Regional trends in birth weight in low- and middle-income countries 2013-2018.


Journal

Reproductive health
ISSN: 1742-4755
Titre abrégé: Reprod Health
Pays: England
ID NLM: 101224380

Informations de publication

Date de publication:
17 Dec 2020
Historique:
received: 26 10 2020
accepted: 28 10 2020
entrez: 18 12 2020
pubmed: 19 12 2020
medline: 16 6 2021
Statut: epublish

Résumé

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). 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 birth weights were obtained for all infants born during the study period. This was done either by abstracting from the infants' health facility records or from direct measurement by the registry staff for infants born at home. After controlling for demographic characteristics, mixed-effect regression models were utilized to examine regional differences in birth weights over time. The overall BW meanswere higher for the African sites (Zambia and Kenya), 3186 g (SD 463 g) in 2013 and 3149 g (SD 449 g) in 2018, ascompared to Asian sites (Belagavi and Nagpur, India and Pakistan), 2717 g (SD450 g) in 2013 and 2713 g (SD 452 g) in 2018. The Central American site (Guatemala) had a mean BW intermediate between the African and south Asian sites, 2928 g (SD 452) in 2013, and 2874 g (SD 448) in 2018. The low birth weight (LBW) incidence was highest in the south Asian sites (India and Pakistan) and lowest in the African sites (Kenya and Zambia). The size of regional differences varied somewhat over time with slight decreases in the gap in birth weights between the African and Asian sites and slight increases in the gap between the African and Central American sites. Overall, BWmeans by global region did not change significantly over the 5-year study period. From 2013 to 2018, infants enrolled at the African sites demonstrated the highest BW means overall across the entire study period, particularly as compared to Asian sites. The incidence of LBW was highest in the Asian sites (India and Pakistan) compared to the African and Central American sites. Trial registration The study is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475.

Sections du résumé

BACKGROUND 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 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 birth weights were obtained for all infants born during the study period. This was done either by abstracting from the infants' health facility records or from direct measurement by the registry staff for infants born at home. After controlling for demographic characteristics, mixed-effect regression models were utilized to examine regional differences in birth weights over time.
RESULTS RESULTS
The overall BW meanswere higher for the African sites (Zambia and Kenya), 3186 g (SD 463 g) in 2013 and 3149 g (SD 449 g) in 2018, ascompared to Asian sites (Belagavi and Nagpur, India and Pakistan), 2717 g (SD450 g) in 2013 and 2713 g (SD 452 g) in 2018. The Central American site (Guatemala) had a mean BW intermediate between the African and south Asian sites, 2928 g (SD 452) in 2013, and 2874 g (SD 448) in 2018. The low birth weight (LBW) incidence was highest in the south Asian sites (India and Pakistan) and lowest in the African sites (Kenya and Zambia). The size of regional differences varied somewhat over time with slight decreases in the gap in birth weights between the African and Asian sites and slight increases in the gap between the African and Central American sites.
CONCLUSIONS CONCLUSIONS
Overall, BWmeans by global region did not change significantly over the 5-year study period. From 2013 to 2018, infants enrolled at the African sites demonstrated the highest BW means overall across the entire study period, particularly as compared to Asian sites. The incidence of LBW was highest in the Asian sites (India and Pakistan) compared to the African and Central American sites. Trial registration The study is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475.

Identifiants

pubmed: 33334365
doi: 10.1186/s12978-020-01026-2
pii: 10.1186/s12978-020-01026-2
pmc: PMC7745347
doi:

Banques de données

ClinicalTrials.gov
['NCT01073475']

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

176

Subventions

Organisme : NICHD NIH HHS
ID : UG1 HD076461
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD078439
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD076465
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD078438
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD076457
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD076474
Pays : United States

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Auteurs

Irene Marete (I)

Moi University School of Medicine, Eldoret, Kenya. mareteirene07@yahoo.com.

Osayame Ekhaguere (O)

Division of Neonatal-Perinatal Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.

Carla M Bann (CM)

RTI International, Durham, NC, USA.

Sherri L Bucher (SL)

Division of Neonatal-Perinatal Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.

Paul Nyongesa (P)

Moi University School of Medicine, Eldoret, Kenya.

Archana B Patel (AB)

Lata Medical Research Foundation, Nagpur, India.

Patricia L Hibberd (PL)

Boston University School of Public Health, Boston, MA, USA.

Sarah Saleem (S)

Aga Khan University, Karachi, Pakistan.

Robert L Goldenberg (RL)

Department of Obstetrics and Gynecology, Columbia University School of Medicine, New York, NY, USA.

Shivaprasad S Goudar (SS)

KLE Academy Higher Education and Research, J N Medical College Belagavi, Karnataka, India.

Richard J Derman (RJ)

Thomas Jefferson University, Philadelphia, USA.

Ana L Garces (AL)

Instituto de Nutrición de Centroamérica y Panamá, Guatemala City, Guatemala.

Nancy F Krebs (NF)

University of Colorado School of Medicine, Denver, CO, USA.

Elwyn Chomba (E)

University Teaching Hospital, Lusaka, Zambia.

Waldemar A Carlo (WA)

University of Alabama at Birmingham, Birmingham, AL, USA.

Adrien Lokangaka (A)

Kinshasa School of Public Health, Kinshasa, Democratic Republic of Congo.

Melissa Bauserman (M)

University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Marion Koso-Thomas (M)

Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.

Janet L Moore (JL)

RTI International, Durham, NC, USA.

Elizabeth M McClure (EM)

RTI International, Durham, NC, USA.

Fabian Esamai (F)

Moi University School of Medicine, Eldoret, Kenya.

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Classifications MeSH