95% CI 0.54 to 1.65). Stronger associations with muscle mass were observed in boys than in girls (p for interaction 0.004). Using MR, birth weight was positively associated with fat-free mass (0.77 kg per birth weight z-score, 95% CI 0.22 to 1.33) and fat mass (0.58, 95% CI 0.01 to 1.15). No difference by sex was evident. Conclusion: Higher birth weight increasing muscle mass may be relevant to lower birth weight increasing the risk of diabetes and suggests post-natal muscle mass as a potential target of intervention.

Suggested Citation

  • Junxi Liu & Shiu Lun Au Yeung & Baoting He & Man Ki Kwok & Gabriel Matthew Leung & C Mary Schooling, 2019. "The effect of birth weight on body composition: Evidence from a birth cohort and a Mendelian randomization study," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-14, September.
  • Handle: RePEc:plo:pone00:0222141
    DOI: 10.1371/journal.pone.0222141
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