Evidence map›Paper›PMID 42049389›Full record

ArticleBMJ global health2026

Haemoglobin concentration thresholds that discriminate functional outcomes among children aged 6-30 months in eight countries: a pooled analysis of individual participant data.

Elizabeth L Prado, Leila M Larson, Charles D Arnold, K Ryan Wessells, Anuraj H Shankar, Seth Adu-Afarwuah, Benjamin F Arnold, Per Ashorn, Ulla Ashorn, Elodie Becquey and 29 more

Abstract read
In one paragraph

Article in BMJ global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

39 authors.

Elizabeth L PradoInstitute for Global Nutrition & Department of Nutrition, University of California Davis, Davis, California, USA.ORCID 0000-0002-5388-081X
Leila M LarsonDepartment of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, South Carolina, USA larsonl@mailbox.sc.edu.ORCID 0000-0002-2570-7323
Charles D ArnoldInstitute for Global Nutrition & Department of Nutrition, University of California Davis, Davis, California, USA.
K Ryan WessellsInstitute for Global Nutrition & Department of Nutrition, University of California Davis, Davis, California, USA.
Anuraj H ShankarCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Seth Adu-AfarwuahDepartment of Nutrition and Food Science, University of Ghana, Accra, Ghana.
Benjamin F ArnoldFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California, USA.
Per AshornCenter for Child, Adolescent and Maternal Health Research, Tampere University Faculty of Medicine and Health Technology, Tampere, Finland.ORCID 0000-0003-2311-2593
Ulla AshornCenter for Child, Adolescent and Maternal Health Research, Tampere University Faculty of Medicine and Health Technology, Tampere, Finland.
Elodie BecqueyNutrition, Diets, and Health Unit, International Food Policy Research Institute, Washington, District of Columbia, USA.
Kenneth H BrownInstitute for Global Nutrition & Department of Nutrition, University of California Davis, Davis, California, USA.
Jaya ChandnaDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Bernard ChasekwaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Yue-Mei FanCenter for Child, Adolescent and Maternal Health Research, Tampere University Faculty of Medicine and Health Technology, Tampere, Finland.ORCID 0000-0002-3241-6225
Emanuela GalassoDevelopment Research Group, World Bank, Washington, District of Columbia, USA.
Sonja Y HessInstitute for Global Nutrition & Department of Nutrition, University of California Davis, Davis, California, USA.
Lieven HuybregtsNutrition, Diets, and Health Unit, International Food Policy Research Institute, Washington, District of Columbia, USA.ORCID 0000-0002-3068-2853
Kaniz JannatSchool of Health Sciences, Western Sydney University, Penrith, New South Wales, Australia.
Elizabeth Yakes JimenezDepartments of Pediatrics and Internal Medicine and College of Population Health, The University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Anna LarteyDepartment of Nutrition and Food Science, University of Ghana, Accra, Ghana.
Agnes Le PortMontpellier Interdisciplinary Center on Sustainable Agri food systems, French National Research Institute for Sustainable Development, Marseille, France.
Jef L LeroyNutrition, Diets, and Health Unit, International Food Policy Research Institute, Washington, District of Columbia, USA.ORCID 0000-0001-9371-3832
Stephen P LubyDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, California, USA.
Kenneth MaletaDepartment of Public Health, School of Public Health and Family Medicine, University of Malawi College of Medicine, Blantyre, Malawi.
Andrew MatchadoDepartment of Public Health, School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi.
Susana L MatiasDepartment of Medical Biology and Nutrition, University of California Berkeley, Berkeley, California, USA.
Malay Kanti MridhaCenter for Non-Communicable Diseases and Nutrition, BRAC University James P Grant School of Public Health, Dhaka, Bangladesh.
Kuda MutasaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Clair NullMathematica Inc, Washington, Washington, USA.
Harriet OkronipaDepartment of Nutritional Sciences, Oklahoma State University, Stillwater, Oklahoma, USA.
Jean Bosco OuédraogoHealth Sciences Research Institute, Bobo-Dioulasso, Burkina Faso.ORCID 0000-0003-0412-8733
Amy PickeringTufts University School of Engineering, Medford, Massachusetts, USA.
John PhukaDepartment of Public Health, School of Public Health and Family Medicine, University of Malawi College of Medicine, Blantyre, Malawi.
Anna PulakkaResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Lisy RatsifandrihamananaCentre Médico-Educatif "Les Orchidées Blanches", Antananarivo, Madagascar.
Christine P StewartInstitute for Global Nutrition & Department of Nutrition, University of California Davis, Davis, California, USA.
Fahmida TofailNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Ann M WeberDepartment of Biostatistics, Epidemiology and Environmental Health, University of Nevada Reno School of Public Health, Reno, Nevada, USA.ORCID 0000-0001-8130-5858
Kathryn G DeweyInstitute for Global Nutrition & Department of Nutrition, University of California Davis, Davis, California, USA.ORCID 0000-0002-4185-3451

Funding

Bill & Melinda Gates Foundation OPP49817
6 · The paper itself

Abstract

introductionThe 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.

methodsWe 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.

results11 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

conclusionsThe 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.

Indexed as

AnemiaChild DevelopmentHemoglobinsChild, PreschoolFemaleHumansInfantMaleReference ValuesHemoglobinsAnaemiaChild health

Identifiers

PMID42049389
PMCPMC13141236

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.