TY - JOUR
T1 - Maternal Malaria and Malnutrition (M3) initiative, a pooled birth cohort of 13 pregnancy studies in Africa and the Western Pacific
AU - Unger, Holger W
AU - Cates, Jordan E
AU - Gutman, Julie
AU - Briand, Valerie
AU - Fievet, Nadine
AU - Valea, Innocent
AU - Tinto, Halidou
AU - d'Alessandro, Umberto
AU - Landis, Sarah H
AU - Adu-Afarwuah, Seth
AU - Dewey, Kathryn G
AU - Ter Kuile, Feiko
AU - Dellicour, Stephanie
AU - Ouma, Peter
AU - Slutsker, Laurence
AU - Terlouw, Dianne J
AU - Kariuki, Simon
AU - Ayisi, John
AU - Nahlen, Bernard
AU - Desai, Meghna
AU - Madanitsa, Mwayi
AU - Kalilani-Phiri, Linda
AU - Ashorn, Per
AU - Maleta, Kenneth
AU - Mueller, Ivo
AU - Stanisic, Danielle
AU - Schmiegelow, Christentze
AU - Lusingu, John
AU - Westreich, Daniel
AU - van Eijk, Anna Maria
AU - Meshnick, Steven
AU - Rogerson, Stephen
N1 - Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - 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 14â €..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.
AB - 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 14â €..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.
U2 - 10.1136/bmjopen-2016-012697
DO - 10.1136/bmjopen-2016-012697
M3 - Journal article
C2 - 28003287
SN - 2044-6055
VL - 6
JO - BMJ Open
JF - BMJ Open
IS - 12
M1 - e012697
ER -