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Growth patterns of breastfed infants in seven countries

1,

  • 1Programme of Nutrition, World Health Organization, Geneva, Switzerland.

Insights

International research on infant growth reveals breastfed babies from diverse backgrounds exhibit similar growth patterns. However, specific populations, like Chinese and Indian infants, show slight variations, highlighting the need for inclusive growth references.

Area of Science:

  • Pediatrics
  • Human Growth and Development
  • Nutritional Science

Background:

  • Current international growth references may not accurately reflect breastfed infants' growth patterns.
  • Limited comprehensive data exists for diverse populations of breastfed infants worldwide.

Purpose of the Study:

  • To establish a new international growth reference for young children, particularly breastfed infants.
  • To analyze growth patterns across multiple international sites using data from the WHO Multinational Study of Breastfeeding and Lactational Amenorrhea.

Main Methods:

  • Collected bi-weekly weight and length measurements from approximately 120 breastfed infants per site across Australia, Chile, China, Guatemala, India, Nigeria, and Sweden.
  • Employed multi-level modeling to analyze growth differences, adjusting for maternal stature and infant feeding patterns.
  • Ensured mothers were literate with above-average educational levels, though not restricted to high socioeconomic status.

Main Results:

  • Growth curves for breastfed infants were remarkably similar across most international sites.
  • Chinese infants were approximately 3% shorter, and Indian infants up to 15% lighter at 12 months compared to Australian infants.
  • Maternal education significantly impacted infant weight only in India.

Conclusions:

  • Breastfed infants from socioeconomically stable families demonstrate consistent growth globally.
  • Further rigorous assessment of South and East Asian populations is crucial for developing a new international growth reference.
  • The study underscores the interplay of environmental and genetic factors in child growth and the complexities of growth data analysis.

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