@article{Unger2016-na,

title = {Maternal Malaria and Malnutrition (M3) initiative, a pooled birth 

 cohort of 13 pregnancy studies in Africa and the Western Pacific},

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

year  = {2016},

date = {2016-12-01},

journal = {BMJ Open},

volume = {6},

number = {12},

pages = {e012697},

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.},

keywords = {malaria; malnutrition; pregnancy},

pubstate = {published},

tppubtype = {article}

}