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Full-Text Articles in Obstetrics and Gynecology
Rates And Risk Factors For Preterm Birth And Low Birthweight In The Global Network Sites In Six Low- And Low Middle-Income Countries, Yamini V. Pusdekar, Archana B. Patel, Kunal G. Kurhe, Savita R. Bhargav, Vanessa Thorsten, Ana Garces, Robert L. Goldenberg, Shivaprasad S. Goudar, Sarah Saleem, Fabian Esamai
Rates And Risk Factors For Preterm Birth And Low Birthweight In The Global Network Sites In Six Low- And Low Middle-Income Countries, Yamini V. Pusdekar, Archana B. Patel, Kunal G. Kurhe, Savita R. Bhargav, Vanessa Thorsten, Ana Garces, Robert L. Goldenberg, Shivaprasad S. Goudar, Sarah Saleem, Fabian Esamai
Community Health Sciences
Background: Preterm birth continues to be a major public health problem contributing to 75% of the neonatal mortality worldwide. Low birth weight (LBW) is an important but imperfect surrogate for prematurity when accurate assessment of gestational age is not possible. While there is overlap between preterm birth and LBW newborns, those that are both premature and LBW are at the highest risk of adverse neonatal outcomes. Understanding the epidemiology of preterm birth and LBW is important for prevention and improved care for at risk newborns, but in many countries, data are sparse and incomplete.
Methods: We conducted data analyses using …
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 …