Maternal Malaria and Malnutrition (M3) initiative, a pooled birth cohort of 13 pregnancy studies in Africa and the Western Pacific

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Unger, Holger W.
Cates, Jordan E.
Gutman, Julie
Briand, Valerie
Fievet, Nadine
Valea, Innocent
Tinto, Halidou
d'Alessandro, Umberto
Landis, Sarah H.
Adu-Afarwuah, Seth
Dewey, Kathryn G.
Ter Kuile, Feiko
Dellicour, Stephanie
Ouma, Peter
Slutsker, Laurence
Terlouw, Dianne J.
Kariuki, Simon
Ayisi, John
Nahlen, Bernard
Desai, Meghna
Madanitsa, Mwayi
Kalilani-Phiri, Linda
Ashorn, Per
Maleta, Kenneth
Mueller, Ivo
Stanisic, Danielle
Schmiegelow, Christentze
Lusingu, John
Westreich, Daniel
et al.
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2016
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Abstract

Purpose: The Maternal Malaria and Malnutrition (M3) initiative has pooled together 13 studies with the hope of improving understanding of malaria–nutrition interactions during pregnancy and to foster collaboration between nutritionists and malariologists. Participants: Data were pooled on 14 635 singleton, live birth pregnancies from women who had participated in 1 of 13 pregnancy studies. The 13 studies cover 8 countries in Africa and Papua New Guinea in the Western Pacific conducted from 1996 to 2015. Findings to date: Data are available at the time of antenatal enrolment of women into their respective parent study and at delivery. The data set comprises essential data such as malaria infection status, anthropometric assessments of maternal nutritional status, presence of anaemia and birth weight, as well as additional variables such gestational age at delivery for a subset of women. Participating studies are described in detail with regard to setting and primary outcome measures, and summarised data are available from each contributing cohort. Future plans: This pooled birth cohort is the largest pregnancy data set to date to permit a more definite evaluation of the impact of plausible interactions between poor nutritional status and malaria infection in pregnant women on fetal growth and gestational length. Given the current comparative lack of large pregnancy cohorts in malaria-endemic settings, compilation of suitable pregnancy cohorts is likely to provide adequate statistical power to assess malaria– nutrition interactions, and could point towards settings where such interactions are most relevant. The M3 cohort may thus help to identify pregnant women at high risk of adverse outcomes who may benefit from tailored intensive antenatal care including nutritional supplements and alternative or intensified malaria prevention regimens, and the settings in which these interventions would be most effective.

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BMJ Open

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6

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12

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© The Author(s) 2016. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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Clinical sciences

Health services and systems

Public health

Epidemiology not elsewhere classified

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