[Birth weight predicts physical indicators in adulthood: a large population-based study in Chinese twins]

Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Mar 10;41(3):310-314. doi: 10.3760/cma.j.issn.0254-6450.2020.03.006.
[Article in Chinese]

Abstract

Objective: To quantitate the association between birth weight and phenotypes of physical indicators in adulthood, i.e. BMI and waist circumference (WC) and to what degree genetic or environmental factors affect birth weight-obesity association. Methods: A total of 6 623 gender matched twin pairs aged 25 to 79 years were recruited through the Chinese National Twin Registry. The twins reported their own birth weight, current height and weight, and WC using a self-administered questionnaire. BMI was calculated according to the self-reports of body height and weight. Within twin-pair design was used to quantitate the association between birth weight and phenotypes related to obesity while bivariate structural equation models were used to decompose the phenotype correlation. Results: After adjusted for multiple factors, twin-pair analyses within monozygotic (MZ) showed that, on average, a 1.0 kg increase in birth weight corresponded to an increase of 0.33 kg/m(2) in BMI and 0.95 cm in WC in adulthood (P<0.001). Bivariate structural equation models showed significant positive unique environmental correlation between birth weight and the two obesity-related phenotypes. Conclusion: The study supported the role of twin-specific supply line factors on relationship between birth weight and physical indicators in adulthood.

目的: 研究出生体重与成年期体格指标(BMI、腰围)表型的相关性,分解相关性可能的来源。 方法: 本研究使用中国双生子登记系统基线调查的年龄在25~79岁间的同性别双生子对(共6 623对),通过问卷调查收集其出生体重、目前身高、体重及腰围。采用双生子对内对照设计的方法探索出生体重与成年期体格指标的相关性,采用结构方程模型分解相关性的来源。 结果: 在调整多种混杂因素后,同卵双生子对内分析结果显示出生体重每增加1.0 kg,成年后BMI增加0.33 kg/m(2),腰围增加0.95 cm。结构方程模型结果显示出生体重与BMI、腰围均存在双生子个体特有环境因素的相关。 结论: 该研究支持成年期体格指标与出生体重的相关受双生子间特有因素的影响。.

Keywords: Birth weight; Body-mass index; Twin studies; Waist circumference.

Publication types

  • Twin Study

MeSH terms

  • Adult
  • Aged
  • Birth Weight* / genetics
  • China / epidemiology
  • Female
  • Gene-Environment Interaction
  • Humans
  • Male
  • Middle Aged
  • Obesity / epidemiology*
  • Obesity / genetics
  • Registries
  • Twins