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Haemoglobin concentration thresholds that discriminate functional outcomes among children aged 6–30 months in eight countries

A pooled analysis of individual participant data

Bibliographic Data

ID21879640
AuthorsElizabeth L Prado (0000-0002-5388-081X, University of California, Davis), Leila M Larson (0000-0002-2570-7323, University of South Carolina), Charles D Arnold (0000-0001-6510-3172, University of California, Davis), K Ryan Wessells (0000-0002-5485-7144, University of California, Davis), Anuraj H Shankar (0000-0001-7268-6708, University of Oxford), Seth Adu-Afarwuah (0000-0002-2720-5474, University of Ghana), Benjamin F Arnold (0000-0001-6105-7295, University of California, San Francisco), Per Ashorn (0000-0003-2311-2593, Tampere University Hospital), Ulla Ashorn (0000-0002-1720-868X, Tampere University), Elodie Becquey (0000-0002-8748-7637, International Food Policy Research Institute), Kendall H Brown (0000-0001-6498-3120, Helen Keller International), Kenneth H Brown (University of California, Davis), Jaya Chandna (0000-0001-9836-0554, London School of Hygiene & Tropical Medicine), Bernard Chasekwa (0000-0001-8080-7573, Zvitambo Institute for Maternal and Child Health Research), Yue-Mei Fan (0000-0002-3241-6225, Tampere University), Emanuela Galasso (0000-0001-8620-057X, World Bank Group), Sonja Y Hess (0000-0002-4661-277X, University of California, Davis), Lieven Huybregts (0000-0002-3068-2853, International Food Policy Research Institute), Kaniz Jannat (0000-0002-2993-1955, Western Sydney University), Elizabeth Yakes Jimenez (0000-0003-0315-7022, New Mexico Department of Health), Anna Lartey (0000-0002-7870-2606, University of Ghana), Agnes Le Port (0000-0002-8337-6569, Institute for Sustainable Development), Jef L Leroy (0000-0001-9371-3832, International Food Policy Research Institute), Stephen P Luby (0000-0001-5385-899X, Stanford University), Kenneth Maleta (0000-0002-2536-3938, University of Malawi), Andrew Matchado (0000-0002-0302-5591, Kamuzu Central Hospital), Susana L Matias (0000-0002-3635-7445, University of California, Berkeley), Malay K Mridha (0000-0001-9226-457X, BRAC University), Kuda Mutasa (0000-0003-4158-6282, Zvitambo Institute for Maternal and Child Health Research), Clair Null (0000-0003-0819-536X, Mathematica Policy Research), Harriet Okronipa (0000-0002-5373-6754, Oklahoma State University), Jean‐bosco Ouédraogo (0000-0003-0412-8733, Nazi Boni University), Amy Pickering (Tufts University), John Phuka (0000-0003-4951-8145, University of Malawi), Anna Pulakka (0000-0002-0602-8632, University of Oulu), Lisy Ratsifandrihamanana (0009-0004-1965-4132, University of Antananarivo), Christine P Stewart (0000-0003-4575-8571, University of California, Davis), Fahmida Tofail (0000-0003-2301-9196, International Centre for Diarrhoeal Disease Research), Anna Margaret Weber (0000-0001-8130-5858, University of Nevada, Reno), Kathryn G Dewey (0000-0002-4185-3451, University of California, Davis)
Year2026
Volume11
Issue4
Pagese015866
Publication date2026-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2024-015866
PMID42049389
OpenAlexW7158247085
LanguageEN
References cited47

Introduction The WHO cut-offs to define anaemia among children (haemoglobin, Hb <105 g/L in 6–23 months and <110 g/L in 24–59 months) are based on the distribution of Hb concentrations in a healthy population. Our objective was to identify Hb values that best discriminate functional outcomes among children aged 6–30 months. Methods We used previously compiled datasets from an individual participant data meta-analysis of effects of small quantity lipid-based nutrient supplements. Participants were eligible for this pooled analysis if they had Hb measured at 6–30 months and data on at least one functional outcome of interest, which included physical activity and sleep patterns, and language, socioemotional and motor development. We stratified the datasets by child age in 3-month intervals and analysed associations of Hb with both concurrent and subsequently measured (longitudinal) outcomes. If Hb significantly discriminated the 25th, 50th or 75th percentile of the outcome based on the pooled area under the receiver operating characteristic curve (AUC), we identified the Hb value with the highest concordance probability as the best discriminatory threshold. Results 11 datasets from 8 countries including 27 626 children were analysed. Hb significantly discriminated 21 of 47 concurrent and 11 of 32 longitudinal Hb-outcome associations. Best Hb discriminatory thresholds ranged from 102 to 111 g/L for concurrent physical activity outcomes, 103–116 g/L for concurrent developmental outcomes, and 109–117 g/L for longitudinal developmental outcomes. The I 2 for the pooled AUC analysis indicated generally low to moderate heterogeneity across studies. Conclusions The current WHO cut-offs to define anaemia among children are in the middle to upper range of Hb values that best discriminate concurrent physical activity and development, and are in the lower range of values that best discriminate subsequent child development. Along with other types of evidence, this study provides additional evidence to inform Hb cut-offs to define anaemia among young children

Concordance · Confidence interval · Meta-analysis · Percentile · Pooled analysis · Pooled variance · Receiver operating characteristic · Socioemotional selectivity theory · Hemoglobinopathies and Related Disorders · Iron Metabolism and Disorders · Nutrition, Genetics, and Disease

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