Complementary and alternative metrics for tracking population-level trends in child linear growth
Bibliographic Data
| ID | 19594530 |
|---|---|
| Authors | Ashley Aimone (0000-0001-9812-8640, Hospital for Sick Children), Ashley M Aimone, Diego G Bassani (0000-0001-6704-3820, University of Toronto), Huma Qamar (0000-0002-5646-8548, Hospital for Sick Children), Alison Dasiewicz (0000-0002-3796-7675, Hospital for Sick Children), Nandita Perumal (0000-0003-3624-4405, Hospital for Sick Children), Sorrel ML Namaste (0000-0002-6857-8461, ICF International (United States)), Devanshi Shah (0000-0002-0571-4040, Hospital for Sick Children), Daniel Roth (0000-0001-7742-0925, University of Toronto, corresponding author) |
| Editors | Gerard Bryan Gonzales (0000-0001-6614-3520) |
| Year | 2023 |
| Volume | 3 |
| Issue | 4 |
| Pages | e0001766 |
| Publication date | 2023-04-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PLOS Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Publisher | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0001766 |
| PMID | 37068059 |
| OpenAlex | W4366082663 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
Stunting prevalence is commonly used to track population-level child nutritional status. However, other metrics derived from anthropometric datasets may be used as alternatives to stunting or provide complementary perspectives on the status of linear growth faltering in low- and middle-income countries (LMICs). Data from 156 Demographic and Health Surveys in 63 LMICs (years 2000 to 2020) were used to generate 2 types of linear growth metrics: (i) measures of location of height distributions (including stunting) for under-5 years ( r ), metrics were considered alternatives to stunting if very strongly correlated with stunting (| r |≥0.95) and at least as strongly correlated as stunting with selected population indicators (under 5y mortality, gross domestic product, maternal education). Metrics were considered complementary if less strongly correlated with stunting (| r | r | ≤ 0.43). In conclusion, several linear growth metrics could serve as alternatives to stunting prevalence and others may be complementary to stunting in tracking global progress in child health and nutrition. Further research is needed to explore the real-world utility of these alternative and complementary metrics
Anthropometry · Environmental health · Linear regression · Population · Rank correlation · Spearman's rank correlation coefficient · Statistics · Child Nutrition and Water Access · Demography · Global Maternal and Child Health · Mathematics · Medicine · Poverty, Education, and Child Welfare · Internal Medicine
Demographic and health surveys
WHO Child Growth Standards based on length/height, weight and age
Revisiting maternal and child undernutrition in low-income and middle-income countries
Socioeconomic and Demographic Factors Are Associated with Worldwide Patterns of Stunting and Wasting of Children
Risk of childhood undernutrition related to small-for-gestational age and preterm birth in low- and middle-income countries
Worldwide Timing of Growth Faltering
Maternal and child undernutrition and overweight in low-income and middle-income countries
Physical Status
A novel development indicator based on population-average height trajectories of children aged 0–5 years modelled using 145 surveys in 64 countries, 2000–2018
Catch-up Growth or Regression to the Mean? Recovery from Stunting Revisited
The W orld H ealth O rganization's global target for reducing childhood stunting by 2025
Prevalence thresholds for wasting, overweight and stunting in children under 5 years
Growth delay
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |