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Suboptimal gestational weight gain and neonatal outcomes in low and middle income countries: individual participant data meta-analysis

OBJECTIVE: To estimate the associations between gestational weight gain (GWG) during pregnancy and neonatal outcomes in low and middle income countries. DESIGN: Individual participant data meta-analysis. SETTING: Prospective pregnancy studies from 24 low and middle income countries. MAIN OUTCOME MEA...

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Autores principales: Perumal, Nandita, Wang, Dongqing, Darling, Anne Marie, Liu, Enju, Wang, Molin, Ahmed, Tahmeed, Christian, Parul, Dewey, Kathryn G, Kac, Gilberto, Kennedy, Stephen H, Subramoney, Vishak, Briggs, Brittany, Fawzi, Wafaie W, Abioye, Ajibola Ibraheem, Accrombessi, Manfred, Adu-Afarwuah, Seth, Alves, Joao Guilherme, de Araújo, Carla Adriane Leal, Arifeen, Shams, Artes, Rinaldo, Ashorn, Per, Ashorn, Ulla, Ayoola, Omolola Olukemi, Chico-Barba, Gabriela, Bernstein, Robin, Bhutta, Zulfiqar A, Briand, Valérie, Calvo, Elvira Beatriz, Cardoso, Marly Augusto, Cheng, Yue, Clayton, Peter Ellis, Collins, Shalean M, Cruickshank, John Kennedy, Devakumar, Delanjathan, Duggan, Christopher P, Dwarkanath, Pratibha, Fair, Frankie J, Friis, Henrik, Gernand, Alison D, Ghosh, Shibani, Gomo, Exnevia, Grais, Rebecca, Guindo, Ousmane, Gutierrez, Guadalupe Estrada, Hambidge, K Michael, Haque, Rezwanul, Huybregts, Lieven, Iqbal, Romaina, Isanaka, Sheila, West, Keith P, da Silva Junior, José Roberto, Ome-Kaius, Maria, Katz, Joanne, Khatry, Subarna, Kolsteren, Patrick, Krebs, Nancy F, Kulmala, Teija, Kumar, Pratap, Kurpad, Anura V, Lachat, Carl, Lartey, Anna, Li, Qian, Lauer, Jacqueline M, Loy, See Ling, Lipoeto, Nur Indrawaty, López, Laura Beatriz, Mahmud, Abdullah Al, Maiya, G Arun, Maleta, Kenneth, Malta, Maíra Barreto, Manandhar, Dharma S, Mangani, Charles, Martin-Prevel, Yves, Martorell, Reynaldo, Matias, Susana L, McClure, Elizabeth M, Miller, Joshua D, Mohamad, Marhazlina, Mohamed, Hamid Jan Jan, Moore, Sophie, Mosquera, Paola S, Mridha, Malay Kanti, Mugusi, Ferdinand M, Muñoz-Manrique, Cinthya, Nanga, Salifu, Natamba, Barnabas K, Nkhoma, Minyanga, Osrin, David, Pembe, Andrea B, Perichart-Perera, Otilia, Bawah, Ahmed Tijani, Ofori, Eric Kwasi, Premji, Zul, Prentice, Andrew M, Pyykkö, Juha, Ramachandra, Preetha, Ramakrishnan, Usha, Rivera, Juan, Roberfroid, Dominique, Rodríguez-Cano, Ameyalli, Rodrigues, Patricia Lima, Rogerson, Stephen J, Martínez-Rojano, Hugo, Rondó, Patricia H C, Roth, Daniel E, Sámano, Reyna, Saville, Naomi M, Shaikh, Saijuddin, Shrestha, Bhim P, Shrestha, Robin, Soltani, Hora, Soofi, Sajid, Thomas, Tinku, Tielsch, James, Unger, Holger W, Urassa, Willy, Vaz, Juliana dos Santos, Wu, Lee, Yang, Nianhong, Young, Sera L, Zeng, Lingxia, Zhong, Chunrong, Zhu, Zhonghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512803/
https://www.ncbi.nlm.nih.gov/pubmed/37734757
http://dx.doi.org/10.1136/bmj-2022-072249
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author Perumal, Nandita
Wang, Dongqing
Darling, Anne Marie
Liu, Enju
Wang, Molin
Ahmed, Tahmeed
Christian, Parul
Dewey, Kathryn G
Kac, Gilberto
Kennedy, Stephen H
Subramoney, Vishak
Briggs, Brittany
Fawzi, Wafaie W
Abioye, Ajibola Ibraheem
Accrombessi, Manfred
Adu-Afarwuah, Seth
Alves, Joao Guilherme
de Araújo, Carla Adriane Leal
Arifeen, Shams
Artes, Rinaldo
Ashorn, Per
Ashorn, Ulla
Ayoola, Omolola Olukemi
Chico-Barba, Gabriela
Bernstein, Robin
Bhutta, Zulfiqar A
Briand, Valérie
Calvo, Elvira Beatriz
Cardoso, Marly Augusto
Cheng, Yue
Clayton, Peter Ellis
Collins, Shalean M
