ArticlePloS one2018
Metrics of early childhood growth in recent epidemiological research: A scoping review.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Capturing infant and child growth dynamics with P-splines mixed effects models.International journal of obesity (2005) · 2026Article
- Four methods to identify sensitive periods of infant weight gain associated with adolescent BMI in a Chinese birth cohort.Scientific reports · 2025Observational
- Implications for quantifying early life growth trajectories of term-born infants using INTERGROWTH-21st newborn size standards at birth in conjunction with World Health Organization child growth standards in the postnatal period.Paediatric and perinatal epidemiology · 2022Article
- Design of the performance outcome scoring template (POS-T) with example application on COScientific reports · 2022Article
- Do Early Infant Feeding Practices and Modifiable Household Behaviors Contribute to Age-Specific Interindividual Variations in Infant Linear Growth? Evidence from a Birth Cohort in Dhaka, Bangladesh.Current developments in nutrition · 2021Article
- Early childhood growth trajectory and later cognitive ability: evidence from a large prospective birth cohort of healthy term-born children.International journal of epidemiology · 2021Article
- Article
- Analysis of 'sensitive' periods of fetal and child growth.International journal of epidemiology · 2019Observational
Corrections and comments
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Authors and funding
8 authors.
Funding
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.
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Registered trials
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