Complementary and alternative metrics for tracking population-level trends in child linear growth

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

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