Cruickshank, John Kennedy
Devakumar, Delanjathan
Duggan, Christopher P
Dwarkanath, Pratibha
Fair, Frankie J
Friis, Henrik
Gernand, Alison D
Ghosh, Shibani
Gomo, Exnevia
Grais, Rebecca
Guindo, Ousmane
Gutierrez, Guadalupe Estrada
Hambidge, K Michael
Haque, Rezwanul
Huybregts, Lieven
Iqbal, Romaina
Isanaka, Sheila
West, Keith P
da Silva Junior, José Roberto
Ome-Kaius, Maria
Katz, Joanne
Khatry, Subarna
Kolsteren, Patrick
Krebs, Nancy F
Kulmala, Teija
Kumar, Pratap
Kurpad, Anura V
Lachat, Carl
Lartey, Anna
Li, Qian
Lauer, Jacqueline M
Loy, See Ling
Lipoeto, Nur Indrawaty
López, Laura Beatriz
Mahmud, Abdullah Al
Maiya, G Arun
Maleta, Kenneth
Malta, Maíra Barreto
Manandhar, Dharma S
Mangani, Charles
Martin-Prevel, Yves
Martorell, Reynaldo
Matias, Susana L
McClure, Elizabeth M
Miller, Joshua D
Mohamad, Marhazlina
Mohamed, Hamid Jan Jan
Moore, Sophie
Mosquera, Paola S
Mridha, Malay Kanti
Mugusi, Ferdinand M
Muñoz-Manrique, Cinthya
Nanga, Salifu
Natamba, Barnabas K
Nkhoma, Minyanga
Osrin, David
Pembe, Andrea B
Perichart-Perera, Otilia
Bawah, Ahmed Tijani
Ofori, Eric Kwasi
Premji, Zul
Prentice, Andrew M
Pyykkö, Juha
Ramachandra, Preetha
Ramakrishnan, Usha
Rivera, Juan
Roberfroid, Dominique
Rodríguez-Cano, Ameyalli
Rodrigues, Patricia Lima
Rogerson, Stephen J
Martínez-Rojano, Hugo
Rondó, Patricia H C
Roth, Daniel E
Sámano, Reyna
Saville, Naomi M
Shaikh, Saijuddin
Shrestha, Bhim P
Shrestha, Robin
Soltani, Hora
Soofi, Sajid
Thomas, Tinku
Tielsch, James
Unger, Holger W
Urassa, Willy
Vaz, Juliana dos Santos
Wu, Lee
Yang, Nianhong
Young, Sera L
Zeng, Lingxia
Zhong, Chunrong
Zhu, Zhonghai
author_facet Perumal, Nandita
Wang, Dongqing
Darling, Anne Marie
Liu, Enju
Wang, Molin
Ahmed, Tahmeed
Christian, Parul
Dewey, Kathryn G
Kac, Gilberto
Kennedy, Stephen H
Subramoney, Vishak
Briggs, Brittany
Fawzi, Wafaie W
Abioye, Ajibola Ibraheem
Accrombessi, Manfred
Adu-Afarwuah, Seth
Alves, Joao Guilherme
de Araújo, Carla Adriane Leal
Arifeen, Shams
Artes, Rinaldo
Ashorn, Per
Ashorn, Ulla
Ayoola, Omolola Olukemi
Chico-Barba, Gabriela
Bernstein, Robin
Bhutta, Zulfiqar A
Briand, Valérie
Calvo, Elvira Beatriz
Cardoso, Marly Augusto
Cheng, Yue
Clayton, Peter Ellis
Collins, Shalean M
Cruickshank, John Kennedy
Devakumar, Delanjathan
Duggan, Christopher P
Dwarkanath, Pratibha
Fair, Frankie J
Friis, Henrik
Gernand, Alison D
Ghosh, Shibani
Gomo, Exnevia
Grais, Rebecca
Guindo, Ousmane
Gutierrez, Guadalupe Estrada
Hambidge, K Michael
Haque, Rezwanul
Huybregts, Lieven
Iqbal, Romaina
Isanaka, Sheila
West, Keith P
da Silva Junior, José Roberto
Ome-Kaius, Maria
Katz, Joanne
Khatry, Subarna
Kolsteren, Patrick
Krebs, Nancy F
Kulmala, Teija
Kumar, Pratap
Kurpad, Anura V
Lachat, Carl
Lartey, Anna
Li, Qian
Lauer, Jacqueline M
Loy, See Ling
Lipoeto, Nur Indrawaty
López, Laura Beatriz
Mahmud, Abdullah Al
Maiya, G Arun
Maleta, Kenneth
Malta, Maíra Barreto
Manandhar, Dharma S
Mangani, Charles
Martin-Prevel, Yves
Martorell, Reynaldo
Matias, Susana L
McClure, Elizabeth M
Miller, Joshua D
Mohamad, Marhazlina
Mohamed, Hamid Jan Jan
Moore, Sophie
Mosquera, Paola S
Mridha, Malay Kanti
Mugusi, Ferdinand M
Muñoz-Manrique, Cinthya
Nanga, Salifu
Natamba, Barnabas K
Nkhoma, Minyanga
Osrin, David
Pembe, Andrea B
Perichart-Perera, Otilia
Bawah, Ahmed Tijani
Ofori, Eric Kwasi
Premji, Zul
Prentice, Andrew M
Pyykkö, Juha
Ramachandra, Preetha
Ramakrishnan, Usha
Rivera, Juan
Roberfroid, Dominique
Rodríguez-Cano, Ameyalli
Rodrigues, Patricia Lima
Rogerson, Stephen J
Martínez-Rojano, Hugo
Rondó, Patricia H C
Roth, Daniel E
Sámano, Reyna
Saville, Naomi M
Shaikh, Saijuddin
Shrestha, Bhim P
Shrestha, Robin
Soltani, Hora
Soofi, Sajid
Thomas, Tinku
Tielsch, James
Unger, Holger W
Urassa, Willy
Vaz, Juliana dos Santos
Wu, Lee
Yang, Nianhong
Young, Sera L
Zeng, Lingxia
Zhong, Chunrong
Zhu, Zhonghai
author_sort Perumal, Nandita
collection PubMed
description OBJECTIVE: To estimate the associations between gestational weight gain (GWG) during pregnancy and neonatal outcomes in low and middle income countries. DESIGN: Individual participant data meta-analysis. SETTING: Prospective pregnancy studies from 24 low and middle income countries. MAIN OUTCOME MEASURES: Nine neonatal outcomes related to timing (preterm birth) and anthropometry (weight, length, and head circumference) at birth, stillbirths, and neonatal death. ANALYSIS METHODS: A systematic search was conducted in PubMed, Embase, and Web of Science which identified 53 prospective pregnancy studies published after the year 2000 with data on GWG, timing and anthropometry at birth, and neonatal mortality. GWG adequacy was defined as the ratio of the observed maternal weight gain over the recommended weight gain based on the Institute of Medicine body mass index specific guidelines, which are derived from data in high income settings, and the INTERGROWTH-21st GWG standards. Study specific estimates, adjusted for confounders, were generated and then pooled using random effects meta-analysis models. Maternal age and body mass index before pregnancy were examined as potential modifiers of the associations between GWG adequacy and neonatal outcomes. RESULTS: Overall, 55% of participants had severely inadequate (<70%) or moderately inadequate (70% to <90%) GWG, 22% had adequate GWG (90-125%), and 23% had excessive GWG (≥125%). Severely inadequate GWG was associated with a higher risk of low birthweight (adjusted relative risk 1.62, 95% confidence interval 1.51 to 1.72; 48 studies, 93 337 participants; τ(2)=0.006), small for gestational age (1.44, 1.36 to 1.54; 51 studies, 93 191 participants; τ(2)=0.016), short for gestational age (1.47, 1.29 to 1.69; 40 studies, 83 827 participants; τ(2)=0.074), and microcephaly (1.57, 1.31 to 1.88; 31 studies, 80 046 participants; τ(2)=0.145) compared with adequate GWG. Excessive GWG was associated with a higher risk of preterm birth (1.22, 1.13 to 1.31; 48 studies, 103 762 participants; τ(2)=0.008), large for gestational age (1.44, 1.33 to 1.57; 47 studies, 90 044 participants; τ(2)=0.009), and macrosomia (1.52, 1.33 to 1.73; 29 studies, 68 138 participants; τ(2)=0) compared with adequate GWG. The direction and magnitude of the associations between GWG adequacy and several neonatal outcomes were modified by maternal age and body mass index before pregnancy. CONCLUSIONS: Inadequate and excessive GWG are associated with a higher risk of adverse neonatal outcomes across settings. Interventions to promote optimal GWG during pregnancy are likely to reduce the burden of adverse neonatal outcomes, however further research is needed to assess optimal ranges of GWG based on data from low and middle income countries.
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spelling pubmed-105128032023-09-22 Suboptimal gestational weight gain and neonatal outcomes in low and middle income countries: individual participant data meta-analysis Perumal, Nandita Wang, Dongqing Darling, Anne Marie Liu, Enju Wang, Molin Ahmed, Tahmeed Christian, Parul Dewey, Kathryn G Kac, Gilberto Kennedy, Stephen H Subramoney, Vishak Briggs, Brittany Fawzi, Wafaie W Abioye, Ajibola Ibraheem Accrombessi, Manfred Adu-Afarwuah, Seth Alves, Joao Guilherme de Araújo, Carla Adriane Leal Arifeen, Shams Artes, Rinaldo Ashorn, Per Ashorn, Ulla Ayoola, Omolola Olukemi Chico-Barba, Gabriela Bernstein, Robin Bhutta, Zulfiqar A Briand, Valérie Calvo, Elvira Beatriz Cardoso, Marly Augusto Cheng, Yue Clayton, Peter Ellis Collins, Shalean M Cruickshank, John Kennedy Devakumar, Delanjathan Duggan, Christopher P Dwarkanath, Pratibha Fair, Frankie J Friis, Henrik Gernand, Alison D Ghosh, Shibani Gomo, Exnevia Grais, Rebecca Guindo, Ousmane Gutierrez, Guadalupe Estrada Hambidge, K Michael Haque, Rezwanul Huybregts, Lieven Iqbal, Romaina Isanaka, Sheila West, Keith P da Silva Junior, José Roberto Ome-Kaius, Maria Katz, Joanne Khatry, Subarna Kolsteren, Patrick Krebs, Nancy F Kulmala, Teija Kumar, Pratap Kurpad, Anura V Lachat, Carl Lartey, Anna Li, Qian Lauer, Jacqueline M Loy, See Ling Lipoeto, Nur Indrawaty López, Laura Beatriz Mahmud, Abdullah Al Maiya, G Arun Maleta, Kenneth Malta, Maíra Barreto Manandhar, Dharma S Mangani, Charles Martin-Prevel, Yves Martorell, Reynaldo Matias, Susana L McClure, Elizabeth M Miller, Joshua D Mohamad, Marhazlina Mohamed, Hamid Jan Jan Moore, Sophie Mosquera, Paola S Mridha, Malay Kanti Mugusi, Ferdinand M Muñoz-Manrique, Cinthya Nanga, Salifu Natamba, Barnabas K Nkhoma, Minyanga Osrin, David Pembe, Andrea B Perichart-Perera, Otilia Bawah, Ahmed Tijani Ofori, Eric Kwasi Premji, Zul Prentice, Andrew M Pyykkö, Juha Ramachandra, Preetha Ramakrishnan, Usha Rivera, Juan Roberfroid, Dominique Rodríguez-Cano, Ameyalli Rodrigues, Patricia Lima Rogerson, Stephen J Martínez-Rojano, Hugo Rondó, Patricia H C Roth, Daniel E Sámano, Reyna Saville, Naomi M Shaikh, Saijuddin Shrestha, Bhim P Shrestha, Robin Soltani, Hora Soofi, Sajid Thomas, Tinku Tielsch, James Unger, Holger W Urassa, Willy Vaz, Juliana dos Santos Wu, Lee Yang, Nianhong Young, Sera L Zeng, Lingxia Zhong, Chunrong Zhu, Zhonghai BMJ Research OBJECTIVE: To estimate the associations between gestational weight gain (GWG) during pregnancy and neonatal outcomes in low and middle income countries. DESIGN: Individual participant data meta-analysis. SETTING: Prospective pregnancy studies from 24 low and middle income countries. MAIN OUTCOME MEASURES: Nine neonatal outcomes related to timing (preterm birth) and anthropometry (weight, length, and head circumference) at birth, stillbirths, and neonatal death. ANALYSIS METHODS: A systematic search was conducted in PubMed, Embase, and Web of Science which identified 53 prospective pregnancy studies published after the year 2000 with data on GWG, timing and anthropometry at birth, and neonatal mortality. GWG adequacy was defined as the ratio of the observed maternal weight gain over the recommended weight gain based on the Institute of Medicine body mass index specific guidelines, which are derived from data in high income settings, and the INTERGROWTH-21st GWG standards. Study specific estimates, adjusted for confounders, were generated and then pooled using random effects meta-analysis models. Maternal age and body mass index before pregnancy were examined as potential modifiers of the associations between GWG adequacy and neonatal outcomes. RESULTS: Overall, 55% of participants had severely inadequate (<70%) or moderately inadequate (70% to <90%) GWG, 22% had adequate GWG (90-125%), and 23% had excessive GWG (≥125%). Severely inadequate GWG was associated with a higher risk of low birthweight (adjusted relative risk 1.62, 95% confidence interval 1.51 to 1.72; 48 studies, 93 337 participants; τ(2)=0.006), small for gestational age (1.44, 1.36 to 1.54; 51 studies, 93 191 participants; τ(2)=0.016), short for gestational age (1.47, 1.29 to 1.69; 40 studies, 83 827 participants; τ(2)=0.074), and microcephaly (1.57, 1.31 to 1.88; 31 studies, 80 046 participants; τ(2)=0.145) compared with adequate GWG. Excessive GWG was associated with a higher risk of preterm birth (1.22, 1.13 to 1.31; 48 studies, 103 762 participants; τ(2)=0.008), large for gestational age (1.44, 1.33 to 1.57; 47 studies, 90 044 participants; τ(2)=0.009), and macrosomia (1.52, 1.33 to 1.73; 29 studies, 68 138 participants; τ(2)=0) compared with adequate GWG. The direction and magnitude of the associations between GWG adequacy and several neonatal outcomes were modified by maternal age and body mass index before pregnancy. CONCLUSIONS: Inadequate and excessive GWG are associated with a higher risk of adverse neonatal outcomes across settings. Interventions to promote optimal GWG during pregnancy are likely to reduce the burden of adverse neonatal outcomes, however further research is needed to assess optimal ranges of GWG based on data from low and middle income countries. BMJ Publishing Group Ltd. 2023-09-21 /pmc/articles/PMC10512803/ /pubmed/37734757 http://dx.doi.org/10.1136/bmj-2022-072249 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Perumal, Nandita
Wang, Dongqing
Darling, Anne Marie
Liu, Enju
Wang, Molin
Ahmed, Tahmeed
Christian, Parul
Dewey, Kathryn G
Kac, Gilberto
Kennedy, Stephen H
Subramoney, Vishak
Briggs, Brittany
Fawzi, Wafaie W
Abioye, Ajibola Ibraheem
Accrombessi, Manfred
Adu-Afarwuah, Seth
Alves, Joao Guilherme
de Araújo, Carla Adriane Leal
Arifeen, Shams
Artes, Rinaldo
Ashorn, Per
Ashorn, Ulla
Ayoola, Omolola Olukemi
Chico-Barba, Gabriela
Bernstein, Robin
Bhutta, Zulfiqar A
Briand, Valérie
Calvo, Elvira Beatriz
Cardoso, Marly Augusto
Cheng, Yue
Clayton, Peter Ellis
Collins, Shalean M
Cruickshank, John Kennedy
Devakumar, Delanjathan
Duggan, Christopher P
Dwarkanath, Pratibha
Fair, Frankie J
Friis, Henrik
Gernand, Alison D
Ghosh, Shibani
Gomo, Exnevia
Grais, Rebecca
Guindo, Ousmane
Gutierrez, Guadalupe Estrada
Hambidge, K Michael
Haque, Rezwanul
Huybregts, Lieven
Iqbal, Romaina
Isanaka, Sheila
West, Keith P
da Silva Junior, José Roberto
Ome-Kaius, Maria
Katz, Joanne
Khatry, Subarna
Kolsteren, Patrick
Krebs, Nancy F
Kulmala, Teija
Kumar, Pratap
Kurpad, Anura V
Lachat, Carl
Lartey, Anna
Li, Qian
Lauer, Jacqueline M
Loy, See Ling
Lipoeto, Nur Indrawaty
López, Laura Beatriz
Mahmud, Abdullah Al
Maiya, G Arun
Maleta, Kenneth
Malta, Maíra Barreto
Manandhar, Dharma S
Mangani, Charles
Martin-Prevel, Yves
Martorell, Reynaldo
Matias, Susana L
McClure, Elizabeth M
Miller, Joshua D
Mohamad, Marhazlina
Mohamed, Hamid Jan Jan
Moore, Sophie
Mosquera, Paola S
Mridha, Malay Kanti
Mugusi, Ferdinand M
Muñoz-Manrique, Cinthya
Nanga, Salifu
Natamba, Barnabas K
Nkhoma, Minyanga
Osrin, David
Pembe, Andrea B
Perichart-Perera, Otilia
Bawah, Ahmed Tijani
Ofori, Eric Kwasi
Premji, Zul
Prentice, Andrew M
Pyykkö, Juha
Ramachandra, Preetha
Ramakrishnan, Usha
Rivera, Juan
Roberfroid, Dominique
Rodríguez-Cano, Ameyalli
Rodrigues, Patricia Lima
Rogerson, Stephen J
Martínez-Rojano, Hugo
Rondó, Patricia H C
Roth, Daniel E
Sámano, Reyna
Saville, Naomi M
Shaikh, Saijuddin
Shrestha, Bhim P
Shrestha, Robin
Soltani, Hora
Soofi, Sajid
Thomas, Tinku
Tielsch, James
Unger, Holger W
Urassa, Willy
Vaz, Juliana dos Santos
Wu, Lee
Yang, Nianhong
Young, Sera L
Zeng, Lingxia
Zhong, Chunrong
Zhu, Zhonghai
Suboptimal gestational weight gain and neonatal outcomes in low and middle income countries: individual participant data meta-analysis
title Suboptimal gestational weight gain and neonatal outcomes in low and middle income countries: individual participant data meta-analysis
title_full Suboptimal gestational weight gain and neonatal outcomes in low and middle income countries: individual participant data meta-analysis
title_fullStr Suboptimal gestational weight gain and neonatal outcomes in low and middle income countries: individual participant data meta-analysis
title_full_unstemmed Suboptimal gestational weight gain and neonatal outcomes in low and middle income countries: individual participant data meta-analysis
title_short Suboptimal gestational weight gain and neonatal outcomes in low and middle income countries: individual participant data meta-analysis
title_sort suboptimal gestational weight gain and neonatal outcomes in low and middle income countries: individual participant data meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512803/
https://www.ncbi.nlm.nih.gov/pubmed/37734757
http://dx.doi.org/10.1136/bmj-2022-072249
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AT dugganchristopherp suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT dwarkanathpratibha suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT fairfrankiej suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT friishenrik suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT gernandalisond suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT ghoshshibani suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT gomoexnevia suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT graisrebecca suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT guindoousmane suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT gutierrezguadalupeestrada suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT hambidgekmichael suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT haquerezwanul suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT huybregtslieven suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT iqbalromaina suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT isanakasheila suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT westkeithp suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT dasilvajuniorjoseroberto suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT omekaiusmaria suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT katzjoanne suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT khatrysubarna suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT kolsterenpatrick suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT krebsnancyf suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT kulmalateija suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT kumarpratap suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT kurpadanurav suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT lachatcarl suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT larteyanna suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT liqian suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT lauerjacquelinem suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT loyseeling suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT lipoetonurindrawaty suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT lopezlaurabeatriz suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT mahmudabdullahal suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT maiyagarun suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT maletakenneth suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT maltamairabarreto suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT manandhardharmas suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT manganicharles suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT martinprevelyves suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT martorellreynaldo suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT matiassusanal suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT mcclureelizabethm suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT millerjoshuad suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT mohamadmarhazlina suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT mohamedhamidjanjan suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT mooresophie suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT mosquerapaolas suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT mridhamalaykanti suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT mugusiferdinandm suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT munozmanriquecinthya suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT nangasalifu suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT natambabarnabask suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT nkhomaminyanga suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT osrindavid suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT pembeandreab suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT perichartpereraotilia suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT bawahahmedtijani suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT oforierickwasi suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT premjizul suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT prenticeandrewm suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT pyykkojuha suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT ramachandrapreetha suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT ramakrishnanusha suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT riverajuan suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT roberfroiddominique suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT rodriguezcanoameyalli suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT rodriguespatricialima suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT rogersonstephenj suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT martinezrojanohugo suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT rondopatriciahc suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT rothdaniele suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT samanoreyna suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT savillenaomim suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT shaikhsaijuddin suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT shresthabhimp suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT shrestharobin suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT soltanihora suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT soofisajid suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT thomastinku suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT tielschjames suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT ungerholgerw suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT urassawilly suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT vazjulianadossantos suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT wulee suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT yangnianhong suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT youngseral suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT zenglingxia suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT zhongchunrong suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis
AT zhuzhonghai suboptimalgestationalweightgainandneonataloutcomesinlowandmiddleincomecountriesindividualparticipantdatametaanalysis