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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 14 06 2019
accepted: 22 08 2019
entrez: 11 9 2019
pubmed: 11 9 2019
medline: 7 3 2020
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 31504067
doi: 10.1371/journal.pone.0222141
pii: PONE-D-19-16847
pmc: PMC6736493
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0222141

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Junxi Liu (J)

School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Shiu Lun Au Yeung (SL)

School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Baoting He (B)

School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Man Ki Kwok (MK)

School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Gabriel Matthew Leung (GM)

School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

C Mary Schooling (CM)

School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
City University of New York Graduate School of Public Health and Health Policy, New York, New York, United States of America.

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