Published in

Nature Research, Nature Medicine, 10(27), p. 1761-1782, 2021

DOI: 10.1038/s41591-021-01498-0

Links

Tools

Export citation

Search in Google Scholar

Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

Journal article published in 2021 by Damaris Kinyoki, Aaron E. Osgood-Zimmerman, Natalia V. Bhattacharjee, Lauren E. Schaeffer, Alice Lazzar-Atwood, Dan Lu, Samuel B. Ewald, Katie M. Donkers, Ian D. Letourneau, Michael Collison, Megan F. Schipp, Amanuel Abajobir, Sima Abbasi, Nooshin Abbasi, Mitra Abbasifard and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

AbstractAnemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations.