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Full-Text Articles in Medicine and Health Sciences
Association Of Parity With Birthweight And Neonatal Death In Five Sites: The Global Network's Maternal Newborn Health Registry Study, Ana Garces, Wilton Perez, Margo S. Harrison, Kay S. Hwang, Tracy L. Nolen, Robert L. Goldenberg, Archana B. Patel, Patricia L. Hibberd, Adrien Lokangaka, Sarah Saleem
Association Of Parity With Birthweight And Neonatal Death In Five Sites: The Global Network's Maternal Newborn Health Registry Study, Ana Garces, Wilton Perez, Margo S. Harrison, Kay S. Hwang, Tracy L. Nolen, Robert L. Goldenberg, Archana B. Patel, Patricia L. Hibberd, Adrien Lokangaka, Sarah Saleem
Community Health Sciences
Background: Nulliparity has been associated with lower birth weight (BW) and other adverse pregnancy outcomes, with most of the data coming from high-income countries. In this study, we examined birth weight for gestational age z-scores and neonatal (28-day) mortality in a large prospective cohort of women dated by first trimester ultrasound from multiple sites in low and middle-income countries.
Methods: Pregnant women were recruited during the first trimester of pregnancy and followed through 6 weeks postpartum from Maternal Newborn Health Registry (MNHR) sites in the Democratic Republic of Congo (DRC), Guatemala, Belagavi and Nagpur, India, and Pakistan from 2017 and …
Regional Trends In Birth Weight In Low- And Middle-Income Countries 2013-2018, Irene Marete, Osayame Ekhaguere, Carla M. Bann, Sherri L. Bucher, Paul Nyongesa, Archana B. Patel, Patricia L. Hibberd, Sarah Saleem, Robert L. Goldenberg, Shivaprasad S. Goudar
Regional Trends In Birth Weight In Low- And Middle-Income Countries 2013-2018, Irene Marete, Osayame Ekhaguere, Carla M. Bann, Sherri L. Bucher, Paul Nyongesa, Archana B. Patel, Patricia L. Hibberd, Sarah Saleem, Robert L. Goldenberg, Shivaprasad S. Goudar
Community Health Sciences
Background: Birth weight (BW) is a strong predictor of neonatal outcomes. The purpose of this study was to compare BWs between global regions (south Asia, sub-Saharan Africa, Central America) prospectively and to determine if trends exist in BW over time using the population-based maternal and newborn registry (MNHR) of the Global Network for Women'sand Children's Health Research (Global Network).
Methods: The MNHR is a prospective observational population-based registryof six research sites participating in the Global Network (2013-2018), within five low- and middle-income countries (Kenya, Zambia, India, Pakistan, and Guatemala) in threeglobal regions (sub-Saharan Af rica, south Asia, Central America). The …