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Metrics of early childhood growth in recent epidemiological research: A scoping review

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  • Michael Leung
  • Nandita Perumal
  • Elnathan Mesfin
  • Aditi Krishna
  • Seungmi Yang
  • William Johnson
  • Diego G Bassani
  • Daniel E Roth

Abstract

Metrics to quantify child growth vary across studies of the developmental origins of health and disease. We conducted a scoping review of child growth studies in which length/height, weight or body mass index (BMI) was measured at ≥ 2 time points. From a 10% random sample of eligible studies published between Jan 2010-Jun 2016, and all eligible studies from Oct 2015-June 2016, we classified growth metrics based on author-assigned labels (e.g., ‘weight gain’) and a ‘content signature’, a numeric code that summarized the metric’s conceptual and statistical properties. Heterogeneity was assessed by the number of unique content signatures, and label-to-content concordance. In 122 studies, we found 40 unique metrics of childhood growth. The most common approach to quantifying growth in length, weight or BMI was the calculation of each child’s change in z-score. Label-to-content discordance was common due to distinct content signatures carrying the same label, and because of instances in which the same content signature was assigned multiple different labels. In conclusion, the numerous distinct growth metrics and the lack of specificity in the application of metric labels challenge the integration of data and inferences from studies investigating the determinants or consequences of variations in childhood growth.

Suggested Citation

  • Michael Leung & Nandita Perumal & Elnathan Mesfin & Aditi Krishna & Seungmi Yang & William Johnson & Diego G Bassani & Daniel E Roth, 2018. "Metrics of early childhood growth in recent epidemiological research: A scoping review," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
  • Handle: RePEc:plo:pone00:0194565
    DOI: 10.1371/journal.pone.0194565
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    References listed on IDEAS

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    1. Zhangbin Yu & Shuping Han & Jingai Zhu & Xiaofan Sun & Chenbo Ji & Xirong Guo, 2013. "Pre-Pregnancy Body Mass Index in Relation to Infant Birth Weight and Offspring Overweight/Obesity: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-1, April.
    2. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
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